LGBT+-People's-Reported-Social-and-Health-Adaptations-to-COVID-19-in-Mexico-City_2-a3-whu.mp3
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good afternoon everybody my name is
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Renard and as Leon I am the director of
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the UCLA Center for Mexican Studies and
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it is my distinct pleasure to welcome
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all of you to our event this afternoon
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this is the last of the season and the
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last of a series of events focusing on
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the impact of the Kovach 19 pandemic on
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Mexico and I will introduce our speaker
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shortly
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cristina chica but for now I will begin
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with two acknowledgments that we read at
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the beginning of every event the first
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acknowledgment is an acknowledgement of
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the natives native peoples of this
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region of Southern California the Center
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for Mexican studies at UCLA acknowledges
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that we are really not owned by peoples
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as the traditional land caretakers of
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the Los Angeles basin in southern
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Channel Islands as a land-grant
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institution we pay our respects to the
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ancestors the elders our relatives and
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relations past present and emerging I
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will read now a read press release a
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statement of the International Institute
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supporting the movement for black lives
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and black lives matter the UCLA
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International Institute stands
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unequivocally against the egregious and
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disproportionate violence faced by
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blacks in America and the systemic
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disenfranchisement and oppression of
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marginalized communities across the
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world as the as the home of
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International Studies on the UCLA campus
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it is the Institute's mission to
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involvin people to connect through their
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shared humanity and think
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transnationally and across borders yet
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these past few weeks have humbled and
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reminded us of our duty to listen to our
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community so that we can learn how to be
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the ally that they deserve in the fight
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for justice including against anti black
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racism
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and now it is my distinct pleasure to
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introduce our speaker today christina
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chica christina is a doctoral candidate
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in sociology at UCLA she is a
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multi-method
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researcher who works in the areas of
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gender and sexuality critical geography
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and urban sociology today
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Christina will will be presenting
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preliminary results of her work in
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Mexico City in the strategies and
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adaptations of the LLG lgbtq+ community
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in Mexico City in the context of the
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copied 19 pandemic so Christina welcome
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thank you for making yourself available
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in this very complex times and the floor
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is yours thank you again thank you to
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Ben for the invitation all right hi
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everyone thank you so much for coming to
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lgbtq+ peoples reported social and
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health adapt ations to kovin 19 in
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mexico city before I get started I want
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to give a special thanks to my co
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researcher Araceli on photo I also want
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to check to thank all of them so
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Hernandez is Tiffany a Ksenia de Paris
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Fernanda Viegas Ignacio Lozano middle
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school fourth headed up and who Safina
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Flores Morales who were all key and
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helping to shape the survey and the
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process moving forward so why did we
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create this survey essentially it came
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from caring about two main research
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questions the first being how is the
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lgbtq+ population of Mexico City
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spatially and technologically adapting
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to kovat and then what we will be
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discussing more today is how is Kovach
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19 affecting the personal and social
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health outcomes especially mental health
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outcomes of lgbtq+ people in Mexico City
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so this is also part of how they're
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staying socially connected how this
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difference varies by demographic
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variables and most importantly for this
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particular presentation how that varies
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within the lgbtq+ acronym
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identity so the survey instrument was
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put together by consulting a variety of
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materials the inquest semester now so
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that is human se on which is a survey
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put out by a Mexican body that puts that
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other types of surveys another survey
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that was put out by a LGBT group in
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Mexico City called mrs. Ines de la
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población LBT IQA durante la conciencia
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for Cogan 19 and CD MX it was a needs
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assessment survey that complements
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actually pretty well what we were doing
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on a more academic level and then
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another online survey that was put out
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on koban 19 by scholars at and collected
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enough from that uh Northam you'll see
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on the right hand side we also consulted
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some best practices from the UCLA
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Williams Institute we looked at the
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Mexican census and then some other
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specific surveys so for example an
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hiv-related survey for the trans
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population that's the city there just to
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be clear these pictures on the right
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hand side aren't an endorsement or
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partnerships I just wanted to have a
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visual representation of some of the
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sources that we consulted so we put the
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survey together using Qualtrics it's an
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online one time self-reported volunteer
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survey it was distributed through a
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snowball sample via individual and LGBT
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plus organizational networks mostly
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through social media online email and
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people were allowed to share with
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whoever they wanted to share with and it
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was available all of mate from 2020 so
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we have a respondents who took it
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various times during one time at various
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points in May and it's 59 questions in
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total it's in Spanish which means that
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everything that you see here that's in
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question format a response format has
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been translated and we also had a
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variety of question types
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we had yes-or-no questions multiple
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choice fill ins there were some
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questions that appeared after you
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answered yes to something we had some
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self populating questions as well and
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all of these questions were designed for
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both quantitative and qualitative
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analysis as a whole but specifically for
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today's purposes we'll have dummy and
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recoated variables that lend themselves
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better to quantitative analysis
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our questions delve into a couple of
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different themes right we have
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demographics social networks facial
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behavior before and after coded LGBT
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plus specific connectivity before and
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after Co vid health strategies disaster
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response mental health and physical
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health before and after Kovach 19 all of
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this is self-reported data and then
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things that are involved here are
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essentially what we're going to be
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spending the most focus on today so a
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quick look at the sample overall we have
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three hundred and sixty seven unique
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participants with an 81% survey
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completion rate you'll notice that the
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count on some of our tables is higher
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than 367 and that was only in instances
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where the questions allowed you to pick
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more than one answer to which we were
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just looking more at the aggregate or
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answers great so before I delve in I
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just want to say that these are
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preliminary results again we're mostly
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going to be focusing on sample wide
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responses and there will be moments
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where we dive a little bit deeper into
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sexual orientation and gender then
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towards the end of the presentation
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we'll get a little bit more specific
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with some of the tests that we have
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begun to run and what we plan to do
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moving forward so you see this table
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here is a tab and of central orientation
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and sexual behavior we had a few
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different questions that we're getting
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at similar types of themes just to see
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how they would compare from our
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chi-square test you can see with the
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probability on the lower right hand side
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it's very much related right the
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relationship there is not independent
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which means that most people who
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identify as lesbian gay bisexual or
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somewhere in the plus category which
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includes things like queer pansexual all
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of those identities and then in terms of
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their sexual behavior it corresponding
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pretty pretty nicely right right if you
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take a look at our table on age you'll
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see that it's pretty normally
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distributed you'll notice that we have
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an over-representation of men in this
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sample and most of the respondents are
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in the middle age category
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great so speaking a little bit about
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education and occupation and disability
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on the left hand side you'll notice a
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word cloud with different work labels
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essentially we put together that from
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the different options that we had we
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allowed respondents to take different
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types of career paths or sectors right
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and so you'll notice that whichever
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words are the largest proportionally and
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that will be true of every word cloud
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are the ones that were the most likely
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to be picked so you'll see entrepreneur
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consultant private sector public sector
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activist etc this is just a sampling of
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the responses and also something that's
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really interesting is that a fourth of
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the sample self-reported having at least
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some postgraduate education which means
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that our sample is a quite an educated
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population especially considering
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Mexicans Mexico's educated population
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overall is proportionately much smaller
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right and before I get into disability
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another reason why that's important is
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to say this is an online distribute
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survey which means that of course if you
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didn't have access to a computer or
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reliable internet or a phone you weren't
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going to be able to take the survey
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which could also account in some extent
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for the over-representation of educated
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people
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so only seven-point 65 percent of the
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respondents for the question on
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disability reported having a disability
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here are some of the things that they
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mentioned visual disabilities right HIV
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what's really interesting about this
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fact is later on when we talk about
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at-risk conditions right you'll notice
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that the percentage of people who report
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having those is much much much higher
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and so another reason why a variety of
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question types helps us get add really
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what's going on health-wise with our
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respondents so a quick note on race we
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asked five questions that were
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specifically geared towards getting a
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sort of racial and ethnic composition of
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our participants the interesting note
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about this is that we followed Census
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and other Mexican survey specific norms
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of asking about whether or not you
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pertain to an indigenous population more
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salient now is this idea of
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afro-descendants right but usually those
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so ask questions about skin color and so
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we wanted to ask what do you consider
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your racial and ethnic identity with an
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open response someone as an experiment
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to see what Mexicans were gonna say
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since sort of racial and ethnic salience
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operates in a very different way we also
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asked do you consider yourself
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indigenous or part of one Drupal or
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tehina do right do you speak an
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indigenous language if so which
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indigenous language do you speak and
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then do you consider yourself black afro
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Mexican or of Afro descent there were
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very few people who did speak an
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indigenous language um Quechua was on
278
00:11:22,399 --> 00:11:28,100
there so was that cool and there was a
279
00:11:25,459 --> 00:11:31,430
language that's affiliated with the
280
00:11:28,100 --> 00:11:32,540
region of San Luis Potosi and so what's
281
00:11:31,430 --> 00:11:35,300
really interesting here is you'll notice
282
00:11:32,540 --> 00:11:38,089
that the biggest word is Latino and that
283
00:11:35,300 --> 00:11:40,430
got us thinking right because one of the
284
00:11:38,089 --> 00:11:42,259
things that we were wondering about is
285
00:11:40,430 --> 00:11:44,059
whether or not the prevalence of the
286
00:11:42,259 --> 00:11:45,800
term Latino was something that was
287
00:11:44,059 --> 00:11:48,379
selected because remember this was
288
00:11:45,800 --> 00:11:50,059
filling your own because the respondents
289
00:11:48,379 --> 00:11:52,730
knew that we were us researchers or
290
00:11:50,059 --> 00:11:54,949
perhaps it was a racial ethnic category
291
00:11:52,730 --> 00:11:56,629
and concept that has really migrated to
292
00:11:54,949 --> 00:11:59,089
this part of the world and is being
293
00:11:56,629 --> 00:12:01,519
adopted less surprising was the second
294
00:11:59,089 --> 00:12:03,079
most prevalent which was missile mostly
295
00:12:01,519 --> 00:12:05,120
because the Mexican nation-state right
296
00:12:03,079 --> 00:12:06,769
has this larger ideological project of
297
00:12:05,120 --> 00:12:08,720
thinking about all of its citizens as a
298
00:12:06,769 --> 00:12:10,519
combination of European and indigenous
299
00:12:08,720 --> 00:12:12,410
and so it wasn't surprising that that
300
00:12:10,519 --> 00:12:13,459
was something that was on there well
301
00:12:12,410 --> 00:12:16,519
then of course you have these other
302
00:12:13,459 --> 00:12:18,139
terms like mo Daniel even Modi no cloud
303
00:12:16,519 --> 00:12:20,180
all right that were more sort of in
304
00:12:18,139 --> 00:12:25,639
reference to skin color so I found that
305
00:12:20,180 --> 00:12:27,829
interesting all right so the respondents
306
00:12:25,639 --> 00:12:29,660
were allowed to take the survey if they
307
00:12:27,829 --> 00:12:30,350
were in CDM X but also in the Acela de
308
00:12:29,660 --> 00:12:32,899
Mexico
309
00:12:30,350 --> 00:12:35,389
the reason for that is because the
310
00:12:32,899 --> 00:12:36,800
boundaries are somewhat arbitrary and we
311
00:12:35,389 --> 00:12:38,360
wanted to take into account that there
312
00:12:36,800 --> 00:12:41,300
were folks who might have lived in Acela
313
00:12:38,360 --> 00:12:42,740
than Mexico but were operating fully in
314
00:12:41,300 --> 00:12:45,170
terms of their social lives in terms of
315
00:12:42,740 --> 00:12:47,089
their jobs within smooth out the Mexican
316
00:12:45,170 --> 00:12:49,370
I think a good comparison would be to
317
00:12:47,089 --> 00:12:51,499
think of Los Angeles how the actual
318
00:12:49,370 --> 00:12:53,720
boundaries of the city are a particular
319
00:12:51,499 --> 00:12:55,459
set but of course there are parts of LA
320
00:12:53,720 --> 00:12:57,559
that even if they're not under those
321
00:12:55,459 --> 00:12:59,509
boundaries we in our cultural and sort
322
00:12:57,559 --> 00:13:02,630
of more geographic imagination
323
00:12:59,509 --> 00:13:05,720
understand those to be Los Angeles
324
00:13:02,630 --> 00:13:08,240
not as surprisingly we had 19 percent of
325
00:13:05,720 --> 00:13:10,040
respondents say that they lived in the
326
00:13:08,240 --> 00:13:13,280
municipality of what demo which was
327
00:13:10,040 --> 00:13:15,260
inside Mexico City and then we had the
328
00:13:13,280 --> 00:13:17,690
second highest being in Benito Juarez
329
00:13:15,260 --> 00:13:20,360
right so what that make is the place
330
00:13:17,690 --> 00:13:22,630
that most LGBT nightlife actually occurs
331
00:13:20,360 --> 00:13:24,650
in it also has most of those resources
332
00:13:22,630 --> 00:13:26,750
Khayyam that is which is considered the
333
00:13:24,650 --> 00:13:29,990
gaze street of Mexico City is also
334
00:13:26,750 --> 00:13:32,090
located here in this municipality this
335
00:13:29,990 --> 00:13:34,430
one of Rosa and so it's interesting to
336
00:13:32,090 --> 00:13:35,990
see that it's also important to note I
337
00:13:34,430 --> 00:13:38,090
think that it's a space that's in going
338
00:13:35,990 --> 00:13:40,040
a lot of gentrification it's very
339
00:13:38,090 --> 00:13:42,170
international there's changes that are
340
00:13:40,040 --> 00:13:44,870
going on and if we have a more highly
341
00:13:42,170 --> 00:13:47,270
represented highly educated represented
342
00:13:44,870 --> 00:13:49,340
population it makes somewhat sense that
343
00:13:47,270 --> 00:13:51,620
we would have a lot of residents in
344
00:13:49,340 --> 00:13:53,570
these two municipalities where I would
345
00:13:51,620 --> 00:13:56,600
say what more middle and upper middle
346
00:13:53,570 --> 00:13:59,930
class people live and in terms of place
347
00:13:56,600 --> 00:14:02,840
of origin most were born in Mexico City
348
00:13:59,930 --> 00:14:06,440
we have 7.67 born in the assaut the
349
00:14:02,840 --> 00:14:08,900
mythical and then 27.9 five percent came
350
00:14:06,440 --> 00:14:10,760
from other Mexican states this is
351
00:14:08,900 --> 00:14:13,460
important to know mostly because when we
352
00:14:10,760 --> 00:14:15,200
think about queer migration right
353
00:14:13,460 --> 00:14:16,790
internal migration into big cities we
354
00:14:15,200 --> 00:14:19,220
can see that this probably is a trend
355
00:14:16,790 --> 00:14:22,220
that is applicable to Mexico City as
356
00:14:19,220 --> 00:14:24,380
well and then 3.29 percent were from
357
00:14:22,220 --> 00:14:26,540
abroad so we're going to dive into
358
00:14:24,380 --> 00:14:28,540
relationships a little bit sixty four
359
00:14:26,540 --> 00:14:31,250
point 84 percent of the respondents were
360
00:14:28,540 --> 00:14:33,740
single and when I say single I mean
361
00:14:31,250 --> 00:14:37,550
actually single not just single legally
362
00:14:33,740 --> 00:14:39,260
in terms of divorce or separation we
363
00:14:37,550 --> 00:14:40,940
allow for a lot of type of a lot of
364
00:14:39,260 --> 00:14:43,490
relational types to be represented of
365
00:14:40,940 --> 00:14:45,400
those who are in a relationship 9.0
366
00:14:43,490 --> 00:14:47,900
seven are in monogamous relationships
367
00:14:45,400 --> 00:14:51,500
26.1% are in non-monogamous
368
00:14:47,900 --> 00:14:54,260
relationships and we also wanted to get
369
00:14:51,500 --> 00:14:56,960
a little bit into our respondents social
370
00:14:54,260 --> 00:14:59,540
networks so we found that 19 percent of
371
00:14:56,960 --> 00:15:02,270
the respondents for this question ninety
372
00:14:59,540 --> 00:15:04,850
percent of them had almost all non LGBT
373
00:15:02,270 --> 00:15:07,760
friends there was eighteen point four
374
00:15:04,850 --> 00:15:10,270
that had almost exclusively LGBT friends
375
00:15:07,760 --> 00:15:13,580
but of course the majority of the sample
376
00:15:10,270 --> 00:15:15,850
63% had a mix of friends in their social
377
00:15:13,580 --> 00:15:17,560
networks
378
00:15:15,850 --> 00:15:19,149
interesting tidbit the lesbians in our
379
00:15:17,560 --> 00:15:21,339
sample were more likely to have only
380
00:15:19,149 --> 00:15:26,130
LGBT friends than the other sexual
381
00:15:21,339 --> 00:15:29,350
orientation categories cool so a fourth
382
00:15:26,130 --> 00:15:30,910
identified as being dependence you'll
383
00:15:29,350 --> 00:15:32,949
notice here that proportionally speaking
384
00:15:30,910 --> 00:15:39,990
you are less likely to have been a
385
00:15:32,949 --> 00:15:43,209
dependent if you were a sis man right
386
00:15:39,990 --> 00:15:45,750
probably for lots of reasons that have
387
00:15:43,209 --> 00:15:47,860
to do with economic positionings and
388
00:15:45,750 --> 00:15:50,170
whether or not they have access to
389
00:15:47,860 --> 00:15:53,130
certain kinds of resources right but
390
00:15:50,170 --> 00:15:54,780
then when we flip that over
391
00:15:53,130 --> 00:15:56,730
in terms of thinking about dependents
392
00:15:54,780 --> 00:15:59,460
and children right we noticed that only
393
00:15:56,730 --> 00:16:04,440
about 10% of the sample of respondents
394
00:15:59,460 --> 00:16:06,350
have children and 8% of those 10% have
395
00:16:04,440 --> 00:16:10,080
only about one or two kids
396
00:16:06,350 --> 00:16:11,940
however 30% have dependents right and so
397
00:16:10,080 --> 00:16:15,330
what that means is that well not very
398
00:16:11,940 --> 00:16:17,700
many people have children plenty of
399
00:16:15,330 --> 00:16:20,940
people do have someone perhaps a family
400
00:16:17,700 --> 00:16:23,400
member perhaps perhaps a partner who are
401
00:16:20,940 --> 00:16:25,770
financially or dependent on them in some
402
00:16:23,400 --> 00:16:27,870
sort of way and you see that when you
403
00:16:25,770 --> 00:16:30,320
look at the gay category and you look
404
00:16:27,870 --> 00:16:32,610
from kids to dependents right it it
405
00:16:30,320 --> 00:16:34,860
rises significantly afterwards so
406
00:16:32,610 --> 00:16:37,550
there's quite a few people who are
407
00:16:34,860 --> 00:16:41,250
identify as gay in this sample who are
408
00:16:37,550 --> 00:16:41,940
financially supporting others great so
409
00:16:41,250 --> 00:16:45,210
we're gonna talk a little bit about
410
00:16:41,940 --> 00:16:46,770
housing twelve point six point sixty
411
00:16:45,210 --> 00:16:47,790
seven percent of the sample stated they
412
00:16:46,770 --> 00:16:51,180
had changed their housing situation
413
00:16:47,790 --> 00:16:52,950
during the pandemic of those two-thirds
414
00:16:51,180 --> 00:16:55,500
moved to another place directly due to
415
00:16:52,950 --> 00:16:57,420
kovat related reasons so they were they
416
00:16:55,500 --> 00:16:59,670
were moving and shifting perhaps because
417
00:16:57,420 --> 00:17:01,410
they lost a job you had to move in with
418
00:16:59,670 --> 00:17:03,720
somebody else or their situation wasn't
419
00:17:01,410 --> 00:17:05,850
safe for them and from the time of the
420
00:17:03,720 --> 00:17:08,430
survey half of the participants spent
421
00:17:05,850 --> 00:17:11,010
between 26 and 50 days in quarantine was
422
00:17:08,430 --> 00:17:12,959
a mean of 38 days so keeping in mind
423
00:17:11,010 --> 00:17:14,670
that participants answered at some point
424
00:17:12,959 --> 00:17:16,680
in May so by that point they might have
425
00:17:14,670 --> 00:17:20,459
been in quarantine for a couple of weeks
426
00:17:16,680 --> 00:17:21,780
perhaps a couple of months and eighty
427
00:17:20,459 --> 00:17:23,220
four point two five percent of
428
00:17:21,780 --> 00:17:25,439
participants are living with other
429
00:17:23,220 --> 00:17:27,540
humans I say that because I'm also noted
430
00:17:25,439 --> 00:17:29,550
that they were living with their pets so
431
00:17:27,540 --> 00:17:31,880
who are they living with right you'll
432
00:17:29,550 --> 00:17:35,580
notice from the table that we have a
433
00:17:31,880 --> 00:17:38,100
combination of family significant other
434
00:17:35,580 --> 00:17:40,470
friends kids pets acquaintances the
435
00:17:38,100 --> 00:17:42,450
multiple category says that there at
436
00:17:40,470 --> 00:17:43,530
least living with two or more of the
437
00:17:42,450 --> 00:17:46,050
above categories
438
00:17:43,530 --> 00:17:47,790
so there's 36 point 26 percent that are
439
00:17:46,050 --> 00:17:49,650
exclusively living with family members
440
00:17:47,790 --> 00:17:50,760
but then the next highest are the
441
00:17:49,650 --> 00:17:52,740
multiple which means that they're living
442
00:17:50,760 --> 00:17:54,450
with a combination of significant others
443
00:17:52,740 --> 00:17:56,970
friends with their kids with their pets
444
00:17:54,450 --> 00:17:58,800
and then who are completely by
445
00:17:56,970 --> 00:18:02,000
themselves without any pets you see that
446
00:17:58,800 --> 00:18:03,410
that gets closer to 10% of the sample
447
00:18:02,000 --> 00:18:07,570
all right now we're gonna dive a little
448
00:18:03,410 --> 00:18:09,620
bit into health effects so we had
449
00:18:07,570 --> 00:18:12,890
multiple questions that dealt with
450
00:18:09,620 --> 00:18:14,870
feelings and sensations that respondents
451
00:18:12,890 --> 00:18:16,700
were feeling or going through during
452
00:18:14,870 --> 00:18:19,340
this time and we grouped them into
453
00:18:16,700 --> 00:18:21,050
negative and positive emotions you'll
454
00:18:19,340 --> 00:18:22,850
notice that eighty six point seven two
455
00:18:21,050 --> 00:18:25,280
percent we're feeling a combination of
456
00:18:22,850 --> 00:18:28,130
negative emotions right but there's also
457
00:18:25,280 --> 00:18:30,710
some people for whom the pandemic has
458
00:18:28,130 --> 00:18:31,640
actually been helpful right perhaps
459
00:18:30,710 --> 00:18:33,590
because they have more time at home
460
00:18:31,640 --> 00:18:36,170
there's a lot of reasons that that could
461
00:18:33,590 --> 00:18:39,080
be so you'll notice here from this word
462
00:18:36,170 --> 00:18:41,300
cloud that we have all of the different
463
00:18:39,080 --> 00:18:42,740
options and sensations some of which
464
00:18:41,300 --> 00:18:43,790
respondents were allowed to write in
465
00:18:42,740 --> 00:18:47,000
place together
466
00:18:43,790 --> 00:18:48,830
the most common feeling was just stress
467
00:18:47,000 --> 00:18:51,740
feeling stressed feeling Restless
468
00:18:48,830 --> 00:18:53,450
feeling insecure afraid but then like I
469
00:18:51,740 --> 00:18:55,580
said there are some participants who
470
00:18:53,450 --> 00:18:58,970
feel more relaxed it's a more stable and
471
00:18:55,580 --> 00:19:00,890
more calm but overall the pandemic and
472
00:18:58,970 --> 00:19:02,120
all of its consequences are creating a
473
00:19:00,890 --> 00:19:07,640
lot of negative health effects
474
00:19:02,120 --> 00:19:10,430
eventually speaking so to speaks
475
00:19:07,640 --> 00:19:12,020
directly to sleep outcomes ten percent
476
00:19:10,430 --> 00:19:14,420
of the respondents reported
477
00:19:12,020 --> 00:19:17,300
extraordinary dreams a third of them are
478
00:19:14,420 --> 00:19:19,940
sleeping more than usual but 57 percent
479
00:19:17,300 --> 00:19:21,740
are sleeping less than usual so what our
480
00:19:19,940 --> 00:19:24,760
key being what's keeping people up at
481
00:19:21,740 --> 00:19:27,530
night well it could be some of these
482
00:19:24,760 --> 00:19:30,560
issues that we have on this table right
483
00:19:27,530 --> 00:19:31,970
kovat 19 related concerns which talk
484
00:19:30,560 --> 00:19:33,500
about health concerns talk about
485
00:19:31,970 --> 00:19:35,870
interpersonal conflict losing work
486
00:19:33,500 --> 00:19:37,730
caching Kovan what's interesting here as
487
00:19:35,870 --> 00:19:40,340
well notice that the highest cumulative
488
00:19:37,730 --> 00:19:42,260
percentage in terms of selections was
489
00:19:40,340 --> 00:19:44,600
the economy in the state of the country
490
00:19:42,260 --> 00:19:47,330
right so really what's keeping people up
491
00:19:44,600 --> 00:19:49,270
at night is how mexico is going through
492
00:19:47,330 --> 00:19:52,010
this I mean I can say that the vessel
493
00:19:49,270 --> 00:19:54,470
depreciated already significantly and
494
00:19:52,010 --> 00:19:56,300
you know economic situations are really
495
00:19:54,470 --> 00:19:58,580
what people are concerned with then
496
00:19:56,300 --> 00:20:00,530
followed by loved ones catching Cove in
497
00:19:58,580 --> 00:20:02,919
nineteen among other types of concerns
498
00:20:00,530 --> 00:20:05,429
that you can see here
499
00:20:02,919 --> 00:20:05,429
all right
500
00:20:06,179 --> 00:20:12,480
so 56% of the respondents to this
501
00:20:10,529 --> 00:20:15,210
question self-reported at least one of
502
00:20:12,480 --> 00:20:16,799
the following conditions right so these
503
00:20:15,210 --> 00:20:20,129
conditions were picked in terms of their
504
00:20:16,799 --> 00:20:22,230
high risk potential for having
505
00:20:20,129 --> 00:20:24,419
complications or death if you were to
506
00:20:22,230 --> 00:20:27,240
catch kovat 19 so you see we have
507
00:20:24,419 --> 00:20:29,820
obesity HIV cardiovascular disease and
508
00:20:27,240 --> 00:20:32,759
issues and so I want to say that this
509
00:20:29,820 --> 00:20:34,889
56% is quite quite noticeable and
510
00:20:32,759 --> 00:20:37,289
significant just for the fact that these
511
00:20:34,889 --> 00:20:39,389
sorts of questions tend to receive under
512
00:20:37,289 --> 00:20:41,879
reporting and so the fact that that many
513
00:20:39,389 --> 00:20:43,679
people were able to say yes I have these
514
00:20:41,879 --> 00:20:46,110
sorts of conditions and they're you know
515
00:20:43,679 --> 00:20:48,990
concerning for me shows just how much
516
00:20:46,110 --> 00:20:51,149
this sample population has these health
517
00:20:48,990 --> 00:20:55,190
concerns right and like I said since we
518
00:20:51,149 --> 00:20:58,499
are representing mostly this and gay men
519
00:20:55,190 --> 00:21:01,639
fact that HIV is large on this word
520
00:20:58,499 --> 00:21:01,639
cloud is also not surprising
521
00:21:02,660 --> 00:21:07,200
but what's also interesting note is that
522
00:21:04,890 --> 00:21:08,730
although everyone for the most part has
523
00:21:07,200 --> 00:21:11,580
been quarantine for different amounts of
524
00:21:08,730 --> 00:21:12,990
time no one has actually stayed home
525
00:21:11,580 --> 00:21:14,850
right there are very few people who have
526
00:21:12,990 --> 00:21:17,220
actually stayed home everyone has had to
527
00:21:14,850 --> 00:21:19,140
leave for one reason or another mostly
528
00:21:17,220 --> 00:21:21,270
to buy food and errands as you see with
529
00:21:19,140 --> 00:21:23,970
the bold at forty five point seventy
530
00:21:21,270 --> 00:21:25,410
nine percent right and then you can you
531
00:21:23,970 --> 00:21:27,990
can see other reasons like visiting
532
00:21:25,410 --> 00:21:29,730
family recreation walking your dog going
533
00:21:27,990 --> 00:21:31,320
to school work and I just wanted to
534
00:21:29,730 --> 00:21:34,740
point out that even though our
535
00:21:31,320 --> 00:21:36,780
participants um mostly said that they
536
00:21:34,740 --> 00:21:38,250
were quarantine II you still have these
537
00:21:36,780 --> 00:21:39,930
instances of leaving and visiting
538
00:21:38,250 --> 00:21:41,310
members of other households right and so
539
00:21:39,930 --> 00:21:44,040
these sort of competing understandings
540
00:21:41,310 --> 00:21:48,180
of what constitutes being separated and
541
00:21:44,040 --> 00:21:50,810
not separated and leaving your home so
542
00:21:48,180 --> 00:21:53,520
now we're going to get a little bit into
543
00:21:50,810 --> 00:21:57,810
finding information related to go of it
544
00:21:53,520 --> 00:22:00,710
nineteen you'll see here these two way
545
00:21:57,810 --> 00:22:03,960
tables with chi-square computed and
546
00:22:00,710 --> 00:22:05,490
specifically looking at a tabulation of
547
00:22:03,960 --> 00:22:07,710
the frequency that one looks for
548
00:22:05,490 --> 00:22:11,040
information and COBIT related
549
00:22:07,710 --> 00:22:13,140
developments by lgbtq+ status of sexual
550
00:22:11,040 --> 00:22:15,030
orientation and then gender and sex
551
00:22:13,140 --> 00:22:17,550
so here looking at a gender identity but
552
00:22:15,030 --> 00:22:19,880
looking at sis man sis woman and all
553
00:22:17,550 --> 00:22:22,440
folks under the trans umbrella were
554
00:22:19,880 --> 00:22:24,300
aggregated together right so what you'll
555
00:22:22,440 --> 00:22:27,360
notice is that the p-values for both are
556
00:22:24,300 --> 00:22:29,310
less than point zero five and that's are
557
00:22:27,360 --> 00:22:31,140
statistically significant it doesn't
558
00:22:29,310 --> 00:22:33,240
tell us which grouping specifically this
559
00:22:31,140 --> 00:22:35,820
applies to but we can note that gender
560
00:22:33,240 --> 00:22:38,550
and sex sexual orientation when compared
561
00:22:35,820 --> 00:22:40,260
to the frequency of news are not
562
00:22:38,550 --> 00:22:42,030
independent of each other right there's
563
00:22:40,260 --> 00:22:44,870
a statistically significant relationship
564
00:22:42,030 --> 00:22:48,690
between them um I also just want to
565
00:22:44,870 --> 00:22:51,780
point out really quickly that while most
566
00:22:48,690 --> 00:22:55,880
people in both of these categories right
567
00:22:51,780 --> 00:22:58,200
we're checking the news daily gay
568
00:22:55,880 --> 00:23:00,990
respondents who identified as gay right
569
00:22:58,200 --> 00:23:03,090
or respondents who are assist men were
570
00:23:00,990 --> 00:23:04,680
more likely to check various times a day
571
00:23:03,090 --> 00:23:07,940
so they're actually cycling through the
572
00:23:04,680 --> 00:23:07,940
news more often
573
00:23:08,460 --> 00:23:11,980
where were they getting their kovat
574
00:23:10,480 --> 00:23:13,750
related developments and information
575
00:23:11,980 --> 00:23:15,789
from well there's a combination of
576
00:23:13,750 --> 00:23:18,580
sources that we have here in this table
577
00:23:15,789 --> 00:23:20,140
and you'll notice things like
578
00:23:18,580 --> 00:23:22,510
international sources academic
579
00:23:20,140 --> 00:23:24,400
scientific articles right looking at
580
00:23:22,510 --> 00:23:26,020
social media and actually the most
581
00:23:24,400 --> 00:23:27,880
popular place to go and get your
582
00:23:26,020 --> 00:23:30,159
information about kovat about public
583
00:23:27,880 --> 00:23:31,690
developments was social media right and
584
00:23:30,159 --> 00:23:33,669
then if you add that to the YouTube
585
00:23:31,690 --> 00:23:34,990
category it's even more right which
586
00:23:33,669 --> 00:23:37,120
means people are going on these websites
587
00:23:34,990 --> 00:23:38,710
perhaps looking at articles that friends
588
00:23:37,120 --> 00:23:40,299
have shared or experiences that they
589
00:23:38,710 --> 00:23:42,279
have shared online and that's where
590
00:23:40,299 --> 00:23:44,320
they're getting their information but
591
00:23:42,279 --> 00:23:46,659
second up which I find interesting is
592
00:23:44,320 --> 00:23:47,740
specifically communications from locust
593
00:23:46,659 --> 00:23:51,640
fm
594
00:23:47,740 --> 00:23:53,620
who is the Undersecretary of prevention
595
00:23:51,640 --> 00:23:55,980
and health promotion here in Mexico and
596
00:23:53,620 --> 00:24:00,549
has been really the face in a lot of
597
00:23:55,980 --> 00:24:03,970
outward news reporting about what's
598
00:24:00,549 --> 00:24:05,590
going on in terms of Mexico Mexico City
599
00:24:03,970 --> 00:24:09,730
developments Mexico more broadly in
600
00:24:05,590 --> 00:24:12,520
terms of covin okay so now we're going
601
00:24:09,730 --> 00:24:16,539
to get a little bit into kovin 19 cases
602
00:24:12,520 --> 00:24:20,110
within respondents social networks 39
603
00:24:16,539 --> 00:24:21,640
point 37 percent of respondents said
604
00:24:20,110 --> 00:24:24,490
that they knew someone who had taken a
605
00:24:21,640 --> 00:24:25,960
Kobe 19 test I think that this is a
606
00:24:24,490 --> 00:24:27,429
really big deal because it's actually
607
00:24:25,960 --> 00:24:28,890
quite difficult to get your hands on
608
00:24:27,429 --> 00:24:30,730
these tests unless you are severely
609
00:24:28,890 --> 00:24:33,190
demonstrating symptoms were already in
610
00:24:30,730 --> 00:24:34,840
the hospital for you know you do what I
611
00:24:33,190 --> 00:24:37,779
did and I muscled my way and made
612
00:24:34,840 --> 00:24:40,149
someone give me a Cova test but the
613
00:24:37,779 --> 00:24:41,890
other thing to note is that 28 point 66
614
00:24:40,149 --> 00:24:43,179
percent of respondents to this question
615
00:24:41,890 --> 00:24:44,860
said they knew someone who had been
616
00:24:43,179 --> 00:24:47,799
hospitalized in the last five months
617
00:24:44,860 --> 00:24:49,870
with Kovac 19 or quote atypical
618
00:24:47,799 --> 00:24:52,029
pneumonia the reason we decided to put
619
00:24:49,870 --> 00:24:54,210
that in the question is because there's
620
00:24:52,029 --> 00:24:57,340
a somewhat I think politically motivated
621
00:24:54,210 --> 00:24:59,409
reason to label certain cases as
622
00:24:57,340 --> 00:25:00,580
atypical pneumonia it's been on the news
623
00:24:59,409 --> 00:25:02,860
it's been in different kinds of
624
00:25:00,580 --> 00:25:06,130
discussions about how when marginalized
625
00:25:02,860 --> 00:25:08,169
populations or poor populations are sick
626
00:25:06,130 --> 00:25:09,490
and dying a disproportionate rates for
627
00:25:08,169 --> 00:25:12,580
what we call this atypical pneumonia
628
00:25:09,490 --> 00:25:14,350
it's a way of being able to label it
629
00:25:12,580 --> 00:25:15,669
without calling it koban and most of
630
00:25:14,350 --> 00:25:17,350
that has to do with the fact that those
631
00:25:15,669 --> 00:25:19,149
coded tests are not being made easily
632
00:25:17,350 --> 00:25:19,900
available they're not being taken
633
00:25:19,149 --> 00:25:22,450
sufficiently
634
00:25:19,900 --> 00:25:24,930
so it's difficult to know but it's also
635
00:25:22,450 --> 00:25:27,430
a sort of coded way of knowing that
636
00:25:24,930 --> 00:25:31,000
there's a great likelihood those cases
637
00:25:27,430 --> 00:25:32,230
could have been Kovac related and I just
638
00:25:31,000 --> 00:25:33,700
want to put it out there the official
639
00:25:32,230 --> 00:25:37,300
reports in Mexico marked the mortality
640
00:25:33,700 --> 00:25:39,130
at 12% right so what happened to these
641
00:25:37,300 --> 00:25:40,600
folks who were in the hospital or they
642
00:25:39,130 --> 00:25:44,800
knew people who had been hospitalized
643
00:25:40,600 --> 00:25:48,010
with kovat well as you can see here it
644
00:25:44,800 --> 00:25:52,930
wasn't that great right so out of the 88
645
00:25:48,010 --> 00:25:54,310
instances 42.0 5% died right which means
646
00:25:52,930 --> 00:25:56,440
by the time they got to the hospital the
647
00:25:54,310 --> 00:25:58,450
condition was so severe and there
648
00:25:56,440 --> 00:26:01,030
weren't perhaps enough resources that
649
00:25:58,450 --> 00:26:04,030
they died but then we also have 30 point
650
00:26:01,030 --> 00:26:06,430
68 percent of people whom are improving
651
00:26:04,030 --> 00:26:08,200
there's a good percentage of people who
652
00:26:06,430 --> 00:26:10,090
just didn't know what happened to the
653
00:26:08,200 --> 00:26:12,550
folks after they were admitted to the
654
00:26:10,090 --> 00:26:14,770
hospital but I think it's interesting to
655
00:26:12,550 --> 00:26:18,250
note that quite a few people in the
656
00:26:14,770 --> 00:26:20,320
sample right know someone who has been
657
00:26:18,250 --> 00:26:23,400
deeply affected by this and a lot of
658
00:26:20,320 --> 00:26:23,400
people who have passed away
659
00:26:23,590 --> 00:26:27,470
all right so getting into some health
660
00:26:25,880 --> 00:26:29,570
strategies we're gonna look at our
661
00:26:27,470 --> 00:26:31,130
question 34 from the survey what
662
00:26:29,570 --> 00:26:33,830
measures have you taken to avoid the
663
00:26:31,130 --> 00:26:36,290
spread of coded 19 so we had a
664
00:26:33,830 --> 00:26:39,260
combination of measures that respondents
665
00:26:36,290 --> 00:26:40,820
were able to pick those that applied the
666
00:26:39,260 --> 00:26:42,950
ones that stand out the most that most
667
00:26:40,820 --> 00:26:45,530
respondents are clicking on or
668
00:26:42,950 --> 00:26:47,420
participating with in some way is using
669
00:26:45,530 --> 00:26:49,310
a mask right we're covering their coughs
670
00:26:47,420 --> 00:26:50,840
and sneezes and you can see these other
671
00:26:49,310 --> 00:26:53,270
protective measures like staying home
672
00:26:50,840 --> 00:26:56,050
washing your hands measures that have
673
00:26:53,270 --> 00:26:58,220
been promoted through the news through
674
00:26:56,050 --> 00:27:00,050
sort of health media sites and
675
00:26:58,220 --> 00:27:02,120
professionals and scientists right so
676
00:27:00,050 --> 00:27:03,620
most people are trying to take these
677
00:27:02,120 --> 00:27:05,299
measures and and those are the ones that
678
00:27:03,620 --> 00:27:07,489
are most common
679
00:27:05,299 --> 00:27:08,809
and then question 20 by what method do
680
00:27:07,489 --> 00:27:10,820
you stay connected with your friends
681
00:27:08,809 --> 00:27:13,159
during koban 19 we specifically asked
682
00:27:10,820 --> 00:27:15,590
this for mental health reasons right to
683
00:27:13,159 --> 00:27:18,139
think about how it's important for your
684
00:27:15,590 --> 00:27:21,529
health to be socially close even if
685
00:27:18,139 --> 00:27:23,480
you're physically distant and we have
686
00:27:21,529 --> 00:27:25,159
the this you know this rise in video
687
00:27:23,480 --> 00:27:26,779
calls in virtual spaces right that's
688
00:27:25,159 --> 00:27:28,639
mostly what people are doing they're
689
00:27:26,779 --> 00:27:32,239
using these technical technological
690
00:27:28,639 --> 00:27:33,919
solutions and medium from which to to
691
00:27:32,239 --> 00:27:35,450
connect with each other right and so
692
00:27:33,919 --> 00:27:37,879
virtual spaces are a combination of
693
00:27:35,450 --> 00:27:39,889
social media workshops right I mean
694
00:27:37,879 --> 00:27:41,299
right now we're on a zoom call and
695
00:27:39,889 --> 00:27:41,960
that's what people are connecting with
696
00:27:41,299 --> 00:27:44,690
each other
697
00:27:41,960 --> 00:27:46,429
some organizations here that I have been
698
00:27:44,690 --> 00:27:47,869
following have also moved quite a few of
699
00:27:46,429 --> 00:27:50,299
their activities to online and virtual
700
00:27:47,869 --> 00:27:53,539
spaces so that's and that's important to
701
00:27:50,299 --> 00:27:55,669
note and now we're gonna dive a little
702
00:27:53,539 --> 00:27:59,389
bit deeper in terms of our statistical
703
00:27:55,669 --> 00:28:00,710
analysis question 30 and 35 was asking
704
00:27:59,389 --> 00:28:03,019
about participants mental and physical
705
00:28:00,710 --> 00:28:04,639
health behavior before and after the
706
00:28:03,019 --> 00:28:08,359
start of Kovach 19 whatever they
707
00:28:04,639 --> 00:28:11,659
self-reported right and so here we have
708
00:28:08,359 --> 00:28:13,399
a pairwise correlation of these
709
00:28:11,659 --> 00:28:15,259
different kinds of behaviors right these
710
00:28:13,399 --> 00:28:18,769
self-reported health habits before and
711
00:28:15,259 --> 00:28:21,950
after the start of coded 19 so
712
00:28:18,769 --> 00:28:25,700
essentially what's important to to note
713
00:28:21,950 --> 00:28:28,220
here is that we're looking at behaviors
714
00:28:25,700 --> 00:28:30,999
like exercise mindfulness eating healthy
715
00:28:28,220 --> 00:28:34,429
therapy meds and we're looking at the
716
00:28:30,999 --> 00:28:36,440
relationships between practicing those
717
00:28:34,429 --> 00:28:38,539
and practicing other healthy habits as
718
00:28:36,440 --> 00:28:40,730
well as the relationship between doing
719
00:28:38,539 --> 00:28:43,309
it prior to the start of covered 19 and
720
00:28:40,730 --> 00:28:45,109
after the start of 19 right so this
721
00:28:43,309 --> 00:28:46,940
table of correlations between various
722
00:28:45,109 --> 00:28:50,029
health habits precoded and after the
723
00:28:46,940 --> 00:28:51,739
start of kovat indicate the correlation
724
00:28:50,029 --> 00:28:53,690
between two variables artistically
725
00:28:51,739 --> 00:28:56,299
significant regarding their relationship
726
00:28:53,690 --> 00:29:00,379
to one another and you'll notice that
727
00:28:56,299 --> 00:29:02,480
the blue highlight is doing pre to pre
728
00:29:00,379 --> 00:29:04,940
right the yellow is looking after
729
00:29:02,480 --> 00:29:07,580
started college before coated and then
730
00:29:04,940 --> 00:29:12,999
the orange is looking at after behaviors
731
00:29:07,580 --> 00:29:12,999
two other behaviors so
732
00:29:13,120 --> 00:29:18,519
basically and to say this shows that
733
00:29:15,940 --> 00:29:20,259
it's the difference level at 0.05 so
734
00:29:18,519 --> 00:29:23,740
it's it's related here but digging a
735
00:29:20,259 --> 00:29:25,840
little bit deeper a couple of the
736
00:29:23,740 --> 00:29:28,860
behaviors so one of them being therapy
737
00:29:25,840 --> 00:29:32,019
or medication by gender and sex right
738
00:29:28,860 --> 00:29:38,679
here the reference group is sis men and
739
00:29:32,019 --> 00:29:40,779
this is sorry um this is a linear
740
00:29:38,679 --> 00:29:43,269
probability model right and essentially
741
00:29:40,779 --> 00:29:45,669
what we're demonstrating here if you
742
00:29:43,269 --> 00:29:48,340
look at the highlighted point right is
743
00:29:45,669 --> 00:29:50,320
that in comparison to sis men only trans
744
00:29:48,340 --> 00:29:51,999
folks showed a statistically significant
745
00:29:50,320 --> 00:29:55,149
relationship with a negative correlation
746
00:29:51,999 --> 00:29:57,580
of 25% regarding their engagement and
747
00:29:55,149 --> 00:29:59,200
therapy pre and post open so that was
748
00:29:57,580 --> 00:30:02,139
really the difference that they were
749
00:29:59,200 --> 00:30:03,909
less likely to engage in meds and taking
750
00:30:02,139 --> 00:30:06,460
medication or engaging in therapy and
751
00:30:03,909 --> 00:30:08,559
just anecdotally to add some context to
752
00:30:06,460 --> 00:30:10,899
that I'd have been part of different
753
00:30:08,559 --> 00:30:12,820
conversations and and information
754
00:30:10,899 --> 00:30:13,929
spreading where trans folks we're
755
00:30:12,820 --> 00:30:15,279
talking about the difficulty of
756
00:30:13,929 --> 00:30:17,950
receiving care and that type of
757
00:30:15,279 --> 00:30:20,710
discrimination how they've not been able
758
00:30:17,950 --> 00:30:24,580
to have as much access to specific
759
00:30:20,710 --> 00:30:27,129
gender affirmation medication and other
760
00:30:24,580 --> 00:30:28,690
types of services and you know I wonder
761
00:30:27,129 --> 00:30:31,659
out loud if that has anything to do with
762
00:30:28,690 --> 00:30:34,539
that difference and then specifically
763
00:30:31,659 --> 00:30:36,190
looking at exercise by gender sex with
764
00:30:34,539 --> 00:30:38,769
the reference group being sis women
765
00:30:36,190 --> 00:30:40,269
again we noticed that only trans folks
766
00:30:38,769 --> 00:30:41,740
showed a statistically significant
767
00:30:40,269 --> 00:30:44,110
relationship right with a negative
768
00:30:41,740 --> 00:30:46,629
correlation of 30% regarding their
769
00:30:44,110 --> 00:30:50,049
engagement and exercise compared to sis
770
00:30:46,629 --> 00:30:51,759
women and so um this is just a an
771
00:30:50,049 --> 00:30:54,340
example of how we're diving a little bit
772
00:30:51,759 --> 00:30:56,080
deeper into the variables right and
773
00:30:54,340 --> 00:30:57,460
different types of relationships and the
774
00:30:56,080 --> 00:31:00,009
strategies that we're going to be using
775
00:30:57,460 --> 00:31:01,740
moving forward to compare other types of
776
00:31:00,009 --> 00:31:05,080
variables and other types of behaviors
777
00:31:01,740 --> 00:31:07,080
by demographic identities right or by
778
00:31:05,080 --> 00:31:10,330
sexual orientation
779
00:31:07,080 --> 00:31:12,610
great so I'd be happy to answer any
780
00:31:10,330 --> 00:31:14,230
questions that anyone has and I can you
781
00:31:12,610 --> 00:31:17,019
know talk more about what I presented in
782
00:31:14,230 --> 00:31:18,429
the presentation but I also have
783
00:31:17,019 --> 00:31:21,159
questions for the audience if anyone
784
00:31:18,429 --> 00:31:23,200
would like to give some suggestions for
785
00:31:21,159 --> 00:31:26,200
how we can think about the relationship
786
00:31:23,200 --> 00:31:26,860
between certain variables or how we can
787
00:31:26,200 --> 00:31:30,130
move
788
00:31:26,860 --> 00:31:32,470
with doing our comparisons whether it's
789
00:31:30,130 --> 00:31:34,149
quantitatively or qualitatively I'm
790
00:31:32,470 --> 00:31:37,059
happy to hear any type of suggestions
791
00:31:34,149 --> 00:31:39,370
than anyone has or advice for moving
792
00:31:37,059 --> 00:31:40,510
forward with analyzing our survey
793
00:31:39,370 --> 00:31:44,070
results because these are preliminary
794
00:31:40,510 --> 00:31:47,529
results and thank you very much
795
00:31:44,070 --> 00:31:49,809
thank you thank you Christina thank you
796
00:31:47,529 --> 00:31:53,470
very much for your presentation very
797
00:31:49,809 --> 00:31:59,919
very interesting highlighting the impact
798
00:31:53,470 --> 00:32:03,279
of copied 19 on this lgbtq+ community as
799
00:31:59,919 --> 00:32:06,370
well as you know the larger impacts of
800
00:32:03,279 --> 00:32:09,010
copy 19 I think in Mexico City in
801
00:32:06,370 --> 00:32:11,710
particular because of the relationships
802
00:32:09,010 --> 00:32:15,010
that folks have with the community in
803
00:32:11,710 --> 00:32:19,720
general and in how you know they are
804
00:32:15,010 --> 00:32:24,010
responding to these extraordinary public
805
00:32:19,720 --> 00:32:28,809
health emergency so now we invite
806
00:32:24,010 --> 00:32:31,179
actually our audience to use the Q&A
807
00:32:28,809 --> 00:32:37,059
function for those who are connected via
808
00:32:31,179 --> 00:32:39,399
zoom and as or post some questions to
809
00:32:37,059 --> 00:32:42,340
Christina as she mentioned she is also
810
00:32:39,399 --> 00:32:46,179
taking suggestions on you know potential
811
00:32:42,340 --> 00:32:48,519
directions for the analysis of Abhi's of
812
00:32:46,179 --> 00:32:52,659
this survey I mean these are as she as
813
00:32:48,519 --> 00:32:55,000
she just said these are you know early
814
00:32:52,659 --> 00:32:57,820
preliminary results there's much that
815
00:32:55,000 --> 00:33:02,250
lies ahead in terms of of the analysis
816
00:32:57,820 --> 00:33:04,840
of a survey that is you know
817
00:33:02,250 --> 00:33:08,019
particularly rich in terms of the many
818
00:33:04,840 --> 00:33:10,090
different things that you guys ask your
819
00:33:08,019 --> 00:33:12,610
respondents and the kinds of comparisons
820
00:33:10,090 --> 00:33:14,710
like you like you actually can make with
821
00:33:12,610 --> 00:33:17,139
different with different populations as
822
00:33:14,710 --> 00:33:21,850
well so if you have any questions you
823
00:33:17,139 --> 00:33:25,299
can you can use the Q&A function let me
824
00:33:21,850 --> 00:33:27,429
see that we have a Longhorn and this is
825
00:33:25,299 --> 00:33:31,510
asking in Spanish okay Chris Cassidy ba
826
00:33:27,429 --> 00:33:35,519
ma respuesta de hombres sis gay Allen
827
00:33:31,510 --> 00:33:35,519
questa que otra gente Dallas
828
00:33:35,710 --> 00:33:43,150
should I go ahead so I think it's a
829
00:33:39,820 --> 00:33:47,170
combination of sampling right so in
830
00:33:43,150 --> 00:33:49,780
terms of who distributed the survey
831
00:33:47,170 --> 00:33:51,880
which networks it was able to get to I
832
00:33:49,780 --> 00:33:53,920
think that I was connected to these
833
00:33:51,880 --> 00:33:55,510
organizations and individuals whom
834
00:33:53,920 --> 00:33:56,830
perhaps most of the people who are
835
00:33:55,510 --> 00:33:59,410
interested or part of those networks
836
00:33:56,830 --> 00:34:01,270
were men I also want to say that there
837
00:33:59,410 --> 00:34:04,600
was a survey that was more of a needs
838
00:34:01,270 --> 00:34:07,030
assessment but was released by an
839
00:34:04,600 --> 00:34:09,550
organization called Musa right and the
840
00:34:07,030 --> 00:34:11,350
reason I mentioned that is because there
841
00:34:09,550 --> 00:34:13,030
were a couple of questions that tied in
842
00:34:11,350 --> 00:34:14,950
really nicely and I actually am a
843
00:34:13,030 --> 00:34:16,690
communication with them I'd love to you
844
00:34:14,950 --> 00:34:18,790
know cite their work to talk even more
845
00:34:16,690 --> 00:34:20,980
about the power of our survey and they
846
00:34:18,790 --> 00:34:23,770
actually had over representation of
847
00:34:20,980 --> 00:34:25,419
women right and so I think what that was
848
00:34:23,770 --> 00:34:29,020
was a combination perhaps of the
849
00:34:25,419 --> 00:34:30,640
network's in terms of the survey
850
00:34:29,020 --> 00:34:33,520
circulating but also maybe perhaps
851
00:34:30,640 --> 00:34:35,440
survey fatigue right I mean by the time
852
00:34:33,520 --> 00:34:37,780
that ours was released some of these
853
00:34:35,440 --> 00:34:39,429
networks overlap perhaps these women
854
00:34:37,780 --> 00:34:41,230
were more interested in taking a survey
855
00:34:39,429 --> 00:34:42,280
where they were specifically asked to
856
00:34:41,230 --> 00:34:45,429
talk about the issues they're having
857
00:34:42,280 --> 00:34:47,169
that was going to be addressed by a you
858
00:34:45,429 --> 00:34:48,700
know civil society organization as
859
00:34:47,169 --> 00:34:51,520
opposed to what we were doing which was
860
00:34:48,700 --> 00:34:53,530
you know mostly purely for academic
861
00:34:51,520 --> 00:34:57,790
reasons right so that could have been
862
00:34:53,530 --> 00:35:00,100
part of it I think you think - Kristina
863
00:34:57,790 --> 00:35:03,640
and Amy I don't know there any other
864
00:35:00,100 --> 00:35:05,380
questions you nacio alone so Vera do
865
00:35:03,640 --> 00:35:08,910
score along such question is very
866
00:35:05,380 --> 00:35:12,640
relevant all surveys surveys cater to
867
00:35:08,910 --> 00:35:15,700
LGBT tiq groups have another
868
00:35:12,640 --> 00:35:17,910
presentation of CS gay men so it's kind
869
00:35:15,700 --> 00:35:21,130
of like delving into the this particular
870
00:35:17,910 --> 00:35:24,570
issue of overall representation of a
871
00:35:21,130 --> 00:35:24,570
particular group
872
00:35:25,960 --> 00:35:32,329
at least in Mexico Ignacio says so yes
873
00:35:29,809 --> 00:35:35,960
appear something that was faced by
874
00:35:32,329 --> 00:35:39,759
different by folks doing these kinds of
875
00:35:35,960 --> 00:35:42,619
inquiries these kinds of exercises right
876
00:35:39,759 --> 00:35:44,869
I mean I do have another comment on that
877
00:35:42,619 --> 00:35:47,779
which is essentially it's the same
878
00:35:44,869 --> 00:35:49,430
reason why any type of researcher has
879
00:35:47,779 --> 00:35:52,219
issues with hard-to-reach populations
880
00:35:49,430 --> 00:35:54,349
right I mean essentially it's what is it
881
00:35:52,219 --> 00:35:57,549
in it for them right most women most
882
00:35:54,349 --> 00:36:01,069
trans folks they might not want to be
883
00:35:57,549 --> 00:36:03,460
participating in certain types of hmm I
884
00:36:01,069 --> 00:36:05,749
guess studies or certain types of
885
00:36:03,460 --> 00:36:07,940
insights into their lives if there's not
886
00:36:05,749 --> 00:36:10,700
a clear incentive there right I mean it
887
00:36:07,940 --> 00:36:12,049
might be something that you know we
888
00:36:10,700 --> 00:36:13,670
needed to work on in terms of like
889
00:36:12,049 --> 00:36:14,809
resources right and I would have loved
890
00:36:13,670 --> 00:36:17,119
to be able to just give every
891
00:36:14,809 --> 00:36:20,170
participant a certain amount and like I
892
00:36:17,119 --> 00:36:22,640
said perhaps more of that part of the
893
00:36:20,170 --> 00:36:25,160
population would have been likely to
894
00:36:22,640 --> 00:36:28,039
respond to other types of inquiries that
895
00:36:25,160 --> 00:36:29,779
were going to directly benefit them in a
896
00:36:28,039 --> 00:36:31,969
particular way then perhaps something
897
00:36:29,779 --> 00:36:35,900
like this right so it's always
898
00:36:31,969 --> 00:36:39,079
complicated but you know they were good
899
00:36:35,900 --> 00:36:42,609
Alison Ramirez is asking how has
900
00:36:39,079 --> 00:36:47,089
respondents socioeconomic status during
901
00:36:42,609 --> 00:36:48,710
co-ed our hobby if I understand
902
00:36:47,089 --> 00:36:52,039
correctly how was the respondent
903
00:36:48,710 --> 00:36:54,170
socioeconomic status impacted or how did
904
00:36:52,039 --> 00:36:56,690
it impact their methods of self-care
905
00:36:54,170 --> 00:36:58,069
self-care you're in college yeah that's
906
00:36:56,690 --> 00:37:00,529
a great question so we asked about
907
00:36:58,069 --> 00:37:02,479
occupation we asked about education but
908
00:37:00,529 --> 00:37:05,329
we didn't have a question that directly
909
00:37:02,479 --> 00:37:07,579
told them to you know tell us how much
910
00:37:05,329 --> 00:37:10,219
money they make and had part of that had
911
00:37:07,579 --> 00:37:12,950
to do with just trying to make this
912
00:37:10,219 --> 00:37:14,930
survey very specific to a Mexican
913
00:37:12,950 --> 00:37:16,700
audience right and so that those kinds
914
00:37:14,930 --> 00:37:18,440
of questions aren't asked as much in the
915
00:37:16,700 --> 00:37:19,940
types of surveys that I was consulting
916
00:37:18,440 --> 00:37:21,829
with that were given to Mexican
917
00:37:19,940 --> 00:37:23,420
audiences which is one of the reason why
918
00:37:21,829 --> 00:37:25,009
I thought that it would be an
919
00:37:23,420 --> 00:37:27,950
interesting experience to ask this
920
00:37:25,009 --> 00:37:29,479
population about race and ethnicity but
921
00:37:27,950 --> 00:37:32,539
of course like I said it is a highly
922
00:37:29,479 --> 00:37:34,430
educated population most of them live in
923
00:37:32,539 --> 00:37:36,529
the most palliative what them again Bini
924
00:37:34,430 --> 00:37:38,789
coladas of which a lot of the housing
925
00:37:36,529 --> 00:37:40,919
stock here is more expensive I'm
926
00:37:38,789 --> 00:37:42,839
in the municipality beneath the waters
927
00:37:40,919 --> 00:37:46,349
so I assumed that some of them do have
928
00:37:42,839 --> 00:37:47,910
means but it's also hard to say right I
929
00:37:46,349 --> 00:37:50,849
mean I think it was really interesting
930
00:37:47,910 --> 00:37:53,309
to see that trans folks were engaging in
931
00:37:50,849 --> 00:37:56,669
less exercise right in comparison to the
932
00:37:53,309 --> 00:38:00,059
reference groups were not engaging in
933
00:37:56,669 --> 00:38:02,039
therapy or peeing as my vacation is the
934
00:38:00,059 --> 00:38:03,900
other reference groups I'm sure if we
935
00:38:02,039 --> 00:38:05,849
play with the variables more we'll see
936
00:38:03,900 --> 00:38:06,599
some of those sorts of things and why
937
00:38:05,849 --> 00:38:08,459
would that be
938
00:38:06,599 --> 00:38:10,619
right well trans folks are the most
939
00:38:08,459 --> 00:38:13,529
marginalised part of our larger
940
00:38:10,619 --> 00:38:15,809
population right and so you know I mean
941
00:38:13,529 --> 00:38:17,609
there was I would have loved to be able
942
00:38:15,809 --> 00:38:19,410
to reach even more people I mean there
943
00:38:17,609 --> 00:38:21,479
was a respondent who and said that they
944
00:38:19,410 --> 00:38:24,089
were a sex worker and of course that has
945
00:38:21,479 --> 00:38:26,160
been really difficult here for folks in
946
00:38:24,089 --> 00:38:29,160
the city right in terms of the closures
947
00:38:26,160 --> 00:38:31,769
of hotels and areas of work finding
948
00:38:29,160 --> 00:38:34,919
housing and you know I think another
949
00:38:31,769 --> 00:38:39,449
thing to keep in mind is this population
950
00:38:34,919 --> 00:38:41,549
in some ways is probably not sort of as
951
00:38:39,449 --> 00:38:43,919
affected by the economic situation but
952
00:38:41,549 --> 00:38:46,349
they are most concerned with that right
953
00:38:43,919 --> 00:38:48,479
and like I said a great you know almost
954
00:38:46,349 --> 00:38:49,919
a third of them have dependents right
955
00:38:48,479 --> 00:38:51,419
and so I mean I think that that's
956
00:38:49,919 --> 00:38:54,709
something that we need to keep in mind
957
00:38:51,419 --> 00:38:57,029
is you know even if you don't have
958
00:38:54,709 --> 00:38:58,409
partners right officially because most
959
00:38:57,029 --> 00:39:01,229
of the sample is single even if you
960
00:38:58,409 --> 00:39:02,909
don't have children right they're still
961
00:39:01,229 --> 00:39:05,880
part of these interconnected networks of
962
00:39:02,909 --> 00:39:07,619
support and so you know they're there
963
00:39:05,880 --> 00:39:08,699
there's obviously some movement
964
00:39:07,619 --> 00:39:10,469
happening there but of course it's
965
00:39:08,699 --> 00:39:11,219
difficult for me to say right because I
966
00:39:10,469 --> 00:39:14,429
didn't straight-up
967
00:39:11,219 --> 00:39:16,079
ask how much money do you make in a year
968
00:39:14,429 --> 00:39:17,849
and that in itself I think in Mexico is
969
00:39:16,079 --> 00:39:20,789
really complicated because the way that
970
00:39:17,849 --> 00:39:22,349
income works the informal economy is so
971
00:39:20,789 --> 00:39:24,929
strong even if you do have a formal
972
00:39:22,349 --> 00:39:27,449
position a lot of people have side
973
00:39:24,929 --> 00:39:28,979
hustles and jobs and maybe someone lives
974
00:39:27,449 --> 00:39:31,589
in a parent's property that they own but
975
00:39:28,979 --> 00:39:33,029
they don't have any income right and so
976
00:39:31,589 --> 00:39:37,439
it's kind of difficult to measure
977
00:39:33,029 --> 00:39:40,650
resources in that way Jacob Thomas is
978
00:39:37,439 --> 00:39:42,239
asking since many survey participants or
979
00:39:40,650 --> 00:39:43,499
it's actually more of a common and
980
00:39:42,239 --> 00:39:45,329
suggestion since many survey
981
00:39:43,499 --> 00:39:48,839
participants mentioned economic
982
00:39:45,329 --> 00:39:50,609
precarity and unemployment as a source
983
00:39:48,839 --> 00:39:52,069
of stress I think you may want to
984
00:39:50,609 --> 00:39:54,380
interact it
985
00:39:52,069 --> 00:39:57,079
both relational data on who they are
986
00:39:54,380 --> 00:40:01,099
most physically proximal to or living
987
00:39:57,079 --> 00:40:03,469
with one hypothesis is that a fall in
988
00:40:01,099 --> 00:40:05,150
financial independence may be moderating
989
00:40:03,469 --> 00:40:07,420
the relationship between familial
990
00:40:05,150 --> 00:40:10,069
relations and emotional well-being
991
00:40:07,420 --> 00:40:12,709
particularly for those that have had to
992
00:40:10,069 --> 00:40:16,690
move in backward parents that are
993
00:40:12,709 --> 00:40:20,660
heteronormative or utterly intolerant to
994
00:40:16,690 --> 00:40:21,440
LGBTQIA lifestyles Thank You Jacob for
995
00:40:20,660 --> 00:40:22,699
that suggestion
996
00:40:21,440 --> 00:40:25,039
I guess I'll mention here that we
997
00:40:22,699 --> 00:40:26,930
actually did ask respondents if the
998
00:40:25,039 --> 00:40:29,059
people that they were living with in
999
00:40:26,930 --> 00:40:30,319
their housing situations knew about
1000
00:40:29,059 --> 00:40:31,099
their gender identity and sexual
1001
00:40:30,319 --> 00:40:33,019
orientation
1002
00:40:31,099 --> 00:40:34,910
right so most people were out then we
1003
00:40:33,019 --> 00:40:37,039
asked what the reaction to that was if
1004
00:40:34,910 --> 00:40:39,589
it was rejection indifference if it was
1005
00:40:37,039 --> 00:40:42,229
acceptance and most of it was either
1006
00:40:39,589 --> 00:40:43,819
acceptance or indifference and so there
1007
00:40:42,229 --> 00:40:46,130
is definitely some respondents who are
1008
00:40:43,819 --> 00:40:48,109
living in a housing situation that is
1009
00:40:46,130 --> 00:40:49,759
not ideal and it's violent for them at
1010
00:40:48,109 --> 00:40:52,609
least in terms of this particular sample
1011
00:40:49,759 --> 00:40:54,709
it seems like most people are in housing
1012
00:40:52,609 --> 00:40:56,299
situations with people who are I mean I
1013
00:40:54,709 --> 00:41:00,589
guess mostly fine right not outright
1014
00:40:56,299 --> 00:41:03,589
hostile thank you we have a comment from
1015
00:41:00,589 --> 00:41:05,449
Rafael Solis in Chicago mine is a
1016
00:41:03,589 --> 00:41:07,880
commentary not a question it was
1017
00:41:05,449 --> 00:41:09,650
interesting to me how people work were
1018
00:41:07,880 --> 00:41:12,440
identifying as Latino quote unquote
1019
00:41:09,650 --> 00:41:15,140
right I have not lived in Mexico for 24
1020
00:41:12,440 --> 00:41:17,989
years but it sounds to me strange as a
1021
00:41:15,140 --> 00:41:19,910
new way of defining ourselves something
1022
00:41:17,989 --> 00:41:22,160
I had noticed in the past few years is
1023
00:41:19,910 --> 00:41:25,099
the popularity of the so called hook-up
1024
00:41:22,160 --> 00:41:27,349
applications in Mexico in those the
1025
00:41:25,099 --> 00:41:29,989
options to identify one's race are the
1026
00:41:27,349 --> 00:41:31,699
ones available here in the USA they are
1027
00:41:29,989 --> 00:41:34,009
not customized for other countries I've
1028
00:41:31,699 --> 00:41:36,559
always found interesting that Mexican
1029
00:41:34,009 --> 00:41:39,410
gay men chose to define themselves as
1030
00:41:36,559 --> 00:41:42,460
Latinos in these apps most times it is
1031
00:41:39,410 --> 00:41:45,010
optional to hide and identify your race
1032
00:41:42,460 --> 00:41:46,300
I mean yes it is really interesting I
1033
00:41:45,010 --> 00:41:48,910
mean that's why we put that question on
1034
00:41:46,300 --> 00:41:51,670
there and I have to wonder whether or
1035
00:41:48,910 --> 00:41:53,890
not it was because they knew that we
1036
00:41:51,670 --> 00:41:57,190
were US researchers asking this question
1037
00:41:53,890 --> 00:41:59,200
or if it has to do with terminology and
1038
00:41:57,190 --> 00:42:00,970
language molding something that we
1039
00:41:59,200 --> 00:42:02,830
didn't get into in this survey but I
1040
00:42:00,970 --> 00:42:05,140
hope to talk more about in future work
1041
00:42:02,830 --> 00:42:07,930
is how language has been shifting and
1042
00:42:05,140 --> 00:42:10,450
evolving in the lgbtq+ community here in
1043
00:42:07,930 --> 00:42:12,220
Mexico City in terms of using the X for
1044
00:42:10,450 --> 00:42:14,680
gender neutral some people using the e
1045
00:42:12,220 --> 00:42:16,960
and and really taking on words like
1046
00:42:14,680 --> 00:42:19,480
non-binary and genderqueer which I would
1047
00:42:16,960 --> 00:42:21,839
not expect right in this kind of context
1048
00:42:19,480 --> 00:42:24,400
or other types of terms like here that
1049
00:42:21,839 --> 00:42:26,140
really don't translate very well but
1050
00:42:24,400 --> 00:42:27,099
some people are taking it up I think
1051
00:42:26,140 --> 00:42:29,890
that has a lot to do with just
1052
00:42:27,099 --> 00:42:31,690
transnational transnational networks you
1053
00:42:29,890 --> 00:42:36,400
know education who you're connecting
1054
00:42:31,690 --> 00:42:38,140
with and everything so I I agree that it
1055
00:42:36,400 --> 00:42:40,140
was interesting it was strange for me
1056
00:42:38,140 --> 00:42:42,880
and you know would have been great to
1057
00:42:40,140 --> 00:42:45,270
disentangle that a little bit more but
1058
00:42:42,880 --> 00:42:48,280
in general I'm seeing interesting
1059
00:42:45,270 --> 00:42:51,190
movements and shifts with language more
1060
00:42:48,280 --> 00:42:54,040
broadly with sexually diverse and gender
1061
00:42:51,190 --> 00:42:59,050
diverse populations in may Thank You
1062
00:42:54,040 --> 00:43:01,030
Oscar Contreras is as is commenting and
1063
00:42:59,050 --> 00:43:02,800
asking some sources point out that
1064
00:43:01,030 --> 00:43:05,830
domestic violence has raised in
1065
00:43:02,800 --> 00:43:08,140
households in Mexico during these Kovach
1066
00:43:05,830 --> 00:43:10,839
times do you find similar situations in
1067
00:43:08,140 --> 00:43:12,700
your study so we didn't ask a question
1068
00:43:10,839 --> 00:43:15,190
that specifically asked about domestic
1069
00:43:12,700 --> 00:43:16,869
violence I mean we had instances where
1070
00:43:15,190 --> 00:43:18,910
you know we could talk about whether or
1071
00:43:16,869 --> 00:43:21,250
not they felt safe so towards the end of
1072
00:43:18,910 --> 00:43:22,510
the survey we asked them where if you
1073
00:43:21,250 --> 00:43:24,760
were taking the survey in a safe
1074
00:43:22,510 --> 00:43:27,490
location and private in public or among
1075
00:43:24,760 --> 00:43:29,290
people that you had trust with we also
1076
00:43:27,490 --> 00:43:31,060
had an open-ended question where people
1077
00:43:29,290 --> 00:43:32,530
could leave commentary which was gonna
1078
00:43:31,060 --> 00:43:33,760
be fascinating for the qualitative
1079
00:43:32,530 --> 00:43:35,790
analysis because we have a lot of
1080
00:43:33,760 --> 00:43:39,220
commentary about the political social
1081
00:43:35,790 --> 00:43:41,410
inequalities and you know how disasters
1082
00:43:39,220 --> 00:43:44,320
just make that more clear and I think
1083
00:43:41,410 --> 00:43:47,440
I'm gonna have a lot of fun sort of
1084
00:43:44,320 --> 00:43:49,210
working with that but nowhere and in the
1085
00:43:47,440 --> 00:43:51,520
places where someone could have made a
1086
00:43:49,210 --> 00:43:53,410
comment about it did I see that I think
1087
00:43:51,520 --> 00:43:55,359
there was like maybe one person who
1088
00:43:53,410 --> 00:43:56,330
mentioned something about violence maybe
1089
00:43:55,359 --> 00:43:58,340
there was too
1090
00:43:56,330 --> 00:44:01,940
but it wasn't very prevalent again
1091
00:43:58,340 --> 00:44:04,430
however I should say I mean the over.we
1092
00:44:01,940 --> 00:44:06,710
oversample right men in this in the
1093
00:44:04,430 --> 00:44:08,480
situation right and so you know there
1094
00:44:06,710 --> 00:44:11,930
are other surveys for example I know the
1095
00:44:08,480 --> 00:44:14,450
that unum put something out specifically
1096
00:44:11,930 --> 00:44:16,520
for women and I know that in that
1097
00:44:14,450 --> 00:44:18,380
question there was maybe something
1098
00:44:16,520 --> 00:44:19,610
asking about sexual orientation and of
1099
00:44:18,380 --> 00:44:21,740
course when they come out with those
1100
00:44:19,610 --> 00:44:26,000
results which I hope to also be able to
1101
00:44:21,740 --> 00:44:27,140
I guess consult when as moving as I'm
1102
00:44:26,000 --> 00:44:28,700
moving forward with writing and
1103
00:44:27,140 --> 00:44:30,830
everything that they'll probably have
1104
00:44:28,700 --> 00:44:32,780
like a better look at that right and and
1105
00:44:30,830 --> 00:44:35,870
and hopefully if they're asking about
1106
00:44:32,780 --> 00:44:37,850
bisexuality or asking if respondents
1107
00:44:35,870 --> 00:44:40,940
identify as lesbian hopefully we'll be
1108
00:44:37,850 --> 00:44:44,840
able to get more sort of information
1109
00:44:40,940 --> 00:44:47,810
from from that effort excellent and the
1110
00:44:44,840 --> 00:44:49,910
rare Rocha is in San Diego is asking
1111
00:44:47,810 --> 00:44:52,100
what was the incentive for people taking
1112
00:44:49,910 --> 00:44:53,870
the survey and how will results be
1113
00:44:52,100 --> 00:44:58,400
returned to participants of the survey
1114
00:44:53,870 --> 00:44:59,690
right so in the consent page right so
1115
00:44:58,400 --> 00:45:02,990
the first thing that came before you
1116
00:44:59,690 --> 00:45:05,720
entered it we said that this was all in
1117
00:45:02,990 --> 00:45:10,100
Terry it was gonna be for research
1118
00:45:05,720 --> 00:45:14,360
purposes we also did say that for every
1119
00:45:10,100 --> 00:45:17,480
survey that was completed right CNS or
1120
00:45:14,360 --> 00:45:20,140
sample completed we were going to commit
1121
00:45:17,480 --> 00:45:22,820
my partner and I to donating a dollar
1122
00:45:20,140 --> 00:45:24,370
which we did actually we ended up
1123
00:45:22,820 --> 00:45:27,110
donating three hundred dollars
1124
00:45:24,370 --> 00:45:29,990
particularly to Casa de las Nieves which
1125
00:45:27,110 --> 00:45:32,870
was a trans-pacific organization here in
1126
00:45:29,990 --> 00:45:34,580
CDM X that is housing trans women most
1127
00:45:32,870 --> 00:45:37,160
of whom are sex workers and also going
1128
00:45:34,580 --> 00:45:38,570
out into the streets and feeding them so
1129
00:45:37,160 --> 00:45:40,550
you know I mean there wasn't a direct
1130
00:45:38,570 --> 00:45:42,800
benefit but there was a social incentive
1131
00:45:40,550 --> 00:45:46,010
and there are a couple people who are on
1132
00:45:42,800 --> 00:45:47,720
this call who are related to these sorts
1133
00:45:46,010 --> 00:45:50,900
of organizations I hope to present these
1134
00:45:47,720 --> 00:45:53,600
results actually in Spanish right to
1135
00:45:50,900 --> 00:45:55,070
different in within different groups in
1136
00:45:53,600 --> 00:45:58,580
Mexico City who would benefit from
1137
00:45:55,070 --> 00:46:00,500
knowing about it right and I'm open and
1138
00:45:58,580 --> 00:46:02,300
in communication with other folks who
1139
00:46:00,500 --> 00:46:04,010
are trying to think about these results
1140
00:46:02,300 --> 00:46:07,370
in a more sort of policy oriented way
1141
00:46:04,010 --> 00:46:08,650
for example I know that Musa has been in
1142
00:46:07,370 --> 00:46:11,380
communication
1143
00:46:08,650 --> 00:46:13,450
with a government body here in Mexico
1144
00:46:11,380 --> 00:46:15,970
City to see if we can actually expand
1145
00:46:13,450 --> 00:46:17,650
this survey on a national scale I have
1146
00:46:15,970 --> 00:46:20,350
no idea if it'll happen that would be
1147
00:46:17,650 --> 00:46:22,540
super cool if it did so that then we can
1148
00:46:20,350 --> 00:46:24,310
address needs more I mean we can address
1149
00:46:22,540 --> 00:46:27,070
needs better in that kind of way right
1150
00:46:24,310 --> 00:46:28,720
but um so of course I'm looking for ways
1151
00:46:27,070 --> 00:46:31,210
to put this out there to be in
1152
00:46:28,720 --> 00:46:33,220
communication with folks like I said we
1153
00:46:31,210 --> 00:46:36,490
did put our money where our mouth was
1154
00:46:33,220 --> 00:46:40,360
and I hope that I can be part of other
1155
00:46:36,490 --> 00:46:42,370
efforts local efforts to expand these
1156
00:46:40,360 --> 00:46:44,500
survey efforts and to really capture
1157
00:46:42,370 --> 00:46:45,850
what's going on for the the larger
1158
00:46:44,500 --> 00:46:50,170
sexually diverse and gender diverse
1159
00:46:45,850 --> 00:46:52,690
community thank you thank you Christina
1160
00:46:50,170 --> 00:46:56,500
I don't see any more questions in our
1161
00:46:52,690 --> 00:46:59,470
Q&A feed right now but I continue to
1162
00:46:56,500 --> 00:47:03,760
encourage our audience to post questions
1163
00:46:59,470 --> 00:47:05,800
or comments to to Christina there's
1164
00:47:03,760 --> 00:47:09,490
maybe another one hold on one second yes
1165
00:47:05,800 --> 00:47:11,140
Jacob Thomas again is asking or
1166
00:47:09,490 --> 00:47:13,240
commenting I think you could also take
1167
00:47:11,140 --> 00:47:15,910
more qualitative data about how diet
1168
00:47:13,240 --> 00:47:18,550
exercise in health and self-care
1169
00:47:15,910 --> 00:47:22,690
has dropped all for trans participants
1170
00:47:18,550 --> 00:47:25,030
after Cobain since you you would expect
1171
00:47:22,690 --> 00:47:27,520
a priority the correlations between the
1172
00:47:25,030 --> 00:47:30,250
pre and post para burials to be closer
1173
00:47:27,520 --> 00:47:34,770
near to one I also wonder if you would
1174
00:47:30,250 --> 00:47:39,640
be able to did use what is different
1175
00:47:34,770 --> 00:47:41,860
about LGBTQIA experience with Kovac
1176
00:47:39,640 --> 00:47:44,380
compared to Mexicans by appending your
1177
00:47:41,860 --> 00:47:46,960
data to reliable general surveys of
1178
00:47:44,380 --> 00:47:50,650
general Mexicans responses to how they
1179
00:47:46,960 --> 00:47:53,020
adapted to covered yes so this goes to
1180
00:47:50,650 --> 00:47:55,810
the whole issue of comparing of course
1181
00:47:53,020 --> 00:47:59,720
you know responses of this population to
1182
00:47:55,810 --> 00:48:02,060
other populations in in Mexico of course
1183
00:47:59,720 --> 00:48:03,710
all right Thank You Jacob that really
1184
00:48:02,060 --> 00:48:06,410
just depends on what I have access to
1185
00:48:03,710 --> 00:48:09,079
like I said my eyes are open in terms of
1186
00:48:06,410 --> 00:48:10,400
the coded survey that was put out by the
1187
00:48:09,079 --> 00:48:13,780
cola he let us know that uh North Bay
1188
00:48:10,400 --> 00:48:15,619
right that was more general I mean the
1189
00:48:13,780 --> 00:48:18,170
institution in Mexico City
1190
00:48:15,619 --> 00:48:20,900
Unum who put a women's specific one
1191
00:48:18,170 --> 00:48:23,290
national survey and so really I'm gonna
1192
00:48:20,900 --> 00:48:25,730
be keeping my eyes open I also have
1193
00:48:23,290 --> 00:48:26,810
results from the survey that mousses
1194
00:48:25,730 --> 00:48:30,500
played out right the needs assessment
1195
00:48:26,810 --> 00:48:32,270
and they had a similar sample size to
1196
00:48:30,500 --> 00:48:34,390
ours right and so I think it pairs
1197
00:48:32,270 --> 00:48:36,140
nicely in terms of ours was more
1198
00:48:34,390 --> 00:48:38,569
representative of men there's a more
1199
00:48:36,140 --> 00:48:40,099
representative of women and so yeah
1200
00:48:38,569 --> 00:48:42,200
moving forward I'll keep my eyes open to
1201
00:48:40,099 --> 00:48:44,839
see how I can compare this moving
1202
00:48:42,200 --> 00:48:47,780
forward but it also just really depends
1203
00:48:44,839 --> 00:48:49,640
on how much information right these
1204
00:48:47,780 --> 00:48:51,380
these bodies these research bodies want
1205
00:48:49,640 --> 00:48:53,089
to share with me right I can have access
1206
00:48:51,380 --> 00:48:55,880
to a paper or record what are they gonna
1207
00:48:53,089 --> 00:48:59,420
give me you know raw data it really just
1208
00:48:55,880 --> 00:49:02,720
depends thank you thank you Christina
1209
00:48:59,420 --> 00:49:05,030
so I I actually let me use my my
1210
00:49:02,720 --> 00:49:07,040
prerogative as a moderator also to ask a
1211
00:49:05,030 --> 00:49:09,170
question what are you and this is
1212
00:49:07,040 --> 00:49:11,750
related to the survey but not not
1213
00:49:09,170 --> 00:49:16,190
directly what are you hearing in terms
1214
00:49:11,750 --> 00:49:20,150
of you know how people's behaviors or in
1215
00:49:16,190 --> 00:49:24,950
situations in general are changing as as
1216
00:49:20,150 --> 00:49:28,130
Mexico in Mexico City begin to reopen or
1217
00:49:24,950 --> 00:49:31,520
have started to reopen you know some you
1218
00:49:28,130 --> 00:49:35,180
know people are going back to work there
1219
00:49:31,520 --> 00:49:38,000
is you know reopening or discussion at
1220
00:49:35,180 --> 00:49:43,520
least about reopening of of certain
1221
00:49:38,000 --> 00:49:47,240
spaces for leisure for sociability but
1222
00:49:43,520 --> 00:49:49,400
at the same time you know a contagion as
1223
00:49:47,240 --> 00:49:52,160
well as death rates continue to be very
1224
00:49:49,400 --> 00:49:55,280
high we know that Mexico City is
1225
00:49:52,160 --> 00:49:58,220
essentially the epicenter of the copy 19
1226
00:49:55,280 --> 00:50:00,950
pandemic in Mexico so what do you hear
1227
00:49:58,220 --> 00:50:05,560
in relations to how things how people
1228
00:50:00,950 --> 00:50:09,710
are sort of navigating this this trans
1229
00:50:05,560 --> 00:50:12,150
transition or semi transition to to to
1230
00:50:09,710 --> 00:50:14,190
to some
1231
00:50:12,150 --> 00:50:17,010
aspect or normality or Nueva normally
1232
00:50:14,190 --> 00:50:21,720
dad as they call it in Mexico see
1233
00:50:17,010 --> 00:50:23,880
actually I have been I would say a part
1234
00:50:21,720 --> 00:50:25,200
of different conversations right within
1235
00:50:23,880 --> 00:50:26,849
the community within different
1236
00:50:25,200 --> 00:50:28,950
organizations that are specifically
1237
00:50:26,849 --> 00:50:30,809
talking about the new normal right and
1238
00:50:28,950 --> 00:50:33,359
it really just depends on what what
1239
00:50:30,809 --> 00:50:35,640
you're asking about so I'll give a
1240
00:50:33,359 --> 00:50:37,260
couple of reflections on a couple of
1241
00:50:35,640 --> 00:50:39,329
things that are I think sexual
1242
00:50:37,260 --> 00:50:42,960
orientation and gender identity specific
1243
00:50:39,329 --> 00:50:45,359
so you know pride from Mexico this year
1244
00:50:42,960 --> 00:50:48,029
right the parade the events were done
1245
00:50:45,359 --> 00:50:50,010
virtually and apparently it was like the
1246
00:50:48,029 --> 00:50:51,779
largest virtual pride events that were
1247
00:50:50,010 --> 00:50:54,240
done where that weekend but there were
1248
00:50:51,779 --> 00:50:54,869
still some folks who went out protests
1249
00:50:54,240 --> 00:50:57,599
on the street
1250
00:50:54,869 --> 00:50:59,849
specifically because they were concerned
1251
00:50:57,599 --> 00:51:01,529
about violence issues they were
1252
00:50:59,849 --> 00:51:03,900
concerned about discrimination health
1253
00:51:01,529 --> 00:51:05,970
access right you know none of these
1254
00:51:03,900 --> 00:51:07,890
things sleep just because we're at home
1255
00:51:05,970 --> 00:51:10,109
right and and Mexico has been having
1256
00:51:07,890 --> 00:51:11,940
quite a few issues with domestic
1257
00:51:10,109 --> 00:51:14,670
violence and other sorts of things and
1258
00:51:11,940 --> 00:51:16,799
so but they're only around 200 people
1259
00:51:14,670 --> 00:51:20,730
who went out to the streets to do that
1260
00:51:16,799 --> 00:51:22,799
and so what that tells me is that a lot
1261
00:51:20,730 --> 00:51:25,140
of folks are still staying in because
1262
00:51:22,799 --> 00:51:27,089
actually Mexico City began opening
1263
00:51:25,140 --> 00:51:29,220
little by little first of all they never
1264
00:51:27,089 --> 00:51:31,079
really fully closed I can tell you that
1265
00:51:29,220 --> 00:51:32,670
but then they really started opening
1266
00:51:31,079 --> 00:51:34,619
more toward the beginning of you and
1267
00:51:32,670 --> 00:51:36,900
then by the end of June you still didn't
1268
00:51:34,619 --> 00:51:39,359
have enough bhai in from the community
1269
00:51:36,900 --> 00:51:41,880
right to actually be put their bodies on
1270
00:51:39,359 --> 00:51:44,190
the streets right in one of the largest
1271
00:51:41,880 --> 00:51:45,750
prize right in the world right and so
1272
00:51:44,190 --> 00:51:47,369
that's happening um there have been
1273
00:51:45,750 --> 00:51:50,220
different conversations about intimacy
1274
00:51:47,369 --> 00:51:52,440
also specifically are you gonna have sex
1275
00:51:50,220 --> 00:51:55,049
during this and some folks are saying
1276
00:51:52,440 --> 00:51:56,339
well you're not I mean you're you're
1277
00:51:55,049 --> 00:51:57,720
gonna do it with the person who's at
1278
00:51:56,339 --> 00:51:59,640
your house but you can't go out and
1279
00:51:57,720 --> 00:52:01,470
cruise anymore other folks are gonna say
1280
00:51:59,640 --> 00:52:03,000
that's not realistic that's not going to
1281
00:52:01,470 --> 00:52:06,029
happen what are we going to do
1282
00:52:03,000 --> 00:52:08,430
I know specifically that there are folks
1283
00:52:06,029 --> 00:52:09,750
in the community who are just not going
1284
00:52:08,430 --> 00:52:11,309
to leave they're just not leaving
1285
00:52:09,750 --> 00:52:13,470
they're there you know posting
1286
00:52:11,309 --> 00:52:15,450
commentary or memes about how folks are
1287
00:52:13,470 --> 00:52:17,339
finally ready to party or do this and
1288
00:52:15,450 --> 00:52:19,500
they're just like nope goodbye I'm here
1289
00:52:17,339 --> 00:52:21,000
I'm staying in here and of course this
1290
00:52:19,500 --> 00:52:23,910
would have something to do especially
1291
00:52:21,000 --> 00:52:25,319
with this particular sample of high
1292
00:52:23,910 --> 00:52:27,930
prevalence of
1293
00:52:25,319 --> 00:52:32,479
conditions right I mean they're they're
1294
00:52:27,930 --> 00:52:35,309
not going to I mean you know Mexico City
1295
00:52:32,479 --> 00:52:37,140
medical personnel has also been
1296
00:52:35,309 --> 00:52:39,119
protesting I've witnessed a couple of
1297
00:52:37,140 --> 00:52:40,829
those because they don't have the right
1298
00:52:39,119 --> 00:52:43,799
type of gear to actually be handling
1299
00:52:40,829 --> 00:52:47,099
people I should note that a majority of
1300
00:52:43,799 --> 00:52:49,349
my sample noted that where they usually
1301
00:52:47,099 --> 00:52:51,630
get medical care is actually from the
1302
00:52:49,349 --> 00:52:54,449
pharmacies right and the private consult
1303
00:52:51,630 --> 00:52:56,519
raised there and so you know what are
1304
00:52:54,449 --> 00:52:58,440
they gonna go do at a hospital I mean if
1305
00:52:56,519 --> 00:53:01,259
there's just so many things to keep in
1306
00:52:58,440 --> 00:53:03,900
mind in here and also as far as I know
1307
00:53:01,259 --> 00:53:06,059
the bars the social spaces are gonna be
1308
00:53:03,900 --> 00:53:07,920
the last things to open I mean maybe it
1309
00:53:06,059 --> 00:53:11,400
won't happen that way but as far as I
1310
00:53:07,920 --> 00:53:14,459
know those spaces won't be opening until
1311
00:53:11,400 --> 00:53:16,829
much later but I also think that it's
1312
00:53:14,459 --> 00:53:18,239
hard to predict because you know the
1313
00:53:16,829 --> 00:53:21,420
Mexican government especially with
1314
00:53:18,239 --> 00:53:23,789
Mexico City is has been very I don't
1315
00:53:21,420 --> 00:53:25,410
know somewhat nonchalant about certain
1316
00:53:23,789 --> 00:53:26,670
kinds of measures and sometimes they'll
1317
00:53:25,410 --> 00:53:28,079
do something and then they'll take a few
1318
00:53:26,670 --> 00:53:30,719
steps backs and they'll say just kidding
1319
00:53:28,079 --> 00:53:33,029
so it's really hard for me to predict
1320
00:53:30,719 --> 00:53:34,309
what's gonna happen I think that what
1321
00:53:33,029 --> 00:53:36,630
I've been hearing from a lot of
1322
00:53:34,309 --> 00:53:39,630
conversation is that these virtual
1323
00:53:36,630 --> 00:53:40,890
spaces will continue right and a lot of
1324
00:53:39,630 --> 00:53:44,190
these organizations are going to
1325
00:53:40,890 --> 00:53:48,449
continue to adapt to do virtual outreach
1326
00:53:44,190 --> 00:53:50,160
to do virtual workshops you know I I
1327
00:53:48,449 --> 00:53:53,789
know different organizations that are
1328
00:53:50,160 --> 00:53:57,959
very presents based right that have
1329
00:53:53,789 --> 00:53:59,699
decided to move all of their you know
1330
00:53:57,959 --> 00:54:01,920
thigh yet is their workshops and their
1331
00:53:59,699 --> 00:54:03,809
their conversations to an online format
1332
00:54:01,920 --> 00:54:08,489
but it seems like there's gonna be a lot
1333
00:54:03,809 --> 00:54:09,719
of hybrid hybrid spaces right but yeah I
1334
00:54:08,489 --> 00:54:11,940
mean I don't I don't know it's gonna
1335
00:54:09,719 --> 00:54:13,440
it's gonna be rough I'll see what I
1336
00:54:11,940 --> 00:54:15,949
returned to for my in-person
1337
00:54:13,440 --> 00:54:17,569
observations and where I can make them
1338
00:54:15,949 --> 00:54:20,369
of course
1339
00:54:17,569 --> 00:54:27,209
well we're we don't have any more
1340
00:54:20,369 --> 00:54:28,890
questions in our Q & A field here so and
1341
00:54:27,209 --> 00:54:31,739
we're closed to action to the end of our
1342
00:54:28,890 --> 00:54:34,489
a lot of time so I want to take this
1343
00:54:31,739 --> 00:54:37,820
opportunity to thank you Christina for
1344
00:54:34,489 --> 00:54:41,540
for participating in
1345
00:54:37,820 --> 00:54:44,540
our speaker series and in wish you the
1346
00:54:41,540 --> 00:54:49,000
best of luck I mean with with the
1347
00:54:44,540 --> 00:54:51,800
project and in in to extend the
1348
00:54:49,000 --> 00:54:53,930
invitation an open invitation for you to
1349
00:54:51,800 --> 00:54:56,750
come back to the events of the center to
1350
00:54:53,930 --> 00:55:01,160
present more of the results of this very
1351
00:54:56,750 --> 00:55:03,890
interesting survey I want to thank Brian
1352
00:55:01,160 --> 00:55:06,560
Pitz was the assistant director of the
1353
00:55:03,890 --> 00:55:10,670
UCLA Latin American Latin American
1354
00:55:06,560 --> 00:55:14,080
Institute who has been cross played a
1355
00:55:10,670 --> 00:55:17,770
key role in organizing a lot of our
1356
00:55:14,080 --> 00:55:22,730
virtual events since the onset of
1357
00:55:17,770 --> 00:55:24,560
pandemic and we are going to be posting
1358
00:55:22,730 --> 00:55:29,000
some of these events for now but we'll
1359
00:55:24,560 --> 00:55:32,720
come back soon stay tuned and I wish
1360
00:55:29,000 --> 00:55:36,650
everybody a happy summer and above all
1361
00:55:32,720 --> 00:55:39,520
for all of you to stay safe and healthy
1362
00:55:36,650 --> 00:55:39,520
thank you everybody
