Using Google Trends to Inform the Population Size Estimation and Spatial Distribution of Gay, Bisexual, and Other Men Who Have Sex With Men: Proof-of-concept Study

Background:We must triangulate data sources to understand best the spatial distribution and population size of marginalized populations to empower public health leaders to address population-specific needs. Existing population size estimation techniques are difficult and limited. Objective:We sought to identify a passive surveillance strategy that utilizes internet and social media to enhance, validate, and triangulate population size estimates of gay, bisexual, and other men who have sex with men (gbMSM). Methods:We explored the Google Trends platform to approximate an estimate of the spatial heterogeneity of the population distribution of gbMSM. This was done by comparing the prevalence of the search term “gay porn” with that of the search term “porn.” Results:Our results suggested that most cities have a gbMSM population size between 2% and 4% of their total population, with large urban centers having higher estimates relative to rural or suburban areas. This represents nearly a double up of population size estimates compared to that found by other methods, which typically find that between 1% and 2% of the total population are gbMSM. We noted that our method was limited by unequal coverage in internet usage across Canada and differences in the frequency of porn use by gender and sexual orientation. Conclusions:We argue that Google Trends estimates may provide, for many public health planning purposes, adequate city-level estimates of gbMSM population size in regions with a high prevalence of internet access and for purposes in which a precise or narrow estimate of the population size is not required. Furthermore, the Google Trends platform does so in less than a minute at no cost, making it extremely timely and cost-effective relative to more precise (and complex) estimates. We also discuss future steps for further validation of this approach

Substance-specific readiness to change among sexual and gender minority men who use crystal methamphetamine

A patient-oriented approach to addressing high levels of polysubstance use among sexual and gender minority men (SGM) who use crystal methamphetamine (CM) requires an understanding of which drugs they would like to change their use of. We examined readiness to change for 24 separate substances. Participants were SGM, aged 18+, living with Canada, who used CM in the past six months that were recruited through advertisements on socio-sexual networking applications. Frequency of use and readiness to change were descriptively analyzed and associations between frequency of use and readiness to change were assessed. Only slightly more than half (53.1%) of CM-using SGM were ready now, soon, or in the future to change substance use. Participants were most ready to change their tobacco, methamphetamine, and barbiturate use. Greater frequency of use was associated with greater readiness to change for all drugs in which daily or almost daily use was common. SGM participants reported high levels of comfort being asked about their substance use from primary care, mental health, and queer-identified health professionals. Interventions addressing multiple and specific substances are needed in health care settings serving SGM who use CM. Screening, brief interventions, and referral to treatment (SBIRT) in these settings may help identify those ready to address their substance use. Harm reduction interventions should offer supports for those not wanting to change their substance use—which includes most SGM for most of the drugs they use

What is the empirical basis for converting banded ordinal data on numbers of sex partners among MSM into a continuous scale level variable? A secondary analysis of 13 surveys across 17 countries

BACKGROUND: To provide empirically based guidance for substituting partner number categories in large MSM surveys with mean numbers of sexual and condomless anal intercourse (CAI) partners in a secondary analysis of survey data. METHODS: We collated data on numbers of sexual and CAI partners reported in a continuous scale (write-in number) in thirteen MSM surveys on sexual health and behaviour across 17 countries. Pooled descriptive statistics for the number of sexual and CAI partners during the last twelve (N = 55,180) and 6 months (N = 31,759) were calculated for two sets of categories commonly used in reporting numbers of sexual partners in sexual behaviour surveys. RESULTS: The pooled mean number of partners in the previous 12 months for the total sample was 15.8 partners (SD = 36.6), while the median number of partners was 5 (IQR = 2-15). Means for number of partners in the previous 12 months for the first set of categories were: 16.4 for 11-20 partners (SD = 3.3); 27.8 for 21-30 (SD = 2.8); 38.6 for 31-40 (SD = 2.4); 49.6 for 41-50 (SD = 1.5); and 128.2 for 'more than 50' (SD = 98.1). Alternative upper cut-offs: 43.4 for 'more than 10' (SD = 57.7); 65.3 for 'more than 20' (SD = 70.3). Self-reported partner numbers for both time frames consistently exceeded 200 or 300. While there was substantial variation of overall means across surveys, the means for all chosen categories were very similar. Partner numbers above nine mainly clustered at multiples of tens, regardless of the selected time frame. The overall means for CAI partners were lower than those for sexual partners; however, such difference was completely absent from all categories beyond ten sexual and CAI partners. CONCLUSIONS: Clustering of reported partner numbers confirm common MSM sexual behaviour surveys' questionnaire piloting feedback indicating that responses to numbers of sexual partners beyond 10 are best guesses rather than precise counts, but large partner numbers above typical upper cut-offs are common

What is the empirical basis for converting banded ordinal data on numbers of sex partners among MSM into a continuous scale level variable? A secondary analysis of 13 surveys across 17 countries

BACKGROUND: To provide empirically based guidance for substituting partner number categories in large MSM surveys with mean numbers of sexual and condomless anal intercourse (CAI) partners in a secondary analysis of survey data. METHODS: We collated data on numbers of sexual and CAI partners reported in a continuous scale (write-in number) in thirteen MSM surveys on sexual health and behaviour across 17 countries. Pooled descriptive statistics for the number of sexual and CAI partners during the last twelve (N = 55,180) and 6 months (N = 31,759) were calculated for two sets of categories commonly used in reporting numbers of sexual partners in sexual behaviour surveys. RESULTS: The pooled mean number of partners in the previous 12 months for the total sample was 15.8 partners (SD = 36.6), while the median number of partners was 5 (IQR = 2-15). Means for number of partners in the previous 12 months for the first set of categories were: 16.4 for 11-20 partners (SD = 3.3); 27.8 for 21-30 (SD = 2.8); 38.6 for 31-40 (SD = 2.4); 49.6 for 41-50 (SD = 1.5); and 128.2 for 'more than 50' (SD = 98.1). Alternative upper cut-offs: 43.4 for 'more than 10' (SD = 57.7); 65.3 for 'more than 20' (SD = 70.3). Self-reported partner numbers for both time frames consistently exceeded 200 or 300. While there was substantial variation of overall means across surveys, the means for all chosen categories were very similar. Partner numbers above nine mainly clustered at multiples of tens, regardless of the selected time frame. The overall means for CAI partners were lower than those for sexual partners; however, such difference was completely absent from all categories beyond ten sexual and CAI partners. CONCLUSIONS: Clustering of reported partner numbers confirm common MSM sexual behaviour surveys' questionnaire piloting feedback indicating that responses to numbers of sexual partners beyond 10 are best guesses rather than precise counts, but large partner numbers above typical upper cut-offs are common

Experiences with Sexual Orientation and Gender Identity Conversion Therapy Practices among Sexual Minority Men in Canada, 2019–2020

Background “Conversion therapy” practices (CTP) are organized and sustained efforts to avoid the adoption of non-heterosexual sexual orientations and/or of gender identities not assigned at birth. Few data are available to inform the contemporary prevalence of CTP. The aim of this study is to quantify the prevalence of CTP among Canadian sexual and gender minority men, including details regarding the setting, age of initiation, and duration of CTP exposure. Methods Sexual and gender minority men, including transmen and non-binary individuals, aged ≥ 15, living in Canada were recruited via social media and networking applications and websites, November 2019—February 2020. Participants provided demographic data and detailed information about their experiences with CTP. Results 21% of respondents (N = 9,214) indicated that they or any person with authority (e.g., parent, caregiver) ever tried to change their sexual orientation or gender identity, and 10% had experienced CTP. CTP experience was highest among non-binary (20%) and transgender respondents (19%), those aged 15–19 years (13%), immigrants (15%), and racial/ethnic minorities (11–22%, with variability by identity). Among the n = 910 participants who experienced CTP, most experienced CTP in religious/faith-based settings (67%) or licensed healthcare provider offices (20%). 72% of those who experienced CTP first attended before the age of 20 years, 24% attended for one year or longer, and 31% attended more than five sessions. Interpretation CTP remains prevalent in Canada and is most prevalent among younger cohorts, transgender people, immigrants, and racial/ethnic minorities. Legislation, policy, and education are needed that target both religious and healthcare settings

Lifetime Doctor-Diagnosed Mental Health Conditions and Current Substance Use Among Gay and Bisexual Men Living in Vancouver, Canada

BackgroundStudies have found that gay, bisexual, and other men who have sex with men (GBM) have higher rates of mental health conditions and substance use than heterosexual men, but are limited by issues of representativeness.ObjectivesTo determine the prevalence and correlates of mental health disorders among GBM in Metro Vancouver, Canada.MethodsFrom 2012 to 2014, the Momentum Health Study recruited GBM (≥16 years) via respondent-driven sampling (RDS) to estimate population parameters. Computer-assisted self-interviews (CASI) collected demographic, psychosocial, and behavioral information, while nurse-administered structured interviews asked about mental health diagnoses and treatment. Multivariate logistic regression using manual backward selection was used to identify covariates for any lifetime doctor diagnosed: (1) alcohol/substance use disorder and (2) any other mental health disorder.ResultsOf 719 participants, 17.4% reported a substance use disorder and 35.2% reported any other mental health disorder; 24.0% of all GBM were currently receiving treatment. A lifetime substance use disorder diagnosis was negatively associated with being a student (AOR = 0.52, 95% CI [confidence interval]: 0.27-0.99) and an annual income ≥$30,000 CAD (AOR = 0.38, 95% CI: 0.21-0.67) and positively associated with HIV-positive serostatus (AOR = 2.54, 95% CI: 1.63-3.96), recent crystal methamphetamine use (AOR = 2.73, 95% CI: 1.69-4.40) and recent heroin use (AOR = 5.59, 95% CI: 2.39-13.12). Any other lifetime mental health disorder diagnosis was negatively associated with self-identifying as Latin American (AOR = 0.25, 95% CI: 0.08-0.81), being a refugee or visa holder (AOR = 0.18, 95% CI: 0.05-0.65), and living outside Vancouver (AOR = 0.52, 95% CI: 0.33-0.82), and positively associated with abnormal anxiety symptomology scores (AOR = 3.05, 95% CI: 2.06-4.51).ConclusionsMental health conditions and substance use, which have important implications for clinical and public health practice, were highly prevalent and co-occurring