Gay App Use, Sexuality Traits, and High-Risk Sexual Behaviors Among Men Who Have Sex With Men in China: Mediation Analysis.

Background: Gay geosocial networking apps, also known as "gay apps," have gained increasing popularity in the men who have sex with men (MSM) community. Certain sexuality traits and gay app use are both associated with high-risk sexual behaviors among MSM. However, little is known about the underlying mechanism of such relationships.

Prevalence and Disparities in the Detection of Autism Without Intellectual Disability.

Background: Intellectual ability predicts functional outcomes for children with autism spectrum disorder (ASD). It is essential to classify ASD children with and without intellectual disability (ID) to aid etiological research, provide services, and inform evidence-based educational and health planning.

Methods: Using a cross-sectional study design, data from 2000 to 2016 active ASD surveillance among 8-year-olds residing in the New York-New Jersey Metropolitan Area were analyzed to determine ASD prevalence with and without ID.

Disparities in Early Intervention Program Participation by Children With Autism Spectrum Disorder in a US Metropolitan Area, 2006 to 2016.

Importance: Multiple studies have shown the value of early interventions for autism spectrum disorder (ASD). In the US, the Early Intervention Program (EIP) is mandated by law (Part C of the Individuals With Disabilities Education Act [IDEA]) to provide services to all young children with delays or disabilities. However, the extent to which children with ASD participate in this key service system is unknown.

Fairness in Mobile Phone-Based Mental Health Assessment Algorithms: Exploratory Study.

Background: Approximately 1 in 5 American adults experience mental illness every year. Thus, mobile phone-based mental health prediction apps that use phone data and artificial intelligence techniques for mental health assessment have become increasingly important and are being rapidly developed. At the same time, multiple artificial intelligence-related technologies (eg, face recognition and search results) have recently been reported to be biased regarding age, gender, and race.

Prevalence of autism spectrum disorder in a large, diverse metropolitan area: Variation by sociodemographic factors.

Autism spectrum disorder (ASD) prevalence estimates have varied by region. In this study, ASD prevalence, based on active case finding from multiple sources, was determined at the county and school district levels in the New Jersey metropolitan area. Among children born in 2008, residing in a four-county area and enrolled in public school in 2016, ASD prevalence was estimated to be 36 per 1000, but was significantly higher in one region-54 per 1000 and greater than 70 per 1000, in multiple school districts.

The Relationships of Deteriorating Depression and Anxiety With Longitudinal Behavioral Changes in Google and YouTube Use During COVID-19: Observational Study.

Background: Depression and anxiety disorders among the global population have worsened during the COVID-19 pandemic. Yet, current methods for screening these two issues rely on in-person interviews, which can be expensive, time-consuming, and blocked by social stigma and quarantines. Meanwhile, how individuals engage with online platforms such as Google Search and YouTube has undergone drastic shifts due to COVID-19 and subsequent lockdowns.

The Disparities in Mental Health between Gay and Bisexual Men Following Positive HIV Diagnosis in China: A One-Year Follow-Up Study.

This study aimed to determine the change in mental health (depression and anxiety) among HIV-positive gay and bisexual men (GBM) one year after diagnosis and the disparities in trajectories of mental health between them. The potential factors contributing to the disparities were also investigated. This was a one-year follow-up study focusing on the mental health of newly diagnosed HIV-positive individuals.

Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study.

Background: Postpartum depression (PPD) is a serious public health problem. Building a predictive model for PPD using data during pregnancy can facilitate earlier identification and intervention.

Objective: The aims of this study are to compare the effects of four different machine learning models using data during pregnancy to predict PPD and explore which factors in the model are the most important for PPD prediction.

Suboptimal Recent and Regular HIV Testing Among Black Men Who Have Sex With Men in the United States: Implications From a Meta-Analysis.

Background: The continuum of HIV care among black men who have sex with men (BMSM) continues to be the least favorable in the United States. BMSM are disproportionally HIV-infected-but-unaware, despite expanded HIV testing efforts among this subgroup.

Methods: We meta-analytically analyzed various HIV testing patterns [lifetime, after 24 months, after 12 months, after 6 months, and frequent (every 3-6 months) testing] among BMSM using the PRISMA guideline.

Attitude towards Mental Illness among Primary Healthcare Providers: A Community-Based Study in Rural China.

Objective: There are no studies that have explored attitudes towards mental illness that are held by rural primary healthcare (PHC) providers. The aim of this study was to conduct evidential and comparative research about attitudes towards mental illness among primary healthcare providers from different mental health service models in China rural communities.

Methods: A self-administered questionnaire was conducted with a total of 361 rural primary healthcare providers engaged in mental health service delivery.

The Mental Health of People Living with HIV in China, 1998-2014: A Systematic Review.

Background: Understanding the mental health burdens faced by people living with HIV in China is instrumental in the development of successful targeted programs for psychological support and care.

Methods: Using multiple Chinese and English literature databases, we conducted a systematic review of observational research (cross-sectional, case-control, or cohort) published between 1998 and 2014 on the mental health of people living with HIV in China.

Results: We identified a total of 94 eligible articles.

Are Informing Knowledge and Supportive Attitude Enough for Tobacco Control? A Latent Class Analysis of Cigarette Smoking Patterns among Medical Teachers in China.

Background: This study is one part of a five-year tobacco-control project in China, which aimed to gain insight into the smoking behavior, knowledge, and attitudes among medical teachers in China.

Methods: In May 2010, a cross-sectional survey was conducted among medical teachers of Xiangya Medical School, Central South University, China.

Results: A total number of 682 medical teachers completed the surveys.

Health inequalities among sexual minority adults: evidence from ten U.S. states, 2010.

Background: Improving the health of lesbian, gay, and bisexual (LGB) individuals is a Healthy People 2020 goal; however, the IOM highlighted the paucity of information currently available about LGB populations.

Purpose: To compare health indicators by gender and sexual orientation statuses.

Methods: Data are from Behavioral Risk Factor Surveillance System surveys conducted January-December of 2010 with population-based samples of non-institutionalized U.

Social Structure and Depression in TrevorSpace.

We discover patterns related to depression in the social graph of an online community of approximately 20,000 lesbian, gay, and bisexual, transgender, and questioning youth. With survey data on fewer than two hundred community members and the network graph of the entire community (which is completely anonymous except for the survey responses), we detected statistically significant correlations between a number of graph properties and those TrevorSpace users showing a higher likelihood of depression, according to the Patient Healthcare Questionnaire-9, a standard instrument for estimating depression. Our results suggest that those who are less depressed are more deeply integrated into the social fabric of TrevorSpace than those who are more depressed.

Asthma disparities and within-group differences in a national, probability sample of same-sex partnered adults.

Objectives: We examined the prevalence and correlates of self-reported lifetime diagnosis of asthma and current asthma among same-sex and opposite-sex partnered adults.

Methods: Data were from the 2004 Behavioral Risk Factor Surveillance System, in which same-sex partnership was a response option to a family planning item in the core questionnaire. Self-reported lifetime diagnosis of asthma and current asthma were examined in logistic regression models adjusted for demographic characteristics and asthma-related confounding factors and stratified by both gender and same-sex partnership status.

Physical health indicators among lesbian, gay, and bisexual U.S. veterans.

Purpose: To provide information about lesbian, gay, and bisexual (LGB) veterans' health status, diagnoses, and health screening behaviors compared with heterosexual veterans.

Methods: Data are from 10 states' 2010 Behavioral Risk Factor Surveillance System surveys that contained sexual orientation data for veterans (n = 11,665). χ(2) tests and multiple logistic regression were used to examine outcomes among LGB and heterosexual veterans.