HIV and syphilis are pronounced among men who have sex with men (MSM) in China and often occur as co-infections, while testing remains low. Few studies examine common predictors across these outcomes. This observational venue-based sample of 546 MSM in Shanghai, China used a common set of psychosocial predictors to construct logistic models for the outcomes (HIV non-testing, syphilis non-testing, HIV sero-status, and syphilis sero-status). Fifty-seven (10.7%) participants tested positive for HIV, 126 (23.5%) for syphilis, and 33% of HIV-positive participants had a co-infection. Non-sex working MSM had consistently higher odds of HIV and syphilis non-testing (OR= 2.2, 95% CI 1.4–3.5, p < 0.001; OR = 2.4, 95, 95% CI 1.5–3.8, p < 0.001, respectively) compared to ‘money boy’ sex workers. Participants with a 0 score on HIV knowledge had 4.1 times (95% CI 1.4–12.5, p = 0.01) the odds of reporting HIV non-testing, 6.0 (95% CI 1.96–18.5, p < 0.01) times the odds of reporting non-testing for syphilis, and 8.44 times (95% CI 1.19–59.7, p = 0.03) the odds of testing positive for HIV, compared to a score of 8. The results highlighted the importance of integrating HIV/syphilis education and promoting testing for both HIV and syphilis among all sub-groups of MSM in China.
This study examined (a) differences between alcohol-only users and alcohol–marijuana co-users and (b) motives for use in relation to alcohol and marijuana use and problem use. Spring 2016 data among 1,870 past 4-month alcohol users (63.6% female, 69.1% White) from seven Georgia colleges/universities were analyzed cross-sectionally and with regard to problem use measured 4 months later. Correlates of co-use (n = 345; vs. alcohol-only use, n = 1,525) included greater alcohol and marijuana use frequency, problem drinking and marijuana use, and alcohol use motives (p’s <.05). Controlling for covariates, alcohol use frequency correlated with greater marijuana use frequency and Coping and Self-enhancement alcohol use motives, but lower Conformity alcohol use motives (p’s <.001); greater Coping and Self-enhancement alcohol use motives (p’s <.01) predicted problem alcohol use. Marijuana use frequency correlated with greater Coping and Expansion marijuana use motives (p’s <.05); greater Expansion marijuana use motives (p =.005) predicted problem marijuana use. College-based substance use interventions should target Coping and Self-enhancement alcohol use motives and Expansion marijuana use motives.
The aim of this study was to describe age-related changes in sexual risk and substance use using existing data from three HIV/sexually transmitted infection (STI) prevention trials conducted in Atlanta, Georgia, that enrolled young African American women. We used two novel analysis methods: integrative data analysis (IDA) and time-varying effect models (TVEM). Each trial collected self-reported behavioral data and vaginal swab specimens assayed for chlamydia, gonorrhea, and trichomonas. Baseline data from all participants and follow-up data from participants not randomized to an active intervention arm were integrated in a pooled dataset using an IDA approach. The pooled dataset included observations for 1974 individuals, aged 14–25 years for behavioral outcomes and 16–25 years for STI outcomes.
We used TVEM to model age-related changes in sexual risk and substance use behaviors and STI acquisition, adjusting for trial as a fixed effect. Coital frequency and condomless sex increased through the early 20s while multiple partnerships remained fairly steady. Alcohol use and cigarette smoking increased through about age 24 years before declining. Marijuana use peaked at age 16–17 years and thereafter generally declined. STI acquisition was highest at age 16 years. This study demonstrates the feasibility and utility of innovative methodological techniques to address novel questions related to adolescent development using existing data from multiple trials. The results suggest that mid-adolescence and the early 20s may be periods of particular risk. The findings may be useful for timing culturally and developmentally relevant prevention interventions for young African American women.
Impact evaluations of water, sanitation, and hygiene interventions have demonstrated lower than expected health gains, in some cases due to low uptake and sustained adoption of interventions at a community level. These findings represent common challenges for public health and development programmes relying on collective action. One possible explanation may be low collective efficacy (CE)—perceptions regarding a group’s ability to execute actions related to a common goal. The purpose of this study was to develop and validate a metric to assess factors related to CE. We conducted this research within a cluster-randomised sanitation and hygiene trial in Amhara, Ethiopia. Exploratory and confirmatory factor analyses were carried out to examine underlying structures of CE for men and women in rural Ethiopia. We produced three CE scales: one each for men and women that allow for examinations of gender-specific mechanisms through which CE operates, and one 26-item CE scale that can be used across genders. All scales demonstrated high construct validity. CE factor scores were significantly higher for men than women, even among household-level male-female dyads. These CE scales will allow implementers to better design and target community-level interventions, and examine the role of CE in the effectiveness of community-based programming.
Objective: To examine prescription stimulant use among college students, particularly use with versus without prescriptions or attention deficit hyperactive disorder (attention-deficit/hyperactivitydisorder (ADHD)) diagnoses. Participants: Data were drawn from a diverse sample of college students from seven colleges/universities in Georgia participating. Methods: Measures assessed ADHD-specific factors, prescription stimulant use, access, motives, side effects, and covariates. Results: Of the 219 students reporting prescription stimulant use (average age 20.72 years, 54.8% female, 82.1% White), 45.7% did not have prescriptions or ADHD diagnoses. Correlates of use without prescriptions/diagnoses included lower parental education, attending private school, not having depression- or anxiety-related diagnoses, and past 30-day marijuana and tobacco use. Those without prescriptions/diagnoses were more likely to use to stay awake longer, to have more enjoyable time, and to party longer; they also reported fewer adverse side effects. Conclusions: Campuses should educate students about ADHD, facilitate screening and treatment, and emphasize adverse consequences of recreational use.
Background: Literature in the West suggested that bisexual men have a higher smoking rate compared to gay men. Data on patterns of smoking among gay and bisexual men are limited in Eastern Asian countries like China. This study examined the cigarette smoking prevalence for gay versus bisexual men in China and their unique minority stress - smoking pathways. Methods: Between September 2017 and November 2018, we surveyed a convenience sample of 538 gay men and 138 bisexual men recruited from local sexual minority organizations in four metropolitan cities in China (i.e., Beijing, Wuhan, Nanchang, and Changsha). Measures included sexual orientation, sociodemographics, theory-based minority stressors, depressive symptoms, and past 30-day cigarette smoking. Two-group (gay men vs. bisexual men) structural equation modeling (SEM) was used to test possible distinct mechanisms between theory-based stressors, depressive symptoms, and cigarette smoking among gay men and bisexual men, respectively. Results: The mean age of participants was 26.51 (SD = 8.41) years old and 76.3% of them had at least a college degree. Bisexual men reported a higher rate of cigarette smoking compared to gay men (39.9% vs. 27.3%). Two-group SEM indicated that the pathways for cigarette smoking were not different between gay and bisexual men. Higher rejection anticipation was associated with greater depressive symptoms (standardized β = 0.32, p <.001), and depressive symptoms were not associated with cigarette smoking. Conclusions: Minority stress, specifically rejection anticipation, may be critical considerations in addressing depressive symptoms, but not smoking, among both gay and bisexual men in China.
This study examines: (1) the association between the neighborhood social environment and obesity among adolescents, (2) whether physical activity, screen time, and short sleep mediates this association, and (3) examine sex differences. Participants (n = 12,692; age 11–19 years old) came from Waves I and II of the National Longitudinal Study of Adolescent to Adult Health. Neighborhood social disorganization and socioeconomic status (NSES) measures were associated with obesity adjusting for sex, race, age, parental education, and urbanicity. Screen time mediated NSES and obesity. Very short sleep duration (<6 h) mediated social disorganization and obesity among females only. Findings suggest improving neighborhood social conditions may reduce the risk for obesity.
SUMMARY
Objectives
To examine the feasibility of telephone-assisted placement of air nicotine monitors among low socio-economic intervention participants, and examine the use of this strategy in differentiating air nicotine concentrations in rooms where smoking is allowed from rooms where smoking is not allowed.
Methods
Forty participants were recruited from a county health department clinic and were enrolled in a brief smoke-free home policy intervention study. Twenty participants were selected at random for air nicotine monitor placement, and were instructed to telephone study staff who assisted them in monitor placement in their homes at the end of the intervention. Assessments were conducted at Weeks 0 and 8, with air nicotine assessment performed post-test.
Results
Of the 20 participants, 17 placed and returned the air nicotine monitors, and 16 also completed the follow-up survey. Follow-up survey data were not obtained on one monitor, and one participant who did not return the monitor completed the follow-up survey. Among those who reported a smoke-free policy (n=7), the average nicotine concentration was 0.62 μg/m3 [standard deviation (SD) 0.48]. Among those without a smoke-free policy (n=9), the average nicotine concentration was 2.30 μg/m3 (SD 2.04). Thus, the air nicotine concentration was significantly higher in those rooms where smoking was allowed [t(9, 11)=-2.39, P=0.04].
Conclusions
The use of a telephone-assisted protocol for placement of air nicotine monitors was feasible. Despite the variability of air nicotine concentrations in rooms where smoking is allowed compared with rooms where smoking is not allowed, average concentrations were lower in smoke-free rooms.
The COVID-19 pandemic has disproportionately impacted communities of color and highlighted longstanding racial health inequities. Communities of color also report higher rates of medical mistrust driven by histories of medical mistreatment and continued experiences of discrimination and systemic racism. Medical mistrust may exacerbate COVID-19 disparities. This study utilizes the Behavior Model for Vulnerable Populations to investigate predictors of medical mistrust during the COVID-19 pandemic among urban youth of color. Minority youth (N=105) were recruited from community organizations in Kansas City, Missouri to complete an online survey between May and June 2020. Multiple linear regressions were performed to estimate the effect of personal characteristics, family and community resources, and COVID-19 need-based factors on medical mistrust. Results indicated that loneliness, financial insecurity (e.g., job loss, loss of income) due to the COVID-19 pandemic, and eligibility for free or reduced lunch predicted medical mistrust. Insurance status, neighborhood median household income, social support, and perceived COVID-19 risk were not significantly associated with medical mistrust. Future research and policies are necessary to address systemic factors that perpetuate medical mistrust among youth of color.
Retention in care is important in managing HIV among older persons living with HIV (PLWH). We used Theory of Loneliness—loneliness affects emotion-regulatory processes which lead to dysfunctional health behaviors—to test whether social isolation is related to retention in care either directly or indirectly through emotion dysregulation in older PLWH (≥ 50 years of age; N = 144). Retention in care was defined as the proportion of attended scheduled medical visits; visit data were collected prospectively over 12 months from electronic medical records. Self-reported social isolation, emotion dysregulation, and covariates were assessed cross-sectionally at baseline. Most participants were male (60%), African American/Black (86%), and single (59%); 56% were optimally retained in care. Retention was related to monthly income, CD4 + T cell count, and drug use with no direct or indirect effects of social isolation on retention in care. Socioeconomic and behavioral vulnerabilities are closely related to retention in care among older PLWH.