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Abstract Purpose: The purpose of this study was to assess sexual orientation differences in high-intensity binge drinking using nationally representative data. Methods: Data were from the National Epidemiologic Survey on Alcohol and Related Conditions III (N = 36,309), a nationally representative sample of U.S. adults collected in 2012–2013. Sex-stratified adjusted logistic regression models were used to test sexual orientation differences in the prevalence of standard (4+ for women and 5+ for men) and high-intensity binge drinking (8+ and 12+ for women; 10+ and 15+ for men) across three dimensions of sexual orientation: sexual attraction, sexual behavior, and sexual identity. Results: Sexual minority women, whether defined on the basis of sexual attraction, behavior, or identity, were more likely than sexual majority women to engage in high-intensity binge drinking at two (adjusted odds ratios [aORs] ranging from 1.52 to 2.90) and three (aORs ranging from 1.61 to 3.27) times the standard cutoff for women (4+). Sexual minority men, depending on sexual orientation dimension, were equally or less likely than sexual majority men to engage in high-intensity binge drinking. Conclusion: This study is the first to document sexual orientation-related disparities in high-intensity binge drinking among adults in the United States using nationally representative data. The results suggest that differences in alcohol-related risk among sexual minority individuals vary depending on sex and sexual orientation dimension.

STUDY OBJECTIVES:Short sleep duration is associated with increased cardiovascular disease (CVD) risk. However, it is uncertain whether sleep debt, a measure of sleep deficiency during the week compared to the weekend, confers increased cardiovascular risk. Because sleep disturbances increase with age particularly in women, we examined the relationship between sleep debt and ideal cardiovascular health (ICH) in older women. METHODS:Sleep debt is defined as the difference between self-reported total weekday and weekend sleep hours of at least 2 hours among women without apparent CVD and cancer participating in the Women's Health Stress Study follow-up cohort of female health professionals (N = 22 082). The ICH consisted of seven health factors and behaviors as defined by the American Heart Association Strategic 2020 goals including body mass index, smoking, physical activity, diet, blood pressure, total cholesterol, and glucose. RESULTS:Mean age was 72.1 ± 6.0 years. Compared to women with no sleep debt, women with sleep debt were more likely to be obese and have hypertension (pall < .05). Linear regression models adjusted for age and race/ethnicity revealed that sleep debt was significantly associated with poorer ICH (B = -0.13 [95% CI = -0.18 to -0.08]). The relationship was attenuated but remained significant after adjustment for education, income, depression/anxiety, cumulative stress, and snoring. CONCLUSION:Sleep debt was associated with poorer ICH, despite taking into account socioeconomic status and psychosocial factors. These results suggest that weekly sleep duration variation, possibly leading to circadian misalignment, may be associated with cardiovascular risk in older women.  https://doi.org/10.1093/sleep/zsz149

Social determinants of health (SDoH), factors related to the conditions in which people are born, live, work, play, age, and the systems that shape the conditions of daily life, have emerged as key drivers of health and health disparities. 1 , 2  A strong body of research supports that SDoH are associated with cardiovascular risk factors and outcomes, independently or in conjunction with more traditionally recognized risk factors. As a result, efforts to improve cardiovascular health are predicated on improved understanding of the impact of SDoH on cardiovascular disease (CVD) over the life course.

OBJECTIVE: Research on the heterogeneity in drinking patterns of urban minorities within a socioecological framework is rare. The purpose of this study was to explore multiple, distinct patterns of drinking from adolescence to young adulthood in a sample of urban minority youth and to examine the influence of neighborhood, family, and peers on these trajectories. METHOD: Data are from a longitudinal study of 584 (56% male) primarily Black (87%) youth who were first sampled in childhood based on their residence in low-income neighborhoods in Baltimore City and followed up annually through age 26. Data were analyzed using group-based trajectory modeling and multinomial logistic regression. RESULTS: Modeling revealed six trajectories from ages 14 to 26: abstainer, experimenter, adult increasing, young adult increasing, adolescent limited, and adolescent increasing. Neighborhood disadvantage was a risk factor for drinking regardless of the timing of onset. Perceptions of availability, peer drinking, and parental approval for drinking were risk factors for underage drinking trajectories, whereas parental supervision was a significant protective factor. Positive social activities in neighborhoods was protective against increased drinking, whereas a decline in perceptions of peer drinking was associated with adolescent-limited drinking. CONCLUSIONS: Our findings uniquely highlight the importance of developing interventions involving parents for urban minority youth for whom family is particularly relevant in deterring underage drinking. Perhaps most importantly, our data suggest that interventions that support positive social activities in disadvantaged neighborhoods are protective against adolescent drinking and altering perceptions of peer drinking may reduce adolescent drinking among low-income, urban minority youth.

Objectives: We examined the use of data from social media for surveillance of physical activity prevalence in the USA. Methods: We obtained data from the social media site Twitter from April 2015 to March 2016. The data consisted of 1382 284 geotagged physical activity tweets from 481146 users (55.7% men and 44.3% women) in more than 2900 counties. We applied machine learning and statistical modelling to demonstrate sex and regional variations in preferred exercises, and assessed the association between reports of physical activity on Twitter and population-level inactivity prevalence from the US Centers for Disease Control and Prevention. Results: The association between physical inactivity tweet patterns and physical activity prevalence varied by sex and region. Walking was the most popular physical activity for both men and women across all regions (15.94% (95% CI 15.85% to 16.02%) and 18.74% (95% CI 18.64% to 18.88%) of tweets, respectively). Men and women mentioned performing gym-based activities at approximately the same rates (4.68% (95% CI 4.63% to 4.72%) and 4.13% (95% CI 4.08% to 4.18%) of tweets, respectively). CrossFit was most popular among men (14.91% (95% CI 14.52% to 15.31%)) among gym-based tweets, whereas yoga was most popular among women (26.66% (95% CI 26.03% to 27.19%)). Men mentioned engaging in higher intensity activities than women. Overall, counties with higher physical activity tweets also had lower leisure-time physical inactivity prevalence for both sexes. Conclusions: The regional-specific and sex-specific activity patterns captured on Twitter may allow public health officials to identify changes in health behaviours at small geographical scales and to design interventions best suited for specific populations.

Telephone survey shows high understanding of social distancing, support for lockdown

Purpose:  We examined how substance use differed as a function of sex assigned at birth and gender identity (cisgender, transgender, or nonbinary/genderqueer) by type of substance. We sought to test whether current gender identity and sex assigned at birth were key factors in substance use among a large contemporary sample that included transgender and nonbinary/genderqueer adolescents. Methods:  We analyzed data from a large national U.S. sample of sexual and gender minority (SGM) adolescents (n = 11,129) collected between April and December 2017. Chi-square tests of independence were used to test whether substance use behaviors varied by sex assigned at birth and gender identity. A series of multivariate logistic regression models tested the odds of substance use by sex assigned at birth and gender identity, as well as the interaction between sex assigned at birth and gender identity. Results:  More than half of our sample reported lifetime alcohol use, and one-fourth of the sample reported lifetime marijuana use. Adolescents assigned male at birth had higher prevalence of substance use compared with adolescents assigned female at birth (AFAB). Multivariate models elucidated greater risk for most substance use outcomes for transgender adolescents compared with cisgender adolescents. We found significant interaction effects between gender identity and sex assigned at birth for recent alcohol use and lifetime and recent cigarette use among adolescents AFAB. Conclusions:  These findings have implications for stakeholders who develop nationally representative surveys, researchers who examine substance use disparities among SGM adolescents, and mental health professionals who treat underage substance use among vulnerable populations.

BACKGROUND: Substance use is prevalent and is associated with academic performance among adolescents. Few studies have examined the association between abstinence from all substances and academic achievement. METHODS: Data from a nationally representative sample of 9578 12th graders from the 2015 Monitoring the Future survey were analyzed to examine relationships between abstinence from substance use and 4 academic variables: skipping school, grades, academic self-efficacy, and emotional academic engagement. Participants were categorized as lifetime non-users, former users, and past-year users based on the use of 14 substances. RESULTS: Approximately one-fourth of participants had never used cigarettes, alcohol, or other drugs during their lifetime, and 8% wt  used at least one substance during their lifetime but not during the past year. Adjusting for demographic variables, past-year substance users had 2.71 greater odds of skipping school during the past month than lifetime non-users and 1.74 greater odds of having low grades. Lifetime non-users reported greater academic self-efficacy and emotional academic engagement than past-year users. CONCLUSIONS: Many 12th graders have abstained from all substance use during their lifetime, and these adolescents experience better academic outcomes than their substance-using peers. Substance use prevention programs should be evaluated as a way to promote academic achievement.

We examined the prospective role of parental support and adult identity profiles in the transition to adulthood on teen mothers’ socioeconomic outcomes in adulthood. Analyses were based on the National Longitudinal Study of Adolescent to Adult Health, a nationally representative sample of youth followed over a decade. We used data from Waves 1, 3, and 4 (mean age = 28.6, Wave 4). Analytical sample consisted of 981 females who gave birth before age 20. Analysis included design-based regression models. Findings from adjusted regression models showed no statistically significant associations between teen mothers’ parental support and socioeconomic outcomes. While teen mothers have already achieved an important marker of adulthood, variability in adult identity profiles was observed. Teen mothers with older subjective age, regardless of their levels of psychosocial maturation, had higher socioeconomic attainment on some indicators. Findings suggest that teen mothers’ adult identity profiles differentiate their socioeconomic trajectories later in life.

Black populations in the United States are disproportionately affected by HIV. This disparity may be affected by social and structural barriers to HIV testing, leading to undiagnosed infection and prolonged HIV transmissibility. Using data from a nationally representative sample of 1,727 Black men in the 2015 Behavioral Risk Factor Surveillance System we tested for differences in poverty, depression, and health care barriers between Black men who had been HIV tested in the past year and those who had not. We also tested a syndemic index of these factors. Number of syndemic factors was linearly associated with less HIV testing (aPR=0.79, 95% CI 0.66-0.95). Assumptions of unidimensionality were met. The use of a syndemic index was a superior approach to analyzing these factors individually, both in terms of model fit and associations detected. The accumulation of poverty, depression, and health care barriers has an adverse impact on HIV testing among Black men.