Role of relative-reinforcement value of alcohol-free activities during recovery from alcohol use disorder in an adult clinical sample.

Behavioral economic theory has been extensively applied to understand alcohol use disorder (AUD). Applications of behavioral economic theory conceptualize AUD as a pattern of harmful alcohol use over extended periods of time in which choices between drinking or engaging in alcohol-free activities favor drinking. Recovery, in contrast, entails a sustained shift toward a pattern of selecting rewarding alcohol-free activities. The present study examined whether alcohol-free activity engagement and the relative-reinforcement value (RRV) of engaging in those activities predicted AUD treatment outcomes via secondary analysis of data from Project MATCH, a multisite randomized clinical trial examining behavioral treatments for AUD (N = 1,279, 75.8% male, 81.0% non-Hispanic White, 9.5% Black, 7.7% Hispanic/Latino, 1.5% American Indian/Alaska Native, < 1% Asian American, and other race/ethnicity). Regression analyses indicated that every additional alcohol-free activity reported at 6 months posttreatment was associated with 7% fewer drinking days, 5% fewer heavy drinking days, and approximately one less drink per drinking day, as well as with significant improvements in depression, purpose in life, and psychosocial functioning at 12 months following treatment. Consistent with behavioral economic theory, higher RRV of alcohol-free activities also predicted significant reductions in drinking and improvements in functioning, and these associations were stronger compared to results for alcohol-free activity frequency only. The findings highlight the importance of understanding environmental contexts conducive to recovery and support the value of increasing alcohol-free activity engagement and the RRV of engaging in such activities to facilitate reductions in drinking and improved functioning among individuals with AUD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Association Between Religious Salience and Past-Year Substance Use by Sexual Identity and Sex Among Adults in the United States.

Purpose: We examined if associations between religious salience and substance use outcomes differed by sexual identity and sex in a nationally representative sample of adults in the United States. Methods: Using data from the 2019 National Survey on Drug Use and Health (N = 41,216 adults), logistic regression models tested whether sexual identity and sex moderated the associations between religious salience (agreement on the importance of religious beliefs) and past-year alcohol and drug use and use disorders. Results: Religious salience reduced risk of alcohol use disorder, drug use, and drug use disorder for heterosexual, but not lesbian, gay, and bisexual (LGB), individuals. Three-way interactions indicated that religious salience was more protective against alcohol use and drug use and use disorder for bisexual men than bisexual women. Conclusions: Heterosexism common in dominant religious institutions in the United States might hamper the protective effect of religiosity on substance use for LGB individuals.

Associations Between Nonsuicidal Self-Injury and School-Based Health-Promotive Factors for Sexual and Gender Minority Youth and Their Peers.

Purpose: The purpose of this study was to identify associations between school-based, health-promotive factors and nonsuicidal self-injury (NSSI) for sexual and gender minority youth and their heterosexual and cisgender peers. Methods: Using data from the 2019 New Mexico Youth Risk and Resiliency Survey (N = 17,811) and multilevel logistic regression to account for school-based clustering, we compared the effect of four school-based health-promotive factors on NSSI for stratified samples of lesbian/gay, bisexual, and gender-diverse (hereafter, gender minority [GM]) youth. Interactions were examined to evaluate the impact of school-based factors on NSSI for lesbian/gay, bisexual, (compared with heterosexual) and GM (compared with cisgender) youth. Results: Stratified analyses showed that three school-based factors (adult at school who listens, adult at school who believes they will be successful, clear school rules) were associated with lower odds of reporting NSSI for lesbian/gay and bisexual youth, but not GM youth. Interaction effects showed that lesbian/gay youth demonstrated greater reductions in odds of NSSI when reporting school-based supports compared with heterosexual youth. Associations between school-based factors and NSSI were not significantly different for bisexual compared with heterosexual youth. GM youth appear to experience no health-promotive effect on NSSI of school-based factors. Conclusions: Our findings underscore the potential of schools to provide supportive resources that reduce the odds of NSSI for most youth (i.e., heterosexual and bisexual youth), but are particularly effective in reducing NSSI among lesbian/gay youth. However, more study is needed to understand the potential impact of school-based health-promotive factors on NSSI for GM youth.

Measurement Invariance of Psychological Distress, Substance Use, and Adult Social Support across Race/Ethnicity and Sex among Sexual Minority Youth.

Research on intersectional differences among sexual minority youth (SMY) relies on population-level datasets to ensure sufficiently large samples to explore between-group differences and assess the influence of axes of oppression/privilege. I argue that a structural equation modeling framework for investigating intersectional differences among SMY increases the nuance with which we understand heterogeneity and provides tools for ensuring that variables measure comparable constructs across diverse populations - an assumption of traditional univariate methods that is rarely empirically verified. Using a subset of SMY that identified as either White or Hispanic/Latino and male or female from the New Mexico Youth Risk and Resiliency Survey (N = 3,654), this study tested invariance of three latent constructs: psychological distress, substance use, and adult support across sexual orientation, race/ethnicity, sex, and three-way intersections of those identities. Analyses established invariance across race/ethnicity and sex of all constructs among gay/lesbian youth. Partial invariance models were required to account for intersectional differences in substance use among bisexual youth and in psychological distress among questioning youth. This study models a novel strategy for examining how social location at the intersection of multiple axes of oppression/privilege shape behavioral health and social support and paves the way for significant advances in research on SMY.

Individual differences in the effects of the ACTION-PAC intervention: an application of personalized medicine in the prevention and treatment of obesity.

There is an increased interest in the use of personalized medicine approaches in the prevention or treatment of obesity, however, few studies have used these approaches to identify individual differences in treatment effects. The current study demonstrates the use of the predicted individual treatment effects framework to test for individual differences in the effects of the ACTION-PAC intervention, which targeted the treatment and prevention of obesity in a high school setting. We show how methods for personalized medicine can be used to test for significant individual differences in responses to an intervention and we discuss the potential and limitations of these methods. In our example, 25% of students in the preventive intervention, were predicted to have their BMI z-score reduced by 0.39 or greater, while at other end of the spectrum, 25% were predicted to have their BMI z-score increased by 0.09 or more. In this paper, we demonstrate and discuss the process of using methods for personalized medicine with interventions targeting adiposity and discuss the lessons learned from this application. Ultimately, these methods have the potential to be useful for clinicians and clients in choosing between treatment options, however they are limited in their ability to help researchers understand the mechanisms underlying these predictions.

Effects of Friendship among Same-Sex Attracted Youth on Sexual Minority Identity Development in Young Adulthood.

Using data from Waves 1 and 3 of the National Longitudinal Study of Adolescent to Adult Health, this study investigated the interactive impact of adolescent friendship network characteristics and same-sex attraction (SSA) on the development of sexual minority (SM) identity in young adulthood. Results indicate that SSA youth who identified a best friend that also identified them as their best friend were 5.3 times more likely to identify as a SM compared to those who did not experience reciprocity. For each additional classmate who listed them as a friend, SSA youth were 1.2 times more likely to identify as a SM. Increased centrality in friendship network increased the likelihood that SSA youth would identify as a SM by 1.8 times. Sex-stratified results reveal that particular network characteristics impact boys and girls differently. These findings point to the importance of further investigating relationships between friendship characteristics and identity formation among adolescents.

COVID-19 Pandemic and Indigenous Representation in Public Health Data.

Public Health 3.0 calls for the inclusion of new partners and novel data to bring systemic change to the US public health landscape. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has illuminated significant data gaps influenced by ongoing colonial legacies of racism and erasure. American Indian and Alaska Native (AI/AN) populations and communities have been disproportionately affected by incomplete public health data and by the COVID-19 pandemic itself. Our findings indicate that only 26 US states were able to calculate COVID-19‒related death rates for AI/AN populations. Given that 37 states have Indian Health Service locations, we argue that public health researchers and practitioners should have a far larger data set of aggregated public health information on AI/AN populations. Despite enormous obstacles, local Tribal facilities have created effective community responses to COVID-19 testing, tracking, and vaccine administration. Their knowledge can lead the way to a healthier nation. Federal and state governments and health agencies must learn to responsibly support Tribal efforts, collect data from AI/AN persons in partnership with Indian Health Service and Tribal governments, and communicate effectively with Tribal authorities to ensure Indigenous data sovereignty. (Am J Public Health. 2021;111(S3): S208-S214. https://doi.org/10.2105/AJPH.2021.306415).

A permutation test for assessing the presence of individual differences in treatment effects.

An important goal of personalized medicine is to identify heterogeneity in treatment effects and then use that heterogeneity to target the intervention to those most likely to benefit. Heterogeneity is assessed using the predicted individual treatment effects framework, and a permutation test is proposed to establish if significant heterogeneity is present given the covariates and predictive model or algorithm used for predicted individual treatment effects. We first show evidence for heterogeneity in the effects of treatment across an illustrative example data set. We then use simulations with two different predictive methods (linear regression model and Random Forests) to show that the permutation test has adequate type-I error control. Next, we use an example dataset as the basis for simulations to demonstrate the ability of the permutation test to find heterogeneity in treatment effects for a predicted individual treatment effects estimate as a function of both effect size and sample size. We find that the proposed test has good power for detecting heterogeneity in treatment effects when the heterogeneity was due primarily to a single predictor, or when it was spread across the predictors. Power was found to be greater for predictions from a linear model than from random forests. This non-parametric permutation test can be used to test for significant differences across individuals in predicted individual treatment effects obtained with a given set of covariates using any predictive method with no additional assumptions.

Production and maintenance of the institutional in/visibility of sexual and gender minority students in schools.

This research investigates how school professionals, as institutional actors, influence school climates experienced by lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ) youth. Although research links institutional characteristics to outcomes for LGBTQ youth, scholars do not yet fully understand the mechanisms. We address this gap through a mesolevel analysis of staff perspectives on schools' responsibilities to LGBTQ students. Using data from 96 semistructured interviews with high school staff during the 2016-2017 school year, we found that participants used three main cues to assess visibility of the school's LGBTQ population: (a) student self-advocacy; (b) students' enactment of LGBTQ stereotypes; and (c) same-sex relationships. Reliance on these cues led staff to underestimate the LGBTQ population and employ narrative frames to rationalize the status quo: small LGBTQ population did not merit allocating resources; all students were treated equally; LGBTQ-inclusive policies further marginalized LGBTQ students; and student issues were addressed through individualized interventions. Our research shows how staff's biases collide with institutional inertia to influence school climate, one crucial facet of the ecological contexts of LGBTQ youth. We conclude with discussion of implications and recommendations. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Applying methods for personalized medicine to the treatment of alcohol use disorder.

OBJECTIVE: Numerous behavioral treatments for alcohol use disorder (AUD) are effective, but there are substantial individual differences in treatment response. This study examines the potential use of new methods for personalized medicine to test for individual differences in the effects of cognitive behavioral therapy (CBT) versus motivational enhancement therapy (MET) and to provide predictions of which will work best for individuals with AUD. We highlight both the potential contribution and the limitations of these methods. METHOD: We performed secondary analyses of abstinence among 1,144 participants with AUD participating in either outpatient or aftercare treatment who were randomized to receive either CBT or MET in Project MATCH. We first obtained predicted individual treatment effects (PITEs), as a function of 19 baseline client characteristics identified a priori by MATCH investigators. Then, we tested for the significance of individual differences and examined the predicted individual differences in abstinence 1 year following treatment. Predictive intervals were estimated for each individual to determine if they were 80% more likely to achieve abstinence in one treatment versus the other. RESULTS: Results indicated that individual differences in the likelihood of abstinence at 1 year following treatment were significant for those in the outpatient sample, but not for those in the aftercare sample. Individual predictive intervals showed that 37% had a better chance of abstinence with CBT than MET, and 16% had a better chance of abstinence with MET. Obtaining predictions for a new individual is demonstrated. CONCLUSIONS: Personalized medicine methods, and PITE in particular, have the potential to identify individuals most likely to benefit from one versus another intervention. New personalized medicine methods play an important role in putting together differential effects due to previously identified variables into one prediction designed to be useful to clinicians and clients choosing between treatment options. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Estimated Physical Activity in Adolescents by Wrist-Worn GENEActiv Accelerometers.

BACKGROUND: Reports of physical activity (PA) measured via wrist-worn accelerometers in adolescents are limited. This study describes PA levels in adolescents at baseline of an obesity prevention and weight management trial. METHODS: Adolescents (n = 930) at 8 high schools wore an accelerometer for 7 days, with average acceleration values of <50 mg, >150 mg, and >500 mg categorized as sedentary, moderate, and vigorous PA, respectively. In a 3-level mixed-effects generalized linear model, PA was regressed on sex, weight status, and day of week. Daily PA was nested within students, and students within schools, with random effects included for both. RESULTS: Adolescents accumulated a median of 40 minutes daily of moderate to vigorous PA (MVPA). MVPA was significantly different for teens with obesity versus teens with normal weight (-5.4 min/d, P = .03); boys versus girls (16.3 min/d, P < .001); and Sundays versus midweek (-16.6 min/d, P < .001). Average sedentary time increased on weekends (Saturday: 19.1 min/d, P < .001; Sunday: 44.8 min, P < .001) relative to midweek but did not differ by sex or weight status. CONCLUSIONS: Interventions to increase PA in adolescents may benefit from focusing on increasing weekend PA and increasing MVPA in girls.

Rural-Urban Differences in Baseline Dietary Intake and Physical Activity Levels of Adolescents.

INTRODUCTION: Differences in dietary intake and physical activity may explain the higher prevalence of obesity among adolescents living in rural versus urban settings. The objective of this cross-sectional secondary analysis was to compare baseline dietary intake and physical activity of adolescents by rurality. METHODS: We analyzed data on 940 adolescents who participated in ACTION PAC (Adolescents Committed to Improvement of Nutrition and Physical Activity), an obesity prevention and management intervention trial conducted from 2014 through 2017 in 8 public high schools in the southwestern United States. Dietary intake was assessed with the Block Food Screener, and participants completed an exercise log and wore an accelerometer to provide data on physical activity. We compared data by rural-urban commuting area (RUCA) codes and log population density by using multilevel models, with students nested within zip code and repeated measures for accelerometer analysis. RESULTS: After adjusting for socioeconomic status and ethnicity, accelerometer data indicated that moderate-to-vigorous physical activity was 8.17 min/d (P = .02) higher and sedentary time was 20.42 min/d (P = .02) lower in moderately urban areas than in the urban reference area. Each 1-unit increase in log population density was associated with higher reported intake of whole grains (0.02 ounce equivalents, P = .03), potatoes (0.01 cup equivalents, P = .02), and added sugar (0.37 tsp, P = .02) after adjusting for socioeconomic status and ethnicity. CONCLUSION: Differences in reported dietary intake and physical activity level by measures of rurality were small and inconsistent in direction to explain the disparities observed in rural versus urban areas.

Sexual intercourse, romantic relationship inauthenticity, and adolescent mental health.

Numerous studies indicate sexual intercourse, especially when it occurs early in adolescence, increases youths' risk of mental health problems. However, no research has examined whether the association between sexual intercourse and mental health varies by romantic relationship inauthenticity, or the level of incongruence between thoughts/feelings and actions within romantic relationships. Using data from a subset of romantically-involved Add Health respondents, we measured sexual involvement in romantic relationships and applied sequence analysis to reports of ideal and actual romantic relationship to measure inauthenticity within adolescent romances. Regressions of depression symptoms indicate that the magnitude of the positive associations between sexual intercourse and girls' mental health is most pronounced in relationships characterized by high levels of relationship inauthenticity and that there is no association between sexual intercourse and girls' depression at low levels of relationship inauthenticity. Having sexual intercourse is positively associated with depression symptoms among boys, but relationship inauthenticity does not alter this association. We discuss the implications of these findings for research on adolescent sexuality and programs aimed at enhancing youth sexuality development.