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Short sleep duration and evening chronotype are independently associated with negative health outcomes. However, it is unclear how adolescent sleep duration and chronotype are longitudinally associated with health outcomes during early adulthood.Participants from the NEXT Generation Health Study (n = 2,783; 54.5% female) completed measures of sleep duration (scheduled day and unscheduled day) and chronotype in high school. Sleep duration, chronotype, general health, depressive symptoms, and psychosomatic symptoms were also assessed 4 years after high school. Latent variables estimated high school scheduled-day sleep duration, unscheduled-day sleep duration, and chronotype using the during high school measures. Two path analyses tested the prospective associations between high school sleep duration (separate models for scheduled and unscheduled days) and chronotype with 4 years after high school health outcomes as mediated by concurrent sleep duration and chronotype.In the scheduled-day model, longer high school sleep duration and later chronotype were associated with longer duration and later chronotype in early adulthood. Longer high school sleep duration was directly associated with fewer psychosomatic symptoms and indirectly associated with fewer depressive and psychosomatic symptoms through longer sleep duration in early adulthood. Later chronotype in high school was indirectly associated with poorer general health, greater depressive symptoms, and greater psychosomatic symptoms in early adulthood through later chronotype.Findings highlight the roles of scheduled-day sleep duration and evening chronotype in shaping health outcomes and suggest the importance of chronotype and optimal sleep habits among adolescents.Maultsby KD, Temmen CD, Lewin D, et al. Longitudinal associations between high school sleep characteristics and young adult health outcomes.

Driving licensure remains a major developmental milestone for adolescents as they become more independent to access important health, education, and employment opportunities. Today, more teens are delaying driving licensure than before. We investigated associations of delayed licensure with health, education, and employment 4 years after high school.We analyzed data from all seven annual assessments (W1-W7) of the NEXT Generation Health Study, a nationally representative cohort survey starting at 10th grade (W1, 2009-2010). The independent variable was delaying driving licensure (DDL [delaying ≥1 year] vs. No-DDL), defined as participants receiving driver licensure ≥1 year after the initial legal eligibility time until W7. Outcome variables were self-reported health, education, and employment at W7. Covariates included sex, race/ethnicity, family affluence, parental education, and urbanicity. Multinomial logistic regressions were conducted considering complex survey features.No-DDL versus DDL was associated with a higher likelihood of (1) excellent (adjusted odds ratio [AOR] = 2.06, p.001), good (AOR = 1.74, p.001), and fair (AOR = 1.34, p = .008) health compared with poor health; (2) completing a 4-year college or graduate school [AOR = 2.71, p.001] and tech/community college [AOR = 1.92, p = .004] compared with high school or less; and (3) working ≥30 hours/week (AOR = 7.63, p = .011) and working30 hours/week (AOR = 1.54, p = .016) compared with not working.Among emerging adults, no delay in driving licensure was associated with better self-reported health, higher education, and more working hours four years after leaving high school. Although earlier driving licensure increases driving exposure and risk, avoiding DDL appears to provide advantages for health, education, and employment during early adulthood.

Objective:To examine associations of school food availability with student intake frequency and BMI, and whether the number of neighbourhood food outlets modifies these associations.Design:Baseline assessment of a nationally representative cohort study of US 10th graders. Students reported intake frequency of fruits and vegetables (FV), snacks and soda. BMI was calculated from measured height and weight. Administrators of seventy-two high schools reported the frequency of school availability of FV, snacks and soda. The number of food outlets within 1 km and 5 km were linked with geocoded school addresses. Data were analysed using adjusted linear and logistic mixed models with multiple imputation for missing data.Setting:US 2009–2010.Participants:Totally, 2263 US 10th graders from the Next Generation Health Study (NEXT).Results:Greater school FV availability was positively associated with student FV intake. Food outlets within 5 km of schools (but not 1 km) attenuated the association of school FV availability with student intake; this was no longer significant at schools with > 58 food outlets within 5 km. School food availability was not associated with student BMI or student snack or soda intake.Conclusions:School food availability was associated with student intake of FV, but not with snacks, soda or BMI. Attenuation of the observed associations by the school neighbourhood food environment indicates a need to find ways to support healthy student eating behaviours in neighbourhoods with higher food outlet density.

Objective To identify trajectory classes of risky driving among emerging adults and examine predictive associations of depressive and psychosomatic symptoms in the 12th grade with the identified trajectory classes. Methods Data were from the last year in high school (12th-Grade - Wave 3 [W3]) and years 1-4 after high school (Waves 4-7 [W4-7]) of the NEXT Generation Health Study, a nationally representative study starting with 10th grade (2009-2010). We measured risky driving with the 21-item Checkpoints Self-Reported Risky Driving Scale (C-RDS). Using C-RDS data from W3-7, the latent class growth modeling (LCGM) was used to identify risky driving trajectory classes. Independent variables were W3 depressive symptoms and W3 psychosomatic symptoms. Covariates included family affluence and urbanicity. The LCGM was conducted with SAS PROC Traj. The multinomial logistic regressions were used to examine the associations between the trajectory classes and independent variables, taking complex survey sampling features into account. Results Three risky driving trajectories were identified: low (N = 583, 21.43%, weighted and hereafter), medium (N = 1423, 59.22%), and high (N = 389, 19.35%) risky driving classes. Compared to the low risky driving class, one unit increase in W3 depressive symptoms was significantly associated with a higher likelihood of belonging to the medium (adjusted odds ratio [AOR] = 1.04, 95% CI 1.01, 1.07) and the high (AOR = 1.05, 95% CI 1.02, 1.08) risky driving classes, respectfully, when controlling for the covariates. Likewise, compared to the low risky driving class, one unit increase in W3 psychosomatic symptoms was significantly associated with a higher likelihood of belonging to the medium (AOR = 1.06, 95% CI 1.00, 1.13) and the high (AOR = 1.10, 95% CI 1.04, 1.16) risky driving classes, respectively, when controlling for the covariates. Conclusions High school students with depressive and psychosomatic symptoms were at higher risk of engaging in risky driving in the immediate years after leaving high school. These findings suggest that prevention programs that incorporate screening, referral to treatment, and treatment of mental and psychosomatic symptoms in high school may be important opportunities to reduce risky driving among youth as they transition from adolescence to emerging adulthood.

BACKGROUND Teens who delay driving licensure may not be subject to graduated driver licensing restrictions that are known to reduce crash risk. We explored the association of delay in licensure with driving while impaired (DWI) and riding with an impaired driver (RWI) among emerging adults. METHODS Data from the NEXT Generation Health Study, starting with 10th grade (2009-2010), were analyzed. The outcome variables were Wave 7 (W7) self-reported DWI and RWI as dichotomous variables. The independent variable was delay in licensure. Covariates included sex, urbanicity, race/ethnicity, family structure, parent education, family affluence, teen's highest education, minimum legal drinking age laws, and onset age of alcohol use. Descriptive analysis and logistic regressions were conducted. RESULTS Of 2525 participants eligible for licensure, 887 reported a delay in licensure by 1-2 years (38.9%, weighted) and 1078 by > 2 years (30.3% weighted) across 7 waves. In W7, 23.5% (weighted and hereafter, 5.6% once, 17.8% ≥twice) of participants reported DWI and 32.42% (5.6% once, 25.4% ≥twice) reported RWI. Logistic regressions showed no overall significant association of delay in licensure with either W7 RWI or W7 DWI. However, in stratified analyses, among African American youth, delay in licensure was positively associated with DWI (OR = 2.41, p = 0.03) and RWI (OR = 2.72, p = 0.05). Among those with ≤ high school or lower education by W7, delayed licensure was positively associated with RWI (OR = 2.51, p

Introduction Young adulthood is a critical period for the adoption of risk behaviors like tobacco use. Protective factors in adolescence may promote a tobacco-free transition to young adulthood. We examine associations between the frequency of parental anti-smoking encouragement in adolescence and cigarette and e-cigarette use in young adulthood. Aims and Methods We analyzed data from Waves 1 (2009–2010, 10th grade, mean age = 16.2 years) and 5 (2013–2014 mean age = 20.3 years) of the US nationally representative NEXT Generation Health Study (n = 1718). At Wave 1, participants reported how often their parents or guardians encourage them to not smoke cigarettes (1 = Rarely or Never, 7 = Frequently). We used separate weighted multiple logistic regression models to model Wave 5 past 30-day cigarette and e-cigarette use as functions of the frequency of parental anti-smoking encouragement at Wave 1, adjusting for sociodemographic and parenting factors, initial substance use, and peer tobacco use. Results The average frequency of parental encouragement to not smoke cigarettes was fairly high (mean = 5.35). At Wave 5, 24.7% and 14.2% of respondents reported cigarette and e-cigarette use in the past 30 days, respectively. Greater frequency of parental anti-smoking encouragement was associated with lower odds of subsequent cigarette smoking (adjusted odds ratio 0.91, 95% confidence interval 0.83, 0.99) but its association with e-cigarette use was not significant (adjusted odds ratio 0.93, 95% confidence interval 0.84, 1.04). Conclusions The longitudinal negative association between anti-smoking encouragement and cigarette use suggests that parental anti-tobacco communication could be a long-term protective factor against young adult tobacco use. Our findings may also suggest the importance of product-specific messages in the evolving tobacco use landscape. Implications This study builds upon prior investigations of parenting in adolescence as a protective factor against young adult risk behavior. We isolate the frequency of anti-smoking encouragement during adolescence as an actionable factor distinct from other parenting variables. Our findings also suggest that message specificity may be an important factor in parental anti-tobacco communication as youth and young adult tobacco use becomes increasingly dominated by e-cigarettes.

Prevention of early age initiation of cannabis use is a national priority, highlighting the importance of identifying cannabis-specific attitudes, norms, and perceived behavioral control in relation to initiation age.Data were from the NEXT Generation Health Study, a national longitudinal sample of US adolescents followed from 10th grade (N = 1850). Cannabis-specific attitudes, norms, and perceived behavioral control were assessed at 10th grade. Age of first use was reported retrospectively 2-3 years after high-school and participants were categorized as early initiators (14 years; 3.8%), high-school (HS) initiators (14-18 years; 35.6%), post-HS initiators (18 years; 8.3%), or never users (52.3%).Relative to never users, early initiators were more likely to endorse pro-use attitudes (AOR [adjusted odds ratio] = 2.39, 95% confidence interval [CI] = 1.27-4.50), less disapproving parental attitudes toward use (AOR = 2.50, 95% CI = 1.45-4.28), higher cannabis use among friends (AOR = 3.81, 95% CI = 2.21-6.60), and higher ease of access (AOR = 2.10, 95% CI = 1.14-3.87); HS initiators were similarly more likely to report less disapproving attitudes toward use (AOR = 1.55, 95% CI = 1.25-1.91), higher cannabis use among friends (AOR = 2.81, 95% CI = 2.18-3.65), and higher ease of access (AOR = 1.66, 95% CI = 1.21-2.28).Earlier cannabis initiation was associated with more favorable cannabis attitudes, subjective norms, and perceived behavioral control, highlight these variables as potential intervention targets.

Adverse childhood experiences (ACEs) can have lasting effects on adult health and survival. In this study, we aimed to examine how the cumulative number and clustering patterns of ACEs were related to premature mortality.Participants (At the start of the follow-up for mortality in 1979, participants were 12-20 years old (Mean=15·99 years), and within the 38-year follow-up through 2016, 3 344 deaths were observed among the 46 129 CPP offspring. Five latent classes of ACEs were identified. Compared to children withAbout half of the CPP cohort experienced early life adversities that clustered into four distinct patterns, which were associated with different risk of premature mortality. It is important to deepen our understanding of how specific clusters of childhood adversities affect health and premature mortality to better inform approaches to prevention and interventions.

BACKGROUND. The proportion of motor vehicle crash fatalities involving alcohol-impaired drivers declined substantially between 1982 and 1997, but progress stopped after 1997. The systemic complexity of alcohol-impaired driving contributes to the persistence of this problem. This study aims to identify and map key feedback mechanisms that affect alcohol-impaired driving among adolescents and young adults in the U.S. METHODS. We apply the system dynamics approach to the problem of alcohol-impaired driving and bring a feedback perspective for understanding drivers and inhibitors of the problem. The causal loop diagram (i.e., map of dynamic hypotheses about the structure of the system producing observed behaviors over time) developed in this study is based on the output of two group model building sessions conducted with multidisciplinary subject-matter experts bolstered with extensive literature review. RESULTS. The causal loop diagram depicts diverse influences on youth impaired driving including parents, peers, policies, law enforcement, and the alcohol industry. Embedded in these feedback loops are the physical flow of youth between the categories of abstainers, drinkers who do not drive after drinking, and drinkers who drive after drinking. We identify key inertial factors, discuss how delay and feedback processes affect observed behaviors over time, and suggest strategies to reduce youth impaired driving. CONCLUSION. This review presents the first causal loop diagram of alcohol-impaired driving among adolescents and it is a vital first step toward quantitative simulation modeling of the problem. Through continued research, this model could provide a powerful tool for understanding the systemic complexity of impaired driving among adolescents, and identifying effective prevention practices and policies to reduce youth impaired driving.

STUDY OBJECTIVES: Sexual minority adolescents experience mental and physical health disparities attributable to increased discrimination and minority stress. These same factors may also impair sleep health, although available literature on this topic is limited. This study examined longitudinal associations between adolescent sexual minority status and seven sleep behaviors in young adulthood and tested depressive symptoms and overweight as mediators. METHOD: Data were drawn from Waves 2 (11th grade) to 7 (4 years after high school) of the NEXT Generation Health Study, a national longitudinal cohort study of US adolescents (n = 1946; 6.3% sexual minorities). RESULTS: There were no significant sexual orientation disparities in sleep duration, trouble falling asleep, trouble staying asleep, or trouble waking up during young adulthood. Relative to heterosexual females, sexual minority females had higher odds of snoring/stop breathing (36.6% versus 19.2%; adjusted odds ratio = 2.57; 95% confidence interval = 1.30, 5.09) and reported more frequent daytime sleepiness (b = 0.66, 95% confidence interval = 0.05, 1.27). Mediation analyses revealed that female sexual minority status was associated with increased risk of snoring/stop breathing though overweight status (mediated 43.6% of total effect) and was also associated with increased daytime sleepiness through higher depressive symptoms (mediated 70.8% of total effect). CONCLUSIONS: Among US youth, no sexual orientation disparities were found except for snoring/stop breathing and daytime sleepiness among females. Sexual orientation disparities in these aspects of sleep are partially due to worse mental and physical health among sexual minority females, highlighting depressive symptoms and overweight problems as potential intervention targets. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Title: Health Behavior in School-Aged Children: NEXT Longitudinal Study 2009-2016; Identifier: NCT01031160 CITATION: Luk JW, Sita KR, Lewin D, Simons-Morton BG, Haynie DL. Sexual orientation and sleep behaviors in a national sample of adolescents followed into young adulthood. J Clin Sleep Med. 2019;15(11):1635–1643.

OBJECTIVE: This study examined longitudinal associations between college attendance, residence on- or off-campus, and work status during the first 2 years after high school with extreme binge drinking at 4 years after high school and tested peer drinking and personal income at 3 years after high school as mediators. METHOD: Data were drawn from Waves 4–7 of the NEXT Generation Health Study (n = 2,081). Multinomial logistic regressions and mediation analyses were conducted. Extreme binge drinking was measured using the largest number of drinks on a single day in the past year. RESULTS: Univariate analyses indicated that attending university, living on campus, and working more than 30 hours at any point during the first 2 years after high school were associated with increased risk of drinking two to three times above the binge drinking threshold (relative risk ratios [RRR] ranged from 1.79 to 5.70). In multivariate analyses, dropping out of university was associated with drinking two times above the binge drinking threshold (RRR = 4.88), whereas living on campus (RRR = 4.54) and working more than 30 hours (RRR = 5.26) were associated with increased risk of drinking three times above the binge drinking threshold. Close friends’ drinking and personal income were significant mediators. CONCLUSIONS: Living on campus and working more than 30 hours per week during the first 2 years after high school increased risk for drinking three times above the binge drinking threshold at 4 years after high school.

Background Underage binge drinking is a serious health concern that is likely influenced by the neighbourhood environment. However, longitudinal evidence has been limited and few studies have examined time-varying neighbourhood factors and demographic subgroup variation. Methods We investigated neighbourhood influences and binge drinking in a national cohort of US 10th grade students at four times (2010–2014; n = 2745). We estimated odds ratios (OR) for past 30-day binge drinking associated with neighbourhood disadvantage, personal and property crime (quartiles), and number of liquor, beer and wine stores within 5 km, and then evaluated whether neighbourhood associations differ by age, sex and race/ethnicity. Results Neighbourhood disadvantage was associated with binge drinking before 18 [OR = 1.54; 95% confidence interval (1.14, 2.08)], but not after 18 years of age. Property crime in neighbourhoods was associated with a higher odds of binge drinking [OR = 1.54 (0.96, 2.45)], an association that was stronger in early adulthood [4th vs 1st quartile: OR = 1.77 (1.04, 3.03)] and among Whites [4th vs 1st quartile: OR = 2.46 (1.03, 5.90)]. Higher density of liquor stores predicted binge drinking among Blacks [1–10 stores vs none: OR = 4.31 (1.50, 12.36)] whereas higher density of beer/wine stores predicted binge drinking among Whites [one vs none for beer: OR = 2.21 (1.06, 4.60); for wine: OR = 2.04 (1.04, 4.03)]. Conclusions Neighbourhood conditions, particularly those related to economic circumstances, crime and alcohol outlet density, were related to binge drinking among young adults, but associations varied across age and individual characteristics.

PURPOSE The purpose of this study was to identify and characterize trajectory classes of adolescents who ride with an impaired driver (RWI) and drive while impaired (DWI). METHODS We analyzed all 7 annual assessments (Waves W1-W7) of the NEXT Generation Health Study, a nationally representative longitudinal study starting with 10th grade (2009-2010 school year). Using all 7 waves, latent class analysis was used to identify trajectory classes with dichotomized RWI (last 12 months) and DWI (last 30 days; once or more = 1 vs. none = 0). Covariates were race/ethnicity, sex, parent education, urbanicity, and family affluence. RESULTS Four RWI trajectories and 4 DWI trajectories were identified: abstainer, escalator, decliner, and persister. For RWI and DWI trajectories respectively, 45.0% (n = 647) and 76.2% (n = 1,657) were abstainers, 15.6% (n = 226) and 14.2% (n = 337) were escalators, 25.0% (n = 352) and 5.4% (n = 99) were decliners, and 14.4% (n = 197) and 3.8% (n = 83) persisters. Race/ethnicity (χ2 = 23.93, P = .004) was significantly associated with the RWI trajectory classes. Race/ethnicity (χ2 = 20.55, P = .02), sex (χ2 = 13.89, P = .003), parent highest education (χ2 = 12.49, P = .05), urbanicity (χ2 = 9.66, P = .02), and family affluence (χ2 = 12.88, P = .05) were significantly associated with DWI trajectory classes. CONCLUSIONS Among adolescents transitioning into emerging adulthood, race/ethnicity is a common factor associated with RWI and DWI longitudinal trajectories. Our results suggest that adolescent RWI and DWI are complex behaviors warranting further detailed investigation of the respective trajectory classes. Our study findings can inform the tailoring of prevention and intervention efforts aimed at preventing illness/injury and preserving future opportunities for adolescents to thrive in emerging adulthood.

OBJECTIVES To determine if sexual minority adolescents have earlier onset of suicidality and faster progressions from ideation to plan and attempt than heterosexual adolescents. METHODS A population-based longitudinal cohort of 1771 adolescents participated in the NEXT Generation Health Study. Participants reported sexual minority status (defined by sexual attraction) in 2010–2011 and retrospectively reported age at onset of suicidality in 2015–2016. RESULTS Sexual minority adolescents (5.8% of weighted sample) had higher lifetime risk of suicide ideation (26.1% vs 13.0%), plan (16.6% vs 5.4%), and attempt (12.0% vs 5.4%) than heterosexual adolescents. Survival analyses adjusted for demographic characteristics and depressive symptoms revealed positive associations of sexual minority status with time to first onset of suicide ideation (hazard ratio [HR] = 1.77; 95% confidence interval [CI] 1.03–3.06) and plan (HR = 2.69; 95% CI 1.30–5.56). The association between sexual minority status and age at onset of suicide attempt was stronger at age CONCLUSIONS Sexual minority adolescents had earlier onset of suicidality and faster progression from suicide ideation to plan than heterosexual adolescents. The assessment of sexual minority status in routine pediatric care has the potential to inform suicide risk screening, management, and intervention efforts among early sexual minority adolescents.

Adolescents and young adults who ride with an impaired driver (RWI) and drive while impaired (DWI) are at considerable risk for crash-related injury and death (National Center for Statistics and An...

OBJECTIVE: Examined cross-sectional associations of driving while impaired (DWI) and risky driving with mental and psychosomatic health among U.S. emerging adults. METHODS: Data were from years 1–4 after high school (waves 4–7) of the NEXT Generation Health Study, a nationally representative study starting with 10th grade (2009–2010). Outcome variables were DWI (dichotomous variable: [Formula: see text] 1 day vs. 0 days in the last 30 days) and risky driving Checkpoints Self-Reported Risky Driving Scale (C-RDS). Independent variables included depressive symptoms and psychosomatic symptoms. Multivariate logistic and linear regressions were conducted with complex survey features considered. RESULTS: Higher depressive and psychosomatic symptoms were associated with modestly higher likelihood of DWI (Adjusted odds ratio [AOR] ranged from 1.02 to 1.03 and from 1.04 to 1.05, respectively) and higher C-RDS scores (b ranged from 0.06 to 0.12 and from 0.08 to 0.23, respectively) in years 1–4 after high school. CONCLUSIONS: Depressive and psychosomatic symptoms were associated with greater DWI and risky driving in all 4 years after high school. Negative mental and psychosomatic health should be targeted components of DWI and risky driving prevention to lower fatal motor vehicle crashes among emerging adults.

OBJECTIVE: Novice drivers who delay in driving licensure may miss safety benefits of Graduate Driver Licensing (GDL) programs, potentially putting themselves at higher crash-risk. Time to licensure relates their access to independent transportation to potential future economic- and educational-related opportunities. The objective of this study was to explore time to licensure associations with teens’ race/ethnicity and GDL restrictions. METHODS: Secondary analysis using all seven annual assessments of the NEXT Generation Health Study, a nationally representative longitudinal study starting with 10(th) grade (N=2785; 2009–2010 school year). Data were collected in U.S. public/private schools, colleges, workplaces, and other settings. The outcome variable was interval-censored time to licensure (event = obtained driving licensure). Independent variables included race/ethnicity and state-specific GDL restrictions. Covariates included family affluence, parent education, nativity, sex, and urbanicity. Proportional hazards (PH) models were conducted for interval-censored survival analysis based on stepwise backward elimination for fitting multivariate models with consideration of complex survey features. In the PH models, a hazard ratio (HR) estimates a greater (>1) or lesser (

Objectives We validated a continuous cardiometabolic risk (CMR) measure among adolescents. Methods Five metabolic syndrome (MetS) components including waist circumference, triglycerides, high-density lipoprotein cholesterol, fasting blood glucose, and mean arterial pressure were assessed in a national cohort of U.S. adolescents (n=560; 16.5 ± 0.5 y/o at baseline) in 10th grade (2010, Wave 1 (W1)), and follow-up assessments four (W4) and seven (W7) years later. Separately by wave, linear regressions were fitted to each MetS component controlling for age, sex, and race/ethnicity, and yielded standardized residuals (Z-scores). Wave-specific component Z-scores were summed to obtain composite CMR Z-scores. Four- and seven-year CMR change (CMR-diff W1–W4 and W1–W7). and average CMR risk (CMR-avg; (W1 + W4)/2 and (W1 + W7)/2) were calculated using the CMR Z-scores. W7 MetS was determined using adult criteria. Student’s t-test and receiver operating characteristic (ROC) curve were conducted. Results Participants meeting the adult criteria for MetS at W7 (74 of 416, 17.8%) had statistically significant (p Conclusions Findings support the validity of the continuous CMR Z-scores calculated using linear regression in evaluating and monitoring CMR profiles from adolescence to early adulthood.

Purpose To investigate whether life satisfaction and optimism might reduce the risk of suicidal thoughts and behaviors among adolescents with depressive symptoms. Methods Participants were 1,904 youth from the NEXT Generation Health Study, a national sample of U.S. adolescents, followed over 7 years from 2009/2010 to 2015/2016. Longitudinal latent profile analysis and logistic regressions were conducted. Results We identified three subgroups of adolescents with different patterns of depressive symptoms across the first six waves: “Low” (40%), “Mild” (42%), and “Moderate to Severe” (18%). The Moderate to Severe (OR = 14.47, 95% CI [6.61, 31.66]) and Mild (OR = 3.90, 95% CI [2.22, 6.86]) depression profiles had significantly higher odds of developing suicidality than the Low depression profile. Both life satisfaction and optimism moderated the association between depressive symptom profile and suicidality. The difference in suicidality risk between the Mild and Low depression profiles was significantly attenuated at high versus low levels of life satisfaction, with a difference of −.08, 95% CI [−.14, −.03]. In addition, the difference in suicidality risk between the Moderate to Severe and Low depression profiles was attenuated at high versus low levels of optimism, with a difference of −.11, 95% CI [−.21, −.01]. Conclusions For adolescents transitioning to young adulthood, resilience factors such as life satisfaction and optimism may buffer against suicidality risk in the face of mild or moderate to severe depressive symptoms.

Purpose This study aimed to investigate potential bidirectional relations between key sleep characteristics and somatic symptoms with past 30-day marijuana use in high school students. Methods Participants from the NEXT Generation Health Study (n = 2,770) reported on 10th and 11th grade (W1 and W2) sleep characteristics and somatic symptoms and 12th grade (W3) past 30-day marijuana. Multivariate logistic regressions and path analyses were conducted. Results Sleep duration was not associated with marijuana use. However, later W1 chronotype, greater W1 social jetlag, W1 trouble falling asleep, W1 trouble staying asleep, and W1 somatic symptoms were associated with increased odds of W3 past 30-day marijuana use. Path models indicated direct associations between W1 chronotype and W3 past 30-day marijuana use, and W1 social jetlag and W3 past 30-day marijuana use. Conclusions Later sleep timing was longitudinally associated with past 30-day marijuana use. Improved understanding of sleep health, specifically chronotype and social jetlag as risk factors for marijuana use is warranted, which may inform additional screening targets and interventions that address these associated domains.

Purpose: To investigate relationships of farm-to-school, school meal, and competitive food state laws with eating behaviors and weight status and to examine interaction between different types of state laws. Design: Observational cohort study. Settings: US adolescents. Participants: The NEXT study is a nationally representative sample of adolescents assessed annually for 7 years. Data (N = 2751) from students attending public schools from the first (W1) and third (W3) assessment waves (2010 and 2012), occurring during grades 10 and 12, respectively, of the NEXT study were included. Measures: Eating behaviors and weight status of adolescents were linked with Classification of Laws Associated with School Students scoring for state laws. Analysis: Regression analyses examined associations of laws with intake and weight status, accounting for complex survey design and school-level clustering. Results: Adolescents in states with strong farm-to-school laws had greater W1 whole fruit, lower soda, and snack intakes versus those in states with no laws. Strong school meal laws were associated with lower W1 soda intake. Adolescents in states with strong competitive food laws had lower soda intake and overweight/obesity odds than those in states with no laws in W3. Strong farm-to-school laws were inversely associated with W3 overweight/obesity odds only in states with strong competitive food laws. Conclusions: Stronger laws governing school nutrition were related to healthier eating behaviors and optimal weight status in this nationally representative sample of adolescents. Further, farm-to-school laws may be more effective in reducing obesity when combined with strong competitive food legislation.

OBJECTIVE: To examine the prevalence of various types of tobacco-free policies among a US national sample of postsecondary educational institutions (PEIs). PARTICIPANTS: A national sample of US PEIs (N=605) attended by the participants of the NEXT Generation Health Study. METHODS: Tobacco policies of these PEIs were reviewed to determine if they were e-cigarette-free (yes/no), hookah-free (yes/no), and ACHA-recommended tobacco-free (yes/no) in June-December 2017. Logistic regression models were used to examine the relationships between institutional characteristics and tobacco policies. RESULTS: Overall, 39.2%, 26.0%, and 20.0% of the sample adopted e-cigarette-free, hookah-free, and ACHA-recommended tobacco-free policies, respectively. Proprietary PEIs (vs. public) were less likely to have ACHA-recommended tobacco-free policies, while PEIs in the South and Midwest (vs. West) were more likely to have ACHA-recommended tobacco-free policies (p

Objectives. To examine the institutional characteristics associated with the adoption of tobacco- and smoke-free policies among US postsecondary educational institutions. Methods. In 2017, we collected information on tobacco policy types and institutional characteristics of a national sample of US postsecondary educational institutions (n = 605) attended by the participants of the NEXT Generation Health Study. We used logistic regression to examine the relationships between these variables. Results. Overall, 35.2% of these institutions adopted tobacco-free policies (i.e., prohibit all tobacco product use on campus), 10.1% had smoke-free policies (i.e., prohibit smoking but not other tobacco product use on campus), and 53.7% did not have tobacco- or smoke-free policies. Proprietary (privately owned, for-profit) institutions (vs public institutions) were the least likely to have tobacco- or smoke-free policies (P Conclusions. Prevalence of tobacco- and smoke-free policies among US postsecondary educational institutions is low. Public Health Implications. Wide dissemination of evidence-based interventions to accelerate adoption of tobacco-free policies in all postsecondary educational institutions is warranted.

Background Taxation and other policy measures have been implemented across the United States to curb the accessibility of substance use, especially among youth. While the inverse relationship between price and youth consumption is well known, available research on youth earned income and substance use is sparser, particularly among emerging adults. Objectives We examined the association between emerging adult past-year personal income and 30-day substance use. Methods We analyzed data from Wave 5 (n = 2,202) of the NEXT Generation Health Study, an annual survey study administered to a nationally representative sample of emerging adults in the U.S. Wave 5 (mean age = 20.28 years, SE = 0.02 years) was administered during the 2013-2014 academic year. After grouping participants into five levels of self-reported, pre-tax personal income, we used binomial logistic regression to examine the association between personal income and cigarette smoking, marijuana use, alcohol use, and heavy episodic drinking (HED). Results In unadjusted models, those at certain levels of higher past-year income were more likely to smoke cigarettes, consume alcohol, or engage in HED at least once in the past 30 days. Several associations remained significant after controlling for covariates. Most associations were no longer significant after including perceived peer norms as additional covariates. Personal income was not associated with 30-day marijuana use in unadjusted or adjusted models. Conclusions/Importance: Higher earned income may provide emerging adults greater economic access to cigarettes and alcohol, but the association might be partly attenuated by social factors, particularly perceived peer norms.

We examined the associations of autonomous motivation, controlled motivation, and physical activity (PA) planning with PA participation over six years across the adolescent-to-adult transition. Participants from the NEXT Generation Health Study, a nationally representative cohort study of U.S. 10(th) graders (N=2785), completed surveys yearly from 2010 to 2016 (four years post-high school). This study used data from Waves 2 (W2) through 7 (W7). Data were analyzed using growth models accounting for the complex survey design and controlling for sex, race/ethnicity, and body mass index. A piecewise growth model with two pieces (Piece 1: W2–W4; Piece 2: W4–W7) indicated that PA declined during late adolescence (W2–W4) (b=−0.31, β=−0.22, p

INTRODUCTION: Some of the most vulnerable groups of teens choose to delay driving licensure (DDL). We assessed longitudinal associations between state-level Graduated Driver Licensing (GDL) restrictions and DDL among U.S. high school students. METHODS: Data from seven waves of the NEXT Generation Health Study (starting 10(th)-grade (2009–2010)), were analyzed in 2020 using Poisson regression. The outcome was DDL (delay vs. no-delay). Independent variables were driving restrictions (at learner and intermediate phases of licensure), sex, race/ethnicity, family affluence, parent education, family structure, and urbanicity. RESULTS: Of 2525 eligible for licensure, 887 (38.9%), 1078 (30.4%), 560 (30.7%) reported DDL 1–2 years, >2 years, no DDL, respectively. Interactions between GDL restrictions during the learner permit period and covariates were found. In states requiring ≥30 hours of supervised practice driving, Latinos (Adjusted relative risk ratio [aRRR]=1.55, p

Background: The transition from high school into young adulthood is a critical developmental period with many young people going to college, moving residence, and entering the work force for the first time. The NEXT Generation Health Study (NEXT) is a nationally representative longitudinal study of adolescent health behaviors. Previous NEXT research has found that the post-high school environment is associated with changes in alcohol use. Objectives: The current study investigated the impact of school status, residential status, and work status on cannabis and cigarette use among post-high school participants. Results: Living in a dorm/fraternity/sorority was associated with an increased prevalence in cannabis use while attending a 4-year college was associated with a decreased prevalence in cigarette use. Conclusions: Some aspects of the post-high school environment are related to cannabis and cigarette use. Differences in the social circumstances of cigarette and cannabis use and recent campaigns in colleges to reduce smoking may explain some of these trends.

Background: Influences on diet quality during the transition from adolescence to adulthood are understudied.Objective: This study examined association of 3 diet-quality indicators-Healthy Eating Index-2010 (HEI), Whole Plant Foods Density (WPF), and Empty Calories (EC; the percentage of calories from discretionary solid fat, added sugar and alcohol)-with lifestyle behaviors, baseline weight status, and sociodemographic characteristics in US emerging adults.Design: Data come from the first 4 waves (annual assessments) of the NEXT Plus Study, a population-based cohort of 10th graders enrolled in 2010 (n = 566). At each assessment, participants completed 3 nonconsecutive 24-h diet recalls, wore accelerometers for 7 d, and self-reported meal practices and sedentary behaviors. Self-reported sociodemographic characteristics were ascertained at baseline. Generalized estimating equations examined associations of time-varying diet quality with baseline weight status and sociodemographic characteristics and time-varying lifestyle behaviors.Results: Diet quality improved modestly from baseline (mean ± SE: HEI, 44.07 ± 0.53; WPF, 1.24 ± 0.04; and EC, 35.66 ± 0.55) to wave 4 for WPF (1.44 ± 0.05, P < 0.001) and EC (33.47 ± 0.52, P < 0.001), but not HEI (45.22 ± 0.60). In longitudinal analyses, higher HEI and lower EC scores were observed in Hispanic compared with white participants. Better diet quality was associated with greater moderate-to-vigorous physical activity, more frequent breakfast and family meals, less frequent fast food and meals during television viewing, and shorter durations of television viewing, gaming, and online social networking. Diet-quality indicators were not consistently associated with time-varying physical inactivity, baseline weight status, or sociodemographic characteristics.Conclusions: Diet quality of emerging adults in the US remained suboptimal, but some aspects improved marginally over the 4-y study period. Meal contexts and sedentary behaviors may represent important intervention targets. There is substantial room for improvement in diet quality in all sociodemographic subgroups. This trial was registered at clinicaltrials.gov as NCT01031160.

The aim was to examine the moderation effect of driving licensure status on the association between different environmental contexts and transportation-related physical activity to and from school and/or work (TPA-SW) among emerging adults. The data were from Wave 4 (n = 2,026, year 2013) of the NEXT Generation Health Study, an annual assessment of a nationally representative cohort across the nine U.S. Census Divisions. The outcome variable, TPA-SW, was derived from walking or cycling as modes of travel to and from school and/or work. Environmental context variables included residence, college attendance, and work status. Driving licensure status indicated whether or not participants had an independent driver’s license. Poisson regression models, adjusted for potential confounders, were used to test interactions between environmental context and driving licensure. There were significant interactions between environmental context and licensure. Interaction contrasts indicated that participants who did not have a driver’s license engaged in more TPA-SW than their licensed counterparts if they were living at home (β = 1.10, p < 0.001), not attending school (β = 0.73, p < 0.001), attending a technical school/community college (β = 1.13, p < 0.001), working 1–30 hours/week (β = 0.69, p < 0.001), or working 30+ hours/week (β = 1.12, p < 0.001). Among nonworkers, those without a license engaged in less TPA-SW than participants with a license (β = − 0.22, p = 0.05). Among emerging adults in certain environmental contexts, delayed driver licensing may result in more physical activity with the possible tradeoff of less transportation mobility.

Purpose More teens delay in driving licensure (DDL). It is conceivable they miss Graduated Driver Licensing (GDL) safety benefits. We assessed prevalence, disparities, and factors associated with DDL among emerging adults. Methods Data used were from all seven waves (W1–7) of the NEXT Generation Health Study (W1 in 10th grade [2009–2010]). The outcome variable was DDL (long-DDL [delayed >2 years], intermediate-DDL [delayed 1–2 years] versus no-DDL), defined as participants receiving driver licensure ≥1 year after initial eligibility. Independent variables included sex, urbanicity, race/ethnicity, family structure, parental education, family affluence, parental monitoring knowledge, parent perceived importance of alcohol nonuse, and social media use. Logistic regressions were conducted. Results Of 2,525 participants eligible for licensure, 887 (38.9%) reported intermediate-DDL and 1,078 (30.1%) long-DDL. Latinos (adjusted odds ratio [AOR] = 2.5 vs. whites) and those with lower affluence (AOR = 2.5 vs. high) had higher odds of intermediate-DDL. Latinos (AOR = 4.5 vs. whites), blacks (AOR = 2.3 vs. whites), those with single parent (AOR = 1.7 vs. both biological parents), whose parents’ education was high school or less (AOR = 3.7 vs. bachelor+) and some college (AOR = 2.0 vs. bachelor+) levels, and those with lower affluence (AOR = 4.4 vs. high) had higher odds of long-DDL. Higher mother’s monitoring knowledge (AOR = .6) was associated with lower odds of long-DDL, but not intermediate-DDL. Conclusions Some teens that DDL “age out” of protections afforded to them by GDL driver restrictions. Minority race/ethnicity, socioeconomic status, urbanicity, and parenting factors contribute to DDL. Further study of these factors and their individual/collective contributions to DDL is needed to understand potential unintended consequences of GDL, particularly in more vulnerable youth.

To examine the associations of adolescent sexual orientation with cyber behaviors and health indicators 5 years later during young adulthood and test whether cyber behaviors contribute to sexual orientation health disparities. Data were drawn from Waves 2 and 7 from the NEXT Generational Health Study, a nationally representative cohort of U.S. adolescents (n = 2012). Multiple linear regressions were used to examine differences between sexual orientation subgroups (defined based on sexual attraction) in five cyber behaviors and five health indicators. Mediation analyses were conducted to examine whether cyber behaviors mediated the associations between bisexual attraction and health indicators. Relative to heterosexual peers, bisexual youth spent more time engaging in cyber behaviors and social media, and reported more psychosomatic symptoms and poorer general health. Gay and questioning males spent less time playing video games than heterosexual males. Bisexual females reported more depressive symptoms and less optimism and happiness than heterosexual females. Time spent on cyber behaviors and social media was a significant mediator of adolescent bisexual attraction and worse health outcomes in young adulthood. Frequency of cyber behaviors differed between sexual minority subgroups. Bisexual youth in particular had more psychosomatic symptoms and poorer general health. Engagement in cyber behaviors and social media use contributed to increased health disparities among bisexual youth.

Introduction Self-reported height and weight may lead to inaccurate estimates of associations between BMI and health indicators. The purpose of this study is to assess anthropometric misreporting in emerging adults, compare weight classification by self-reported and direct measures, and examine associations of self-reported and direct measures with cardiometabolic biomarkers. Methods Self-reported and directly measured height and weight were obtained in five waves of a nationally representative cohort study of U.S. tenth graders (n=2,785) conducted in 2010–2016; data were analyzed in 2018. Cardiometabolic biomarkers were assessed in three waves in a systematically recruited subsample (n=567). Pearson correlations (r) and Lin's concordance correlations (ρc) evaluated misreporting. Gwet agreement coefficient-1 evaluated weight classification agreement by self-reported and direct measures. Generalized estimating equations examined associations of cardiometabolic biomarkers with self-reported and direct measures. Results Participants overreported height by 1.0–1.7 cm and underestimated weight by 0.6–1.7 kg. Self-reported BMI was 0.6–1.0 lower than measured. Self-reported and measured height, weight, and BMI were strongly correlated (r=0.88–0.97, 0.86–0.98, and 0.65–0.96, respectively) and concordant (ρc=0.82–0.96, 0.94–0.97, and 0.65–0.95, respectively). Agreement of weight classification by self-reported and direct measures ranged from Gwet agreement coefficient-1=0.79–0.94. Associations of ten cardiometabolic biomarkers with self-reported BMI, measured BMI, and waist circumference were similar in magnitude, direction, and precision. Conclusions Self-reported and measured BMI were strongly correlated and concordant, providing substantial to near-perfect agreement in weight classification. Findings suggest self-reported BMI in U.S. emerging adults provides nearly identical estimates of associations with cardiometabolic biomarkers.

Background and aims A number of alcohol policies in the United States have been presumed to reduce underage youth drinking. This study characterized underage youth binge-drinking trajectories into early adulthood and tested associations with the strength of the alcohol policy environment, beer excise taxes and number of liquor stores. Design Longitudinal cohort study. Setting United States. Participants A national cohort of 10th graders in 2010 (n = 2753), assessed annually from 2010 to 2015. Measurements Participants reported on their 30-day binge drinking [defined as consuming five or more+ (for boys) or four or more (for girls) drinks within 2 hours]. We scored the strength of 19 state-level policies at baseline and summarized them into an overall score and two subdomain scores. We also assessed state beer excise taxes (dollars/gallon) and linked the number of liquor stores in 1 km to the participants' geocoded address. Findings We identified five binge-drinking trajectories: low-risk (32.9%), escalating (26.1%), late-onset (13.8%), chronic (15.1%) and decreasing (12.0%). Lower overall alcohol policy strength was associated with increased risk of being in the escalating versus low-risk binge-drinking class [relative risk ratio (RRR) = 1.44 per 1 standard deviation (SD) in policy score; 95% confidence interval (CI) = 1.17, 1.77)]. Higher beer excise taxes were associated with a reduced risk of being in the escalating class (RRR = 0.22 per 1-dollar increase; 95% CI = 0.09, 0.50). The number of liquor stores was not significantly associated with any binge-drinking trajectory. Conclusions In the United States, stronger state alcohol policies and higher beer excise taxes appear to be associated with lower risk of escalating alcohol consumption trajectories among underage youth.

BackgroundResidents of disadvantaged neighbourhoods report higher levels of depressive symptoms; however, few studies have employed prospective designs during adolescence, when depression tends to emerge. We examined associations of neighbourhood social fragmentation, income inequality and median household income with depressive symptoms in a nationally representative survey of adolescents.MethodsThe NEXT Generation Health Study enrolled 10th-grade students from 81 US high schools in the 2009–2010 school year. Depressive symptoms were assessed with the Modified Depression Scale (wave 1) and the paediatric Patient-Reported Outcome Measurement Information System (waves 2–6). Neighbourhood characteristics at waves 1, 3, 4, and 5 were measured at the census tract level using geolinked data from the American Community Survey 5-year estimates. We used linear mixed models to relate neighbourhood disadvantage to depressive symptoms controlling for neighbourhood and individual sociodemographic factors.ResultsNone of the models demonstrated evidence for associations of social fragmentation, income inequality or median household income with depressive symptoms.ConclusionDespite the prospective design, repeated measures and nationally representative sample, we detected no association between neighbourhood disadvantage and depressive symptoms. This association may not exist or may be too small to detect in a geographically dispersed sample. Given the public health significance of neighbourhood effects, future research should examine the developmental timing of neighbourhood effects across a wider range of ages than in the current sample, consider both objective and subjective measures of neighbourhood conditions, and use spatially informative techniques that account for conditions of nearby neighbourhoods.

The first year after high school is a transitional year, with increased independence from parental supervision, contact with other independent youth, and exposure to new environments, all of which may influence substance use. This article reports longitudinal predictors of change in the prevalence of alcohol use and heavy episodic drinking among adolescents and environmental correlates (i.e., residence, college attendance, and work status) with drinking the year after high school.A national sample of study participants (N = 2,659; 55% female) in the NEXT Generation Health Study were followed annually from 10th grade (Wave 1) to the year after high school (Wave 4). Longitudinal binary outcomes, including recent (30-day) drinking and two measures of heavy episodic drinking, were examined. Transition models with generalized estimating equations estimated the effect of previous drinking behaviors, social influences, and current residential status and activity (school and/or work) on drinking prevalence.Drinking increased from 40.5% among high school seniors (Wave 3) to 53.5% in Wave 4 for 30-day use, and from 29.0% to 41.2% for heavy episodic drinking. Significant predictors of 30-day drinking included previous drinking status (odds ratio [OR] = 5.48), peer drinking often (OR = 3.25), parental expectations (OR = 0.91), and current year living on campus (OR = 2.10). The same significant predictors with similar magnitudes were found for both measures of heavy episodic drinking. Peer use did not interact with college attendance or residence.Predictors of drinking and heavy episodic drinking during the first year after high school included being White, living on campus, previous drinking, lower parental expectations, and having peers who drink.

Introduction As a major determinant of obesity and cardiovascular disease in the United States, decreasing physical activity (PA) has led researchers to study factors influencing daily PA. One opportunity for modifying PA is in relation to transportation to and from school and/or work. We examined the association between characteristics of the built environment of home neighborhoods and transportation-related PA to school or work among youth and emerging adults. Methods The data were drawn from Waves 1 and 4 of the NEXT Generation Health Study (n = 2780), a nationally representative, longitudinal cohort study starting with 10th grade (Wave 1) in the 2009–2010 school year. Modes of travel to/from school were categorized into three groups: those using active transportation (walking/cycling), public transportation, and passive transportation (being driven or chauffeured/driving). Neighborhood characteristics included land use mix, street connectivity, residence density, park density, recreational density, and walkability. Multinomial logistic regressions and one-way ANOVAs were used to examine multivariate associations between modes of travel to and from work/school and neighborhood characteristics. Analysis accounted for complex survey features including stratification, clustering and sampling weights. Results After controlling for covariates (i.e., ethnicity, sex, education, and socioeconomic status), more land use diversity, street connectivity, residence density, and walkability were significantly correlated with active transportation in both waves and more park and recreational density were significantly correlated with active transportation in Wave 1, compared with passive transportation. Conclusions More mixed land use, greater connected streets as well as higher walkability and density of residence, parks and recreational facilities were associated with active transportation; suggesting city planning officials may consider creating more walkable and liveable communities to promote daily transportation-related PA.

INTRODUCTION: Sleep difficulties affect approximately 45% of adolescents and are associated with health consequences such as depression and obesity. Sleep duration immediately following high school is not well understood, especially for those not pursuing post-secondary education. We examined adolescent sleep insufficiency and its association with school and work status. METHODS: Data were collected in 2012 and 2013 as part of the NEXT Generation Health Study (NEXT), a nationally representative, longitudinal study of U.S. adolescents. Self-reported sleep was compared with guidelines for healthy sleep. RESULTS: On weekdays, 31% reported less than 7 hours of sleep; which reduced to 6% on weekends. Average weekday sleep was 7.4 hours and weekend sleep was 9.2 hours. Few results emerged from interaction analyses comparing different work and school statuses. CONCLUSIONS: This study captures sleep habits of adolescents one year after high school regardless of school and/or working status. Implications and future directions are discussed.

Purpose To examine associations between adolescent sexual minority status and developmental transitions in school, work, residence, and transportation 5 years later. Method We analyzed data from Waves 2 (Mean age = 17.2) and 7 (Mean age = 22.6) of the NEXT Generation Health Study (n = 2,000). Relative risks were estimated using Poisson regressions. Results Relative to heterosexual females, sexual minority females were more likely to report not attending school (relative risk [RR] = 1.27, 95% confidence interval [CI] = 1.02, 1.59), not anticipating college completion (RR = 1.60, 95% CI = 1.27, 2.01), and not having a driver's license (RR = 2.64, 95% CI 1.38, 5.05) at Wave 7. Relative to heterosexual males, sexual minority males were more likely to report living in three or more places in the past year (RR = 2.98, 95% CI = 1.31, 6.76). Conclusions Adolescent sexual minority status predicted worse educational outcomes among females and more unstable living environment among males.

BACKGROUND: Parent-child diet quality resemblance is unknown in families of youth with type 1 diabetes, for whom nutrition is central to disease management. OBJECTIVE: Examine diet quality resemblance in families of youth with type 1 diabetes participating in a behavioral nutrition intervention trial and investigate whether treatment assignment or family meal frequency modifies resemblance. DESIGN: This is a secondary data analysis from an 18-month randomized controlled trial conducted August 2010 – May 2013. PARTICIPANTS/SETTING: Parent-youth dyads (N=136, child age=12.3±2.5y) were recruited from a northeast U.S. diabetes center. MAIN OUTCOME MEASURES: Parent and child Healthy Eating Index-2005 (HEI-2005, reflecting adherence to 2005 Dietary Guidelines for Americans) and whole plant food density (WPFD, reflecting intervention target foods) were calculated from 3-day food records collected every 6 months. STATISTICAL ANALYSIS: Linear random effects models adjusting for demographics and disease characteristics investigated parent-child diet quality resemblance. Separate models examined whether treatment assignment or family meal frequency modified resemblance. Three-way interaction terms examined whether resemblance changed over time by treatment assignment. RESULTS: Time-varying parent and child HEI-2005 and WPFD were positively associated (p

INTRODUCTION: This study examined sexual orientation differences in eating behaviors, physical activity, and weight status among adolescents in the United States. Moreover, this study tested whether parental and peer influences contribute to sexual orientation disparities in adolescent eating behaviors, physical activity, Body Mass Index (BMI), and examined disparities in weight misperception. METHODS: Cross-sectional data were from 1926 adolescents who participated in the NEXT Generation Health Study in 2010/2011. Linear and multinomial logistic regressions conducted in 2017/2018 were used to test disparities and interactions with social influences. RESULTS: Relative to their heterosexual peers, sexual minority males and females consumed fruits and vegetables more frequently; sexual minority males engaged in less frequent physical activity; and sexual minority females were more likely to be overweight, perceive themselves as overweight, and to overestimate their weight. High parental expectation for physical activity was associated with more frequent vigorous physical activity among heterosexual adolescents, but less frequent vigorous physical activity among sexual minority males. Exercising with a same-sex peer buffered against the risk of higher BMI among sexual minority females. CONCLUSIONS: Parental and peer influences may serve as potential intervention targets to reduce disparities in weight-related behaviors. Longitudinal research is needed to understand the consequences of weight misperception among sexual minority females.

BACKGROUND: Descriptive norms are commonly associated with participant drinking. However, study participants may incorrectly perceive that their peers drink about the same amount as they do, which would bias estimates of drinking homogeneity. OBJECTIVES: This research examined the magnitude of associations between emerging adults’ reports of their own drinking and peer drinking measured the previous year by measures of (1) participants’ perceptions of friends’ drinking; and (2) actual drinking reported by nominated peers. METHODS: The data are from annual surveys conducted in 2014 and 2015, Waves 4 and 5 (the first two years after high school) of 7 annual assessments as part of the NEXT Generation Health Study (n=323). Associations of participant alcohol use with perceived friend use (five closest, closest male, and closest female friends), and with actual peer use. Logistic regression analyses estimated the magnitudes of prospective associations between each measure of peer drinking at W4 and participant drinking at W5. FINDINGS: Odds Ratios of associations between participants’ reports of drinking and heavy drinking in the past 30 days and the four different reports of peer norms and actual peer drinking behavior reported the previous year ranged from 2.3 (CI=1.2–4.7) to 3.1 (CI=1.5–6.3). The estimates for perceived norms were higher for male than female participants. CONCLUSIONS/IMPORTANCE: Associations with drinking among emerging adults of perceived friend norms were of similar magnitude to associations with actual peer drinking; although associations with perceived friend drinking were higher for males than females.

Introduction Some of the most vulnerable groups of teens choose to delay driving licensure (DDL). We assessed longitudinal associations between state-level Graduated Driver Licensing (GDL) restrictions and DDL among U.S. high school students. Methods Data from seven waves of the NEXT Generation Health Study (starting 10th-grade (2009–2010)), were analyzed in 2020 using Poisson regression. The outcome was DDL (delay vs. no-delay). Independent variables were driving restrictions (at learner and intermediate phases of licensure), sex, race/ethnicity, family affluence, parent education, family structure, and urbanicity. Results Of 2525 eligible for licensure, 887 (38.9%), 1078 (30.4%), 560 (30.7%) reported DDL 1–2 years, >2 years, no DDL, respectively. Interactions between GDL restrictions during the learner permit period and covariates were found. In states requiring ≥30 h of supervised practice driving, Latinos (Adjusted relative risk ratio [aRRR] = 1.55, p Conclusions Our findings heighten concerns about increased crash risk among older teens who age out of state GDL policies thereby circumventing driver safety related restrictions. Significant disparities in DDL exist among more vulnerable teens in states with stricter GDL driving restrictions.

Inadequate sleep and problematic drinking are prevalent among high school students and are significant public health issues. Inadequate sleep may contribute to alcohol use through impairments in emotion regulation or cognitive functioning, whereas alcohol use may lead to inadequate sleep through the biological effects of alcohol or social influences. However, the directionality of the associations between sleep and drinking variables remains unclear as most prior studies were cross-sectional. This study utilizes longitudinal data from the NEXT Generation Health Study to examine bidirectional associations between alcohol use and sleep adequacy in a nationally representative sample across 3 years of high school. Students reported usual bedtimes and waketimes for scheduled- and free-days, alcohol use, and heavy episodic drinking. Estimates of sleep duration, chronotype, and social jetlag were calculated. Cross-lagged autoregressive models revealed evidence of alcohol use predicting subsequent sleep duration and timing, and sleep timing predicting subsequent alcohol use. Specifically, previous-wave alcohol use predicted shorter free-day sleep duration and later chronotype at 11th and 12th grade, and more social jetlag at 12th grade; similar results were obtained for heavy episodic drinking. Eleventh grade social jetlag predicted subsequent year current alcohol use; eleventh grade chronotype and social jetlag predicted subsequent year heavy episodic drinking. Bidirectional findings suggest that alcohol use and sleep may reflect mutually reinforcing life style choices. Understanding these bidirectional associations could inform risk prevention interventions. Given the implications of poor sleep for adolescents, further research on possible social influences on the alcohol-sleep relations is merited. Clinical Trial Registration: NCT01031160.

Aims To evaluate the psychometric properties of the Diabetes Management Questionnaire, a brief, self-report measure of adherence to contemporary diabetes management for young people with Type 1 diabetes and their caregivers. Methods A total of 273 parent-child dyads completed parallel versions of the Diabetes Management Questionnaire. Eligible children (aged 8–18 years) had Type 1 diabetes for ≥1 year. A multidisciplinary team designed the Diabetes Management Questionnaire as a brief, self-administered measure of adherence to Type 1 diabetes management over the preceding month; higher scores reflect greater adherence. Psychometrics were evaluated for the entire sample and according to age of the child. Results The children (49% female) had a mean ± sd (range) age 13.3 ± 2.9 (8–18) years and their mean ± sd HbA1c was 71 ± 15 mmol/mol (8.6 ± 1.4%). Internal consistency was good for parents (α = 0.83) and children (α = 0.79). Test-retest reliability was excellent for parents (intraclass correlation coefficient =0.83) and good for children (intraclass correlation coefficient = 0.65). Parent and child scores had moderate agreement (intraclass correlation coefficient = 0.54). Diabetes Management Questionnaire scores were inversely associated with HbA1c (parents: r = –0.41, P

The presence of peer passengers increases teenage drivers' fatal crash risk. Distraction and social influence are the two main factors that have been associated with increased risk. Teen drivers' perceptions of their peer passengers on these factors could inform our understanding of the conditions under which peer passengers increase crash risk or promote safer driving. The purpose of this study was to examine teen drivers' perceptions of their peer passengers on distraction and social influence.A convenience sample of male and female drivers participated in a semi-structured interview that included questions on their perceptions of the effects of peer passengers on driving on distraction and social influence. The analysis of the interviews was guided by a grounded theory approach.Teenage drivers were aware of the risk that peer passengers posed. Some described having passengers in the vehicle as distracting, and recognized that the level of distraction increased with the number of passengers in the vehicle. Drivers that felt responsible for the safety of their peer passengers described strategies they used to control the in-vehicle environment. Drivers described driving with passengers as a performance, and articulated direct and indirect sources of pressure, gender norms, and unspoken expectations of their passengers as influencing their driving behavior.The influence of passengers is situation specific and dependent on whom the passenger(s) may be. Passenger influence may be either protective or harmful, depending on the circumstances. Some passengers exert direct influence, but often their influence appears more indirect and subtle.

Secondary task engagement such as cellphone use while driving is a common behavior among adolescents and emerging adults. Texting and other distracting cell phone use in this population contributes to the high rate of fatal car crashes. Peer engagement in similar risky driving behaviors, such as texting, could socially influence driver phone use behavior. The present study investigates the prospective association between peer and emerging adult texting while driving the first year after high school. Surveys were conducted with a national sample of emerging adults and their nominated peers. Binomial logistic regression analyses, adjusting for gender, race/ethnicity, parental education, and family affluence, showed that participants (n=212) with peers (n=675) who reported frequently texting while driving, were significantly more likely to text while driving the following year (odds ratio, 3.01; 95% CI, 1.19 to 7.59; P=0.05). The findings are consistent with the idea that peer texting behavior influences the prevalence of texting while driving among emerging adults.