Search Results

Methods: Data from the 1982 to 2012 waves of the 1979 National Longitudinal Survey of Youth were analyzed, spanning ages 14 to 56. Bivariate and discrete-time survival models were used to assess the relationships between ACE and RHB including smoking, alcohol use, and obesity, and subsequent onset of diabetes.

Conclusion: ACE predicted diabetes onset among women, though this relationship was attenuated when controlling for BMI. Being overweight or obese was significantly more common among women with a history of ACE, which suggests BMI may be on the pathway from ACE to diabetes onset for women.

Methods: Data from the U.S. National Longitudinal Survey of Youth, aged 14-21 years in 1979 and followed through 2012 (n=8,289), were analyzed in 2017-18 to estimate hypertension and heart problems onset from lifecourse drinking patterns. Discrete-time survival models stratified by sex and race/ethnicity, controlling for demographics and time-varying factors of employment, smoking, and obesity.

Results: Elevated risks for hypertension were found for women drinking >14 drinks/week regardless of any heavy drinking (AOR=1.57, p=0.023) and for men engaged in risky drinking (15-28 drinks/week) together with monthly heavy drinking (AOR=1.64, p=0.016). Having a history of weekly heavy drinking elevated the risk for women but not for men. No significant relationship was evident for alcohol and heart problems onset.

Methods: Data were from the National Longitudinal Survey of Youth 1979-Child/Young Adult Cohort which surveyed children born 1984-1999 and followed through 2016 (n=5,521). Outcomes included alcohol and cannabis use frequency at ages 15-18, and high school completion by age 19. ECA at ages 0-4 was a cumulative score of maternal heavy drinking/drug use, low emotional support, low cognitive stimulation, and household poverty. Multilevel path models were conducted with ECA, childhood mediators (behavioral ( externalizing and internalizing problems) and academics (reading and math scores), accounting for demographics and confounders.

Results: ECA was indirectly associated with adolescent cannabis frequency through mediators of externalizing/internalizing problems, low academics, and early cannabis onset before age 14. ECA was also indirectly associated with alcohol frequency via the same mediators, but not early alcohol onset. Greater behavioral problems elevated substance use risk; whereas, low academics reduced risk. Reciprocal effects were evident between childhood behavioral problems and cannabis frequency to high school completion.

Methods: Data on heavy drinking (6+ drinks/occasion) are from the 1979 National Longitudinal Survey of Youth (N = 9,468), collected between 1982 and 2012. Sex-stratified, generalized estimating equations (GEE) were used to model heavy drinking frequency trajectories as a function of age with a cubic curve, and interactions of race with age terms were tested to assess racial/ethnic differences. Models adjusted for time-varying socioeconomic status and marital and parenting status; predictors of trajectories were examined in race- and sex-specific models.

Results: White men and women had similarly steep declines in heavy drinking frequency throughout the 20s, contrasting with slower declines (and lower peaks) in Black and Hispanic men and women. During the 30s there was a Hispanic-White crossover in men's heavy drinking curves, and a Black-White female crossover among lifetime heavy drinkers; by age 51, racial/ethnic group trajectories converged in both sexes. Greater education was protective for all groups.

Results: Racial/ethnic differences in heavy drinking trajectories have changed over time in men and women. In the older NLSY cohort, Hispanic men and Black women surpassed White men's and women's heavy drinking frequency by age 31. This crossover was absent in the younger cohort, where trajectories of all racial-sex groups converged by age 31. Normative trajectories have changed in Hispanics and Whites of both sexes, with a delay in age of peak frequency, and greater levels of heavy drinking in the younger cohort of women.

Conclusion: Changes in heavy drinking trajectories over time suggest the need for targeted interventions during young adulthood. While disparities in young adult heavy drinking were no longer apparent in the more recent birth cohort, continued monitoring is important.