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The Age-Varying Association of Student Status with Excessive Alcohol Use: Ages 18 to 30 Years.

ABSTRACT: BACKGROUND:There is a well-known link between attending college and engaging in excessive alcohol use. This study examines in a national sample how the association between student status and excessive alcohol use changes from late adolescence through young adulthood and whether the association of student status with excessive alcohol use is different for students residing with versus away from parents during the school year. METHODS:This study used cross-sectional data from the National Epidemiologic Survey on Alcohol and Related Conditions, a nationally representative sample of noninstitutionalized civilian adults residing in the United States. Our analyses included nonhigh school young adults who were ages 18 to 30 years (n = 8,645). Excessive alcohol use included past-year (i) high-intensity drinking (men: ?10 standard drinks; women: ?8) and (ii) exceeding weekly drinking guidelines (men: >14 drinks per week; women: >7). Students who resided away from their parents and students who lived with their parents during the school year were compared to nonstudents. RESULTS:Analyses using time-varying effect modeling showed that the relationship of student status with excessive alcohol use varied as a function of age. Overall student status lost its association with excessive alcohol use in the early 20s, after controlling for demographics and other adult social roles. The association between student status and excessive alcohol use also varied considerably across age and depending on whether the student was residing with or away from parents. CONCLUSIONS:The association of student status with excessive alcohol use is heterogeneous in terms of both age and living arrangements, suggesting opportunities for interventions targeting problematic alcohol use. Future research should examine additional sources of heterogeneity of students in their risk for excessive alcohol use.

SUBMITTER: Evans-Polce RJ

PROVIDER: S-EPMC5272785 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

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The Age-Varying Association of Student Status with Excessive Alcohol Use: Ages 18 to 30 Years.

Evans-Polce Rebecca J RJ Maggs Jennifer L JL Staff Jeremy J Lanza Stephanie T ST

Alcoholism, clinical and experimental research 20161230 2

<h4>Background</h4>There is a well-known link between attending college and engaging in excessive alcohol use. This study examines in a national sample how the association between student status and excessive alcohol use changes from late adolescence through young adulthood and whether the association of student status with excessive alcohol use is different for students residing with versus away from parents during the school year.<h4>Methods</h4>This study used cross-sectional data from the Na ...[more]

PMID: 28039866

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Project description:BackgroundWe aimed to investigate the association between preterm birth and body composition at 6, 18, and 30 years of age using data from three population-based birth cohort studies.MethodsGestational age (GA), defined by the date of the last menstrual period (categorized in ≤33, 34-36, and ≥ 37 weeks), was gathered in the first 24-h after delivery for all live births occurring in the city of Pelotas, Brazil, in 2004, 1993 and 1982. Body composition was assessed by air-displacement plethysmography. Outcomes included fat mass (FM, kg), percent FM (%FM), FM index (FMI, kg/m2), fat-free mass (FFM, kg); percent FFM (%FFM), FFM index (FFMI, kg/m2), body mass index (BMI, kg/m2 at 18 years in the 1993 cohort and 30 years in the 1982 cohort), and BMI Z-score (at 6 years in the 2004 cohort). We further explored the association of birth weight for GA with body composition indicators and BMI. Crude and adjusted linear regressions provided beta coefficients with 95% confidence intervals (95%CI).ResultsA total of 3036, 3027, and 3369 participants, respectively, from the 2004, 1993, and 1982 cohorts were analyzed. At 6 years, preterm boys (born at 34-36 weeks) presented lower adjusted mean of FM (β = - 0.80 kg, - 1.45;-0.16, p = 0.046), %FM (β = - 2.39%, - 3.90;-0.88, p = 0.008), FMI (β = - 0.70 kg/m2, - 1.13;-0.27, p = 0.004) as well as lower FFM (β = - 0.4 kg, - 0.77; - 0.12, p = 0.010) and FFMI (β = - 0.3 kg/m2, - 0.46;-0.10, p < 0.001), and BMI Z-score (β = - 0.69,; - 0.99;-0.40, p < 0.001); but higher %FFM (β = 2.4%, 0.87;-3.90, p = 0.008), when compared to boys born at term (≥37). At 30 years, FM (15.7 kg, 0.25;31.1, p = 0.102) was higher among males born at ≤33 weeks. No association was observed for females from the three cohorts and for 18-year-old males. The association of birth weight for GA with body composition and BMI was not significant in any cohort. At 6 years, SGA boys had lower FFMI than boys AGA.ConclusionsOur results suggest that preterm birth is associated with decreased body fat and fat-free mass in childhood but higher fat mass in adulthood. Nevertheless, results were only significant for males. SGA boys also showed lower FFMI.

Project description:ImportanceUS adults born from 1965 to 1996 had high exposure to controlled medications, yet little is known about how this exposure has affected them over time. Prescription drug misuse (PDM) has increased among adults in the past 2 decades, with related increases in emergency department visits, overdoses, and deaths.ObjectivesTo identify 32-year PDM trajectories involving opioids, stimulants, and sedatives or tranquilizers and to examine associations between these PDM trajectories and substance use disorder (SUD) symptoms in adulthood as well as between baseline characteristics and PDM trajectories.Design, setting, and participantsThis cohort study included 11 cohorts of adolescents who were followed up longitudinally from age 18 years (study start, 1976-1986) to age 50 years (2008-2018) in the Monitoring the Future (MTF) study, which included a national multistage random sample of US 12th grade students. Baseline surveys (modal age 18) were self-administered in classrooms. Ten follow-ups were conducted by mail. Data analysis was conducted from December 2020 to October 2021.Main outcomes and measuresSociodemographic variables were measured at baseline. PDM and SUD symptoms were measured at baseline and every follow-up. Latent profile analysis (LPA) was used to create PDM trajectory profiles. Associations between these PDM trajectories, SUD symptoms, and baseline sociodemographic characteristics were examined.ResultsThe sample of 26 575 individuals was 50.8% (95% CI, 50.2%-51.4%) female and 79.3% (95% CI, 78.8%-79.8%) White. The baseline response rate ranged from 77% to 84%, and the 32-year retention rate was 53%. In adjusting for attrition, 45.7% (95% CI, 44.9%-46.4%) of the respondents reported past-year PDM at least once during the 32-year reporting period. Among those who reported PDM, the prevalence of poly-PDM was 40.3% (95% CI, 39.3%-41.3%). Based on LPA, the number of class-specific PDM trajectories ranged from 4 (prescription opioids) to 6 (prescription stimulants). For the class-combined analyses, we identified 8 PDM trajectories consisting of early peak trajectories (eg, age 18 years), later peak trajectories (eg, age 40 years), and a high-risk trajectory (eg, high frequency PDM at multiple ages). All PDM trajectories were associated with increased odds of developing SUD symptoms in middle adulthood, especially the later peak and high-risk trajectories compared with early peak trajectories (eg, peak at age 40 years: adjusted odds ratio [aOR], 5.17; 95% CI, 3.97-6.73; high-risk: aOR, 12.41; 95% CI, 8.47-18.24). Baseline characteristics associated with a high-risk trajectory were binge drinking (aOR, 1.69; 95% CI, 1.13-2.54), cigarette smoking (aOR, 2.30; 95% CI, 1.60-3.29), and marijuana use (aOR, 3.78; 95% CI, 2.38-6.01). More recent cohorts (eg, 1985-1986) had a higher risk of belonging to later peak PDM trajectories (ages 40 and 45 years) than the 1976-1978 cohort (age 40 years peak: aOR, 2.49; 95% CI, 1.69-3.68).Conclusions and relevanceIn this cohort study, adults with later peak PDM trajectories were at increased risk of SUD symptoms in middle adulthood. These findings suggest the need to screen for PDM and SUD from adolescence through middle adulthood.

Project description:ImportancePhysical activity may promote healthy brain development in children, but previous research was predominantly cross-sectional and included small samples, providing limited knowledge.ObjectiveTo investigate the longitudinal associations of physical activity with brain morphology changes.Design, setting, and participantsA 4-year longitudinal population-based cohort study in Rotterdam, the Netherlands, embedded in Generation R, a cohort from fetal life onward. From the women enrolled during pregnancy, children who had repeated measures of brain structure at ages 10 (range 8 to 12) years and 14 (range 13 to 15) years were included. Data were collected from March 2013 to November 2015 (baseline) and from October 2016 to January 2020 (follow-up). Data were analyzed from April to December 2022.ExposureAt age 10 years, both the child and their primary caregiver reported the child's levels of physical activity with regard to sport participation, outdoor play, and total physical activity. Primary analyses were based on an average multi-informant report.Main outcomes and measuresBrain morphology was quantified by magnetic resonance imaging. Hypothesized regions of interest were the bilateral amygdala and hippocampal volumes. Global brain measures were studied to test the specificity of the hypothesis.ResultsData were available for 1088 children (566 girls [52%]; 693 [64%] Dutch). Their mean (SD) age at baseline was 10.1 (0.6) years. For amygdala volume change, positive associations with multi-informant reports of total physical activity (β = 2.6; 95% CI, 0.3-4.9) were found. Total physical activity was associated with hippocampal volume increases only when reported by the child (β = 3.1; 95% CI, 0.4-5.8). No robust associations with global brain measures were found.Conclusions and relevanceIn this cohort study of 1088 children, more physical activity at 10 years was consistently associated with an increase in amygdala volume in children aged 10 to 14 years. Physical activity and increases in hippocampal volume were found using child reports of physical activity only. These findings suggest physical activity in late childhood was prospectively associated with volumetric changes in specific subcortical structures, but not to global brain development, from late childhood to early adolescence. These findings may inform the design of future public health interventions to best facilitate neurodevelopment with physical activity.

Dataset Information

The Age-Varying Association of Student Status with Excessive Alcohol Use: Ages 18 to 30 Years.

Publications

The Age-Varying Association of Student Status with Excessive Alcohol Use: Ages 18 to 30 Years.

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