Independent and combined influence of healthy lifestyle factors on academic performance in adolescents: DADOS Study

BACKGROUND. Few studies have analyzed the combined effect of lifestyle factors on academic performance (AP) in adolescents. The aim of this study was to analyze the independent and combined effects of weight status, screen time, sleep quality, daily meal frequency, cardiorespiratory fitness and physical activity (PA) on AP in adolescents. METHODS. A total of 262 adolescents (13.9±0.3 years) from the DADOS study were included in the analysis. Weight status was assessed through body mass index (kg/m 2 ). Participants completed questionnaires to evaluate screen time, sleep quality and daily meal frequency. Cardiorespiratory fitness was assessed by the 20-m shuttle run test. PA was evaluated by a wrist-worn GENEActiv accelerometer. AP was assessed through the final academic grades and a validated questionnaire. RESULTS. Non-overweight status, low screen time, good sleep quality and proper meal frequency showed independent, positive influence on AP. Moreover, adolescents achieving at least 3 healthy lifestyles were more likely to be in the high-performance group for academic grades than those achieving ≤ 1 (math OR: 3.02-9.51, language OR: 3.51-6.76 and grade point average OR: 4.22-9.36). CONCLUSIONS. Although individual healthy lifestyles are independently and positively associated with AP, the cumulative effect of multiple healthy lifestyles have a stronger impact

Childhood family wealth and mental health in a national cohort of young adults

Purpose: Mental health is critical to young adult health, as the onset of 75% of psychiatric disorders occurs by age 24 and psychiatric disorders early in life predict later behavioral health problems. Wealth may serve as a buffer against economic stressors. Family wealth may be particularly relevant for young adults by providing them with economic resources as they make educational decisions and move towards financial and social independence. Methods: We used prospectively collected data from 2060 young adults aged 18–27 in 2005–2011 from the Panel Study of Income Dynamics, a national cohort of US families. We examined associations between nonspecific psychological distress (measured with the K-6 scale) and childhood average household wealth during ages 0–18 years (net worth in 2010 dollars). Results: In demographics-adjusted generalized estimating equation models, higher childhood wealth percentile was related to a lower prevalence of serious psychological distress: compared to lowest-quartile wealth, prevalence ratio (PR)=0.52 (0.32–0.85) for 3rd quartile and PR=0.41 (0.24–0.68) for 4th quartile. The associations were attenuated slightly by adjustment for parent education and more so by adjustment for childhood household income percentile. Conclusions: Understanding the lifelong processes through which distinct aspects of socioeconomic status affect mental health can help us identify high-risk populations and take steps to minimize future disparities in mental illness. Keywords: USA, Mental health, Health disparities, Socioeconomic status, Young adults, Life course, Wealth, Multigenerationa