Dietary disparities among adolescents according to individual and school socioeconomic status: a multilevel analysis.

This study aimed to estimate disparities in dietary habits according to the individual and contextual socioeconomic status (SES), while taking into account school nutrition-related characteristics. Data came from the 2018 cross-sectional "Health Behaviour in School-aged Children" (HBSC) survey. Multilevel multiple logistic regressions were performed. Over two-thirds of the observed variance was explained by individual and school characteristics, with SES being the main contributors. For example, 76.9% of the variance in daily sugar-sweetened beverage (SSB) intake was explained by individual and school characteristics. Adolescents of a secondary or lower parental education level were more likely to consume SSB daily than those of a post-secondary level (aOR = 1.46 (1.29-1.66)). Compared to those in a high SES school, the odds to consume SSB daily was higher for adolescents in low SES schools (aOR = 2.37(1.90-2.96)). These findings support the need for schools to pursue a consistent nutrition policy, with an increased support in low socioeconomic populations.

Weekday sleep duration and morning tiredness are independent covariates of breakfast skipping in adolescents.

BACKGROUND/OBJECTIVES: Although regular breakfast consumption is associated with various health benefits, many adolescents skip this meal, particularly those with shorter sleep durations. In order to better understand the association between sleep duration and breakfast consumption among youth, we analyzed the association between weekday morning tiredness and daily breakfast consumption in adolescents, and explored the mediating role of morning tiredness in the association between sleep duration and daily breakfast consumption on weekdays. SUBJECTS/METHODS: The "Health Behaviour in School-aged Children" survey conducted in 2018 in French-speaking Belgian schools provided data (n = 8444 11-20-year-old adolescents) on bed- and wake-up times, and on the frequency of breakfast consumption and morning tiredness on weekdays. Multivariable logistic regressions and mediation analyses assessed the association, on weekdays, of morning tiredness (≥4 school mornings a week vs. less) and sleep duration (hours), with daily breakfast consumption, and the mediating role of morning tiredness. RESULTS: Feeling tired ≥4 school mornings a week was associated with lower odds of daily breakfast consumption on weekdays (aOR = 0.77 (95% CI 0.69-0.86)). In turn, on weekdays, sleep duration was positively associated with daily breakfast consumption (aOR = 1.29 (95% CI 1.23-1.36)), even after adjustment for morning tiredness (aOR = 1.28 (95% CI 1.21-1.35)). Morning tiredness only explained 4.9% of the association between sleep duration and daily breakfast consumption. CONCLUSION: Our findings suggest that in adolescents, sleep duration and morning tiredness are independent correlates of daily breakfast consumption on weekdays.

Alcohol consumption in early adolescence: Associations with sociodemographic and psychosocial factors according to gender.

INTRODUCTION: Early alcohol consumption can irreversible damage the adolescents' brain and may affect their quality of life. In order to better prevent such a deleterious behaviour, knowing its determinants is needed. So far, only few studies among adolescents aged <15 years exist, of which the majority failed to include gender differences. Therefore, the aim of this study was to investigate whether gender differences in the association between alcohol use and sociodemographic and psychosocial characteristics among 10-14-year olds exist. METHODS: Data came from the 2018 Health Behaviour in School-Aged Children (HBSC) study conducted in French-speaking schools of Belgium. The sample analysed here comprised 4,364 10-14-year olds from the Walloon Region. Associations of the recent alcohol consumption (at least one glass during the past month) with sociodemographic and psychosocial characteristics were estimated using gender-stratified multivariable logistic regression modelling. RESULTS: Prevalence of early alcohol consumption was 14% (boys: 16%; girls: 12%). Migration status and family affluence scale (FAS) were associated with early alcohol consumption only in boys. Second-generation immigrant boys (vs. natives: OR = 0.66 [0.47-0.92]) and boys from "low" FAS families (vs. "high": OR = 0.56 [0.32-0.98]) or "medium" FAS (vs. "high": OR = 0.63 [0.43-0.92]) were less likely to have consumed alcohol in the past month. In both genders, alcohol consumption was positively associated with age and inversely associated with school satisfaction and family support. No association was observed with family structure, peer support and life satisfaction in the multivariable models. CONCLUSION: Our findings showed that gender differences may exist in the determinants of alcohol consumption among young adolescents. They will contribute to the development of public health policies and actions for the most vulnerable adolescents, which should take gender differences into account.