BackgroundPast research examining the effects of childhood obesity has largely focused on its projected effects into adulthood. However, there is emerging evidence that childhood obesity may have more immediate effects on school-related outcomes. We examine a range of educational attainment indicators to examine the possible pathway between obesity status and academic performance, while investigating the proximal effects of childhood obesity on health and utilization of health services, and whether these variables attenuate the relationship between obesity status and educational outcomes.MethodsData for the current study come from the 2011-2012 National Survey of Children’s Health, which details the impacts of childhood obesity on a range of outcomes among a nationally representative sample of children and adolescents aged 10-17 years (N=45,255). Educational outcomes (school absences, school problems, repeating a grade and school engagement) were modeled by logistic regression as a function of BMI, overall health status, health care utilization, and a range of sociodemographic variables.ResultsBMI status was significantly associated with all educational outcomes (p<0.001 for all), overall health status (p<0.001), and health care utilization (p=0.016). Prior to adjustment for covariates, obese children were significantly more likely to have school absences and school problems, to repeat a grade, and to have lower school engagement than non-overweight children. After adjustment for sociodemographic and health/healthcare variables, these outcomes remained significant for all but repeating a grade. The odds of having school problems, repeating a grade, and low school engagement that were associated with obesity were attenuated by the addition of sociodemographic variables into the model, while the addition of health and health care variables in the model decreased the odds of school absences.ConclusionsThis study provides evidence that increased weight status in children is associated with poorer educational outcomes. While recognizing that these are cross-sectional data, we suggest that 1) health-related and sociodemographic factors should be a focus point of intervention, and 2) a socio-structural approach including Coordinated School Health intervention is crucial to reducing childhood obesity and improving educational outcomes in this population.
Susceptibility to cigarette smoking, defined as the lack of a firm commitment not to smoke in the future, begins in childhood and is a phase in the transition from never to ever use of cigarettes. While a consistent and validated predictor of cigarette use, little research has assessed whether the susceptibility construct applies equally well across other tobacco products. Baseline data were collected in 2014–2015 from a representative sample of (n = 2844) middle and high school students in five counties surrounding the four largest cities in Texas, (49% female and mean age 13.13 years, with subsequent waves at 6, 12, and 18 months. Confirmatory factor analysis examined the appropriateness of a three-item susceptibility measure (product-specific curiosity, intention to use, and peer influence) across product types and ethnic groups (Hispanic versus non-Hispanic). Logistic regression examined whether product specific susceptibility at baseline predicted future product initiation. At baseline, 11.5%, 17.0%, 17.4% and 29.4%, of adolescent never users were susceptible to cigars, cigarettes, hookah and e-cigarettes, respectively; significantly more Hispanic than non-Hispanic adolescents were susceptible to e-cigarettes (32.4% versus 26%, p < 0.01) and cigarettes (19.9% versus 13.9%, p < 0.05). Product-specific items were significantly and consistently associated with the respective underlying susceptibility product construct and across ethnic groups (p < 0.001 for all). Susceptibility to e-cigarettes (AOR = 2.28–6.64) or any combustible product (cigarettes, hookah, cigars; AOR = 3.38–5.20) significantly predicted subsequent ever use. This study confirms the appropriateness of the susceptibility construct across four tobacco product types and ethnic groups, and the utility of susceptibility in predicting future product use among adolescents.
The primary objective of this study was to identify risk factors associated with becoming susceptible to e-cigarette use over the course of a year among e-cigarette-naive adolescents considering a comprehensive model of risk factors (risk perceptions, social influences and norms, affective risk factors, and other behavioral risk factors). Data came from the Texas Adolescent Tobacco and Marketing Surveillance system (TATAMS), a longitudinal cohort study of students who were in the 6th, 8th, and 10th grades (n = 3907) during the 2014-2015 academic year. Weighted generalized linear mixed models assessed multiple predictors' associated with the transition to susceptibility to e-cigarettes at 12 months. Among 6th graders, family influence, use of other substances, and positive affect were important. Adolescents transitioning from 8th grade to high school presented the greatest number of risk factors (e.g., social and normative influences). Only sensation seeking increased the risk of susceptibility to e-cigarettes among 10th graders. Overall, by grade level, incidence of susceptibility to e-cigarettes at 12 months did not vary, but risk factor profiles varied substantially.
Regardless of generation, parent smoking behavior has a direct influence on offspring smoking behavior. The link between grandparent (G1) and grandchild (G3) smoking is mediated by parent (G2) smoking, suggesting that smoking behavior is passed from one generation to the next generation and in turn to the next generation.
Objective: The study aimed to examine nutrition label use and dietary behaviours among ethnically diverse middle-and high-school students, in Texas, USA. Design: The School Physical Activity and Nutrition (SPAN) survey is a cross-sectional statewide study using a self-administered questionnaire to assess nutrition and physical activity behaviours. Height and weight measurements were used to determine BMI. Multivariable logistic regression was used to determine associations between nutrition label use and dietary behaviours, with gender, grade, ethnicity, BMI, parent education, socio-economic status and nutrition knowledge as covariates. Setting: Participants from 283 schools, weighted to represent Texas youth. Subjects: SPAN 2009-2011 included 6716 8th and 11th graders (3465 girls and 3251 boys). The study population consisted of 39·83 % White/Other, 14·61 % AfricanAmerican and 45·56 % Hispanic adolescents; with a mean age of 14·9 years, and 61·95 % at a healthy weight, 15·71 % having overweight and 22·34 % having obesity. Results: Adolescents who did not use nutrition labels had 1·69 times greater odds of consuming ≥1 sugary beverages/d (P < 0·05). Adolescents who used nutrition labels had 2·13 times greater odds of consuming ≥1 fruits and vegetables/d (P < 0·05). Adolescents who used nutrition labels had significantly higher healthy eating scores than those who did not (P < 0·001). For every 1-point increase in nutrition knowledge, adolescents had 1·22 greater odds of using nutrition labels. Conclusions: Nutrition label use is associated with healthier dietary behaviours in adolescents. Intervention strategies for youth should include efforts to teach adolescents to use labels to make healthy food choices.
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