Weighing the Risk: Developmental Pathways and Processes Underlying Obesity to Substance Use in Adolescence

Assessing how alcohol use patterns relate to obesity among American adolescents from rural and urban areas: Five years of pooled data

BACKGROUND

Obesity is associated with locality and alcohol use; however, less is known about how the interaction of these two factors may compound the risk of obesity among adolescents.

OBJECTIVES

This study examines the relationship between alcohol use and obesity among adolescents from rural and urban areas in the United States.

METHODS

Data came from a sample of American adolescents aged 12-17 years from the National Survey on Drug Use and Health (2015-2019; n = 39,489). Obesity was regressed on age, sex, race/ethnicity, income, cigarette smoking, locality, and alcohol use, with an interaction term to examine locality x alcohol use. Predicted probabilities were plotted to assess the interaction.

RESULTS

Compared to adolescents from urban areas, those from rural areas had 1.35 times higher odds of being obese (95% CI 1.25, 1.47). Predicted probabilities indicated that the probability of being obese was higher for rural adolescents at lower levels of drinking, up to about 40 drinks in the past 12 months.

CONCLUSIONS

Findings suggest rural-urban differences at the intersection of alcohol use and obesity could depend on the frequency of use, but overall adolescents from rural areas may be more at risk.

Trajectories of body mass index and combustible and electronic cigarette use across adolescence: Findings from the PATH study

PURPOSE

Associations between empirically-generated body mass index (BMI) trajectories and risk of current use of combustible cigarettes and e-cigarettes across adolescence were examined using longitudinal data from the Population Assessment of Tobacco and Health (PATH) study.

METHODS

The PATH study is an ongoing annual longitudinal population-based study of adolescents. We utilized Waves 1-4 conducted from 2013 to 2017. Adolescents completed self-reported surveys of their height, weight, and current tobacco use at Waves 1-4 and their tobacco weight control beliefs at Waves 1-2.

RESULTS

Using latent growth mixture modeling, six trajectories of BMI were identified. The largest group ("normal weight increasing;" n = 4,858; 86.6 %), which was used as the comparator in subsequent analyses, consisted of adolescents ages 12-17 who were normal weight at Wave 1 with a significant increase in BMI across Waves 2--4. The "overweight early increasing," "overweight late increasing," and "obesity stable" classes had greater likelihood of current combustible cigarette use during the study compared to the "normal weight increasing class." The "overweight early increasing," "overweight late increasing," and "overweight increasing then decreasing" classes showed elevated risk for e-cigarette use during the study. Compared to those in the "normal weight increasing" class, those in the "overweight increasing then decreasing" and "obesity stable" classes had greater weight control beliefs at Wave 1 and those in the "obesity stable" class had greater weight control beliefs at Wave 2.

CONCLUSIONS

Findings highlight the importance of weight trajectories and weight control beliefs by tobacco product use across adolescence and the need for mechanistic and intervention research.

Psychosocial and environmental risk factors of obesity and hypertension in children and adolescents-a literature overview

Childhood obesity has become a worldwide epidemic in the 21st century. Its treatment is challenging and often ineffective, among others due to complex, often not obvious causes. Awareness of the existence and meaning of psychosocial and environmental risk factors seems to be an essential element in the prevention and treatment of obesity and its complications, especially arterial hypertension. In this review, we will discuss the role of that risk factors linking obesity and increased cardiovascular disorders including the role of nutritional factors (including the role of unhealthy diet, inadequate hydration), unhealthy behaviors (e.g. smoking, alcohol and drugs, sedentary behavior, low physical activity, disrupted circadian rhythms, sleep disorders, screen exposure), unfavorable social factors (such as dysfunctional family, bullying, chronic stress, mood disorders, depression, urbanization, noise, and environmental pollution), and finally differences in cardiovascular risk in girls and boys.

Sleep quality, physical activity, screen time, and substance use in children with obesity: associations with obstructive sleep apnea

STUDY OBJECTIVES

The association between obstructive sleep apnea (OSA) and lifestyle habits in children with obesity is largely unknown. This study aimed to determine whether there was an association between lifestyle patterns (sleep quality, physical activity, recreational screen time, and substance use) and OSA presence and severity in children with obesity.

METHODS

This cross-sectional study recruited children with obesity, aged 8-17 years, who were referred to undergo polysomnography. Children completed questionnaires on sleep quality, physical activity, recreational screen time, and substance use. Children also had a diagnostic polysomnography. The association between questionnaire scores and OSA severity, after adjusting for body mass index z-score, age, and sex, was evaluated using negative binomial multiple regression. Correlations were conducted between sleep quality, physical activity, screen time, substance use, and OSA severity.

RESULTS

A total of 100 children were included in the analysis (mean age: 14.3 ± 2.6 years; 44% female; mean body mass index z-score: 2.5 ± 0.4; 65% with OSA). In the adjusted regression analysis, each additional substance-use behavior was associated with a 17% (95% confidence interval: 1%, 36%) increase in OSA severity. Correlations were identified between poorer sleep quality and lower physical activity (r = -.42), poorer sleep quality and more substance-use behaviors (r = .40), and greater physical activity and less substance-use behaviors (r = -.26).

CONCLUSIONS

In children with obesity, more substance-use behaviors were independently associated with greater OSA severity. As there are complex, bidirectional relationships between lifestyle behaviors and OSA severity, interventions need to be comprehensive and multifactorial to ensure successful treatment of OSA and its sequelae in children.

CITATION

Blinder H, Narang I, Chaput J-P, Katz SL; on behalf of the Canadian Sleep and Circadian Network. Sleep quality, physical activity, screen time, and substance use in children with obesity: associations with obstructive sleep apnea. J Clin Sleep Med. 2023;19(3):511-518.