"From Scales to Systems: Multi-Level Determinants of the Body-Mind Burden in U.S. Children." Insights from the 2021-22, National Survey of Children’s Health (NSCH)
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The University of Arizona.Rights
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Release after 01/06/2027Abstract
Introduction: Childhood obesity has become a major public health challenge, receiving worldwide attention due to increasingly strong evidence linking it to high risks for mental health disorders such as depression and anxiety. While we are aware of associations at the individual level based on previous research, there is a limited understanding of how these health outcomes are influenced by relational, community and structural dimensions. Children's health is hypothesized to be influenced by a multi-level, interplay of factors, including interpersonal, community, and policy-level factors in a socio-ecological framework. This research employs this model to facilitate a comprehensive, multi-tiered analysis of how various moderators at different levels impact body weight and subsequent mental health outcomes among children aged 6 to 17 years in the United States. Through the simultaneous consideration of insights from multiple levels, all gathered in a unified dataset and analytic framework, the current research presents a new, integrative perspective on the nexus between mental health and body weight within complex social systems. Methods: We utilized cross-sectional data from the 2021–2022 National Survey of Children’s Health (NSCH) in a nationally representative sample of 40,820 children. The primary outcomes were lifetime diagnoses of depression and anxiety. Body Mass Index (BMI) was classified into underweight, normal weight, overweight, and obese. A series of survey-weighted logistic regression models were utilized to estimate the associations between BMI and mental health diagnoses, incorporating interaction terms to evaluate the moderating effects at three distinct levels. • Interpersonal Level: The variables included were exposure to bullying, ability to form friendships, mental health of parents, and family resilience. • Community Level: The community level moderators included neighbourhood safety, supportive environment, after-school activity, and community participation. • Policy Level: Insurance gaps, type and adequacy were included as moderators. All of the models were adjusted for age, sex, race/ethnicity, and federal poverty level. Stratified analyses were also conducted to explore effect modification further. Results: In all the models, obesity was significantly associated with increased odds of depression and anxiety. Obese children had 2.08 times higher odds of depression (Adjusted Odds Ratio( aOR) = 2.08, 95% Confidence Interval (CI): 1.64–2.64) and 1.48 times increased odds of anxiety (aOR = 1.48, 95% CI: 1.25–1.76) than children of normal weight. Interpersonal-Level Outcomes Obesity was significantly associated with higher odds of both depression and anxiety in children aged 6-17 years. Obese children had 2.08 times higher odds of depression (aOR 2.08; 95% CI: 1.64-2.64) and 1.48 times higher odds of anxiety (aOR 1.48; 95% CI: 1.25-1.76) compared to normal-weight peers. Significant moderating effects were observed for depression (adjusted for age, sex, race/ethnicity and poverty levels): never bullied (aOR = 2.12; 95% CI: 1.45-3.11), maternal mental health (aOR = 1.70; 95% CI: 1.70- 2.70), and paternal mental health (aOR = 2.54; 95% CI: 1.51-4.29). For anxiety, moderating effects were seen for making friends (aOR = 1.91; 95% CI: 1.13-3.22) and father’s mental health (aOR = 2.14; 95% CI: 1.34-3.41). Community-Level Observations Obesity was associated with higher odds of depression in both supportive (aOR=1.53, 95% CI: 1.16–2.02) and non-supportive (aOR=2.57, 95% CI: 1.81–3.65) neighbourhoods, though overlapping CIs indicate no statistically distinct difference. For anxiety, obesity was significant only in non-supportive environments (aOR=1.81, 95% CI: 1.39–2.35). Overweight showed weaker associations, and underweight was non-significant. After-school inactivity, volunteering, and neighbourhood safety were confounders without interactive effects. Policy-Level Results Children with obesity showed significantly higher odds of anxiety (aOR = 1.43, 95% CI: 1.18–1.72) and depression (aOR = 1.92, 95% CI: 1.52–2.43). There was a notable interaction between BMI and insurance consistency (p = 0.016) for anxiety. Among children with consistent insurance, those who were overweight (aOR = 1.59, 95% CI: 1.23–2.06) and obese (aOR = 2.12, 95% CI: 1.66–2.70) had increased anxiety risk, whereas children with coverage gaps had lower odds (aOR = 0.16, 95% CI: 0.04–0.67), indicating possible underdiagnosis. Insurance adequacy was also significant: children with “usually” adequate coverage had 56% higher odds of depression (aOR = 1.58, 95% CI: 1.28–1.96), and those with “sometimes/never” adequate coverage had more than double the odds (aOR = 2.63, 95% CI: 2.11–3.29). Conclusions: These findings strongly maintain the argument that the psychological well-being among children with obesity is influenced by a multifactorial interaction among various social determinants, rather than a primarily biological or behavioral determinants. This demonstrates that the link between mental health and childhood obesity largely depends on the environments in which children are cared for, learn, and live. Findings are in support of a multi-level understanding, as well as a multi-level intervention in, the condition of syndemic mental health disorder and child obesity. Interpersonal processes bullying, friendship difficulties, and parental mental health have immediate effects on the psychological burden of obesity. These emphasize the need to strengthen the support systems of peer groups and families, as well as to introduce parent-centred features in treatment. Neighbourhood environments are central, with the support of the neighbourhood significantly buffering the risk of obesity. These findings suggest that place-centred initiatives—such as promoting strong, safe, and cohesive communities and easily accessible extracurricular experiences could be crucial safeguards against psychological distress. Insurance consistency, one of the structural factors of health, was a strong moderator of depression and anxiety. Varying or inadequate insurance not only can hinder treatment, but can also result in loss of diagnosis, consequently delaying proper intervention. For that reason, the importance of advocating policies that offer sustained, complete mental health coverage for children—most importantly, children with chronic conditions such as obesity—takes centre stage. In short, treating childhood obesity in isolation will not suffice. An integrative model that simultaneously concentrates on interpersonal relations, community arrangements, and the introduction of new policies can prevent the transgenerational and systemic circuits between affective well-being and body weight. Multidomain intervention can provide early detection, equal treatment, and improved prognosis in at-risk children.Type
textElectronic Dissertation
Degree Name
D.P.H.Degree Level
doctoralDegree Program
Graduate CollegePublic Health