{Reference Type}: Journal Article
{Title}: Socioecologic Factors Associated With Obesity in Adolescents With Epilepsy in the United States.
{Author}: Buro AW;Sauls R;Salinas-Miranda A;Kirby RS;
{Journal}: J Child Neurol
{Volume}: 38
{Issue}: 10
{Year}: 2023 10 3
{Factor}: 2.363
{DOI}: 10.1177/08830738231203761
{Abstract}: Obesity among youth with epilepsy has multifactorial etiology, yet socioecologic obesity risk factors (eg, neighborhood factors) have not been examined in this population. This study examined (1) the prevalence of obesity adjusting for relevant covariates and (2) socioecologic correlates of obesity in adolescents with epilepsy aged 10-17 years.<BR>This cross-sectional study used 2017-2018 National Survey of Children's Health data (total n = 27,094; epilepsy n = 184). Chi-square tests compared weighted prevalence of obesity with relevant covariates among all adolescents and adolescents with epilepsy. Weighted multiple logistic regression models were conducted to adjust for covariates.<BR>The prevalence of obesity in adolescents with epilepsy was 27.8% (95% confidence interval [CI] 15.4%-40.3%) vs 15.1% (95% CI 14.1%-16.2%) for the non-epilepsy group. Adolescents with epilepsy also had higher odds of obesity after adjusting for age, gender, race/ethnicity, household income, physical activity, and medical home (odds ratio [OR] 2.1, 95% CI 1.2-3.8). Adjusting for sociodemographics, anxiety (OR 4.5, 95% CI 1.3-15.6), 2 or more adverse childhood experiences (OR 7.3, 95% CI 1.6-33.4), neighborhood detracting elements (eg, OR 5.2, 95% CI 1.5-18.5 for 1 detracting element), and forgone care (ie, unmet health care needs) (OR 22.4, 95% CI 3.8-132.8) were associated with obesity in adolescents with epilepsy. Adjusting for multiple comparisons, neighborhood detracting elements (P < .0001) and forgone care (P < .0007) remained significant.<BR>Variables related to mental health, family functioning, built environment, and forgone care were associated with obesity in adolescents with epilepsy, but the association was not fully explained by these factors. Obesity interventions for this population should consider multiple levels of influence including the community and special health care needs of this population.