Alexander J Rice1,2,3, Natasha A Schvey4,5, Lisa M Shank1,2,3,4,5, M K Higgins Neyland1,2,3, Jason M Lavender1,2,3, Senait Solomon2,4,6, Kathrin Hennigan1,2,3, Rachel Schindler1,2,3, Tracy Sbrocco4, Sarah Jorgensen7, Mark Stephens8, Mark Haigney1,2, David A Klein9,10, Jeffrey Quinlan9, Jack A Yanovski5, Marian Tanofsky-Kraff1,2,4,5. 1. Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. 2. Military Cardiovascular Outcomes Research (MiCOR) Program, Uniformed Services University, Bethesda, MD, USA. 3. Metis Foundation, San Antonio, TX, USA. 4. Department of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD, USA. 5. Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, DHHS, Bethesda, MD, USA. 6. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, MD, USA. 7. Fort Belvoir Community Hospital, Fort Belvoir, VA, USA. 8. Pennsylvania State University, Old Main, State College, PA, USA. 9. Department of Family Medicine, Uniformed Services University, Bethesda, MD, USA. 10. Department of Pediatrics, Uniformed Services University, Bethesda, MD, USA.
Abstract
Background: Among adults, weight stigma is associated with markers of poor cardiometabolic health. Although weight-based teasing (WBT) is common among youth with high body weight, few studies have examined its associations with cardiometabolic markers. Owing to unique stressors (e.g., parental deployment and frequent moves), military-dependent youth may be at particularly high risk for obesity, WBT, and poor cardiometabolic health. We, therefore, assessed associations between WBT and cardiometabolic health markers among adolescent military dependents presenting for a weight gain prevention trial. Methods: Participants underwent fasting phlebotomy; had fasting weight, height, and waist circumference measured; and completed assessments of WBT, anxiety, and loss-of-control eating. Multivariate analysis of covariance, adjusting for relevant covariates including demographics and body composition, was used to examine differences in metabolic syndrome (MetS) components (waist circumference, systolic and diastolic blood pressure, high-density lipoprotein cholesterol, triglycerides, and glucose) between youth reporting WBT and youth reporting no WBT. Bootstrapped models examined whether WBT mediated the relationship between BMIz and MetS components. Results: Data from 142 youth (57.7% female; 14.4 ± 1.6 years; 51.2% non-Hispanic White, 20.9% non-Hispanic Black; BMIz: 1.9 ± 0.4) were analyzed. WBT was not significantly associated with any MetS component. Relationships were observed between BMIz and all MetS components (except systolic blood pressure and glucose), although WBT did not significantly mediate these relationships (p's > 0.05). Conclusions: This study did not find support for a relationship between WBT and MetS components in adolescent military dependents at risk for adult obesity. Prospective research is needed to determine whether associations between WBT and adverse cardiometabolic outcomes emerge primarily in adulthood.
Background: Among adults, weight stigma is associated with markers of poor cardiometabolic health. Although weight-based teasing (WBT) is common among youth with high body weight, few studies have examined its associations with cardiometabolic markers. Owing to unique stressors (e.g., parental deployment and frequent moves), military-dependent youth may be at particularly high risk for obesity, WBT, and poor cardiometabolic health. We, therefore, assessed associations between WBT and cardiometabolic health markers among adolescent military dependents presenting for a weight gain prevention trial. Methods: Participants underwent fasting phlebotomy; had fasting weight, height, and waist circumference measured; and completed assessments of WBT, anxiety, and loss-of-control eating. Multivariate analysis of covariance, adjusting for relevant covariates including demographics and body composition, was used to examine differences in metabolic syndrome (MetS) components (waist circumference, systolic and diastolic blood pressure, high-density lipoprotein cholesterol, triglycerides, and glucose) between youth reporting WBT and youth reporting no WBT. Bootstrapped models examined whether WBT mediated the relationship between BMIz and MetS components. Results: Data from 142 youth (57.7% female; 14.4 ± 1.6 years; 51.2% non-Hispanic White, 20.9% non-Hispanic Black; BMIz: 1.9 ± 0.4) were analyzed. WBT was not significantly associated with any MetS component. Relationships were observed between BMIz and all MetS components (except systolic blood pressure and glucose), although WBT did not significantly mediate these relationships (p's > 0.05). Conclusions: This study did not find support for a relationship between WBT and MetS components in adolescent military dependents at risk for adult obesity. Prospective research is needed to determine whether associations between WBT and adverse cardiometabolic outcomes emerge primarily in adulthood.
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