Adverse Childhood Experiences May Dampen the Protective Role of Sleep Duration on Adolescent Obesity Risk.
Lauren B CovingtonXiaopeng JiJaneese A BrownlowMing JiFreda PattersonPublished in: Journal of community health (2024)
The purpose of this study was to explore Adverse Childhood Experiences (ACEs) as a moderator between sleep duration/irregularity and overweight/obesity in U.S. adolescents. Using the National Survey of Children's Health 2017-2018 cross-sectional dataset, we included adolescents with available sleep and Body Mass Index (BMI) data. In a sample of 24,100 adolescents (mean age = 13.56 years, 49.35% female; 51% White), parents reported adolescent's sleep duration/irregularity, and number of ACEs. Logistic regression estimated the interaction between sleep duration/irregularity and the number of ACEs on overweight/obesity risk (BMI ≥ 85th percentile-for-age) using a stepwise approach and accounting for complex survey design. In the 24,100 adolescents, 33% were overweight/obese, 50% had ≥ 1 ACE, 37% slept < 8-10 h/night, and 14% had irregular sleep. Accounting for covariates and ACEs, every hour increase in sleep duration was associated with 6% decrease in overweight/obesity odds. There was a significant interaction between sleep duration and ACEs; the association between increasing sleep duration and decreasing odds of overweight/obesity was significant only in adolescents without ACEs (OR = 0.87, 95% CI [0.80, 0.95], p < 0.001). Increasing sleep duration is a recognized intervention target to decrease obesity risk, yet in adolescents experiencing ≥ 1 ACE, this protective role may be dampened. Future work may explore mechanisms for overweight/obesity development to inform interventions for adolescents facing adversity.
Keyphrases
- weight loss
- weight gain
- young adults
- physical activity
- body mass index
- metabolic syndrome
- insulin resistance
- bariatric surgery
- type diabetes
- high fat diet induced
- mental health
- childhood cancer
- adipose tissue
- blood pressure
- randomized controlled trial
- emergency department
- public health
- healthcare
- angiotensin ii
- machine learning
- depressive symptoms
- artificial intelligence
- big data
- climate change
- adverse drug
- angiotensin converting enzyme