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February 2, 2026Journal of Child and Adolescent Psychopharmacology0 citations

Sex-Specific Effects of Relative Fat Mass on Attention-Deficit/Hyperactivity Disorder: Insights from the 1999–2004 National Health and Nutrition Examination Survey

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SBSitong BiHLHuijing LiXXXinyang Xu

Key Points

  • The study aims to explore the association between relative fat mass and attention-deficit/hyperactivity disorder while focusing on sex-specific differences.
  • Analyzed data from the 1999–2004 National Health and Nutrition Examination Survey involving 5089 children aged 6–14 years.
  • Calculated relative fat mass using height and waist circumference.
  • Defined ADHD based on physician diagnosis from questionnaires.
  • Applied multivariable logistic regression models to assess association between RFM and ADHD.
  • Conducted smooth curve fitting and subgroup analyses for boys and girls.
  • A significant inverse association between RFM and ADHD was found in boys (OR = 0.967).
  • A positive association was observed in girls (OR = 1.043).
  • Smooth curve fitting confirmed the opposite linear trends in both sexes.
  • Subgroup analyses showed consistent sex-specific patterns across various demographics.

Abstract

Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in childhood. Conventional adiposity indicators have been linked to ADHD. Relative fat mass (RFM), a novel adiposity measure, has demonstrated advantages in predicting metabolic and cardiovascular disease risk, conditions that share overlapping pathophysiological mechanisms with ADHD. This study aimed to investigate the association between RFM and ADHD, with a particular focus on sex-specific differences. Methods: Data were obtained from the 1999–2004 National Health and Nutrition Examination Survey, including 5089 children aged 6–14 years. RFM was calculated using height and waist circumference, and ADHD was defined based on physician diagnosis reported in the questionnaire. Multivariable logistic regression models were applied to assess the association between RFM and ADHD. Smooth curve fitting was conducted to validate the results, and subgroup analyses were performed separately for boys and girls. Results: A significant sex-specific association between RFM and ADHD was observed. Among boys, higher RFM levels were inversely associated with ADHD (Model 3: odds ratio OR = 0.967, 95% confidence interval CI: 0.946–0.989), whereas among girls, higher RFM levels were positively associated with ADHD (Model 3: OR = 1.043, 95% CI: 1.007–1.081). Smooth curve fitting confirmed these opposite linear trends in both sexes. Subgroup analyses further demonstrated that this sex-specific pattern was consistent across strata defined by age, health insurance status, maternal smoking during pregnancy, and birth weight. Conclusions: There is a significant sex-specific association between RFM and ADHD, showing an inverse relationship in boys and a positive association in girls. These findings suggest that the influence of adiposity distribution on ADHD differs by sex, highlighting the importance of considering sex differences when evaluating risk factors for ADHD.

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Cite This Study

Bi et al. (2026) studied this question.

synapsesocial.com/papers/6980fc17c1c9540dea80dd97https://doi.org/10.1177/10445463261416680
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