Biomarker Profiles of Depression During Young Adulthood: Results From the National Health and Nutrition Examination Survey

J Adolesc Health. 2024 May;74(5):950-957. doi: 10.1016/j.jadohealth.2023.12.026. Epub 2024 Feb 9.

Abstract

Purpose: Cumulative "wear and tear" on physiological systems (allostatic load) may contribute to risk for depression, but there is limited research on allostatic load during young adulthood, which is a peak developmental period for depression onset. This study evaluates profiles of allostatic load and their association with depression in young adults.

Methods: Biomarker and depression data were extracted for 18-24-year-olds (928 females, 932 males) in the National Health and Nutrition Examination Survey from 2015 to 2020. Latent class analysis was used to identify biomarker profiles. Multivariate logistic regression analyses were used to predict depression based on profile membership, controlling for sociodemographic characteristics.

Results: Three allostatic load profiles were identified in both females and males-high inflammatory and moderate metabolic dysregulation (immunometabolic dysregulation), high metabolic and moderate inflammatory dysregulation (metaboimmune dysregulation), or low dysregulation. Metaboimmune or immunometabolic dysregulation profiles in females, and metaboimmune dysregulation in males, were associated with 3-3.5 times greater odds of depression compared to low dysregulation profiles.

Discussion: Profiles of immune and metabolic dysregulation can be observed during young adulthood. Elevated immunometabolic and metaboimmune profiles were associated with depression risk in young adult females, while elevated metaboimmune profiles were associated with depression risk in young adult males. Detection of depression-related physiological dysregulation in young adults could be used to identify depression phenotypes and apply early interventions.

Keywords: Allostatic load; Biomarkers; Depression; Young adulthood; Youth.

MeSH terms

  • Adult
  • Allostasis* / physiology
  • Biomarkers
  • Depression*
  • Female
  • Humans
  • Male
  • Nutrition Surveys
  • Phenotype
  • Young Adult

Substances

  • Biomarkers