ArticleFrontiers in nutrition2024
The association between a body shape index and depressive symptoms: a cross-sectional study using NHANES data (2011-2018).
Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association Between a Body Shape Index and Epilepsy Among US Adults: Potential Indirect Pathway Through Depressive Symptoms.Brain and behavior · 2026Article
- A body shape index trajectories and cognitive function among older hypertensive patients: a national cohort study.Archives of public health = Archives belges de sante publique · 2026Article
- Association of central adiposity indices with cognitive impairment in elderly populations: Development and validation of a risk prediction nomogram using NHANES and CHARLS cohorts.Journal of Alzheimer's disease : JAD · 2026Article
- Nutrition Patterns, Metabolic and Psychological State Among High-Weight Young Adults: A Network Approach.Nutrients · 2026Article
- Association between fat-to-muscle mass ratio and depressive symptoms in U.S. adults: evidence from a nationally representative cross-sectional study.European journal of medical research · 2025Article
- Association of weekend catch-up sleep ratio with depressive risk: insights from NHANES 2021-2023.BMC psychiatry · 2025Article
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3 authors.
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Abstract
Objective: This study aimed to explore the relationship between A Body Shape Index (ABSI) and depressive symptoms, and to evaluate the moderating effects of sociodemographic, lifestyle, and health factors. Methods: We analyzed data from 19,659 participants in the 2011-2018 National Health and Nutrition Examination Survey (NHANES). Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). ABSI was calculated from waist circumference, height, and BMI. Multiple linear regression models were employed to investigate the association between ABSI and depressive symptoms, with subgroup analyses to examine potential associations within specific populations. Results: Higher ABSI was significantly associated with increased depressive symptoms, after adjusting for covariates including age, sex, race, marital status, poverty-income ratio, smoking, alcohol consumption, physical activity, diabetes, and hypertension. Individuals in the highest ABSI quartile (Q4) had significantly more depressive symptoms compared to those in the lowest quartile (Q1) ( Conclusion: This study provides the first comprehensive analysis of the link between ABSI and depressive symptoms, suggesting that higher ABSI is associated with greater depressive symptoms. These findings highlight the potential importance of waist circumference and abdominal fat distribution in assessing depression risk. Future research should explore the causal mechanisms underlying this association and investigate the biological pathways involved, to inform more effective strategies for depression prevention and intervention.
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