Difference by sex but not by race/ethnicity in the visceral adipose tissue-depressive symptoms association: the Multi-Ethnic Study of Atherosclerosis
Abstract
BACKGROUND: Prior studies have investigated the association of clinical depression and depressive symptoms with body weight (i.e. body mass index (BMI) and waist circumference), but few have examined the association between depressive symptoms and intra-abdominal fat. Of these a limited number assessed the relationship in a multi-racial/ethnic population.
METHODS: Using data on 1017 men and women (45-84 years) from the Multi-Ethnic Study of Atherosclerosis (MESA) Body Composition, Inflammation and Cardiovascular Disease Study, we examined the cross-sectional association between elevated depressive symptoms (EDS) and CT-measured visceral fat mass at L2-L5 with multivariable linear regression models. EDS were defined as a Center for Epidemiological Studies Depression score ≥16 and/or anti-depressant use. Covariates included socio-demographics, inflammatory markers, health behaviors, comorbidities, and body mass index (BMI). Race/ethnicity (Whites [referent group], Chinese, Blacks and Hispanics) and sex were also assessed as potential modifiers.
RESULTS: The association between depressive symptoms and visceral fat differed significantly by sex (p=0.007), but not by race/ethnicity. Among men, compared to participants without EDS, those with EDS had greater visceral adiposity adjusted for BMI and age (difference=122.5 cm2, 95% CI=34.3, 210.7, p=0.007). Estimates were attenuated but remained significant after further adjustment by socio-demographics, inflammatory markers, health…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 1,017 participants or records.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.