The evaluation of depression prevalence and its association with obesity phenotypes in a community-dwelling aged population

Abstract

Background

Depression is one of the most debilitating mental disorders and a risk factor for many other chronic diseases that are commonly seen in the geriatric population. It has been claimed in previous studies that depression can be associated with obesity in this age group, but there is no common consensus between their results.

Aim

This study aims to evaluate the association between depression metabolic syndrome and obesity phenotypes in community-dwelling older adults living in the East of Iran.

Method and materials

As a part of the Birjand Longitudinal Aging Study, this retrospective cross-sectional study was conducted on participants older than 60. They were categorized based on their body mass index and components of metabolic syndrome into four phenotypes: metabolic non-healthy obese (MNHO), metabolic healthy obese (MHO), metabolic healthy non-obese (MHNO), and metabolic non-healthy non-obese (MNHNO). The relative risk ratio (RRR) of the obesity phenotypes, the severity of depressive symptoms, and the 95% confidence intervals (95% CI) were evaluated by univariate and multinomial logistic regression.

Results

Of 1344 eligible participants, 268 (19.94%) had depression. Moderate, moderate-severe, and severe depression were observed in 179 (13.32%), 67 (4.99%), and 22 (1.64%) participants, respectively. Our findings showed a non-significant increase in the RRR of mild depressive symptoms in MNHO (RRR:1.22, 95% CI 0.56–2.66) and severe symptoms in MNHNO (RRR:1.20, 95% CI 0.02–63.17) females. However, in male participants, the RRR of moderate-severe depressive symptoms only increased non-significantly for the MNHO category (RRR:1.34, 95% CI 0.45–3.98).

Conclusion

We did not observe a meaningful association between depressive symptoms and obesity phenotypes. Also, other than malnutrition or its risk, various severities of depressive symptoms correlate with different sociodemographic and medical risk factors among male and female senior citizens.