Relations of Depressive Symptoms and Antidepressant Use to Body Mass Index and Selected Biomarkers for Diabetes and Cardiovascular DiseasePreventive and Behavioral Medicine Publications and Presentations
UMMS AffiliationDepartment of Medicine, Division of Preventive and Behavioral Medicine
SubjectsDepression; Antidepressive Agents; Body Mass Index; Diabetes Mellitus; Cardiovascular Diseases; Biological Markers
AbstractObjectives. We investigated whether depressive symptoms and antidepressant use are associated with biomarkers for glucose dysregulation and inflammation, body mass index (BMI), and waist circumference. Methods. Postmenopausal women were recruited into the Women's Health Initiative from 1993 to 1998, and data were collected at regular intervals through 2005. We used multiple linear regression models to examine whether depressive symptoms and antidepressant use are associated with BMI, waist circumference, and biomarkers. Results. Analysis of data from 71 809 women who completed all relevant baseline and year 3 assessments showed that both elevated depressive symptoms and antidepressant use were significantly associated with higher BMI and waist circumference. Among 1950 women, elevated depressive symptoms were significantly associated with increased insulin levels and measures of insulin resistance. Analyses of baseline data from 2242 women showed that both elevated depressive symptoms and antidepressant use were associated with higher C-reactive protein levels. Conclusions. Monitoring body habitus and other biomarkers among women with elevated depression symptoms or taking antidepressant medication may be prudent to prevent diabetes and cardiovascular disease. (Am J Public Health. Published online ahead of print June 13, 2013: e1-e10. doi:10.2105/AJPH.2013.301394).
Related ResourcesLink to Article in PubMed
Citation InformationYunsheng Ma, Raji Balasubramanian, Sherry L. Pagoto, Kristin L. Schneider, et al.. "Relations of Depressive Symptoms and Antidepressant Use to Body Mass Index and Selected Biomarkers for Diabetes and Cardiovascular Disease" (2013) ISSN: 0090-0036 (Linking)
Available at: http://works.bepress.com/sherry_pagoto/74/