Abstract Title

Analysis of Comorbid Depression and Diabetes among Males 30 – 50 Years of Age

RAD Assignment Number

704

Presenter Name

Yaa Cheremateng

Abstract

Introduction: Depression and diabetes are among the most prevalent chronic diseases in the United States and are common comorbid conditions. The purpose of this study was to assess whether diabetes is a risk factor for depression in a representative sample of males ages 30-50.

Methods: This cross sectional analysis used 2013 data from the Behavioral Risk Factor Surveillance System for Mississippi males ages 30-50, N=712. Chi-square analyses and multiple linear regression were used to determine the association between diabetes and depression.

Results: Significant relations between diabetes and depression were observed at the bivariate level (p=.02, 95% CI= 1.06, 4.23); however, the relationship was insignificant after controlling for number of chronic health problems, physical activity level, weight, tobacco use, alcohol use, educational level, marital status, age, and ethnicity/race. The relations between number of chronic health problems and depression were significant at the multivariate level.

Conclusions: Overall, depression and diabetes were not related in this age group. However, number of chronic health problems was significant for this age group, and thus having multiple comorbidities such as diabetes seems to be a key factor impacting depression risk for males 30-50. Consequently, clinicians should be cognizant of the relationship between comorbidities and depression and provide screening to patients with multiple comorbidities in addition to resources or referrals as necessary.

Presentation Type

Poster

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Analysis of Comorbid Depression and Diabetes among Males 30 – 50 Years of Age

Introduction: Depression and diabetes are among the most prevalent chronic diseases in the United States and are common comorbid conditions. The purpose of this study was to assess whether diabetes is a risk factor for depression in a representative sample of males ages 30-50.

Methods: This cross sectional analysis used 2013 data from the Behavioral Risk Factor Surveillance System for Mississippi males ages 30-50, N=712. Chi-square analyses and multiple linear regression were used to determine the association between diabetes and depression.

Results: Significant relations between diabetes and depression were observed at the bivariate level (p=.02, 95% CI= 1.06, 4.23); however, the relationship was insignificant after controlling for number of chronic health problems, physical activity level, weight, tobacco use, alcohol use, educational level, marital status, age, and ethnicity/race. The relations between number of chronic health problems and depression were significant at the multivariate level.

Conclusions: Overall, depression and diabetes were not related in this age group. However, number of chronic health problems was significant for this age group, and thus having multiple comorbidities such as diabetes seems to be a key factor impacting depression risk for males 30-50. Consequently, clinicians should be cognizant of the relationship between comorbidities and depression and provide screening to patients with multiple comorbidities in addition to resources or referrals as necessary.