Abstract

BackgroundThere is a need to longitudinally examine depression and DM2 relationship in a population that values positive health behaviors. The aim of this study was to prospectively investigate the bidirectional relationship between depression and DM2.MethodsA cohort sample of 4,746 Black (28.4%) and White (71.6%) Seventh-day Adventist adults who participated in the Biopsychosocial Religion and Health Study (BRHS) completed a short form of the Center for Epidemiologic Studies Depression Scale (CES-D) 11 along with self-report of lifetime physician diagnosis of type 2 diabetes (DM2) and treatment of DM2 and/or depression in the last 12 months in 2006–7 and 2010–11. Hierarchical logistic regression analyses were completed to predict risk for future disease while controlling for demographic and health related variables.ResultsWhile there were no direct effects of depression on later DM2, there was an indirect effect mediated by BMI (effect = 0.13; 95% CIs [0.08, 0.20]) even after controlling for demographic variables as covariates using Hayes’ PROCESS macro mediation analysis. Similarly, there was also only an indirect effect of DM2 on later depression mediated by BMI (effect = 0.13; 95% CIs [0.05, 0.22]) after controlling for demographic variables.ConclusionsThe results highlight BMI as a risk factor for both DM2 and depression. The negative consequences of having higher BMI in conjunction at baseline with another disease can increase the risk for other chronic disease even in a span of 2.04 – 5.74 years, the length of study interval.

Highlights

  • There is a need to longitudinally examine depression and type 2 diabetes (DM2) relationship in a population that values positive health behaviors

  • In adults with DM2, depression is twice as prevalent compared to non-diabetic adults [2]

  • Meta-analytic studies determined that risk for diabetes in depressed individuals is up to 60% higher than for those without [3,4,5]

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Summary

Objectives

The aim of this study was to prospectively investigate the bidirectional relationship between depression and DM2

Methods
Results
Conclusion
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