ArticleInternational journal of mental health systems2016
Comorbidity of depression and diabetes: an application of biopsychosocial model.
Article in International journal of mental health systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Biopsychosocial and Nutritional Factors of Depression among Type 2 Diabetes Mellitus Patients: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Effects of traditional Chinese mind-body exercise-Baduanjin for type 2 diabetes on psychological well-being: A systematic review and meta-analysis.Frontiers in public health · 2022Pooled it
- Secondary analysis of GenRED data (Genetics of Recurrent Early-Onset major Depression) using MERLIN.European archives of psychiatry and clinical neuroscience · 2026Article
- Association between vitamin D levels and depression among type 2 diabetes mellitus patients in the Southern Region of Malaysia.The Pan African medical journal · 2026Article
- DNA methylation of the IL6R gene moderates the association between biopsychosocial factors and depression.Translational psychiatry · 2025Article
- Combined Effects of Smartphone Overdependence and Stress on Depression and Suicide-Related Behaviors among High School Students.Healthcare (Basel, Switzerland) · 2022Article
- Exploring Sexual Life Experiences and Perceptions of Women with Diabetes: A Qualitative Study.International journal of community based nursing and midwifery · 2022Article
- SELF-CARE AND QUALITY OF LIFE PEOPLE WITH TYPE 2 DIABETES DURING THE COVID-19: CROSS-SECTIONAL STUDY.Journal of diabetes and metabolic disorders · 2022Article
- Effectiveness of plant-based diets in promoting well-being in the management of type 2 diabetes: a systematic review.BMJ open diabetes research & care · 2018Article
- Chronic Unpredictable Mild Stress Aggravates Mood Disorder, Cognitive Impairment, and Brain Insulin Resistance in Diabetic Rat.Evidence-based complementary and alternative medicine : eCAM · 2018Article
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Abstract
backgroundType 2 diabetes (T2D) is one of the most psychologically demanding chronic medical illness in adult. Comorbidity between diabetes and depression is quite common, but most studies were based on developed country sample. Limited data exists to document biopsychosocial predictors of depressive symptoms in Ethiopian patients. Therefore, the aim of the study was to describe the association of depressive symptoms and T2D and explore the potential underlying associated biopsychosocial risk factors.
methodsInstitution based cross-sectional study was conducted on 276 patient with T2D at diabetic clinic, Black Lion General Specialized Hospital in Ethiopia. Patients were selected using systematic random sampling technique. Depressive symptoms score, which constructed from a validated nine-item Patient Health Questionnaire (PHQ-9), was an outcome variable. Finally, significant associated factors were identified using multiple linear regression analysis with backward elimination procedure. Statistical Package for Social Science (SPSS) version 22.0 (IBM SPSS Corp.) was used to perform all analysis.
resultsTotal of 264 patient data was analyzed with 95.7% response rate. Patients mean (SD) current age and age at diagnosis was 55.9 (10.9) and 43.9 (10.9) years, respectively. Patients waist circumference (mean ± SD) was 98.9 ± 11.1 cm. The average PHQ-9 score was 4.9 (SD 4.1) and fasting blood glucose was 166.4 (SD 73.2). Marital status (divorced), occupation (housewife), diabetic complication (nephropathy), negative life event in the last six months, and poor social support significantly associated with increased mean PHQ-9 score after adjustment for covariates. Whereas not fearing diabetic-related complication and death significantly lower mean PHQ-9 score.
conclusionBiopsychosocial variables including marital status, negative life event in the last 6 months, occupation, diabetic complication, and poor social support significantly increase average depressive symptoms score. Evidence-based intervention focusing on these identified biopsychosocial factors are necessary to prevent the development of depressive symptoms.
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