OBJECTIVE: Diabetes mellitus and depression are major public health problems and are significantly linked with each other. This research study intends to assess for undiagnosed depression and its predictors among adult diabetic patients. METHODS: A cross-sectional study was done among 100 patients with type 2 diabetes mellitus attending the diabetic clinic of a tertiary care hospital. Depression was assessed using Patient Health Questionnaire-9 (PHQ-9). Chi-square test was performed and odds ratios (OR) with 95% confidence interval (95% CI) were obtained. Mann Whitney U and Pearson correlation tests were done. Logistic regression was carried out to determine the predictors of depression and adjusted odds ratios with 95% confidence intervals were obtained. RESULTS: The prevalence of depression was 49% (95% CI 39.1-58.9%). The predictors of depression were female gender, elevated fasting blood sugar (FBS) level, physical disability and lack of physician's advice about lifestyle modifications. FBS values were significantly higher in depressed individuals as compared to the non-depressed (p value 0.002). A positive correlation (r=0.38, p value 0.01) was obtained between PHQ-9 scores and the FBS values of the diabetic subjects. CONCLUSIONS: Subjects with diabetes are highly prone for comorbid depression. Physicians should be sensitive towards the need for assessing for possible depression and its risk factors in diabetic patients.
OBJECTIVE:Diabetes mellitus and depression are major public health problems and are significantly linked with each other. This research study intends to assess for undiagnosed depression and its predictors among adult diabeticpatients. METHODS: A cross-sectional study was done among 100 patients with type 2 diabetes mellitus attending the diabetic clinic of a tertiary care hospital. Depression was assessed using Patient Health Questionnaire-9 (PHQ-9). Chi-square test was performed and odds ratios (OR) with 95% confidence interval (95% CI) were obtained. Mann Whitney U and Pearson correlation tests were done. Logistic regression was carried out to determine the predictors of depression and adjusted odds ratios with 95% confidence intervals were obtained. RESULTS: The prevalence of depression was 49% (95% CI 39.1-58.9%). The predictors of depression were female gender, elevated fasting blood sugar (FBS) level, physical disability and lack of physician's advice about lifestyle modifications. FBS values were significantly higher in depressed individuals as compared to the non-depressed (p value 0.002). A positive correlation (r=0.38, p value 0.01) was obtained between PHQ-9 scores and the FBS values of the diabetic subjects. CONCLUSIONS: Subjects with diabetes are highly prone for comorbid depression. Physicians should be sensitive towards the need for assessing for possible depression and its risk factors in diabeticpatients.
Authors: Feng Li; Mian Zhang; Dan Xu; Can Liu; Ze-Yu Zhong; Ling-Ling Jia; Meng-Yue Hu; Yang Yang; Li Liu; Xiao-Dong Liu Journal: Acta Pharmacol Sin Date: 2014-06 Impact factor: 6.150
Authors: Krishnamachari Srinivasan; Elsa Heylen; R Johnson Pradeep; Prem K Mony; Maria L Ekstrand Journal: BMC Psychiatry Date: 2022-06-13 Impact factor: 4.144
Authors: Deepa Rao; Lauren Lipira; Shuba Kumar; Rani Mohanraj; Subramani Poongothai; Nikhil Tandon; G R Sridhar; Wayne Katon; Km Venkat Narayan; Lydia Chwastiak; Viswanathan Mohan; Mohammed K Ali Journal: Int J Noncommun Dis Date: 2016-10-12
Authors: R Johnson Pradeep; Maria L Ekstrand; Sumithra Selvam; Elsa Heylen; Prem K Mony; Krishnamachari Srinivasan Journal: J Affect Disord Rep Date: 2021-01-02