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The prevalence rate of depression increased with age for both sex (except for male in the age group of 40 to 49) (Table 4). BMI, WHR, and physical activity had strong and linear association with DM and pre-DM when other socioeconomic factors were adjusted (Tables 5 and ?and6).6). Financial status and education level may have some relationship with depression and glucose abnormality which was not very clear (Tables 5 and ?and7).7). The OR for depression was significantly increased in patients with pre-DM and DM compared with those without pre-DM (OR, 2.49; 95% CI, 1.76 to 3.51; PUnoprostone Protease Inhibitor Library ic50 symptoms by age and gender Table 5 Risk of depression with or without pre-DM and DM Table 6 Comparison between pre-DM, DM, and 'without glucose abnormality group' for different sociodemographic, clinical, and biochemical factors Table 7 Risk of pre-diabetes mellitus and diabetes mellitus (compared to healthy subjects) Age had a steady and significant relationship with depression, pre-DM, and DM. In case of female subjects the OR increased with depression but vice versa in glucose abnormality, when the other variables like BMI, WHR, and physical activity were adjusted. Marital status showed a significant relationship with depression (Table 7). DISCUSSION The overall prevalence rate of depression (15.3%) was not unexpected but quite alarming. It was lower than the previous study (29.7%) [8], but much higher than the statistical information (4.6%) from National Institute of Mental Health, Bangladesh [1]. This result was also higher than another study (8%) in a similar geographical area near Dhaka in 2007 [2]. This discrepancy between the studies may be due partly to change of socioeconomic status of that population. Our population was recruited from a rural (urbanizing) area of Bangladesh where poverty was common but recent development of that particular BGJ398 in vivo area might have some influence to reduce the overall prevalence of depression within these 5 years. though mean monthly income was lower with depressed population which assumes that depression is related to poverty any steady association could not be stablished between of socioeconomic strata with depressive symptoms while combined with glucose abnormality. Studies from both the East and West had explored higher prevalence of depression in women than men. The explanation for this assumed to be that, women are influenced by biological factors including hormones, psychological attributes, unfavourable family experiences, harsh sociocultural role, and poor social support [17,18,19,20].