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Context: People with type 2 diabetes are more likely than the general population to have depressive And anxiety symptoms. Type 2 diabetics are being studied for depression and anxiety. Aim: To investigate the Prevalence and correlates of Depression and Anxiety in Type 2 Diabetes Mellitus Patients. Settings and Design: The Department of Endocrine and Medicine at Vijaya Hospital in Belagavi, South India, did a descriptive research. Methods and Materials: In a study on depression and anxiety, 384 people with type 2 diabetes were administered the Hospital Anxiety and Depression Scale (HADS). Statistical analysis used: Descriptive and inferential statistical analysis were done using SPSS software. Results: Depression and anxiety were found in 32.56% and 37.76% of the 384 patients assessed, respectively. P = 0.0001 showed a strong connection between anxiety and depressive symptoms (r = 0.7046) in this study. Type 2 diabetes duration, type of therapy and HADS-Anxiety were known to have a significant association. HADS-Depression revealed a significant association with age, qualification, type 2 diabetes duration, and treatment type (P < 0.05) in the same way as HADS-Depression does. Conclusion: According to the findings of this study, anxiety and sadness are widespread among people with type 2 diabetes. Furthermore, a strong link between depression and anxiety was observed across a wide range of variables. Depression and anxiety symptoms in people with type 2 diabetes should be assessed and treated on a frequent basis.

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Background. In today’s world, Internet-based medical information plays a significant role in patient education. There are several accessible health-related websites. It has become common to search Internet before going for a medical consultation. The main objective of this study was to determine the prevalence of cyberchondriasis and its association with demographic variables. Methods. A cross-sectional study was carried out among metabolic syndrome patients attending the cardiology, endocrinology, and neurology outpatient departments of a tertiary care hospital in South India. The prevalence of cyberchondriasis and its constructs were measured using the cyberchondria severity scale (CSS). Inferential statistics revealed no statistically significant difference in the average CSS scores across sociodemographic variables. Spearman correlation was conducted to determine the relationship between the constructs. Results. A total of 379 participants with metabolic syndrome were included in the study. 42.5% of them were severely affected, and 28.0% were moderately affected by cyberchondriasis. Among the constructs studied, compulsion (85.7%), distress (91.8%), excessiveness (96.6%), and reassurance (76.1%) constructs had an impact on a greater number of study participants, compared to mistrust of medical professional construct (33.0%). Cyberchondriasis had a significant relationship with the history of myocardial infarction (p value = 0.03). There was a statistically significant positive linear relationship between mistrust and reassurance (rs = 0.169, p value<0.001). Reassurance had a significant negative linear relationship with distress (rs = −0.147, p value = 0.004). Conclusion. In India, cyberchondriasis is a growing public mental health issue. Awareness among the general population is necessary to minimize the possible outcomes of cyberchondriasis like anxiety and depression. Screening individuals for possible risk factors is recommended.

Background: The prevalence of depression and anxiety in diabetes is considerably higher than normal population and found to have a negative impact on diabetes. Objective of the study was to assess the prevalence of depression and anxiety and to identify their associated risk factors among people with type 2 diabetes mellitus.Methods: Descriptive study was done in Endocrine and medicine outpatient Department of Vijaya Hospital in Belagavi, South India. Total 384 patients with type 2 diabetes mellitus were interviewed for depression and anxiety by administering the Hospital Anxiety and Depression Scale (HADS).Results: Of the total 384 patients surveyed, depression and anxiety were found in 32.56%. (95%CI 27.8-37.2%) and 37.76% (95% CI 33.1-42.9%) respectively. In Multiple Logistic regression analysis age, unmarried, religion, duration of type II diabetes and type of treatment were significantly associated with depression symptoms, Anxiety symptoms were associated with age, Qualification, Occupation, Religion, Duration and type of treatment.Conclusions: This study found a high prevalence of depression and anxiety in patients with Type 2 DM. Therefore, the care of individuals with type 2 Diabetes Mellitus (DM) should include the screening and possible treatment of depression and anxiety in order to achieve and sustain treatment goals.