Background:Depression and obesity are disorders of stress with a dose dependent relationship between the both. The adverse health and social consequences are significant, when depression and obesity co-exist. This study aimed to examine the prevalence of depression among overweight and obese patients in a large station of Armed Forces and associate other risk factors of depression.Methods:This cross sectional descriptive study was conducted in the general OPD of large Station medicare centre (SMC) on overweight and obese personnel. Data was collected by self-administered Patient Health Questionnaire (PHQ-9) to assess the risk for depression over a period of one month.Results:In this study, out of 106 individuals, 71 (67%) were overweight and 35 (33%) were obese, as per WHO criteria. Of the individuals assessed, 13 (12%) individuals were found to have risk of moderate depression, 58 (54%) for mild depression and 35 (33%) individuals had no risk for clinically significant depression. The likelihood of depression was most strongly associated with BMI followed by age, status of living with family and habit of drinking alcohol.Conclusion:Obesity and depressive disorders are common comorbidities with overlapping pathophysiology whose co-existence leads to exponential adverse health outcomes. The outcome of depression and obesity is to be managed comprehensively by psychological counseling and life style modification.

Background: Students pursuing higher education are subject to high stress levels which could be associated with dysfunctional coping. Maladaptive coping is known to be operative in manifesting as psychopathology as depression, anxiety, suicidal ideation, and substance abuse. This study aimed to elaborate the psychological morbidity among professional undergraduates in general and medical students in particular, its evolution over the years and its psychosocial correlates. Methodology: The study examined medical students ( n = 202) and age-matched engineering students ( n = 145) belonging to the first and final year for psychological stress and coping, educational stress, domestic and professional concerns, depression, anxiety, and substance abuse. Psychometric scales along with demographic questionnaire were used to assess and quantify stress and psychological morbidity. Results: Medical students had higher levels of stress (psychological and education related) and higher psychological morbidity (depression and anxiety). Stress scores correlated positively with depression and anxiety scores and negatively with substance use score. Psychological stress other than educational stress was noted to be predictors of alcohol use in the sample. Conclusion: Our study elucidates that medical students face higher levels of psychological and education-related stressors and have higher levels of psychological morbidity than students from engineering colleges. Psychoactive substances are used as a form of self-medication to alleviate stress.

A urologist confirms high risks of kidney stones just because of diabetic mellitus; however, other factors also exist, but a major cause is type 2 diabetes. Renal cyst and diabetes clinical features show 58% of affected subjects as the same. Research findings prove the high risk of renal cancer among diabetes patients. All these patients underwent abdominal MRI or CT scan to extract kidney high-definition 3D images. The dataset was gathered from two hospitals: the first is the SRMS IMS, and the second is the Bareilly MRI & CT Scan Centre, both located in the city of Bareilly in the state of Uttar Pradesh of India. Research has been analyzed to note the classification among four classes using seven transfer learning methods. Results have been compared with seven transfer learning methods. The methods are EfficientNetB0, Xception, VGG16, ResNet50, MobileNet, InceptionV3, DenseNet121. Out of these deep learning-based algorithms, EfficientNetB0 shows the best accuracy of 96.02%.

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