Background: Mental disorders have got high prevalence and low priority among the elderly in most of the countries worldwide, of which depression being the most common treatable condition. The causes for elderly depression are multifactorial and preventable. Objective: The aim of this study is to estimate the prevalence of depression and to assess the factors associated with depression among the elderly age. Materials and Methods: A cross-sectional study was conducted among participants more than 60 years of age residing in tenements under resettlement scheme in Semmenchery, Kancheepuram district, Tamil Nadu with a sample size of 184. Systematic sampling method was adopted to collect data at participants door step. A predesigned, pretested questionnaire was used to assess the factors associated with depression, and the Geriatric depression scale-30 was used to assess depression. The data were analyzed using SPSS and Chi-square <0.05 was considered significant. Results: The overall prevalence of depression was 35.3%. The factors such as female gender, educational status, occupation, type of family, financial dependency, history of depression, smoking and medical factors such as hypertension, cardiac disease, and chronic kidney disease and life events like conflict in family, unemployment, and financial problem were statistically significant ( P < 0.05). Conclusion: Loss of spouse, financial dependency, neglected care, lack of awareness about the disease were found to be barriers in reaching basic mental health care for the elderly. Depression remains one of the main causes of DALY, especially among elders. National Program for Health care of elderly provides doorstep services, so incorporation of depression screening into that can impart the effects of depression on quality of life and DALY.

Introduction: A good understanding of biostatistics can improve clinical thinking, decision-making, evaluations, and medical research. Undoubtedly, medical professionals are becoming aware of the importance of learning and applying biostatistical methods in their research. This study was done to assess the knowledge and attitude among medical graduates regarding the role and application of biostatistics in medical science. Method: The study was a cross-sectional study conducted in a tertiary care teaching hospital among 120 medical students pursuing MBBS third and final year. Systematic random sampling was used to select the study participants. A pretested validated semi-structured questionnaire was used for data collection. Results: Majority of the study participants, strongly agree that the subject helps in interpretation (75.8%), and is important in medical practice (61.7%). However, 85% of the study participants feel that software is difficult to use. 90% of the study participants find the subject hard to understand. The mean score of subject content, understanding, the current impact was significantly higher among the fourth-year students than the third-year students. There was no significant difference between the genders. Conclusion: Introduction of data collection sessions and appraisal of excerpts in published articles can provide practical knowledge and accentuate the role of bio statistics in health care.