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Introduction: Adolescence is a stressful period due to physical, psychological, sexual changes, and presence of disorder such as depression is a matter of concern. Objectives: To study the prevalence of depression among adolescents in urban and rural areas and its socio-demographic correlates. Materials and methods: The PSU consisted all villages (n=29) and mohallas (n=23) in field-practice area. The required number of villages and mohallas, i.e., 10 each, were chosen using the basic random procedure, wherein each village and Mohalla has been assigned a unique serial number. Results: Overall, depression was observed in 110 participants (27.5%) with similar distribution in urban and rural areas. Low maternal and paternal education was a significant risk factor. Adolescents from the upper middle socioeconomic class (42.9%) and those from the lower middle socioeconomic class (33.3%) experienced the most depression. Burden was more among adolescents with low physical activity. Conclusion: This community based study of 400 adolescents residing in the urban and rural areas of Moradabad observed significant burden of depression in adolescent with poor maternal education, living in nuclear families, leading poor lifestyle and affected by any chronic illness at the time of the interview. Positive family history of mental illness was also an important risk factor. [ABSTRACT FROM AUTHOR]

Background: Several observational studies have reported the prevalence of cerebral microbleeds (CMBs) and their risk factors in an elderly population. Any information in this regard is currently lacking from India. Aim of this study was to estimate the prevalence, risk factors of CMBs, and association with cognition in an Indian urban population aged 50 years and above. Methods: Household surveys were conducted as part of ongoing Longitudinal Cognition and Aging Research on Population of the National Capital Region (LoCARPoN) study in areas of urban Delhi. Magnetic resonance imaging of the brain was performed in 2599 participants. Using standard neuropsychological battery, mean Z-scores for each domain (memory, executive, information) were derived. Binary and stepwise logistic regression models were used to determine associated risk factors for the presence of CMB and its association with cognitive domains. Results: The prevalence of CMBs was 14.42% (95% confidence interval [CI]: 13.06-15.73). Of these, 203 (7.81%) participants had single CMBs and 172 (6.61%) had multiple microbleeds (≥2). Higher prevalence was observed in older age (6070 years: odds ratio [OR]: 1.25 [95% CI: 0.93-1.67]; 70-80 years: OR: 2.05 [95% CI: 1.48-2.84]; ≥80 years: OR: 3.27 [95% CI: 1.97-5.44]) compared to individuals in the age group 50-60 years. History of stroke (OR: 2.97 [95% CI: 1.56-5.66]), hypertension (OR: 1.36 [95% CI: 1.05-1.75]), and smoking (OR: 1.43 [95% CI: 1.11-1.85]) was associated with at least one CMB. Multiple CMBs were associated with worse scores in memory and executive domains. Conclusion: Older age, hypertension, history of stroke, and history of smoking emerged as important risk factors for the presence of multiple CMBs. Follow-up study is required to determine implications of CMBs. [ABSTRACT FROM AUTHOR]