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Elder abuse is evil in human society. The present paper unveils this social issue from two major factors psychological and physical abuse. The study sensitizes the subject matter of study by examining the effects of demographic variables like gender and age on elders. For achieving the purpose of the study the research is a design by exploring and validating the factors of measuring elder abuse through the mix method approach, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). To test the established hypotheses of the effects of the demographic variable on elders the two-way ANOVA was applied. The present study verdicts the development of a sound measurement scale with two influence factors. The separate and composite effect of aging and gender type on elder abuse was evidenced. These findings are crucial especially when the prevalence of elder abuse is higher during COVID-19. The limited novel understudied variable opens an avenue for further research in behavioral and demographic variables like marital status. The present study has practical insinuation for caring the elders in any human society like physical and psychological treatment of elders to avoid abusive situations. In addition, the study attempts to validate the novel issues like psychological and physical abuse of elders in the dimensions of demographic variables. Some rare studies in the Indian continent established the motivation of conducting the research on this dimension. [ABSTRACT FROM AUTHOR]

India is the home of more than 253 million adolescents, which account for almost 21% of the country's population. In the recent past, there has been a rise in the prevalence of mental illness and maladaptive behaviours among adolescents living in slum populations, which are increasing at an alarming rate in many developing countries, mainly due to rural–urban migration, are characterized by poverty, poor housing, overcrowding, poor environment, and high prevalence of communicable diseases. This neglected population has become a major reservoir for a broad spectrum of adverse health conditions. Studies on the mental health status among adolescents in India are relatively scarce. The main objective of the study was to estimate the prevalence of mental health disorder and its determinants among adolescents in slum settings in Lucknow, India; by using GHQ-12. The study used cross-sectional primary data which was collected in 2015–2016 from the adolescents living in various slums of Lucknow city. About 590 adolescents whose parents gave consent to participate were included in the study. Descriptive statistics, Chi square test and ordered logistic regression analysis (OLR) technique were used to assess the mental health. Reliability of GHQ-12 was assessed before performing the analysis which was found to be 0.79. Approximately, 33% of adolescents were found to suffer from severe level of mental disorder. The results of this study depicts that adolescents of age 12–15 years had more severe mental health problems compares to 16–19 years of adolescents. Females were more likely to suffer from severe mental health problems compared to moderate/normal mental health problems (OR 1.72; p < 0.001). Odds of severe mental health problems was significantly higher among Muslims (OR 1.66; p < 0.001) than Hindus. Thus, it was found that age, gender, education, caste, household economic status, media exposure and religion to be significantly associated with mental health problem. Government should provide a wide range of adolescent friendly health services (clinical, mental, nutritional, including counselling) in these slums for a better adolescent health outcome. [ABSTRACT FROM AUTHOR]

Purpose: To assess the dietary inadequacies of micronutrients and the associated factors among the apparently healthy urban adults. Methods: This community-based cross-sectional study involved 300 urban adults (distributed into age groups: 21–40, 41–60, and > 60 years) residing in Hyderabad city, South India. Hemoglobin in whole blood, ferritin, folate, and vitamin B12 (B12) in plasma was estimated. Dietary intakes were assessed by three 24-h dietary recalls and calculated the probability of adequacy (PA) using estimated average requirement. Results: The prevalence of anemia (30%), iron deficiency (ID, 23%), and iron deficiency anemia (IDA, 14.3%) was independent of age but higher in women. While folate deficiency (32.2%) was independent of age and gender, B12 deficiency (35.5%) varied by both age and gender. The PA of iron (89%) was higher, while that of folate, B12, and zinc (1–11%) were noticeably low. The mean PA (MPA) across the ten micronutrients was 38%, independent of age and gender, but associated with the educational status. Energy intake was a strong predictor of the MPA. Cereals and millets predominantly contributed to the intake of thiamine, niacin, zinc, and iron; green leafy vegetables and fruits to vitamins A, C, folate, and iron; animal foods to B12; and milk and milk products to calcium, vitamin A, riboflavin, and B12. The unadjusted and adjusted logistic regression models revealed that micronutrient inadequacy was associated with greater risk of IDA and folate deficiency. Conclusions: These results indicate a higher prevalence of micronutrient deficiencies among the healthy urban adults possibly due to the inadequacy of multiple micronutrients. [ABSTRACT FROM AUTHOR]