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Introduction: Data mining in healthcare is a nascent arena of research in healthcare. Heterogeneity of Diabetes Mellitus in terms of clinical presentation calls for newer methods of research to study potential risk factors. Aim: The paper aims to use clustering techniques to identify the relationship between the four variables, namely the pre-prandial and postprandial sugar level, age and sex. Methods: The data was taken from a diagnostic laboratory in Wagholi, Pune. We conducted K-mean algorithm, EM algorithm, model-based clustering and t-mixture model. Results: It is evidenced that the data was best fitted to the t-mixture model. Our 50% samples were people with diabetes, 17% had prediabetes. Trivial correlation existed between age and sugar level. Males and females were equally at risk of having diabetes. Data presented concludes that age and sex have no effect on the risk of having diabetes. Data mining can be used to deduce meaningful clusters to drive plan-based interventions in the population. Conclusion: Methods of data mining can be used to deduce meaningful clusters in a heterogeneous dataset thus providing policymakers and healthcare researchers with novel information that will potentially contribute in formulating evidence-based policies. [ABSTRACT FROM AUTHOR]

Attacks perpetrated using acid are a particular form of interpersonal violence, possibly one of the most heinous manifestations of Intimate Partner Violence (IPV). Acid attacks are mainly motivated by extramarital cheating, marital conflicts, women's rejection of marriage proposals, and sexual advances. As these attacks are not well understood from a psychological perspective, we conducted a systematic review, following Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines, of 284 articles identified, 13 were eligible for inclusion. Three main focuses were identified: "Risk and vulnerability factors," "Consequences and implications," and "Interventions and treatments." Acid attacks seem to be more frequent in countries where social and economic development leads to greater tensions over traditional gender roles like Bangladesh, Pakistan, and India. Identified risk factors were young age, low socioeconomic status, low educational attainment, ethnicity, unemployment status of the victim, alcohol, and drug use of the perpetrator. Among the main psychosocial consequences of acid attacks, isolation and social exclusion emerged. Additionally, the paper will discuss the role of mental health consequences and specific treatments from psychological, clinical, and medical-legal points of view. [ABSTRACT FROM AUTHOR]

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]

Introduction: Recent studies highlight the negative impact of social isolation and involvement in leisure activities on enhanced well‐being of individuals. However, there is dearth of evidence on relationship between social isolation and leisure activities on cognitive abilities and depression of older adults in the Indian context. The paper reports the impact of social isolation and leisure activities on cognitive functioning and depression of older adults. Methods: Data were collected from the Longitudinal Ageing Study of India (LASI), and 63,806 participants aged 45 years or above were considered for the study with adherence to the exclusion criteria. Multivariate analysis was carried out to analyse the group‐based differences. Results: Social isolation (F = 102.09, p < 0.01; η2 = 0.09) and leisure (F = 224.54, p < 0.01; η2 = 0.07) had a statistically significant impact on the cognition and depressive symptoms of participants. Socially isolated older adults with little involvement in leisure activities had the worst cognitive functioning (M = 32.76, SD = 4.41), whereas middle‐aged adults who were actively involved in leisure activities and experienced the least social isolation exhibited the best cognitive functioning (M = 32.76, SD = 4.41). However, leisure and age as independent factors did not have a significant impact on depression. Conclusion: Socially isolated participants, irrespective of age, and involvement in leisure activities exhibit poor cognitive functioning and are more likely to suffer from depression as compared to their counterparts. The findings of the study can be used to design intervention strategies aimed at reducing social isolation by incorporating leisure activities to ensure the optimal functioning of middle‐aged and older adults. Key points: Socially isolated older adults with least involvement in leisure activities reported the worst cognitive functioning.Socially isolated participants reported a positive association with depressive symptomatology.Both middle‐aged and older adults who engaged in leisure activities reported better cognitive functioning as compared to their counterparts who did not engage in any form of leisure activities.Leisure as an independent factor is not significantly associated with depressive symptoms. [ABSTRACT FROM AUTHOR]

Women in low-and-middle income countries (LMICs) are disproportionately exposed to secondhand smoke (SHS), particularly in the home environment. Girls married before the age of 18 are more likely to remain at home and may be at higher risk of SHS exposure. This paper investigates whether women who were married as child brides had a higher risk of SHS exposure than their peers who were married as adults in India, where both burden of smoking and child marriage are critical public health concerns. Data were obtained from the 2015–2016 wave of the nationally representative India National Family Health Survey and included 306,788 married women ages 18 to 35 years. We estimated bivariate and multivariate logistic regressions to obtain odds ratios in favor of SHS exposure. The prevalence of SHS exposure for those who were married as adults was 50.3% while that was 55.2% for those who were married before age 18. After controlling for sociodemographic characteristics, the adjusted odds of SHS exposure for those who were married as child were 1.06 (95% CI: 1.03, 1.09) times that of those who were married as adults. Findings of this study inform policies for coordinated efforts to eliminate child marriage and strengthen tobacco control. [ABSTRACT FROM AUTHOR]

Background: Evidence of hysterectomy in India is limited mainly due to lack of information in large-scale nationally representative health surveys. In 2015–16, the fourth National Family Health Survey (NFHS-4) – a cross-sectional survey – collected for the first time direct information on hysterectomy and self-reported reasons for undergoing the procedure among women in the reproductive age group. This paper examines the prevalence and determinants of hysterectomy in India among women aged 30–49 years in 29 states and seven union territories (UTs) of India using the NFHS-4 dataset. Methods: Percentage weighted by sampling weights was used for estimating the prevalence of hysterectomy. The paper used crosstabulations and percentage distributions to estimate the prevalence of hysterectomy across different socioeconomic backgrounds and reasons for undergoing hysterectomy respectively. A multivariate binary logistic regression model was also used to find statistically significant determinants of hysterectomy. Results: In India as a whole, 6 % of women aged 30–49 years had undergone a hysterectomy. The percentage of women who had undergone the procedure was found to vary considerably across the states and the UTs (from a minimum of 2% in Lakshadweep to a maximum of 16% in Andhra Pradesh). A noticeable fact that emerged was that the majority of the hysterectomies were performed in the private sector except in the northeast region. Years of schooling, caste, religion, geographic region, place of residence, wealth quintiles, age, parity, age at first cohabitation, marital status, and body mass index of women were found to be the sociodemographic determinants statistically associated with hysterectomy in India. The reasons reported frequently for hysterectomy were excessive menstrual bleeding/pain (56%), followed by fibroids/cysts (20%). Conclusion: The percentage and likelihood of undergoing hysterectomy are relatively high among women from older age groups (45–49), those who reside in rural areas, those without schooling, those who are obese, those having high parity, those with a low age at first marriage, and those who reside in the eastern and southern parts of India. The policy implication of these findings is that the reproductive health program managers should ensure regular screening and timely treatment of the problems resulting in hysterectomy. [ABSTRACT FROM AUTHOR]

SummaryIntroduction1Definitions of ethnic groups and demographics of minority ethnic groups in the UK○ 1.1 Definitions of 'ethnic groups' and 'ethnicity'○ 1.2 Demographics and characteristics of minority ethnic groups in the UK– Countries of origin– Age/sex distribution and life expectancy– Geographical distribution and size of household– Religious beliefs– Education and employment patternsKey points2Overview of the health profile and dietary habits of minority ethnic groups in the UK○ 2.1 Available surveys○ 2.2 Overview of the health profiles among adults from minority ethnic groups– Overall health– Cardiovascular disease (CVD)– Coronary heart disease (CHD)– Stroke– Type 2 diabetes– Obesity○ 2.3 Possible causes of increased disease risk among minority ethnic groups○ 2.4 Smoking, drinking and physical activity habits○ 2.5 Dietary habits and nutritional status○ 2.6 Overview of the health profiles and dietary and health behaviour patterns of children from minority ethnic groups– Overall health– Diet and health behaviour patterns○ 2.7 Gaps in data availabilityKey points3Factors affecting food choice– Income and socio‐economic status– Food availability and access– Awareness of healthy eating– Religious beliefs– Food beliefs– Time and cooking skills– Generation and genderKey points4Traditional diets of minority ethnic groups○ 4.1 Overview of traditional diets of minority ethic groups– South Asians– African‐Caribbeans– Chinese○ 4.2 Dietary acculturation○ 4.3 Nutritional composition of ethnic‐style cuisineKey points5Nutritional interventions and health promotion among minority ethnic groups○ 5.1 Effective nutritional interventions○ 5.2 Health promotion interventions to prevent problems associated with fasting○ 5.3 Priorities for nutritional interventions and health promotion○ 5.4 Using behaviour change models○ 5.5 Current community initiatives○ 5.6 Catering for institutionalised individuals○ 5.7 Recommendations for future research, policy and practiceKey points6Conclusion• Acknowledgements• References Summary: According to the latest census, non‐white minority ethnic groups made up 7.9% of the UK's population in 2001. The largest of these groups were South Asians, Black African‐Caribbeans and Chinese. Studies have shown that some minority ethnic groups are more likely to experience poorer health outcomes compared with the mainstream population. These include higher rates of cardiovascular disease (CVD), type 2 diabetes and obesity. The differences in health outcomes may reflect interactions between diet and other health behaviours, genetic predisposition and developmental programming, all of which vary across different groups. As is the case for the rest of the population, the dietary habits of minority ethnic groups are affected by a wide variety of factors, but acquiring a better understanding of these can help health professionals and educationalists to recognise the needs of these groups and help them to make healthier food choices. Unfortunately, to date, there have been few tailored, well‐designed and evaluated nutritional interventions in the UK targeting minority ethnic population groups. Further needs assessment and better evaluation of nutritional interventions have been recommended to enhance the understanding of the effectiveness of different approaches amongst minority ethnic groups. This briefing paper will provide an overview of the health profile, dietary habits and other health behaviours of the three largest non‐white minority ethnic groups in the UK, explore the factors affecting their food choices, provide a summary of their traditional diets and review the evidence base to identify the factors that support successful nutrition interventions in these groups. [ABSTRACT FROM AUTHOR]