Hypertension and its risk factors among the Shabar tribe: A community-based cross-sectional study in Odisha, India

In developing countries like India, the increasing trend of hypertension is one of the significant public health problems. In recent times, the Indian tribes are also experiencing a similar trend, which is rarely documented and less emphasized. The objectives of the present study are to assess the prevalence of hypertension among the Shabar tribe and to understand the association with some selected biological, behavioural and socio-economic factors. The data were collected from 816 individuals (389 males and 427 females, aged 20 to 60 years) in the Khurda and Cuttack districts of Odisha. Conventional methodologies were used to collect the cross-sectional data of blood pressure and other parameters. It was found that 9.2% of the respondents suffered from hypertension (SBP ≥ 140 and DBP ≥ 90 mmHg), and 12.3% had high normal blood pressure (SBP ≥ 130 and DBP ≥ 85 mmHg). The unadjusted odd ratios showed that the proportion of hypertension increased significantly as age increased. High normal blood pressure and hypertension were significantly higher in females and people who belonged to the high-income group and consumed more fat. The Shabar people who suffered from overweight and obesity, took extra salt during meals, smokers, smokeless tobacco chewers, and alcoholics were more vulnerable to hypertension and high blood pressure. Interestingly, the participants who perceived their fatty bodies and engaged in light activities were more likely to be hypertensive than their counterparts. Shabar people residing in Odisha state have shown increasing frequencies of hypertension with advancing age. A significant co-occurrence of higher body mass index (BMI), fewer physical activities, increased fat consumption, and changing habits relating behaviour to hypertension may be designated as potential risk factors

Position of Women in the Ladiya Society: Demographic Perspectives

Position of women has been assessed in terms of demographic perspectives among an offshoot population of a depressed class, namely the Ladiya of Pathariya Jat village of Sagar district, Madhya Pradesh, India. Fertility as well as infant mortality both is found to be considerably high among the womenfolk. It reveals that the Ladiya mothers opt for frequent child bearing in order to make up the loss due to infant mortality, despite the consequent risk of their health as well as survival. The present study, however, inferred that to improve overall status of the women, effort should be made to improve their level of educational attainment and increase their active participation in economic activities for better employment. This will help the women to have more autonomy in decision making to overcome the high rate of infant mortality and birth rate – as well as natural growth rate of the study population

Prevalence and Factors Associated with Overweight/Obesity in Adolescent School Girls: A Cross-Sectional Study in Kolkata, India

Overweight and obesity in adolescent girls are considered a leading global public health issues in recent times. There is a need to evaluate the potential socioeconomic and behavioural factors behind adolescents’ overweight and obesity in different environmental settings. The present study aims to understand the prevalence of overweight and obesity among urban adolescent school girls and to determine the association between selected socioeconomic and behavioural factors and overweight/obesity. This is a cross-sectional study using a multistage stratified cluster sampling with a sample size of 1041 adolescent girls aged 10 to 18 years from schools of Kolkata, India. Overall prevalence of overweight and obesity were 18.9% and 23.7%, respectively. The prevalence of overweight and obesity was higher among those adolescent girls whose parents had completed higher education (49.5%) and had higher monthly per capita household expenditure (48.4%). Stepwise binary logistic regression analysis confirmed that the probability of being overweight/ obese tended to be in adolescents who slept less than 7 hours per day (pem>p=0.002), taken medicines three months before the survey (p=0.008), and watched television and mobile phones for more than 1 hour a day (p=0.039). Rapid change in modern lifestyles is seemingly decreasing sleep duration in adolescents with subsequent negative impact on their health

Growth and Nutritional Status of the Bharia – A Primitive Tribe of Madhya Pradesh

This study is an attempt to understand the physical growth and nutritional status of Bharia, a primitive tribe of Central India. A cross sectional study was conducted on 551 children (283 boys and 268 girls) aged 4 to 18 years. Body weight, height, sitting height, head circumference, upper arm circumference, chest circumference, biceps, triceps, sub scapular and calf skin fold thickness were measured. Body Mass Index was calculated as weight/ height2to calculate chronic energy deficiency. All anthropometric measurements except skin fold measurement exhibit uniform increase with age in both the sexes. Age-specific Body Mass Index (BMI) indicated substantial changes and falls during pre-school age and rise in adolescence. The BMI according to the Indian standard was normal, but when the data was compared with the International standard malnutrition in both sexes was noticed in childhood. Boys remained undernourished after adolescence, while girls reached the normal growth patterns

Applications of regression techniques

This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the full benefits. It also describes some of the techniques developed and used by the authors, presenting their innovative ideas regarding the formulation and estimation of regression decomposition models, hidden Markov chain, and the contribution of regressors in the set-theoretic approach, calorie poverty rate, and aggregate growth rate. Each of these techniques has applications that address a number of unanswered questions; for example, regression decomposition techniques reveal intra-household gender inequalities of consumption, intra-household allocation of resources and adult equivalent scales, while Hidden Markov chain models can forecast the results of future elections. Most of these procedures are presented using real-world data, and the techniques can be applied in other similar situations. Showing how difficult questions can be answered by developing simple models with simple interpretation of parameters, the book is a valuable resource for students and researchers in the field of model building