scholarly journals Contextual and Compositional Risk Factors of Overweight and Obesity in India over Two Decades: An Analysis of National Demographic and Health Surveys

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1607-1607
Author(s):  
Jeswin Baby ◽  
Jithin Sam Varghese ◽  
Tinku Thomas ◽  
Shruthi Cyriac ◽  
Shivani Patel
Keyword(s):  
Health Surveys ◽  
Labour Force ◽  
Participation Rate ◽  
Household Wealth ◽  
Individual Characteristics ◽  
Overweight And Obesity ◽  
Demographic And Health Surveys ◽  
Labour Force Participation Rate ◽  
Per Capita ◽  
The Impact

Abstract Objectives Identify contextual (state characteristics) and compositional (individual characteristics) drivers of changes in overweight in women from 1998–2016 across 26 states of India. Methods Nationally representative data on individual socio-demographics and objectively-measured anthropometry for non-pregnant and ever-married women 15–49y were obtained from the Indian National Family Health Surveys (NFHS-2, 1998–99, n = 61,979; NFHS-3, 2005–06, n = 66,694; and NFHS-4, 2015–16, n = 387,732). Individual-level data were merged with year-matched state-level nutritional and economic indicators obtained from multiple national databases. State indicators included per capita consumption of cereals, oils and sugar, per capita gross state domestic product (GDP), literacy rates, labour force participation rate, and population proportion engaged in sedentary employment. Cross-classified generalized linear mixed models (GLMM) with random effects classified each woman by state and round of survey. Models examined overweight/obesity trends as well as estimated the adjusted odds ratios and 95% Bayesian credible intervals for overweight/obesity associated with contextual and individual factors. Results From 1998 to 2016, the prevalence of overweight/obesity increased in all states of India. Higher household wealth (Quintile 5 vs 1: 4.18 [4.06–4.30]), education (post-secondary vs pre-school or less: 1.55 [1.51–1.60]), were associated with higher adjusted odds of overweight/obesity. State average sugar (g; 1.04 [1.03–1.05]) and oil (g; 1.04 [1.03–1.06]) intake, log (GDP per capita) (2.18 [2.14–2.21]) and literacy rates (1.01 [1.01–1.01]) were positively and independently associated with higher odds of overweight. The impact of state characteristics on prevalence of overweight/obesity decreased across rounds. Conclusions While the role of state economic and nutritional context as a driver of overweight has waned over time, contextual indicators remain salient correlates of an individual adult's likelihood of being overweight. Findings suggest that rising overweight in India must be understood and addressed from a socio-ecological lens that considers context alongside individual risks. Funding Sources None.

scholarly journals Fertility and socio-economic determinants: evidence from co-integration and multivariate Granger casualty tests

2016 ◽  
Vol 4 (1) ◽  
pp. 134
Author(s):  
Prakash Kengnal ◽  
Asha Bullappa
Keyword(s):  
Labour Force ◽  
National Income ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Fertility Rate ◽  
Gross National Income ◽  
Female Labour Force Participation ◽  
Labour Force Participation Rate ◽  
Female Labour ◽  
Per Capita

Background: The empirical work on fertility determinants widely discusses the role of socio-economic factors like female labour force participation rate, urban population and per capita gross national income in determining fertility rates. The India’s high fertility rate began to decline gradually after late 1950s and continued to fall since then. India achieved almost 31 per cent decline in fertility rate from 1990 to 2012. The objective was to examine the relationship between fertility rate, urbanization, female labour force participation rate and per capita gross national income for India.Methods: This study covers the sample period from 1990-2012. Moreover, the direction of causality between fertility rate, urbanization, female labour force participation rate and per capita gross national income in India using Granger Causality test within the Vector Error-Correction Model (VECM) are examined.Results: As a summary of the empirical results, we found that fertility rate, urbanization, female labour force participation rate and per capita gross national income in India are co-integrated and there is unidirectional Granger Causality between the four variables in long and short-run.Conclusions: The growth in urban population, female labour force participation rate and per capita gross national income are responsible for the decrease in fertility rate in India.

The Impact of Water on Key Health and Social Outcomes: Evidence from Developed and Developing Countries

2020 ◽  
pp. 378-383
Keyword(s):  
Developing Countries ◽  
Drinking Water ◽  
Universal Access ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Safe Drinking Water ◽  
Labour Force Participation Rate ◽  
Female Labour ◽  
The Impact

Universal access to safe drinking water is one of the keys and important goals from a total of 17 sustainable development targets initiated by the United Nations which have to be achieved by 2030. As many as 1.1 billion people in the world are still living with inadequate access to safe drinking water. In the present study, an attempt was made to analyze the impact of inadequate access to safe drinking water on the different aspects of human life such as health, education and labour force participation rate. The present paper was based on secondary data. The study explores a comparative situation of universal access to safe drinking water in the developed world and inadequate access to the developing one. The problem of access to safe drinking water is more severe in developing countries, predominantly in rural areas. Most of the countries with low access to safe drinking water perform poorly in different health and education related variables. Moreover, the results of the bivariate correlation of developing countries proved that the life expectancy at birth and female labour force participation rate are directly correlated with water coverage of total population whereas, infant mortality rate and mortality rate under five years of age is inversely correlated to the total population with water coverage. In nutshell, it was observed that the greater access to adequate safe drinking water positively affects the outcome of health, educational attainments, and the female labour force participation rate.

scholarly journals Wasting and Associated Factors among Children under 5 Years in Five South Asian Countries (2014–2018): Analysis of Demographic Health Surveys

2021 ◽  
Vol 18 (9) ◽  
pp. 4578
Author(s):  
Nidhi Wali ◽  
Kingsley E. E. Agho ◽  
Andre M. N. Renzaho
Keyword(s):  
South Asia ◽  
South Asian ◽  
Health Surveys ◽  
Associated Factors ◽  
Common Factor ◽  
Household Wealth ◽  
Health Concern ◽  
Demographic And Health Surveys ◽  
Asian Countries ◽  
Sampling Weights

Child wasting continues to be a major public health concern in South Asia, having a prevalence above the emergency threshold. This paper aimed to identify factors associated with wasting among children aged 0–23 months, 24–59 months, and 0–59 months in South Asia. A weighted sample of 564,518 children aged 0–59 months from the most recent demographic and health surveys (2014–2018) of five countries in South Asia was combined. Multiple logistic regression analyses that adjusted for clustering and sampling weights were used to examine associated factors. Wasting prevalence was higher for children aged 0–23 months (25%) as compared to 24–59 months (18%), with variations in prevalence across the South Asian countries. The most common factor associated with child wasting was maternal BMI [adjusted odds ratio (AOR) for 0–23 months = 2.02; 95% CI: (1.52, 2.68); AOR for 24–59 months = 2.54; 95% CI: (1.83, 3.54); AOR for 0–59 months = 2.18; 95% CI: (1.72, 2.77)]. Other factors included maternal height and age, household wealth index, birth interval and order, children born at home, and access to antenatal visits. Study findings suggest need for nutrition specific and sensitive interventions focused on women, as well as adolescents and children under 2 years of age.

scholarly journals Observed magnitude and trends in socioeconomic and geographic area inequalities in obesity prevalence among non-pregnant women in Chad: evidence from three waves of Chad demographic and health surveys

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Gebretsadik Shibre ◽  
Betregiorgis Zegeye ◽  
Gashaw Garedew Woldeamanuiel ◽  
Wassie Negash ◽  
Gorems Lemma ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Health Surveys ◽  
Population Attributable Risk ◽  
Population Attributable Fraction ◽  
Overweight And Obesity ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Obesity Prevalence ◽  
Place Of Residence ◽  
Urban Rural

Abstract Background While the prevalence of obesity is increasing worldwide, the growing rates of overweight and obesity in developing countries are disquieting. Obesity is widely recognized as a risk factor for non-communicable diseases (NCDs), including diabetes, cancer and cardiovascular diseases. Available evidence on whether obesity has been more prevalent among higher or lower socioeconomic groups, across regions and urban-rural women’s are inconsistent. This study examined magnitude of and trends in socioeconomic, urban-rural and sub-national region inequalities in obesity prevalence among non-pregnant women in Chad. Method Using cross-sectional data from Chad Demographic and Health Surveys (DHSs) conducted in 1996, 2004 and 2014; we used the World Health Organization (WHO) Health Equity Assessment Toolkit (HEAT) to analyze socio-economic, urban-rural and regional inequalities in obesity prevalence among non-pregnant women aged 15–49 years. Inequalities were assessed using four equity stratifiers namely wealth index, educational level, place of residence and subnational region. We presented inequalities using simple and complex as well as relative and absolute summary measures such as Difference (D), Population Attributable Risk (PAR), Population Attributable Fraction (PAF) and Ratio (R). Results Though constant pattern overtime, both wealth-driven and place of residence inequality were observed in all three surveys by Difference measure and in the first and last surveys by Ratio measure. Similarly, including the recent survey (D = -2.80, 95% CI:-4.15, − 1.45, R = 0.37, 95% CI: 0.23, 0.50) absolute (in 1996 & 2014 survey) and relative (in all three surveys) educational status inequality with constant pattern were observed. Substantial absolute (PAR = -2.2, 95% CI: − 3.21, − 1.34) and relative (PAF = − 91.9, 95% CI: − 129.58, − 54.29) regional inequality was observed with increasing and constant pattern by simple (D) and complex (PAR, PAF) measures. Conclusion The study showed socioeconomic and area-based obesity inequalities that disfavored women in higher socioeconomic status and residing in urban areas. Prevention of obesity prevalence should be government and stakeholders’ priority through organizing the evidence, health promotion and prevention interventions for at risk population and general population.

Maternal Correlates of Poliomyelitis Vaccination Uptake: Evidence from Afghanistan, Pakistan, and Nigeria

2021 ◽  
Author(s):  
Muhammad Muzammil ◽  
Sameen Zafar ◽  
Shazia Aziz ◽  
Muhammad Usman Bhutta ◽  
Rafi Amir-Ud-Din
Keyword(s):  
Multinomial Logistic Regression ◽  
Viral Disease ◽  
Household Wealth ◽  
Demographic And Health Surveys ◽  
Wealth Status ◽  
Vaccination Uptake ◽  
Agriculture Sector ◽  
Polio Vaccination ◽  
Working Status ◽  
The Impact

Poliomyelitis (polio) is a communicable viral disease that mainly affects under-5 children. This study focuses on the impact of women’s empowerment and women’s working status on the uptake of polio vaccination of children in polio-endemic countries, including Pakistan and Afghanistan, and Nigeria, the latter of which has recently been declared polio-free. The polio vaccination status can be divided into no vaccination (NV), incomplete vaccination (IV), and complete vaccination. We used data from the most recent Demographic and Health Surveys (DHS) rounds for this manuscript. Multinomial logistic regression-based estimates suggest that mothers’ working status, empowerment, age, education, father’s education, and household wealth status reduce the risk of NV and IV in the polio-endemic countries (Afghanistan and Pakistan) and Nigeria. In addition, the mothers’ working status, empowerment, age, education, and father’s education increase the child’s healthcare information that helps complete polio vaccination of the child. On the other hand, the children whose mothers work in the agriculture sector or are engaged in a blue-collar job are more likely to remain unvaccinated than women in white-collar jobs. Similarly, mothers engaged in government jobs are more likely to get their children fully vaccinated than unemployed mothers. Thus, as a child’s polio vaccination is strongly dependent on a mother’s working status and empowerment, the focus of public policy on empowering women and promoting their labor force participation may increase polio vaccination uptake, besides adopting other measures to increase immunization.

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