Suchergebnisse

AbstractIndia is the highest contributor to child anaemia among developing countries. To see the latest picture of child anaemia in India, data for 6- to 59-month-old children were taken from the fourth round of the National Family Health Survey conducted in 2015–16 (NFHS-4). The study sample consisted of 1,37,347 children. The dependent variable was the anaemia status of the child. The objectives of the study were to assess (i) the distribution of anaemia prevalence by child age group, (ii) the prevalence of child anaemia by zone and state and (iii) the relation of child anaemia prevalence with social, demographic and economic variables, including maternal nutritional status and low birth weight. The study found that in India in 2015–16, 56% of 6- to 59-month-old children were anaemic – a decrease of only 13.5 percentage points since the NFHS-3 study conducted in 2005–06. It is well known that iron supplementation is necessary for child growth and brain development. This study suggests that, in addition, the socioeconomic conditions of households in India need to be improved to prevent child anaemia. Low birth weight and low maternal nutritional status are also responsible for the high prevalence of anaemia among children in India.

SummaryThe aim of this paper is to assess the spatial distribution of nutritional status of children of less than three years through Z-scores of weight-for-age, height-for-age and weight-for-height using data collected by the National Family Health Survey (NFHS-2, 1998–99), India. The nutritional status of pre-school children was regressed on different socio-demographic factors after eliminating the effect of age. The data show that there are gender differences and spatial variations in the nutritional status of children in India. Gender difference is not very pronounced and almost disappears when the effects of age and socio-demographic variables are removed. The spatial difference, especially the rural–urban difference, was found to be very large and decreased substantially when the effects of age and socioeconomic variables were removed. However, the differences were not close to zero. All the variables were found to affect significantly the nutritional status of children. However, the literacy of mothers did not affect height-for-age significantly. The weight-for-age and height-for-age scores showed a dismal picture of the health condition of children in almost all states in India. The worst affected states are Bihar, Madhya Pradesh, Orissa and Uttar Pradesh. Assam and Rajasthans are also lagging behind. Weight-for-height scores do not give a clear picture of state-wise variation. Goa, Kerala and Punjab are the three most developed states in India and also have the lowest percentages of underweight children according to the Z-scores. Along with these three states come the north-eastern states where women are well educated. Thus overall development, enhancement of level of education and low gender inequality are the key factors for improvement in the health status of Indian children.

AbstractThe latest National Family Health Survey conducted in 2015–16 (NFHS-4) showed that malnutrition and anaemia still pose huge health challenges in India. Data on 651,642 adult non-pregnant women aged 15–49 years were taken from the survey to study the nutritional and anaemia statuses of adult women by Indian zone and state. The relationships of these two variables with the women's urban/rural place of residence, education level, religion and eating habits, and wealth index of the family, were assessed. Body Mass Index (BMI) and haemoglobin level were used to assess nutritional status and level of anaemia, respectively. The results show that in 2015–16 in India the percentages of underweight and obese/overweight people were 22.4% and 18.4%, respectively. The percentages of undernutrition and overnutrition were more or less same. The percentage of underweight people was higher in the middle belt region of India. Zones with high levels of overweight or obesity were concentrated in the West, North and South zones. A comparison of the two national-level data sets, i.e. NFHS-4 and NFHS-3, showed that the prevalences of undernutrition and anaemia reduced by 13 and 5 percentage points, respectively, from NFHS-3 to NFHS 4, i.e. over the 10-year period from 2004–05 to 2015–16, whereas overnutrition increased by 4 percentage points during this period. Analysis of possible socio-demographic factors and eating habits thought to influence underweight, obesity and anaemia revealed substantive causal relations. More specifically, education and eating habit were found to influence underweight, overweight or obesity and anaemia significantly. The nutritional status of a woman was also found to depend on household income.

SummaryIt is well known that height and weight are interrelated, and that both are related to socioeconomic variables. The objective of this study was to assess the effect of socioeconomic variables on the heights and weights of different groups of people, formed according to different levels of heights and weights, and to see whether there are sex differences in the variations in heights and weights. Data for adults aged 15–49 years were taken from the India National Family Health Survey-3 and descriptive studies and multiple linear regression analyses carried out. A clear positive association was found for height and BMI with economic level (except for overweight females in the case of BMI). In the case of BMI, it is age that seems to be the most influential factor. Surprisingly, the observed changes in height and BMI are not as expected for short and tall or underweight and overweight people; these sometimes behave in the opposite directions to that of normal height and weight people. The basic assumption of multivariate normality is not valid due to changing relations at different height and BMI levels.

Malnutrition among children is prevalent in almost all the states in India. This study assesses the extent and causes of malnutrition in two eastern Indian states with similar climates, namely West Bengal and Assam, using data from the National Family Health Survey 1998–99 (NFHS-2). The three indices of malnutrition taken for analysis are weight-for-height (WHZ), height-for-age (HAZ) and weight-for-age (WAZ). These are assumed to depend on birth order, preceding birth interval, parent's educational status, working status of the mother, mother's age at delivery of the children, source of drinking water, toilet facilities and standard of living of the household. Logistic regression was carried out separately for each of the three indices on the explanatory variables for both the states. It was found that not all variables are equally important in determining whether a baby is underweight, or suffering from acute or chronic malnutrition. Also, the importance of variables is not the same in the two states. It was observed that the coefficients associated with the variables in determining weight-for-height are not significant compared with those for weight-for-age and height-for-age.