This study investigates the severity and distribution of anemia among nonpregnant and pregnant women aged 15 to 49 years in urban and rural sectors of 26 states in India and its association with certain economic and biosocial factors. A national survey was conducted to collect data on hemoglobin, height, weight, and certain economic and biosocial factors of 72 660 nonpregnant and 5619 pregnant women. Nonpregnant women aged less than 25 years are most affected by anemia. Women's education and standard of living in the households have a vital role in reducing anemia. Urban and well-nourished women also suffer less from anemia. The severity of anemia is higher among pregnant than nonpregnant women. Efforts must be made to educate women and enhance their level of economic status so that the prevalence of anemia can be reduced substantially.

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The extent of anemia and its socioeconomic determinants among the preschool children (6-59 months old) in India have been studied in this article. Relevant data are taken from the third round of the National Family Health Survey. The initial analysis reveals some interesting features. The most affected children are in the age-group of 6 to 23 months. Beyond this age a decreasing trend is observed up to the age of 48 to 59 months. The highest and the lowest prevalence of anemia have been found to be in the central and the northeast zones, respectively. The vulnerable groups are the children of illiterate parents and those belonging to the poor families in the rural areas. Categorical logistic regression also confirms that status of literacy and wealth of parents have strong negative association with the status of anemia of the children.

We investigate the nutritional status of women in India and its relation to the prevalence of chronic energy deficiency (CED) and obesity. To do this, we have used the data from the Indian National Family Health Survey, 1998-1999, on body mass index (BMI) of ever-married women, ages 15-49 years, along with several socioeconomic factors, such as level of education, religion or caste, occupational status, and standard of living index. The study was based on 81,712 women from 26 states and 6 zones, which were grouped according to geographic proximity of the states of India. A multiple linear regression analysis was done to see the relation between nutritional status of women and different socioeconomic factors. The data reveal that the prevalences of CED, overweight, and obesity in India are 31.2%, 9.4%, and 2.6%, respectively. The incidences of CED and obesity are negatively related. The prevalence of CED is the lowest in Arunachal Pradesh and highest in Orissa. Punjab has the highest prevalence of obesity, and Bihar has the lowest. For the zonewise distribution the Northeast zone has the lowest degree of prevalence of CED and the East zone is at the bottom of the list with the highest degree of malnutrition. We also found that the nutritional status of women goes together with the enhancement of their educational status, standard of living, and so on. There are also significant differences between rural and urban sectors and among castes, religions, and occupations. Furthermore, regression analysis shows that all the socioeconomic variables considered here significantly affect BMI in Indian women.

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.