Women’s Autonomy, Women’s Status and Nutrition in India
123Sandip Chakraborty, Kaushlendra Kumar and Faujdar Ram
The constitution of India makes no distinction between the sexes. But this politically granted equality has not been very evident in practice and the social and economic status of women has not been on par with that of men. There is a need to study the differences in status of men and women in India, and, the changes that have occurred in these differences over time.
Several indicators like expectation of life at birth, adulthood literacy, workers in the modern sector, singulate mean age at marriage etc. were selected to study the relative status of men and women at several points of time, at a macro level. The data for the present study have been taken from different Censuses (particularly from 1971 to 2001) and Sample Registration System. Taxanomic method is used to classify and compare the status of men and women in the major states of India for the several periods. Cluster analysis has been performed to show the homogeneity among the several states in India in terms of status of men and women both.
The result shows that the gap between status of men and women are closer over the period and particularly in the period between 1991 and 2001. The status of men and women are high in the states like Kerala, Punjab etc. Though there is no difference in the clustering of states in terms of status for the period 1971 and 1981, but for the period 1991 and 2001, position of some states have changed.
1 Research Scholar, International Institute for Population Sciences, Mumbai-400 088, email: firstname.lastname@example.org
2 MPS Scholar, International Institute for Population Sciences, Mumbai-400 088, email: email@example.com
3 Prof. and Head, Department of Fertility Studies, International Institute for Population Sciences, Mumbai-400 088, email: firstname.lastname@example.org
Measuring women‟s status and autonomy can be problematic. Women‟s status has traditionally been measured using education and employment status variables. In a study of female autonomy in India, Dyson and Moore (1983) stated that autonomy represents the „capacity to manipulate one‟s personal environment,‟ and that „equality of autonomy between the sexes…implies equal decision-making ability with regard to personal affairs.‟ Autonomy
has thus increasingly been defined as a woman‟s „ability or lack thereof to make decisions in
the household‟ (Hindin, 2000b). Higher levels of women‟s autonomy, though context-
specific and therefore measured slightly differently in different studies, have been associated with nutritional status (Hindin, 2000a), maternal health care utilization (Beegle, Frankenberg & Thomas, 2001; Bloom, Wypij, Das Gupta, 2001), and fertility behaviors and contraceptive use (Balk, 1994; Hindin, 2000b; Govindasamy & Malhotra, 1996; Al Riyami, Afifi & Mabri, 2004; Moursund & Kravdal , 2003), lower rates of child mortality (Castle, 1993). Malhotra et al. (2002) provide an overview of women‟s status, empowerment, and decision-making
autonomy, and a review of the literature linking these variables to health outcomes.
In developing countries females are in disadvantageous position with regard to health and well being (Santow, 1995). The cultures of South Asia are largely gender stratified, characterized by patrilineal descent, patrilocal residence, inheritence and succession practices that exclude women, and hierarchical relations in which the patriarch or his relatives have authority over family members (Jejeebhoy and Sathar, 2001). Patriarchal kinship and economic systems limit women‟s autonomy and as a result the health status of both women
and children, particularly female children, suffers in relation to that of males (Caldwell, 1986).
Autonomy and Nutrition:
Although women have tended to be producers for the family in many agricultural settings, their lack of access to the income from this labour leaves them resource-poor (Abbas, 1997). There has been some evidence to suggest that women who have lower levels of autonomy and status within in the household are more likely to experience under nutrition (Hindin, 2000) or have a lower BMI (Bindon & Vitzthum, 2002; Baqui et.al, 1994).
Aim of the Study:
The purpose of the study is to explore the extent of women‟s autonomy and its relationship with the nutritional status of the women in India. The core hypothesis behind the paper is that, women with low autonomy and status will be less likely to obtain adequate food resources and will be more likely to experience under nutrition or Chronic Energy Deficiency (CED).
The nationwide data from India‟s National Family Health Survey (NFHS-2)
conducted during 1998-99 was used for this study. This survey covered a representative sample of 90,303 ever married women in the age group of 15-49 years, from 27 states of India. The sample comprised more than 99 percent of India‟s population (IIPS, 2000). The
survey used uniform questionnaires, sample designs, and field procedures to facilitate comparability of the data within the country, so as to achieve a high level of data quality.
For the purposes of the study, the sample was limited to non-pregnant married women who had not given birth in the last three months. These constraints led to a sample of 74, 391 women in India.
Measure of Nutrional Status:
National Family Health Survey provides the information on height and weight of the
woman. Based on these two information, Body Mass Index (BMI) is calculated to the
restricted population. Lastly, a dichotomous measure, Chronic Energy Deficiency (CED), 2based on the standard BMI cutoff of<18.5 kg/m was generated. This measure was used as a
nutritional status of the individual.
Measures of Sociodemographic characteristics, Women’s and Partners’ characteristics:
The Sociodemographic characteristics of the sample are divided into two groups: household level characteristics and women characteristics. The household level characteristics include: i) Residence ii) Caste iii) Religion iv) Standard of living v) Size of the household and vi) Husband living in the household.
The women characteristics included in the analysis: i) Age ii) Number of births iii)
Education and iv) Occupation. Education (for both the respondent and her partner/husband) was divided into four categories viz. Illiterate, Up to Primary, Up to secondary and higher.
Occupation (for both the respondent and her partner/husband) was coded into five categories viz. Unemployed or not-working, working in agricultural, unskilled/skilled manual, non-manual and professional.
Partners‟ characteristics include: i) Education and ii) Occupation.
Measures of Women’s relative status, Women’s status in society and Decision-making Autonomy:
Women’s relative status: Women‟s relative status is conceptualized as their status relative to their partner‟s status in terms of age, education and occupation. For age, three categories
were used based on the continuous measures of age:
a) respondents were four or more years older than their partners
b) respondents were six or more years younger than their partners
c) everyone else who was near the same age as their partners Relative educational status was calculated as a difference between the partners‟ schooling levels with three categories:
a) respondent has more
b) the couple has same level
c) the partner has more
A relative occupational difference was calculated using the five occupational levels with three categories:
a) respondent has more
b) the couple has same level
c) the partner has more
Women’s status in society: In National Family Health Survey, women were asked about their attitudes toward wife beating. The women were asked to give their opinion about the justification of wife beating by their husband in the following situations:
a) if she is unfaithful
b) if her family does not give money
c) if she shows disrespects
d) if she goes out without permission
e) if she neglects children and house
f) if she does not cook properly
From these dichotomus variables (yes/no), an index was created based on whether women think it is justified for a husband to beat his wife, under any of the circumstances. This variable is used as a proxy to measure women‟s status.
Measures of decision making: In the National Family Health Survey, women were asked
about the person who has the final say or she has to need any permission over the following aspects:
a) Final say over what to cook
b) Final say over health care
c) Final say about purchase jewelry
d) Final say about staying with family
e) Permission to visits relatives and friends house
f) Permission to go to market
g) Allowed to have money set aside
For each of these questions, the women were given the following response options:
c) respondent and husband/partner jointly
d) someone else
e) respondent and someone else jointly
A set of dichotomous variables was created for each of the decision making dimension to reflect patterns of decision making. For each domain, the variable was coded as 1 if the women had the final say over that decision alone and 0 if the women did not have the final say. An index of autonomy was constructed on the basis of the decision taken by the women alone. Index of autonomy is a simple measure by summing up all the domains where the women (alone) had the final say. This index is categorized into three categories:
a) low (if the index lies between 0-2)
b) medium (if the index lies between 3-4)
c) high (if the index value is 5 or more)
Statistical analysis: Univariate and Bivariate analyses were used to study the level of autonomy, women‟s status and nutritional status of women. Multivariate analyses were used to explore the determinants of Chronic Energy Deficiency (CED) and the level of autonomy. The multivariate analyses were done by Binary and Multinomial logistic regression analysis.
Binary Logistic Regression: The basic form of the logistic regression is
Where is constant, are the coefficients of bb,b,............,bx,x...........x12k1