Association of Mother's Decision-Making Autonomy and Presence ofGrandparents in the Household with Child Growth in India Pubblico
Kaur, Karmjeet (2017)
Abstract
Introduction: Low height-for-age in childhood, or stunting, is a form of growth failure that leads to several short and long-term adverse consequences including poor mental development, physical morbidities, and mortality. Using recent national survey data, we investigated the interplay between mother's autonomy in decision-making and the presence of grandparents in the household on child height-for-age in India, a setting with disproportionate levels of stunting. As a secondary objective, we also sought to identify household socio-demographic correlates of child height.
Methods: We conducted a secondary analysis of the India Human Development Survey 2011-12 (IHDS-II). A total of 9202 children ages zero to five with complete covariates were analyzed. Decision-making autonomy was a composite of 8 indicators categorized as "high" or "low." Co-residing grandparents were classified as being maternal grandparent(s) only, paternal grandparent(s) only, or both maternal and grandparents; no co-residing grandparents served as the reference. Linear regression was used to assess the associations of maternal decision-making, presence of grandparents, and other socio-demographic factors with child height-for-age z-scores (HAZ). All analyses accounted for the complex survey design.
Results: Children were an average age of 2.6 years and had mean HAZ of -2.2. About 77% of their mothers reported high decision-making autonomy, 54% of children lived with at least one grandparent in the household. There was no statistically significant association between decision-making autonomy and child HAZ before (-0.08; 95% CI: -0.25, 0.095) or after (-0.04; 95% CI: -0.21, 0.14) adjustment. Relative to no grandparents, the presence of paternal grandparent(s) only was positively associated with child HAZ in unadjusted models (0.33; 95%CI: 0.21, 0.45), but this association was attenuated and not statistically significant after socio-demographic adjustment (0.15; 95%CI: -0.05, 0.35). Household income and parental education were the most salient socio-demographic correlates of child height. Findings were robust to treating child weight-for-age, an alternative child growth measure, as the outcome.
Conclusion: Although mother's decision-making autonomy was not associated with child height-for-age, children who co-resided with paternal grandparents tended towards higher attainment of height-for-age. The findings beg further investigation of the role of grandparents in child growth in Indian households.
Table of Contents
List of Tables and Figures. viii
Chapter 1: Introduction and Literature Review. 1
1.1 Child growth failure: a global public health problem. 1
1.2 Child height-for-age: An informative indicator of child growth. 1
1.2.1 Impact of childhood stunting on later life health. 2
1.3 Causes of child growth failure. 3
1.4 Women's empowerment as a potential leverage point to reduce childhood growth failure. 5
1.5 Measuring empowerment: Women's decision-making autonomy. 5
Table 1. Conceptualization and Operationalization of Women's Decision-Making Autonomy. 6
1.6 Literature regarding decision-making power and nutrition. 7
1.7 Presence of grandparents and influences on decision-making. 11
1.7 Summary. 16
1.8 Problem Statement. 16
1.7 Purpose Statement. 17
1.8 Objectives. 17
Chapter 2: Project Contents. 19
Methods. 19
2.1 Introduction. 19
2.2 Data Source and Sample. 19
2. 3 Study Measures. 20
2.3.1 Study Outcomes. 20
2.3.2 Household caregiving environment. 20
2.3.3 Socio-demographic covariates. 22
2.3.4 Statistical analysis. 22
2.4 Ethical considerations. 24
Results. 24
2.5 Findings. 24
2.5.1 Description of child socio-demographic characteristics and anthropometry. 24
2.5.2 Mother's decision-making autonomy and grandparent(s) in the household. 25
2.5.3 Relationship of socio-demographic characteristics with child growth. 28
Chapter 3: Discussion and Recommendations. 30
3.1 Discussion. 30
3.2 Strengths and Limitations. 32
3.3 Conclusion. 33
3.4 Recommendations. 33
References. 36
Tables and Figures. 39
Appendix A: Supplemental Tables and Figures. 45
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