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Socioeconomic determinants of growth in a longitudinal study in Nepal.
- Source :
- Maternal & Child Nutrition; Jan2018, Vol. 14 Issue 1, pn/a-1, 8p
- Publication Year :
- 2018
-
Abstract
- Socioeconomic status (SES) is associated with childhood anthropometry, but little is known about how it is associated with tissue growth and body composition. To investigate this, we looked at components of SES at birth with growth in early and mid-childhood, and body composition in a longitudinal study in Nepal. The exposure variables (material assets, land ownership, and maternal education) were quantified from questionnaire data before birth. Anthropometry data at birth, 2.5 and 8.5 years, were normalized using WHO reference ranges and conditional growth calculated. Associations with child growth and body composition were explored using multiple regression analysis. Complete anthropometry data were available for 793 children. There was a positive association between SES and height-for-age and weight-for-age, and a reduction in odds of stunting and underweight for each increase in rank of SES variable. Associations tended to be significant when moving from the lower to the upper asset score, from none to secondary education, and no land to >30 dhur (~500 m<superscript>2</superscript>). The strongest associations were for maternal secondary education, showing an increase of 0.6-0.7 z scores in height-for-age and weight-for-age at 2.5 and 8.5 years and 0.3 kg/m<superscript>2</superscript> in fat and lean mass compared to no education. There was a positive association with conditional growth in the highest asset score group and secondary maternal education, and generally no association with land ownership. Our results show that SES at birth is important for the growth of children, with a greater association with fat mass. The greatest influence was maternal secondary education. [ABSTRACT FROM AUTHOR]
- Subjects :
- EDUCATIONAL attainment
ANTHROPOMETRY
BODY composition
COMPARATIVE studies
CONFIDENCE intervals
HUMAN growth
LONGITUDINAL method
MATHEMATICS
MOTHERS
QUESTIONNAIRES
REFERENCE values
REGRESSION analysis
RESEARCH funding
LOGISTIC regression analysis
MULTIPLE regression analysis
SOCIOECONOMIC factors
DATA analysis software
DESCRIPTIVE statistics
ODDS ratio
Subjects
Details
- Language :
- English
- ISSN :
- 17408695
- Volume :
- 14
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Maternal & Child Nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 126849330
- Full Text :
- https://doi.org/10.1111/mcn.12462