title: Is polygyny a risk factor for poor growth performance among Tanzanian agropastoralists?
abstract: Anthropologists and demographers have devoted considerable attention to testing the fertility-polygyny hypothesis, which posits that polygynously married women have lower fertility than their monogamously married counterparts. Much less attention has been paid to the potential impact of polygynous marriages on the health and well-being of children. The objective of this paper was to assess whether polygynous marital status is a risk factor for poor nutritional status and growth performance among a cohort of young Tanzanian children. Using data collected from both wet and dry season periods, we tested for an association from both cross-sectional and longitudinal perspectives. Despite relatively high nutritional status compared to other agropastoralists and horticultural populations, as well as the presence of various socioecological factors that were expected to mitigate any "costs" to polygynous marriage, we found that among our target population, polygynous marital status is a risk factor for poor growth performance. This association is most pronounced in the wet season, and maintains even after allowing for the potential influences of child age and sex, and household characteristics. These results counter our original expectation, and suggest that polygyny is costly to children in this population; this does not appear to be the result of difference in early child environment or household wealth.
authors.affiliation: Department of Anthropology, University of California at Davis, Davis, California 95616, USA.
authors.forename: Craig
authors.initials: C
authors.lastname: Hadley
mesh_terms: D000367:Age Factors; D000884:Anthropology, Cultural; D002648:Child; D002657:Child Development / Q000502:physiology*; D002664:Child Nutritional Physiological Phenomena / Q000502:physiology*; D003430:Cross-Sectional Studies; D006304:Health Status; D006801:Humans; D008137:Longitudinal Studies; D008393:Marriage; D012044:Regression Analysis; D012307:Risk Factors; D012621:Seasons; D012737:Sex Factors; D012931:Social Environment; D013636:Tanzania