Literature DB >> 27821693

Nonnative Cattle Ownership, Diet, and Child Height-for-Age: Evidence from the 2011 Uganda Demographic and Health Survey.

Jamie L Fierstein1, Misha Eliasziw2, Beatrice Lorge Rogers3, Janet E Forrester2.   

Abstract

In underresourced settings where domestic animals and children often cohabitate, there is limited evidence about the net impact of domestic animal ownership on child health. We analyzed the 2011 Uganda Demographic and Health Survey to determine whether household ownership of native cattle, goats, sheep, chickens, pigs, and nonnative cattle was associated with child height-for-age z-scores (HAZ), and to assess the influence of diet on this association in rural and urban environments. Using weighted multivariable linear regression, we found that nonnative cattle ownership was positively associated with HAZ in rural children 0 to < 2 years of age (+1.32 standard deviations [SD], 95% confidence interval [CI] = 0.2-2.5) and 2 to < 5 years of age (+0.58 SD, 95% CI = 0.003-1.2), and urban children 2 to < 5 years of age (+1.08 SD, 95% CI = 0.38-1.8). Sheep ownership was positively associated with HAZ in rural children 2 to < 5 years of age (+0.29 SD, 95% CI = 0.002-0.58) and goat ownership was positively associated with HAZ in rural children 0 to < 2 years of age (+0.27 SD, 95% CI = 0.003-0.55). We observed no other significant associations. Children who lived in households that owned nonnative cattle consumed dairy more frequently; however, the relationship between child HAZ and nonnative cattle ownership was not mediated by child dairy consumption. These findings suggest that domestic animal ownership may not be detrimental to child HAZ, and that nonnative cattle ownership is beneficial for child HAZ through pathways other than dairy consumption. © The American Society of Tropical Medicine and Hygiene.

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Year:  2016        PMID: 27821693      PMCID: PMC5239713          DOI: 10.4269/ajtmh.16-0646

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


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