Background
Studies from India and Africa found that the impact of dairy animal ownership on household nutrition varied greatly, depending on the social and geographic context. There is a paucity of studies from semi-arid rural districts in southern India where livestock rearing is being promoted to improve household income and nutrition as part of watershed development (WSD) projects. The purpose of this study was to (i) assess socio-demographic factors and health determinants of households based on dairy animal ownership; (ii) determine the correlation between milk consumption and other sources of nutrition; and (iii) examine the association between livestock ownership and milk consumption.
Methods
We collected data from an exhaustive household survey in four study villages of Kolar district, applying a cross-sectional design. Kendall’s rank correlation coefficient was employed to determine the correlation between milk consumption and other dietary variables. Multivariable logistic regression was used to describe the relationship between dairy animal ownership and household milk consumption.
Results
Full data records were available from 195 households. Less than half of the households (43.1%) owned dairy animals. Households owning dairy animals more often had access to irrigation (58.3% vs 25.2%) and were less often woman-headed (2.4% vs 22.5%). Household milk consumption was significantly correlated with consumption of vegetable variety, egg and meat (all p-values < 0.05). After adjusting for multiple confounders, the odds of dairy animal-owning households consuming milk was 2.11 (95% confidence interval 0.85, 5.45) compared to households not owning dairy animals.
Conclusion
While dairy animal ownership was found to be associated with improved dietary quality, larger households were in a better position to adopt dairy animals, which, in turn, might contribute to better household nutrition. Our study added to the evidence on health inequity in semi-arid rural areas and the importance of socio-geographical context in determining nutritional impacts of developmental interventions.