2022
DOI: 10.1016/j.ijheh.2022.114024
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Global practices, geographic variation, and determinants of child feces disposal in 42 low- and middle-income countries: An analysis of standardized cross-sectional national surveys from 2016 – 2020

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Cited by 10 publications
(11 citation statements)
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“…The findings from the multilevel logistic regression model show that the predictors such as mother’s age, education, mass media exposure, religion, social group, wealth quintiles, water connectivity, and improved sanitation facility at household, residence, and region are significantly associated with the unsafe disposal of child stool. These results align with micro-level studies in India [ 1 , 17 , 18 ] and large-scale studies conducted in Bangladesh and sub-Saharan Africa [ 11 13 , 15 , 23 ].…”
Section: Discussionsupporting
confidence: 88%
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“…The findings from the multilevel logistic regression model show that the predictors such as mother’s age, education, mass media exposure, religion, social group, wealth quintiles, water connectivity, and improved sanitation facility at household, residence, and region are significantly associated with the unsafe disposal of child stool. These results align with micro-level studies in India [ 1 , 17 , 18 ] and large-scale studies conducted in Bangladesh and sub-Saharan Africa [ 11 13 , 15 , 23 ].…”
Section: Discussionsupporting
confidence: 88%
“…The present study consisted of a set of predictors based on existing studies in different settings [ 11 , 12 ], including the women’s age (15–19 years, 20–24 years, 25–29 years, ≥30 years), women’s education (no education, primary, secondary, higher), religious affiliation (Hindu, Muslim, Christian, others), social groups (general [GEN], scheduled caste [SC], scheduled tribe [ST], other backward class [OBC]), place of residence (urban, rural), household wealth quintiles (poorest, poorer, middle, richer, richest), mass media exposure (no, partial, high), drinking water facility at premises (yes, no), sanitation facility (improved, unimproved, open defecation/no facility), geographical location (north, central, east, northeast, west, south). A detailed description of predictor variables is given in S1 Table .…”
Section: Methodsmentioning
confidence: 99%
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“…The selection of these variables was based on their availability in the DHS dataset and their association with the hygienic disposal of a child's stool. 9,22,28,[37][38][39] The individual-level variables included maternal age (15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49), employment status (working or not working), educational level (no education, primary, secondary or higher), partner's educational level (no education, primary, secondary or higher), religious affiliation (Christianity, Islam, Traditionalist or other), marital status (married, cohabiting or widowed/divorced) and exposure to mass media (either exposed or unexposed). The household-level variables included wealth (poorest, poorer, middle, richer or richest), source of water facility (either improved or unimproved), type of toilet facility (either improved or unimproved), place of residence (urban or rural) and sub-region (Western SSA, Eastern SSA, Central SSA or Southern SSA).…”
Section: Explanatory Variablesmentioning
confidence: 99%