2020
DOI: 10.1136/bmjopen-2019-036350
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Individual-level predictors of practices of nutrition-specific and nutrition-sensitive interventions for infants and young children in West and Central Africa: a cross-sectional study

Abstract: ObjectivesTo explore the role of individual-level and household-level characteristics for practice of nutrition-specific and nutrition-sensitive interventions.DesignSecondary data analysis (cross-sectional).SettingWest and Central Africa.ParticipantsData are from the Demographic and Health Surveys in the time period between 1986 and 2016. The final sample included between 116 325 and 272 238 observations depending on the outcome.Primary and secondary outcome measuresNutrition-specific and nutrition-sensitive i… Show more

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Cited by 4 publications
(1 citation statement)
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“…Additionally, heightened COVID-19 concern among more educated individuals could have Therefore, our findings suggest good VAS compliance across socio-economic strata, also possibly due to effective community sensitisation strategies. While our findings contrast with available evidence from SSA indicating higher VAS uptake among advantaged children with educated mothers and wealthier households (12,(14)(15)(16)(17)(18)(19)(20)(21) , large multicountry studies tend to pool data from various delivery models, thereby potentially masking key contributors to VAS uptake. We hypothesise that education and wealth status may not be key determinants of VAS coverage in door-to-door delivery models, but rather more significant factors in facility-based programmes that require active seeking of health services.…”
Section: Discussioncontrasting
confidence: 99%
“…Additionally, heightened COVID-19 concern among more educated individuals could have Therefore, our findings suggest good VAS compliance across socio-economic strata, also possibly due to effective community sensitisation strategies. While our findings contrast with available evidence from SSA indicating higher VAS uptake among advantaged children with educated mothers and wealthier households (12,(14)(15)(16)(17)(18)(19)(20)(21) , large multicountry studies tend to pool data from various delivery models, thereby potentially masking key contributors to VAS uptake. We hypothesise that education and wealth status may not be key determinants of VAS coverage in door-to-door delivery models, but rather more significant factors in facility-based programmes that require active seeking of health services.…”
Section: Discussioncontrasting
confidence: 99%