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Effect of maternal employment on child nutritional status in Bale Robe Town, Ethiopia: a comparative cross-sectional analysis

Bezawit Ketema, Tafese Bosha, Fentaw Wassie Feleke

2022Journal of Nutritional Science20 citationsDOIOpen Access PDF

Abstract

Adequate nutrition is essential for early childhood to ensure healthy growth, proper organ formation, and function, a strong immune system, neurological and cognitive development. The main aim of the present study was to assess the effect of maternal employment on nutritional status among children aged 6-23 months in the town of Bale Robe, Ethiopia. A community-based comparative cross-sectional study was conducted on about 597 (293 unemployed and 304 employed) having children aged 6-23-month-old children sampled were employed with a multistage sampling technique. A face-to-face interview was conducted using a structured pretested questionnaire. Descriptive statistics, binary and multivariable logistic regression analyses were used for the statistical analysis. The magnitude of stunting (39.9 %), underweight (39⋅9 %) and wasting (22⋅2 %) was greater in 6-23-month-old children born to employed mothers than their counterparts in unemployed ones [stunted (31⋅3 %), underweight (24⋅0 %) and wasted (11⋅8 %)]. Being a girl [AOR 0⋅31; 95 % CI (0⋅17, 0⋅54)] in employed mothers and [AOR 0⋅29; 95 % CI (0⋅16, 0⋅51)] in unemployed people significantly protected stunting. This study demonstrated that the nutritional status of 6-23-month-old children is better among unemployed mothers than among employed mothers. Therefore, concerted efforts may decrease child undernutrition in a study area.

Topics & Concepts

UnderweightWastingMalnutritionGirlMedicineCross-sectional studyLogistic regressionEnvironmental healthDescriptive statisticsDemographyPediatricsOverweightBody mass indexPsychologyMathematicsEndocrinologyStatisticsDevelopmental psychologySociologyInternal medicinePathologyChild Nutrition and Water AccessPoverty, Education, and Child WelfareFood Security and Health in Diverse Populations
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