Predictor of Obese Mothers and Stunted Children in the Same Roof: A Population-Based Study in the Urban Poor Setting Indonesia

Stunting leads to the poor cognitive development, increases the risk of child mortality, and elevates the risk of non-communicable diseases. This study aimed to determine the magnitude of double burden of malnutrition (DBM) in the urban poor setting in Indonesia and investigate its predictors. This...

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Main Authors: Qonita Rachmah, -, Trias Mahmudiono, -, Su Peng Loh, -
Format: Article PeerReviewed
Language:English
English
English
Published: Frontiers Media S.A. 2021
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Online Access:https://repository.unair.ac.id/125135/2/C32_Artikel.pdf
https://repository.unair.ac.id/125135/1/C32_Turnitin.pdf
https://repository.unair.ac.id/125135/1/C32_Validasi.pdf
https://repository.unair.ac.id/125135/
https://www.frontiersin.org/journals/nutrition
https://doi.org/10.3389/fnut.2021.710588
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Institution: Universitas Airlangga
Language: English
English
English
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Summary:Stunting leads to the poor cognitive development, increases the risk of child mortality, and elevates the risk of non-communicable diseases. This study aimed to determine the magnitude of double burden of malnutrition (DBM) in the urban poor setting in Indonesia and investigate its predictors. This was a cross-sectional study involving 436 mothers proportionally chosen from 16 integrated health posts in Surabaya, Indonesia. The households were categorized into the two groups based on the body mass index (BMI) of mother and the height-for-age z-score (HAZ) of child; households without DBM and household with DBM. Energy, carbohydrate, protein, and fat intake were obtained using 24-h food recall and socioeconomic status was measured using a structured questionnaire. Data on socioeconomic status were educational level of mother and occupation, household income, and food expenditure. The prevalence of household with DBM was 27.5%; 12.4% pair stunted children and normal weight mother; 45.6% pair of overweight/obese mother and normal height children. The logistic regression analysis showed significant differences in the education level and occupation of mother, protein intake of the children, and fat intake of the mother between households with and without DBM. This study offers an important insight to improve the knowledge of mother related to the protein intake of children to reduce stunting risk and fat intake of mother to prevent over-nutrition.