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Key predictors of undernutrition among children 6-59 months in the Buea Health District of the Southwest region of Cameroon: a cross sectional community-based survey.
Ngassa, Andinwoh Betterdel; Meriki, Henry Dilonga; Mbanga, Clarence Mvalo; Nzefa, Léonie Dapi; Mbhenyane, Xikombiso; Tambe, Ayuk Betrand.
Afiliação
  • Ngassa AB; Department of Public Health and Hygiene, Faculty of Health Sciences, University of Buea, P.O. Box 063, Buea, Cameroon.
  • Meriki HD; Department of Public Health and Hygiene, Faculty of Health Sciences, University of Buea, P.O. Box 063, Buea, Cameroon.
  • Mbanga CM; Clinton Health Access Innitiative, Cameroon office, 3rd Floor, Y-Building Rue 1775 Nouvelle Route Bastos, Yaounde, Cameroon.
  • Nzefa LD; Department of Social Work, Faculty of Social Sciences, Linnaeus University, Växjö, Sweden.
  • Mbhenyane X; Division of Human Nutrition, Department of Global Health, Stellenbosch University, P.O. Box 241, Cape Town, South Africa.
  • Tambe AB; Department of Public Health and Hygiene, Faculty of Health Sciences, University of Buea, P.O. Box 063, Buea, Cameroon. ayuk.betrand@yahoo.com.
BMC Nutr ; 8(1): 148, 2022 Dec 13.
Article em En | MEDLINE | ID: mdl-36514089
BACKGROUND: According to the 2018 Demographic and Health Survey, undernutrition remains a public health problem among Cameroonian children under-five. This varies across the country, greatest in areas with ongoing humanitarian crisis, such as the Southwest region. However, data on the burden of undernutrition in the Southwest region is sparse. This study aimed to assess the prevalence and predictors of undernutrition among children under-five in the Buea health district of the Southwest region of Cameroon. METHODS: This was a community based cross-sectional study of 321 children under-five/caretaker pairs, surveyed from households selected using multistage randomized sampling. Data were collected by trained data collectors, with the aid of a structured, pre-tested questionnaire that captured information on sociodemographic characteristics, food security, dietary diversity and anthropometric measurements. The weight, height/length and mid upper arm circumference (MUAC) were measured using standardized instruments. Stunting, Wasting and Underweight of children were calculated from Z-scores of Height-for-age (HAZ), Weight-for-height (WHZ) and Weight-for-age (WAZ) based on 2006 WHO standards. Data was analysed using SPSS version 27.0. Predictors of malnutrition were obtained using multivariate logistic regression, adjusting for potential confounders. RESULTS: Overall, 31.8% (102/321) of the children were undernourished (26.5% stunted, 1.6% underweight, 3.7% wasted). Drinking water from inappropriate sources (OR: 2.32, 95% CI: 1.30-4.15) and a Dietary Diversity Score < 4 (OR: 2.59, 95%CI: 1.46-4.61) were independently associated with increased risk of stunting. Children of the male sex were more likely to be wasted than females (OR: 5.34, 95%CI: 1.09-26.14). CONCLUSION: Childhood undernutrition, particularly stunting is common in the Buea Health District. Risk factors of undernutrition identified are potentially modifiable, highlighting the need for nutrition specific and sensitive interventions to improve dietary diversity, and the need to improve access to safe drinking water, and educate caretakers on the importance of clean potable water, good sanitation and hygiene for the proper growth and development of their children.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article