[Status of malnutrition and its influencing factors in children under 5 years old in Yunnan Province from 2016 to 2017]

Wei Sheng Yan Jiu. 2022 Jan;51(1):51-55. doi: 10.19813/j.cnki.weishengyanjiu.2022.01.009.
[Article in Chinese]

Abstract

Objective: To analyzing the malnutrition status and influencing factors of children under 5 years in Yunnan Province.

Methods: Multi-stage stratified sampling used in the national survey was performed. The subjects of the study were 2869 children under 5 years, selected from 13 counties(cities) in Yunnan Province from 2016 to 2017. The contents of the investigation included questionnaire survey and anthropometric measurement. Z-scores were calculated according to WHO growth standards by WHO Anthro V3.2.2 software. Non conditional Logistic regression model was used to analyze the multiple factors. SPSS 20.0 statistical software was used to calculate and analyze the malnutrition rate of children.

Results: A total of 2869 children under 5 years old were investigated in Yunnan Province, including 1433 boys(49.95%) and 1436 girls(50.05%). The prevalence of stunting, underweight and wasting of children under 5 years old were 3.46%, 6.37% and 3.42%. Logistic multifactor regression analysis showed that low birth weight(OR=4.368, 95% CI 2.057-9.275), rural area(OR=1.931, 95% CI 1.076-3.462), household use of unsanitary toilets(OR=1.688, 95% CI 1.022-2.790), children without supplemental food(OR=2.000, 95% CI 1.130-3.542) were the most important factors making the child more likely to become malnutrition in 6-23 month age group. Asking children for advice on food selection or cooking(OR=3.570, 95%CI 1.249-10.204) was the most important factors making the child more likely to become malnutrition in 6-23 month age group.

Conclusion: The nutritional status of children under 5 years old in Yunnan Province has been improved, but the prevalence of malnutrition is still high.

Keywords: children; influencing factors; malnutrition.

MeSH terms

  • Child
  • Child, Preschool
  • China / epidemiology
  • Female
  • Humans
  • Male
  • Malnutrition* / epidemiology
  • Nutritional Status
  • Prevalence
  • Thinness / epidemiology