Effectiveness of an educational intervention on complementary feeding practices and growth in rural China: a cluster randomised controlled trial

Public Health Nutr. 2010 Apr;13(4):556-65. doi: 10.1017/S1368980009991364. Epub 2009 Aug 26.

Abstract

Objective: Inappropriate complementary feeding is one of the major causes of malnutrition in young children in developing countries. We developed an educational intervention, delivered by local health-care providers, aimed at improving complementary feeding practices and child nutrition.

Design: Eight townships in Laishui, a rural area in China, were randomly assigned to the educational intervention or control group. A total of 599 healthy infants were enrolled at age 2-4 months and followed up until 1 year of age. In the intervention group, educational messages and enhanced home-prepared recipes were disseminated to caregivers through group trainings and home visits. Questionnaire surveys and anthropometric measurements were taken at baseline and ages 6, 9 and 12 months. Analysis was by intention to treat.

Results: It was found that food diversity, meal frequency and hygiene practices were improved in the intervention group. Infants in the intervention group gained 0.22 kg more weight (95 % CI 0.003, 0.45 kg, P = 0.047) and gained 0.66 cm more length (95 % CI 0.03, 1.29 cm, P = 0.04) than did controls over the study period.

Conclusions: Findings from the study suggest that an educational intervention delivered through local health-care providers can lead to substantial behavioural changes of caregivers and improve infant growth.

Publication types

  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Height
  • Body Weight
  • Caregivers / education*
  • China
  • Cluster Analysis
  • Female
  • Follow-Up Studies
  • Growth*
  • Health Education*
  • Health Knowledge, Attitudes, Practice
  • Health Promotion
  • Humans
  • Hygiene / education*
  • Infant
  • Infant Food*
  • Male
  • Nutritional Status
  • Rural Population* / statistics & numerical data
  • Socioeconomic Factors
  • Surveys and Questionnaires