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Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a cross-sectional study

BACKGROUND: The first 18 months of life are the most important for long-term childhood well-being. Anemia and malnutrition occurring in this key period have serious implications for individuals and societies, especially in rural areas in developing country. We conducted a cross-sectional study as th...

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Autores principales: Yang, Wenfang, Li, Xu, Li, Ying, Zhang, Shuiping, Liu, Liming, Wang, Xiang, Li, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556320/
https://www.ncbi.nlm.nih.gov/pubmed/23273099
http://dx.doi.org/10.1186/1471-2458-12-1127
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author Yang, Wenfang
Li, Xu
Li, Ying
Zhang, Shuiping
Liu, Liming
Wang, Xiang
Li, Weimin
author_facet Yang, Wenfang
Li, Xu
Li, Ying
Zhang, Shuiping
Liu, Liming
Wang, Xiang
Li, Weimin
author_sort Yang, Wenfang
collection PubMed
description BACKGROUND: The first 18 months of life are the most important for long-term childhood well-being. Anemia and malnutrition occurring in this key period have serious implications for individuals and societies, especially in rural areas in developing country. We conducted a cross-sectional study as the baseline survey to provide data for developing a policy-based approach to controlling infant anemia and malnutrition in rural areas of Shaanxi province in northwestern China. METHODS: We randomly sampled 336 infants aged 0–18 months in 28 rural villages from 2 counties of Shaanxi province. Anthropometric measurements and household interviews were carried out by well-trained researchers. The hemoglobin concentration was measured for 336 infants and serum concentrations of iron, zinc, and retinol (vitamin A) were measured for a stratified subsample of 55 infants. Anemia was defined using World Health Organization (WHO) standards combined with the Chinese standard for infants <6 months old. Logistic regression modeling was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for anemia with non-anemic group as a reference. RESULTS: We found that 35.12% of infants in rural Shaanxi suffered from anemia, and the malnutrition prevalence rates were 32.14% for underweight, 39.58% for stunting, and 11.31% for wasting. Anemia was significantly associated with malnutrition (underweight, OR: 2.42, 95%CI: 1.50-3.88; stunting, OR: 1.65, 95%CI: 1.05-2.61; wasting, OR: 2.89, 95%CI: 1.45-5.76). Low birth weight, more siblings, less maternal education, low family income, crowded living conditions, and inappropriate complementary food introduction significantly increased the risk for infant anemia. Serum concentrations of iron, zinc, and retinol (vitamin A) were significantly lower in anemic infants compared with non-anemic infants. CONCLUSIONS: Specific socio-demographic characteristics and feeding patterns were highly associated with infant anemia in rural areas of Shaanxi province. Health education focusing on feeding practices and nutrition education could be a practical strategy for preventing anemia and malnutrition in young children.
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spelling pubmed-35563202013-01-30 Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a cross-sectional study Yang, Wenfang Li, Xu Li, Ying Zhang, Shuiping Liu, Liming Wang, Xiang Li, Weimin BMC Public Health Research Article BACKGROUND: The first 18 months of life are the most important for long-term childhood well-being. Anemia and malnutrition occurring in this key period have serious implications for individuals and societies, especially in rural areas in developing country. We conducted a cross-sectional study as the baseline survey to provide data for developing a policy-based approach to controlling infant anemia and malnutrition in rural areas of Shaanxi province in northwestern China. METHODS: We randomly sampled 336 infants aged 0–18 months in 28 rural villages from 2 counties of Shaanxi province. Anthropometric measurements and household interviews were carried out by well-trained researchers. The hemoglobin concentration was measured for 336 infants and serum concentrations of iron, zinc, and retinol (vitamin A) were measured for a stratified subsample of 55 infants. Anemia was defined using World Health Organization (WHO) standards combined with the Chinese standard for infants <6 months old. Logistic regression modeling was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for anemia with non-anemic group as a reference. RESULTS: We found that 35.12% of infants in rural Shaanxi suffered from anemia, and the malnutrition prevalence rates were 32.14% for underweight, 39.58% for stunting, and 11.31% for wasting. Anemia was significantly associated with malnutrition (underweight, OR: 2.42, 95%CI: 1.50-3.88; stunting, OR: 1.65, 95%CI: 1.05-2.61; wasting, OR: 2.89, 95%CI: 1.45-5.76). Low birth weight, more siblings, less maternal education, low family income, crowded living conditions, and inappropriate complementary food introduction significantly increased the risk for infant anemia. Serum concentrations of iron, zinc, and retinol (vitamin A) were significantly lower in anemic infants compared with non-anemic infants. CONCLUSIONS: Specific socio-demographic characteristics and feeding patterns were highly associated with infant anemia in rural areas of Shaanxi province. Health education focusing on feeding practices and nutrition education could be a practical strategy for preventing anemia and malnutrition in young children. BioMed Central 2012-12-29 /pmc/articles/PMC3556320/ /pubmed/23273099 http://dx.doi.org/10.1186/1471-2458-12-1127 Text en Copyright ©2012 Yang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yang, Wenfang
Li, Xu
Li, Ying
Zhang, Shuiping
Liu, Liming
Wang, Xiang
Li, Weimin
Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a cross-sectional study
title Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a cross-sectional study
title_full Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a cross-sectional study
title_fullStr Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a cross-sectional study
title_full_unstemmed Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a cross-sectional study
title_short Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a cross-sectional study
title_sort anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of shaanxi province in northwestern china: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556320/
https://www.ncbi.nlm.nih.gov/pubmed/23273099
http://dx.doi.org/10.1186/1471-2458-12-1127
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