Evidence map›Paper›PMID 39467594›Full record

ArticleBMJ (Clinical research ed.)2024

Malnutrition in infants aged 6-23 months in China's poorest rural counties from 2016 to 2021: cross sectional study.

Junsheng Huo, Yangmu Huang, Jing Sun, Jian Huang, Jingya Dong, Yinuo Sun, Xing Lin Feng

Abstract read
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Article in BMJ (Clinical research ed.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Junsheng HuoNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Yangmu HuangSchool of Public Health, Peking University, Haidian District, Beijing 100191, China.
Jing SunNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Jian HuangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Jingya DongSchool of Public Health, Peking University, Haidian District, Beijing 100191, China.
Yinuo SunSchool of Public Health, Peking University, Haidian District, Beijing 100191, China.
Xing Lin FengSchool of Public Health, Peking University, Haidian District, Beijing 100191, China fxl@bjmu.edu.cn.ORCID 0000-0003-3588-1859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess trends and differences in child malnutrition by population subgroups among infants aged 6-23 months in China's poorest rural counties.

designSix consecutive cross sectional surveys were conducted annually.

settingThe study was conducted in 116 counties in 19 provinces from 2016 to 2021, representing China's 832 poorest counties.

participantsA total of 210 088 participants were selected through a multistage cluster sampling procedure; all participants were infants aged 6-23 months.

main outcome measuresPrevalence of anaemia, stunting, wasting, overweight, and growth status in children (measured by length-for-age and weight-for-length z scores).

resultsFour main malnutrition forms were prevalent in 2016: anaemia (prevalence 18.3%), stunting (7.5%), wasting (4.7%), and overweight (3.1%). The prevalence of any two coexisting malnutrition forms was low. All four forms of malnutrition decreased from 2016 to 2021. Anaemia decreased by more than half, with an annual reduction rate of 9.11% (95% confidence interval (CI) 4.83% to 13.20%). Stunting was reduced by over a third, with an annual reduction rate of 10.44% (7.56% to 13.22%), which is faster than the World Health Organization's target of 3.9%. Differences in child growth by county gross domestic product quarters were small and decreased over time, but growth differences related to education persisted. Infants whose mothers completed education up to primary school level had approximately twice the risk of stunting (adjusted rate ratio 2.29 (95% CI 1.87 to 2.81)) and wasting (1.73 (1.40 to 2.13)) compared with children whose mothers had an education level of a college degree or above. Boys had poorer growth and higher anaemia than did girls. For all outcomes, differences related to sex and education were greatest at 6 months of age.

conclusionsEducation related inequalities in growth of infants persists, with these differences particularly affecting children whose mothers completed education only up to primary school level.

Indexed as

AnemiaGrowth DisordersRural PopulationChinaCross-Sectional StudiesFemaleHumansInfantInfant Nutrition DisordersMaleMalnutritionOverweightPrevalenceWasting Syndrome

Identifiers

PMID39467594
PMCPMC11779013

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