Evidence map›Paper›PMID 37589945›Full record

ArticleWorld journal of pediatrics : WJP2024

Height and body mass index trajectories from 1975 to 2015 and prevalence of stunting, underweight and obesity in 2016 among children in Chinese cities: findings from five rounds of a national survey.

Xin-Nan Zong, Hui Li, Ya-Qin Zhang

Abstract read
In one paragraph

Article in World journal of pediatrics : WJP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

7 citing papers in PubMed.

  1. Article
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  3. Sociodemographic Factors and Childhood Growth: Associations with Environmental Sanitation Phases.International journal of environmental research and public health · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Xin-Nan ZongDepartment of Growth and Development, Capital Institute of Pediatrics, Beijing 100020, China.
Hui LiDepartment of Growth and Development, Capital Institute of Pediatrics, Beijing 100020, China. huiligrowth@163.com.ORCID 0000-0002-5270-8276
Ya-Qin ZhangDepartment of Growth and Development, Capital Institute of Pediatrics, Beijing 100020, China.

Funding

Maternal and Child Health Program of the National Health Commission of the People's Republic of China 2015-42
6 · The paper itself

Abstract

backgroundA more comprehensive assessment of growth and nutrition in children is required in China due to rapid socioeconomic processes. We aimed to investigate height and body mass index (BMI) trajectories from 1975 to 2015 and the prevalence of stunting and obesity in 2016 among children in Chinese cities.

methodsA total of 904,263 children from birth to 6.9 years were collected from a series of nationally representative surveys in China. Height and BMI trajectories and prevalence of stunting, underweight, overweight and obesity were assessed.

resultsThe average height level of Chinese urban children under 7 years presented a positive secular trend from 1975 to 2015; however, a slowing tendency occurred in 2005‒2015. An apparent increase was observed at the 5th, 50th and 95th percentiles of BMI in urban children aged 3 years and older, with a more prominent increase at the 95th percentile. The total prevalence of stunting and underweight under 7 years was 1.4% and 2.0%, respectively. The total prevalence of overweight and obesity under 7 years was 12.6% and 4.3%, respectively, with 12.7% and 4.9% for boys, 12.6% and 3.6% for girls, 12.1% and 4.0% in urban areas and 13.1% and 4.5% in suburban rural areas.

conclusionsThe average height level of Chinese urban children has reached World Health Organization child growth standards since 2005 and presented a slowing tendency in secular trend in 2005‒2015. More attention and efforts and public health interventions should be urgently made to combat overweight and obesity among preschool children. Video Abstract.

Indexed as

Body Mass IndexGrowth DisordersPediatric ObesityThinnessUrban PopulationBody HeightChildChild, PreschoolChinaFemaleHealth SurveysHumansInfantInfant, NewbornMalePrevalenceBody mass indexChildrenHeightObesityStunting

Identifiers

PMID37589945
PMCPMC11052831

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.