Evidence map›Paper›PMID 33850809›Full record

ArticleTranslational pediatrics2021

Changes in the age-specific body mass index distribution among urban children between 2002 and 2018 in Changsha, China.

Sha Zhao, Xun Li, Shi-Ting Xiang, Lihua Xie, Rutong Kang, Liping Li, Zhenghui Xiao, Yan Zhong

Abstract read
In one paragraph

Article in Translational pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sha ZhaoInstitute of Child Health, Hunan Children's Hospital, Changsha, China.
Xun LiPediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China.
Shi-Ting XiangPediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China.
Lihua XieOutpatient Department, Hunan Children's Hospital, Changsha, China.
Rutong KangPediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China.
Liping LiPediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China.
Zhenghui XiaoHunan Province Key Lab of Pediatric Emergency Medicine, Hunan Children's Hospital, Changsha, China.
Yan ZhongInstitute of Child Health, Hunan Children's Hospital, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt had been reported that the increase in the prevalence of childhood overweight and obesity in several developed countries over the decade was largely a consequence of changes in the upper end of the body mass index (BMI) distribution. We speculated that the change in BMI distribution among Chinese children is different from that in developed countries. Therefore, we investigated the changes in the BMI distribution among urban children in Changsha, China.

methodsA secondary data analysis of the 2002 and 2018 Annual Survey on Students' Constitution and Health from Yuhua District, Changsha City, China was performed. The BMI distribution of children aged 6-15 years (n=72,061) was examined by calculating the BMI value at 5th, 50th, 85th, and 95th percentiles. Differences in the BMI value at the 5th, 50th, 85th, and 95th percentiles between 2002 and 2018 according to age and sex were calculated.

resultsFrom 2002 to 2018, the standardized rate of underweight decreased from 6.9% to 3.4%, whereas that of obesity increased from 6.1% to 13.8%. The BMI of the population increased over the 16-year period. The greatest change between the years was seen in the 85th percentile, and moderate changes were seen in the 5th and 50th BMI percentiles. Also, the greatest changes in the BMI percentiles were evident at age 12-14 years.

conclusionsThe whole spectrum of BMI distribution among school-aged children shifted over the 16-year study period, although the increases were more marked in the upper than lower percentiles. Health professionals and health policymakers should develop strategies and interventions aimed at preventing adverse health effects caused by this change.

Indexed as

body mass index (BMI)Childrendistributionobesityoverweight

Identifiers

PMID33850809
PMCPMC8039778

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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.