Evidence map›Paper›PMID 32736615›Full record

ArticleBMC public health2020

Trends in urban/rural inequalities in physical growth among Chinese children over three decades of urbanization in Guangzhou: 1985-2015.

Yan Hu, Weiqun Lin, Xuying Tan, Yu Liu, Yuqi Wen, Yanfei Xing, Ying Ma, Huiyan Liu, Yanyan Song, Jingjing Liang and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

The trial behind it

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Thirty-Year Urbanization Trajectories and Obesity in Modernizing China.International journal of environmental research and public health · 2022
    Article
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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

12 authors.

Yan HuDepartment of Children Healthcare, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Weiqun LinDepartment of Clinical Nutrition, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, 510080, People's Republic of China.
Xuying TanDepartment of Children Healthcare, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Yu LiuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Yuqi WenDepartment of Children Healthcare, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Yanfei XingDepartment of Children Healthcare, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Ying MaDepartment of Children Healthcare, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Huiyan LiuDepartment of Children Healthcare, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Yanyan SongDepartment of Children Healthcare, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Jingjing LiangDepartment of Children Healthcare, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China.
Kin Bong Hubert LamNuffield Department of Population Health, University of Oxford, Oxford, UK.
Suifang LinDepartment of Children Healthcare, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, People's Republic of China. suifanglin@163.com.ORCID http://orcid.org/0000-0002-8252-9981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGreat growth inequalities between urban and rural areas have been reported in China over the past years. By examining urban/rural inequalities in physical growth among children < 7 years old over the past three decades from 1985 to 2015 in Guangzhou, we analyzed altering trends of anthropometric data in children and their association with economic development during the period of rapid urbanization in Guangzhou.

methodsThe height, body weight and nutrition status of children under 7 years old were obtained from two successive cross-sectional surveys and one health surveillance system. Student's t-test, Spearman's rank-order correlation and polynomial regression were used to assess the difference in physical growth between children in urban and rural areas and the association between socioeconomic index and secular growth changes.

resultsA height and weight difference was found between urban and rural children aged 0-6 years during the first two decades of our research (1985-2005), which gradually narrowed in both sex groups over time. By the end of 2015, elder boys (age group ≥5 year) and girls (age group ≥4 year) in rural areas were taller than their counterparts in urban areas (p < 0.05).The same trend could be witnessed in the weight of children aged 6 years, with a - 1.30 kg difference (P = 0.03) for boys, and a - 0.05 difference (P = 0.82) for girls. When GDP increased, the gap in boys' weight-for-age z-score (WAZ from 0.25 to 0.01) and height-for-age z-score (HAZ from 0.55 to 0.03) between urban and rural areas diminished, and disappeared when the GDP per capita (USD) approached 25,000. In either urban or rural areas, the urbanization rate and GDP were positively associated with the prevalence of obesity (all R > 0.90 with P < 0.05) and negatively correlated with the prevalence of stunted growth (all R < -0.87 with P < 0.05).

conclusionGrowth inequalities gradually decreased with economic development and urbanization, while new challenges such as obesity emerged. To eliminate health problems due to catch-up growth among rural children, comprehensive intervention programs for early child growth should be promoted in rural areas.

Indexed as

Growth DisordersNutritional StatusPediatric ObesityUrbanizationAnthropometryAsian PeopleBody WeightChildChild, PreschoolChinaCross-Sectional StudiesEconomic DevelopmentFemaleHumansInfantInfant, NewbornEconomic reformGuangzhou cityHealth inequalitiesPhysical growth trend

Identifiers

PMID32736615
PMCPMC7393843

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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.