Evidence map›Paper›PMID 32218289›Full record

ArticleInternational journal of environmental research and public health2020

Secular Trend in the Physical Fitness of Xinjiang Children and Adolescents between 1985 and 2014.

Cunjian Bi, Feng Zhang, Yang Gu, Yi Song, Xiaodi Cai

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Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Observational
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  15. Secular Trends in Physical Fitness of Peruvian Children Living at High-Altitude.International journal of environmental research and public health · 2023
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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

5 authors.

Cunjian BiSchool of Physical Education and Health, East China Normal University, Shanghai 200241, China.
Feng ZhangSchool of Physical Education and Health, East China Normal University, Shanghai 200241, China.
Yang GuInstitute of Physical Education, Xinjiang Normal University, Wulumuqi 830054, China.
Yi SongInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
Xiaodi CaiInstitute of Physical Education, Xinjiang Normal University, Wulumuqi 830054, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed trends in physical fitness by age group and nutrition status among children and adolescents in Xinjiang during 1985-2014. The data of 49,357 participants aged 7-18 were extracted in 1985, 1995, 2005, and 2014. Growth and nutritional status were defined using World Health Organization definitions. A physical fitness indicator (PFI) was calculated as the sum of six components measured in every survey. The relationship between body mass index (BMI) and PFI was investigated using nonlinear regression. Taking 1985 as a reference, PFI increased to 2 in 1995 and then fell sharply to -2.8 in 2005 and -3.8 in 2014. The prevalence of normal weight increased from 87.5% in 1985 to 89.4% in 1995 and then decreased to 75.2%, consistent with the change in PFI. The relationship between BMI and PFI showed an inverted U-shaped curve. The largest increment occurred in boys aged 13-15 and girls aged 16-18 during 1985-1995; the largest decline occurred in boys and girls aged 10-12 during 1995-2005. Our research provides a reference for local governments providing nutrition subsidies and projects in southern Xinjiang, indicating that greater attention is needed for children aged 7-12.

Indexed as

Physical FitnessAdolescentBody Mass IndexChildChinaFemaleHumansMaleNutritional StatusPopulation GroupsPopulation GrowthPrevalencebody mass indexchildren and adolescentsgrowth statusnutrition statusphysical fitnessphysical fitness indicatorXinjiang

Identifiers

PMID32218289
PMCPMC7177309

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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.