Evidence map›Paper›PMID 35359759›Full record

ArticleFrontiers in public health2022

The Association Between the China's Economic Development and the Passing Rate of National Physical Fitness Standards for Elderly People Aged 60-69 From 2000 to 2020.

Zeyong Liu, Agudamu, Te Bu, Selcuk Akpinar, Blazo Jabucanin

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

20 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

5 authors.

Zeyong LiuCollege of Physical Education, Hunan Normal University, Changsha, China.
AgudamuGraduate School of Social Welfare, Sungkyunkwan University, Seoul, South Korea.
Te BuCollege of Physical Education, Hunan Normal University, Changsha, China.
Selcuk AkpinarFaculty of Sports Science, Nevşehir Haci Bektaş Veli University, Nevşehir, Turkey.
Blazo JabucaninWestern Balkan Sport Innovation Lab, Podgorica, Montenegro.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: According to the seventh demographic census, China's elderly population reached 260 million, accounting for 18.7% of the total population, indicating that China is on the verge of transitioning from a relatively mild aging to a moderately aging society, and an aging society inevitably brings concerns about the elderly people's health. The purpose of this study was to better understand the effect of economic development on the physical fitness of the elderly people aged 60-69 in China during the first two decades of the twenty-first century, as well as to establish a correlation between China's gross domestic product (GDP) and changes in the elderly people's passing rate of national physical fitness standards. Methods: A linear regression analysis was performed on the data of GDP and the passing rate of national physical fitness standards of Chinese elderly people aged 60-69 in 2000, 2005, 2010, 2014, and 2020. Results: The passing rate of national physical fitness standards for elderly people aged 60-69 increased linearly ( Conclusions: Between 2000 and 2020, the annual improvement in the physical fitness of the elderly people in China is inextricably linked to rapid economic development. Increased financial investments in public sports services and a corresponding national fitness plan all contribute to an overall improvement in the physical fitness of the elderly people. This outcome is the effect of fiscal and policy coordination, which may represent a distinctive Chinese model and contribution to the global effort to manage and improve population physical fitness.

Indexed as

Economic DevelopmentPhysical FitnessAgedChinaExerciseHumansMiddle AgedGDPpolicy coordinationpopulation agingpublic financingpublic healthspilloverssports industry

Identifiers

PMID35359759
PMCPMC8961805

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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.