Evidence map›Paper›PMID 36876177›Full record

ArticleJournal of sports science & medicine2023

Utility of a Physical Fitness Score in Screening for Chronic Diseases.

Takaaki Sato, Kazuya Fujihara, Mayuko Harada Yamada, Kaori Chou, Yuta Yaguchi, Masaru Kitazawa, Hajime Ishiguro, Taeko Osawa, Takaho Yamada, Satoru Kodama and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of sports science & medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Takaaki SatoDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Kazuya FujiharaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Mayuko Harada YamadaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Kaori ChouDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Yuta YaguchiDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Masaru KitazawaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Hajime IshiguroDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Taeko OsawaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Takaho YamadaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Satoru KodamaDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Kiminori KatoDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Hirohito SoneDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, Japan.
Niigata University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a new Physical Score (PS) consisting of comprehensive physical fitness indicators and elucidated the association between the resultant PS and metabolic diseases, i.e., diabetes, hypertension, dyslipidemia, fatty liver, and metabolic syndrome (MetS), among Japanese. Analyzed were 49,850 persons (30,039 men) aged 30 to 69 y who underwent physical fitness tests. Principal component analysis was performed on the correlation matrix of the physical fitness test results (relative grip strength, single-leg balance with eyes closed, and forward bending) according to sex and age. We defined the PS as the first principal component score. A formula was developed for various age groups comprised of men and women from 30 to 69 years of age from which the PS for each age and sex was calculated. The PS for both men and women was normally distributed with a value of 0 ± 1.15-1.16. Multivariate logistic regression analysis showed that the risk of metabolic diseases increased approximately 1.1-1.6 times per each 1-point reduction in the PS. The association between PS and MetS was particularly strong in that a 1-point reduction in the PS increased the risk of MetS by 1.54 times (95% confidence interval 1.46 to 1.62) in men and by 1.21 times (1.15 to 1.28) in women. The association between a lower PS and disease risk was stronger in younger men for fatty liver and in older men for MetS. Conversely, in women, the association between a lower PS and disease risk was stronger in older women for fatty liver and in younger women for MetS. For diabetes, hypertension, and dyslipidemia, the change in the impact of PS reductions across age groups was small. The PS is a useful and simple non-invasive tool for screening Japanese people for metabolic diseases.

Indexed as

Fatty LiverHypertensionMetabolic SyndromeAdultAgedChronic DiseaseExerciseFemaleHumansMaleMiddle AgedPhysical FitnessBalanceFlexibilityGrip strengthScreening for diseases

Identifiers

PMID36876177
PMCPMC9982533
OpenAlexW4321234096

What OpenQuestion holds

Textmetadata
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Registered trials

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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.