Evidence map›Paper›PMID 39334055›Full record

ArticleBMC public health2024

A study on the development of a fitness age prediction model: the national fitness award cohort study 2017-2021.

Dong Hyun Yoon, Jeong-Hyun Kim, Shi-Uk Lee

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Review
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Dong Hyun YoonDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jeong-Hyun KimDepartment of Rehabilitation Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Republic of Korea.
Shi-Uk LeeDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. ShiUk.Lee@gmail.com.

Funding

Ministry of Culture, Sports and Tourism R202106001
6 · The paper itself

Abstract

backgroundPhysical fitness is considered an important indicator of the health of the general public. In particular, the physical fitness of the older adults is an important requirement for determining the possibility of independent living. Therefore, the purpose of this study was to examine the association between chronological age and physical fitness variables in the National Fitness Award Cohort study data and to develop multiple linear regression analyses to predict fitness age using dependent variables.

methodsData from 501,774 (359,303 adults, 142,471 older adults) individuals who participated in the Korea National Fitness Award Cohort Study from 2017 to 2021 were used. The physical fitness tests consisted of 5 candidate markers for adults and 6 candidate markers for the older adults to measure muscle strength, muscle endurance, cardiopulmonary endurance, flexibility, balance, and agility. Pearson's correlation and stepwise regression analyses were used to analyze the data.

resultsWe obtained a predicted individual fitness age values from physical fitness indicators for adults and older adults individuals, and the mean explanatory power of the fitness age for adults was [100.882 - (0.029 × VO

conclusionsWe suggest the use of fitness age as a valid indicator of fitness in adults and older adults as well as a useful motivational tool for undertaking exercise prescription programs along with exercise recommendations at the national level.

Indexed as

Physical FitnessAdultAgedAged, 80 and overAge FactorsAwards and PrizesCohort StudiesExercise TestFemaleHumansMaleMiddle AgedRepublic of KoreaYoung AdultAgingFitness ageFitness assessmentHealth outcomes

Identifiers

PMID39334055
PMCPMC11428858

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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.