Evidence map›Paper›PMID 35886714›Full record

ArticleInternational journal of environmental research and public health2022

Low Cardiorespiratory Fitness, Muscular Fitness, and Flexibility Are Associated with Body Fat Distribution and Obesity Risk Using Bioelectrical Impedance in Taiwanese Adults.

Hsiu-Hsi Chiang, Po-Fu Lee, Yun-Tsung Chen, Chi-Fang Lin, Shu Xu, Yi-Tien Lin, Yu-Ting Lin, Yan-Jhu Su, Ben-Chang Shia, Wen-Sheng ChangChien and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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  8. The Association between Body Mass Index and Muscular Fitness in Chinese College Freshmen.International journal of environmental research and public health · 2022
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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

11 authors at 4 institutions in 2 countries.

Hsiu-Hsi ChiangGraduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242, Taiwan.
Po-Fu LeeDepartment of Leisure Industry and Health Promotion, National Ilan University, Yilan County 260, Taiwan.ORCID 0000-0001-8301-9935
Yun-Tsung ChenDepartment of Physical Education and Sport Sciences, National Taiwan Normal University, Taipei City 106, Taiwan.ORCID 0000-0003-2346-920X
Chi-Fang LinDepartment of Physical Education and Sport Sciences, National Taiwan Normal University, Taipei City 106, Taiwan.
Shu XuDepartment of Gerontology, University of Massachusetts Boston, Boston, MA 02125, USA.
Yi-Tien LinSuperintendent Office, Fu Jen Catholic Hospital, New Taipei City 243, Taiwan.
Yu-Ting LinGraduate Institute of Sport Coaching Science, Chinese Culture University, Taipei City 111, Taiwan.
Yan-Jhu SuDepartment of Gerontology, University of Massachusetts Boston, Boston, MA 02125, USA.ORCID 0000-0002-2142-6612
Ben-Chang ShiaGraduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242, Taiwan.ORCID 0000-0003-2854-8361
Wen-Sheng ChangChienInnovation Lab, H2U Corporation, New Taipei City 231, Taiwan.
Chien-Chang HoDepartment of Physical Education, Fu Jen Catholic University, New Taipei City 242, Taiwan.ORCID 0000-0002-1283-5203
Fu Jen Catholic University · TWNational Taiwan Normal University · TWUniversity of Massachusetts Boston · USNational Ilan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In terms of public health, obesity and overweight have become major concerns worldwide. Nevertheless, regarding body composition, it is important to have a more precise understanding of the fat-to-muscle ratio. Hence, this study aimed to adopt bioelectrical impedance measurements to test body fat percentage (BF%) and to determine the associations between health-related physical fitness and both body fat (BF) distribution and BF obesity risk in Taiwanese adults. We conducted a cross-sectional study and reviewed data derived from Taiwan’s Scientific Physical Fitness Survey. From the database, responses from 17,970 participants aged 23−64 years were collected in this study. Each participant completed a series of health-related physical fitness measurements, including cardiorespiratory fitness (3 min of a progressive knee-up and step (3MPKS) test), muscular fitness (hand-grip strength), and flexibility (sit-and-reach test). The BF% of each participant was assessed using the bioelectrical impedance analysis method. BF% was negatively associated with low performance on the 3MPKS (β = 11.314, p < 0.0001 for men; β = 12.308, p < 0.0001 for women), hand-grip strength (β = 2.071, p < 0.0001 for men; β = 0.859, p < 0.0001 for women), and sit-and-reach (β = 0.337, p = 0.008 for women) tests but was positively associated with sit-and-reach (β = −0.394, p = 0.004 for men). A risk of BF obesity for low performance of 3MPKS (odds ratio (OR) = 26.554, p < 0.0001 for men; OR = 25.808, p < 0.0001 for women), hand-grip strength (OR = 1.682, p < 0.0001 for men; OR = 1.234, p < 0.0001 for women), and sit-and-reach (OR = 1.142, p = 0.007 for women) tests was observed. These results suggest that low levels of cardiorespiratory fitness, muscular fitness, and flexibility are associated with an increased risk of BF obesity.

Indexed as

Cardiorespiratory FitnessAdultBody Fat DistributionBody Mass IndexCross-Sectional StudiesElectric ImpedanceFemaleHumansMaleObesityPhysical Fitnessadiposityadultsbody fatphysical fitness

Identifiers

PMID35886714
PMCPMC9319517
OpenAlexW4286494132

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.