Evidence map›Paper›PMID 27821955›Full record

ArticleJournal of physical therapy science2016

The association between the body composition and lifestyle affecting pulmonary function in Japanese workers.

Atsushi Inomoto, Rika Fukuda, Junko Deguchi Phn, Gohei Kato, Ryoko Kanzaki Rpt, Keiichi Hiroshige Rpt, Kouichi Nakamura, Rpt, Keisuke Nakano Rpt, Toshihiro Toyonaga

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

10 authors.

Atsushi InomotoFaculty of Rehabilitation, Kyushu Nutrition Welfare University, Japan.
Rika FukudaResearch Center for the Health Promotion and Employment Support, Kyushu Rosai Hospital, Japan.
Junko Deguchi PhnResearch Center for the Health Promotion and Employment Support, Kyushu Rosai Hospital, Japan.
Gohei KatoResearch Center for the Health Promotion and Employment Support, Kyushu Rosai Hospital, Japan.
Ryoko Kanzaki RptFaculty of Rehabilitation, Kyushu Nutrition Welfare University, Japan.
Keiichi Hiroshige RptFaculty of Rehabilitation, Kyushu Nutrition Welfare University, Japan.
Kouichi NakamuraFaculty of Rehabilitation, Kyushu Nutrition Welfare University, Japan.
RptFaculty of Rehabilitation, Kyushu Nutrition Welfare University, Japan.
Keisuke Nakano RptDepartment of Rehabilitation, Fukuokawajiro Hospital, Japan.
Toshihiro ToyonagaResearch Center for the Health Promotion and Employment Support, Kyushu Rosai Hospital, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] The purpose of this study was to identify factors related to physical characteristics and lifestyle that affect pulmonary function. [Subjects and Methods] Ninety seven healthy male workers were recruited for this study, and basic information and details about lifestyle were collected. Body composition analyzer and visceral fat measuring device were conducted as measurements. Pulmonary function was measured using spirometer. A multiple stepwise linear regression analysis was performed with pulmonary function as the dependent variable. Variables with a significant association with pulmonary function on univariate analysis were imputed as independent variables. [Results] Height, fat free mass, upper extremity muscle mass, lower extremity muscle mass, and trunk muscle mass had significant positive correlations with FEV1 and FVC. Age, percentage of body fat, and visceral fat area were negatively correlated with FEV1 and FVC. Regarding the association between pulmonary function and lifestyle, a significant difference was found between the smoking index and the presence or absence of metabolic syndrome risk factors and both FEV1 and FVC. The multiple stepwise linear regression analysis with FEV1 as the dependent variable, adjusted for age and height, revealed that visceral fat area and fat free mass were significantly associated with FEV1. A similar analysis, FVC as the dependent variable identified visceral fat area. [Conclusion] FEV1 was independently associated with visceral fat area and fat free mass. FVC was independently associated with visceral fat area. These results may be valuable in preventing the decrease in respiratory function and, hence, in further preventing the onset of COPD.

Indexed as

Pulmonary functionVisceral fat areaWorker

Identifiers

PMID27821955
PMCPMC5088146

What OpenQuestion holds

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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.