Evidence map›Paper›PMID 26322235›Full record

ArticleAnnals of occupational and environmental medicine2015

The effects of individual, occupational, and supportive factors on successful return to work using a structural equation model.

Jongin Lee, Min Choi, Sung Hye Park, Hyoung-Ryoul Kim, Hye-Eun Lee

Abstract read
In one paragraph

Article in Annals of occupational and environmental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. The inhabitants' dual interest preferences and their impact on pro-environmental behavior in China.Environmental science and pollution research international · 2020
    Article
  4. Article
  5. Changes in Income after an Industrial Accident According to Industry and Return-to-Work Status.International journal of environmental research and public health · 2019
    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

5 authors.

Jongin LeeDepartment of Occupational and Environmental Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Min Choiᅟ, Korea Institute of Labor Safety and Health, Seoul, Korea.
Sung Hye ParkDepartment of Occupational and Environmental Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hyoung-Ryoul KimDepartment of Occupational and Environmental Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hye-Eun LeeDepartment of Occupational and Environmental Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to ascertain the relationship between several factors and successful return to work using a structural equation model.

methodsWe used original data from the Panel Study of Worker's Compensation Insurance, and defined four latent variables as occupational, individual, supportive, and successful return to work. Each latent variable was defined by its observed variables, including age, workplace size, and quality of the medical services. A theoretical model in which all latent variables had a relationship was suggested. After examining the model, we modified some pathways that were not significant or did not fit, and selected a final structural equation model that had the highest goodness of fit.

resultsAll three latent variables (occupational, individual, and supportive) showed statistically significant relationships with successful return to work. The occupational and supportive factors had relationships with each other, but there was no relationship between individual and the other factors. Nearly all observed variables had significance with their latent variables. The correlation coefficients from the latent variables to successful return to work were statistically significant and the indices for goodness of fit were satisfactory. In particular, four observed variables-handicap level, duration of convalescence, working duration, and support from the company-showed construct validities with high correlation coefficients.

conclusionsAll factors that we examined are related to successful return to work. We should focus on the supportive factor the most because its variables are modifiable to promote a return to work by those injured in their workplace.

Indexed as

Panel Study of Worker’s Compensation InsuranceReturn to workStructural equation model

Identifiers

PMID26322235
PMCPMC4552988

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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.