Evidence map›Paper›PMID 20972822›Full record

ArticleJournal of occupational rehabilitation2011

Work-related musculoskeletal disorders in athletic trainer.

Yan-Ying Ju, Hsin-Yi Kathy Cheng, Yi-Jung Hsieh, Li-Lan Fu

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Article in Journal of occupational rehabilitation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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

4 authors.

Yan-Ying JuGraduate Institute of Rehabilitation Science, Chang Gung University, Tao-Yuan, Taiwan, yanju@mail.cgu.edu.tw
Hsin-Yi Kathy Cheng
Yi-Jung Hsieh
Li-Lan Fu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION Athletic trainers often work for elongated and irregular hours or days, and need to react in emergency situations. These professionals are at risk for work-related musculoskeletal disorders (WMSDs). This study investigated the WMSDs experienced by athletic trainers (ATs), plus related personal and occupational factors. METHODS A customized questionnaire with subject's demographic and WMSDs information was constructed and administered in all accessible ATs in Taiwan. In addition to descriptive analysis of demographics and WMSDs, the relationship between personal/occupational-related factors and WMSD symptoms were also evaluated. Results A total of 146 effective questionnaires were returned. The results indicated that a 48.5% prevalence rate of athletic trainers in Taiwan, and these disorders are mainly located in low back (42%), finger (38%) and shoulder (26%) regions. Logistic regression revealed that average work hour (odds ratio (OR) = 1.834, 95% confidence interval (CI): 1.066-3.156) and continue education participation (OR = 0.346, 95% CI: 0.140-0.854) were the most significant predictors for WMSDs occurrence. Performing taping was the most significant predictor for the low back (OR = 28.274, 95% CI: 2.568-311.423) and finger (OR = 19.535, 95% CI:2.273-167.912) symptoms; while performing providing first aid (OR = 12.128, 95% CI:3.881-37.899) was the most significant predictor for the shoulder's. Conclusion This study revealed that athletic trainers in Taiwan area suffered from high rate of WMSDs, and the relationship between WMSDs and specific job features were reported. Preventive and therapeutic modifications of the work environment to decrease the occurrence of WMSDs are in need for athletic trainers and other similar professions. Further research examining safe patient handling ergonomics, proper equipment in the context of athletic training and professional development strategies must be pursued.

Indexed as

Physical Education and TrainingAdultBack InjuriesCumulative Trauma DisordersEducational StatusFemaleFinger InjuriesHumansLogistic ModelsMaleMusculoskeletal DiseasesOccupational DiseasesPosturePrevalenceShoulder InjuriesSurveys and Questionnaires

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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.