Evidence map›Paper›PMID 32541989›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2020

[Occurrence pattern of musculoskeletal disorders and its influencing factors among manufacturing workers].

F J Wang, X Jin, M Nazakat, Y D Dong, S J Wang, Z B Zhang, S F Yu, L Y Yang, L H He

Open access · greenAbstract read
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 3 institutions in 2 countries.

F J WangDepartment of Occupational and Environmental Health, Peking University School of Public Health, Beijing 100191, China.
X JinDepartment of Occupational and Environmental Health, Peking University School of Public Health, Beijing 100191, China.
M NazakatDepartment of Occupational and Environmental Health, Peking University School of Public Health, Beijing 100191, China.
Y D DongDepartment of Occupational and Environmental Health, Peking University School of Public Health, Beijing 100191, China.
S J WangDepartment of Occupational and Environmental Health, Peking University School of Public Health, Beijing 100191, China.
Z B ZhangNational Center of Occupational Safety and Health, National Health Commission, Beijing 102308, China.
S F YuHenan Medical College, Zhengzhou 451191, China.
L Y YangInstitute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden.
L H HeDepartment of Occupational and Environmental Health, Peking University School of Public Health, Beijing 100191, China.
Peking University · CNKarolinska Institutet · SENanyang Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the occurrence pattern and its influencing factors of multi-site work-related musculoskeletal disorders (WMSDs) of the main affected body sites among manufacturing workers.

methodsMusculoskeletal disorders questionnaire was adopted to investigate the prevalence of WMSDs and the influencing factors among workers from four manufacturing factories in China. The case of WMSDs was defined as the one who had symptoms such as pain, numbness, discomfort, or limitation of activities in one or more of the nine body sites, including neck, shoulder, elbow, wrist/hand, upper back, lower back, hip/thigh, knee and ankle/foot during the last year, which lasted for more than 24 hours and did not completely relieve after rest. Besides, trauma, disability, other acute injuries or sequelae were excluded. The correlation of WMSDs between different body sites was estimated by the prevalence ratio (PR) calculated by log-binominal model. The influencing factors of multi-site WMSDs of the main affected body sites were analyzed by multinomial logistic regression model.

resultsThe overall prevalence rate of WMSDs was 79.7% among the manufacturing workers. The main affected body sites were lower back, neck, shoulder and upper back, of which the prevalence rates were 62.3%, 55.7%, 45.6%, and 38.7%, respectively. The PR values of WMSDs among these sites were relatively high. The prevalence of multi-site WMSDs involving these four sites at the same time was 25.2%, and that of three to four sites was 41.4%. Multinomial Logistic regression analysis suggested that influencing factors of multi-site WMSDs in 3-4 sites of neck, shoulder, upper back and lower back involved several aspects. Among these factors, females (

conclusionThe pre-valence rates of WMSDs in neck, shoulder, upper back, and lower back were high among manufacturing workers in this study. The correlation of WMSDs of these four sites was close in this study, and the comorbidity rate of 3-4 sites of these sites was relatively high, suggesting that there might be a multi-site occurrence pattern of WMSDs in "neck-shoulder-upper back-lower back" among manufacturing workers. The main influencing factors of this pattern included individual factors, biomechanical factors and work organization factors.

Indexed as

Musculoskeletal DiseasesOccupational DiseasesChinaFemaleHumansPrevalenceRisk FactorsShoulderSurveys and QuestionnairesManufacturing industryMusculoskeletal disordersRisk factors

Identifiers

PMID32541989
PMCPMC7433413
OpenAlexW3035404101

What OpenQuestion holds

Textmetadata
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.