Evidence map›Paper›PMID 37901405›Full record

ArticleFrontiers in medicine2023

Prevalence and risk factors of work-related musculoskeletal disorders among emerging manufacturing workers in Beijing, China.

Xiaowen Ding, Ziyi Guan, Nan Liu, Mingli Bi, Fang Ji, Huining Wang, Xueyan Zhang, Baolong Liu, Dongsheng Niu, Tian Lan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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

13 authors at 3 institutions in 1 country.

Xiaowen DingBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Ziyi GuanSchool of Public Health, Shanxi Medical University, Taiyuan, China.
Nan LiuTianjin Navigation Instruments Research Institute, Tianjin, China.
Mingli BiBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Fang JiBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Huining WangBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Xueyan ZhangSchool of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing, China.
Baolong LiuBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Dongsheng NiuBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Tian LanBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Tingting XieBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Jue LiBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Tenglong YanBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Beijing Center for Disease Prevention and Control · CNCapital University of Economics and Business · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The workers in emerging manufacturing are at decreased risk of traditional occupational diseases, while probably at increased risk of work-related musculoskeletal disorders (WMSDs). This study aimed to investigate the prevalence and risk factors of WMSDs among emerging manufacturing workers in Beijing. Methods: A total of 3,359 valid questionnaires were collected from 10 enterprises in the electronics, pharmaceutical, and motor manufacturing industries. The prevalence of WMSDs was assessed using the Nordic Musculoskeletal Questionnaire. The work posture load was evaluated through a questionnaire. Results: The results showed that the highest prevalence of WMSDs was observed in part of the neck (15.0%), followed by the lower back (12.5%), shoulders (11.2%), and upper back (7.1%). Female workers, workers aged older than 35 years, workers with a BMI of ≥28 kg/m Conclusion: These findings suggested that WMSDs were prevalent among emerging manufacturing workers in Beijing, China, while efforts should be made to reshape the risk factors associated with WMSDs, such as prolonged sitting, uncomfortable positions, and repetitive operations. Encouraging exercise and promoting ergonomic interventions probably be also benefit to induce the risk of WMSDs.

Indexed as

cross-sectional studymanufacturing workersrisk factorsworkerwork-related musculoskeletal disorders (WMSDs)

Identifiers

PMID37901405
PMCPMC10602678
OpenAlexW4387579581

What Socratic 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 Socratic graph.