Evidence map›Paper›PMID 38955204›Full record

ArticleJournal of occupational health2024

Risk and related factors of elbow musculoskeletal diseases: a nationwide cross-sectional survey in China.

Zhehua Zhou, Pan Meng, Ning Jia, Huadong Zhang, Ruijie Ling, Yimin Liu, Gang Li, Dongxia Li, Yan Yin, Hua Shao and 12 more

Abstract read
In one paragraph

Article in Journal of occupational health, 2024. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

22 authors.

Zhehua ZhouJiaxing Center for Disease Control and Prevention, Jiaxing, Zhejiang, 314050, China.
Pan MengJiaxing Center for Disease Control and Prevention, Jiaxing, Zhejiang, 314050, China.
Ning JiaNational Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Huadong ZhangChongqing Center for Disease Control and Prevention, Chongqing, 400042, China.
Ruijie LingHubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan, Hubei, 430030, China.
Yimin LiuGuangzhou Twelfth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou, Guangdong, 510620, China.
Gang LiLiaoning Provincial Health Service Center, Shenyang, Liaoning, 110023, China.
Dongxia LiGuizhou Province Occupational Disease Prevention and Control Hospital, Guiyang, Guizhou, 610599, China.
Yan YinShanghai Center for Disease Control and Prevention, Shanghai, 200051, China.
Hua ShaoShandong Academy of Occupational Health and Occupational Medicine, Jinan, Shandong, 255030, China.
Hengdong ZhangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, 210009, China.
Bing QiuCivil Aviation Medical Center, Civil Aviation Administration of China, Beijing, 100010, China.
Dayu WangTianjin Occupational Disease Prevention and Control Hospital, Tianjin, 300011, China.
Qiang ZengTianjin Center for Disease Control and Prevention, Tianjin, 300011, China.
Jianchao ChenFujian Province Occupational Disease and Chemical Poisoning Prevention and Control Center, Fuzhou, Fujian, 350025, China.
Danying ZhangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, Guangdong, 510300, China.
Liangying MeiHubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, 430070, China.
Yongquan LiuInstitute of Occupational Medicine of Jiangxi, Nanchang, Jiangxi, 330006, China.
Jixiang LiuNingxia Hui Autonomous Region Center for Disease Control and Prevention, Yinchuan, Ningxia, 750003, China.
Chengyun ZhangSichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan, 610044, China.
Tianlai LiShanxi Provincial Center for Disease Control and Prevention, Xi'an, Shanxi, 710054, China.
Zhongxu WangNational Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.

Funding

National Institute of Occupational Health and Poison Control 102393220020090000020National Key R&D Program-ResearchProject of Occupational Health Risk Assessment 2022YFC2503205
6 · The paper itself

Abstract

objectivesAlthough studies have shown that work-related musculoskeletal disorders (WMSDs) are common and continue to be a major source of disability and work time loss, there are few reports about elbow WMSDs. The aim of this study was to explore the prevalence and associated factors of elbow WMSDs.

methodsThe valid questionnaires of 57501 workers from 15 different industries nationwide were collected and the c2 test and logistic regression analysis were applied to reveal the prevalence and risk factors of elbow WMSDs.

resultsThe findings indicated that the overall prevalence of elbow WMSDs among workers was 7.3%. However, the prevalence of elbow WMSDs in toy manufacturing was 21.3%, which was significantly higher than that in other industries (P < .05). Logistic regression analysis showed that age 40 and above, married, very poor health, left-handedness, lifting weights (more than 20 kg each time), work requiring upper limb or hand force, work in an uncomfortable position, repetitive operations within 1 minute, using vibrating tools, work involving cold, cool draughts, or temperature changes, work being completed in the same workshop, work being done outdoors, frequent dealings with customers, 2 shifts, often working overtime, staff shortage, and often working for colleagues were risk factors for elbow WMSDs. A higer education level, monthly income, and enough rest time were protective factors for elbow WMSDs.

conclusionsToy manufacturing is a high-risk industry for elbow WMSDs. Promotion of education about ergonomics should be strengthened, and workers' ergonomics awareness should be improved to reduce the impact of WMSDs.

Indexed as

Musculoskeletal DiseasesOccupational DiseasesAdultChinaCross-Sectional StudiesElbowFemaleHumansLogistic ModelsMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesYoung Adultelbowmusculoskeletal disordersrisk factors

Identifiers

PMID38955204
PMCPMC11285782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.