Evidence map›Paper›PMID 36613162›Full record

ArticleInternational journal of environmental research and public health2023

Musculoskeletal Disorder Burden and Its Attributable Risk Factors in China: Estimates and Predicts from 1990 to 2044.

Zeru Yu, Jingya Zhang, Yongbo Lu, Ning Zhang, Bincai Wei, Rongxin He, Ying Mao

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  8. Review
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  10. Workstation Risk Factors for Work-related Musculoskeletal Disorders Among IT Professionals in Indonesia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024
    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

7 authors at 3 institutions in 1 country.

Zeru YuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0002-8629-8519
Jingya ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Yongbo LuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Ning ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Bincai WeiSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China.
Rongxin HeVanke School of Public Health, Tsinghua University, Haidian District, Beijing 100084, China.
Ying MaoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Xi'an Jiaotong University · CNSouthern University of Science and Technology · CNVanke (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal disorders are one of the three major disabling diseases in the world. However, the current disease burden in China is not well-known. This study aimed to explore the burden and risk factors of musculoskeletal disorders in China from 1990 to 2019, predicting the incidence trend from 2020 to 2044. All data were extracted from the Global Burden of Disease Study 2019 (GBD 2019). Joinpoint regression and age-period-cohort (APC) models were selected to analyze the epidemic trend, and descriptive analyses of the time trends and age distributions of risk factors were performed. The Bayesian APC model was used to foresee the incidence trend from 2020 to 2044. The results indicated that the burden of musculoskeletal disorders is higher in women and older adults. Its attributable risk factors were found to be tobacco, a high body mass index, kidney dysfunction and occupational risks. In 2044, musculoskeletal disorders in China showed a downward trend for 35-59-year-olds and a slight upward trend for 30-34- and 65-84-year-olds. The 70-74 year age group saw the largest increase in incidence at 4.66%. Overall, the incidence increased with age. Therefore, prevention and control policies should focus on women and the elderly, and health interventions should be carried out based on risk factors.

Indexed as

Musculoskeletal DiseasesAgedAge DistributionBayes TheoremChinaFemaleHumansIncidenceRisk Factorsage–period–cohort modelburden of diseasesjoinpoint regressionmusculoskeletal disorderspredictionrisk factors

Identifiers

PMID36613162
PMCPMC9819435
OpenAlexW4313398453

What OpenQuestion 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 OpenQuestion graph.