Evidence map›Paper›PMID 39166013›Full record

ArticleHeliyon2024

Global years lived with disability for musculoskeletal disorders in adults 70 Years and older from 1990 to 2019, and projections to 2040.

Can Chen, Yuxia Du, Kexin Cao, Yue You, Lucheng Pi, Daixi Jiang, Mengya Yang, Xiaoyue Wu, Mengsha Chen, Wenkai Zhou and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. [Analysis of current status and trends of disease burden of neck pain in China from 1990 to 2023].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. 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

15 authors.

Can ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Yuxia DuDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Kexin CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Yue YouDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Lucheng PiShenzhen Bao'an Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, China.
Daixi JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Mengya YangDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Xiaoyue WuDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Mengsha ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Wenkai ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Jiaxing QiDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Dingmo ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Rui YanDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Changtai ZhuDepartment of Transfusion Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shigui YangDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we provided a comprehensive overview and in-depth analysis of global patterns and temporal trends in years lived with disability (YLDs) for musculoskeletal (MSK) disorders in individuals aged ≥70. Data on YLDs for MSK disorders in individuals aged ≥70 were obtained from the Global Burden of Disease 2019. The average annual percentage change (AAPC) was calculated to assess the temporal trends in the YLDs rate of MSK disorders. A Bayesian Age-Period-Cohort model was used to predict the YLDs rate up to the year 2040. In 2019, the global rate of YLDs for MSK disorders in individuals aged ≥70 were 4819.81 (95 % UI: 3402.91 - 6550.77) per 100,000 persons. The YLDs rate of MSK disorders in female was 1.36 times higher than that in male, and was highest in high SDI regions. From 1990 to 2019, the global YLDs rate showed a slightly downward trend (AAPC = -0.04 %, 95 % CI: -0.06 % to -0.03 %), while it significantly increased in high, low-middle, low SDI regions. Tobacco and high body mass index were the primary risk factors worldwide, while in low SDI regions, occupational risks emerged as the predominant factors. Up to 2040, the global YLDs rate of MSK disorders are expected to increase by 1.78 %, with 36.39 %, 20.66 %, 18.96 % and 5.32 % growth in other MSK disorders, rheumatoid arthritis, neck pain and osteoarthritis. MSK disorders are a significant and continuously growing public health concern among older adults. Tailored interventions should be developed for older adults, taking into account the variations across distributions, trends, and risk factors in terms of sex and SDI levels.

Indexed as

Adults aged ≥ 70 yearsMusculoskeletal disordersTemporal trendYears lived with disability

Identifiers

PMID39166013
PMCPMC11333889

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.