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

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

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.

Original languageEnglish
Article number840
JournalInternational Journal of Environmental Research and Public Health
Volume20
Issue number1
DOIs
StatePublished - Jan 2023

Keywords

  • age–period–cohort model
  • burden of diseases
  • joinpoint regression
  • musculoskeletal disorders
  • prediction
  • risk factors

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