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Temporal trends and projections in the global burden of neck pain: findings from the Global Burden of Disease Study 2019.
Cheng, Siqing; Cao, Jin; Hou, Leying; Li, Shuting; Sun, Weidi; Shan, Shiyi; Zhao, Jianhui; Yao, Lingzi; Li, Xue; He, Bin; Song, Peige.
Affiliation
  • Cheng S; Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Cao J; Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Hou L; Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Li S; Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Sun W; Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Shan S; Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Zhao J; Department of School of Public Health, and Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, China.
  • Yao L; Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Li X; Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • He B; Department of Orthopedics, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Yiwu, China.
  • Song P; Department of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Pain ; 2024 Jun 19.
Article in En | MEDLINE | ID: mdl-38916499
ABSTRACT
ABSTRACT Data were obtained from the Global Burden of Disease study 2019. Joinpoint regression model was used to analyze the temporal trends from 1990 to 2019 of neck pain burden, focusing on age-standardized incidence rates, age-standardized prevalence rates, and age-standardized years lived with disability (YLDs) rates at the global, regional, and national levels. The age-period-cohort analysis was used to estimate the effects of age (5-99 years), period (1990-2019), and cohort (1893-2012) at the global, regional, and national levels. Future projections for the global burden of neck pain from 2020 to 2044 were estimated using the nordpred age-period-cohort model. From 1990 to 2019, the global incidence, prevalence cases, and YLDs counts of neck pain have increased by 71.89%, 98.21%, and 78.17%, respectively. The joinpoint analysis indicated significant shifts in the global trends of age-standardized neck pain burden, which varied across regions and nations. The age-period-cohort model indicated that the neck pain burden was predominantly concentrated in middle-aged and older age, with period and cohort effects showing minimal variation from 1990 to 2019. Compared with 2019, the incident cases, prevalent cases, and YLDs counts of neck pain were projected to increase by 134%, 142%, and 140% by 2044. The global burden of neck pain has persisted at a relatively elevated level from 1990 to 2019, with projections indicating a continuing upward trend. Future research is urgently needed to better understand the predictors and clinical course of neck pain and to enhance prevention and management strategies.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Pain Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Pain Year: 2024 Document type: Article Affiliation country: Country of publication: