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1990 年至 2021 年全球紧张型头痛疾病负担的性别差异分析及 15 年预测:基于 GBD 2021 数据的系统综述
Authors Xu H, Qin X, Zhao G, Feng Z, You S
Received 15 December 2024
Accepted for publication 7 July 2025
Published 10 July 2025 Volume 2025:18 Pages 3505—3517
DOI https://doi.org/10.2147/JPR.S512335
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Rune Häckert Christensen
Hongli Xu,1,* Xiaoyan Qin,2,* Guoli Zhao,3 Zeguo Feng,3 Shaohua You3
1Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People’s Republic of China; 2Department of Clinical Laboratory, Shijingshan teaching hospital of Capital Medical University, Beijing shijingshan Hospital, Beijing, 100049, People’s Republic of China; 3Department of Pain Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Shaohua You, Department of Pain Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China, Email youshaohua301@126.com
Background: Tension-type headache (TTH) is a prevalent primary headache disorder significantly impacting quality of life and healthcare resource utilization, with females typically bearing a higher disease burden. However, comprehensive analyses and predictive studies on the global TTH burden stratified by gender are currently lacking.
Aim: This study utilized data from the Global Burden of Disease (GBD) Study to analyze the global burden of tension - type headache by sex from 1990 to 2021 and conducted a 15 - year projection (up to 2036).
Methods: We conducted a systematic review of GBD 2021 data, employing Joinpoint regression analysis and decomposition analysis to assess TTH incidence, prevalence, YLDs, and DALYs. Additionally, we used the ARIMA model for a 15-year predictive analysis of TTH burden trends.
Results: From 1990 to 2021, global female TTH cases rose from 669.54 million (95% UI: 586.2– 751.8 million) to 1.04 billion (95% UI: 923.0– 1.1 billion), with incidence increasing from 242.9 million (95% UI: 218.8– 267.0 million) to 369.86 million (95% UI: 332.5– 407.2 million). Male cases grew from 616.82 million (95% UI: 537.2– 696.4 million) to 970 million (95% UI: 851.0– 1.0 billion). Decomposition analysis indicated population growth was the primary driver of the increase in female TTH prevalence. Projections suggest that by 2036, the incidence will reach 9,174.84 per 100,000 females (95% UI: 8,854.8– 9,494.9), prevalence will be 25,135.1 per 100,000 females (95% UI: 23,977.2– 26,283.0), YLD rate will be 62.76 per 100,000 females (95% UI: 58.8– 66.7), and DALY rate will be 60.97 per 100,000 females (95% UI: 56.7– 65.2).
Conclusion: This study highlights the significance of gender in TTH burden, particularly the heightened risk for females. Through temporal trend analysis and predictive modeling, we provide insights into future TTH disease trajectories, aiding global public health policy formulation and healthcare resource allocation.
Keywords: tension-type headache, gender differences, disease burden decomposition, joinpoint regression analysis, epidemiological trends, predictive modeling