Evidence map›Paper›PMID 40307739›Full record

ArticleBMC public health2025

Temporal trends of low back pain burden and joinpoint and age-period-cohort analysis in China from 1990 to 2021.

Bo Liang, Yue Wei, Heming Pei, Xiaoxuan Liang, Gong Chen, Lijun Pei

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

6 authors.

Bo LiangInstitute of Population Research, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.
Yue WeiInstitute of Population Research, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.
Heming PeiDepartment of Epidemiology, Columbia University Mailman School of Public Health, NY, USA.
Xiaoxuan LiangInstitute of Population Research, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.
Gong ChenInstitute of Population Research, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China. chengong@pku.edu.cn.
Lijun PeiInstitute of Population Research, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China. peilj@pku.edu.cn.

Funding

Key Project of the National Social Science Fund of China 23ZDA101Strategic Research and Consulting Project of the Chinese Academy of Engineering 2022-XBZD-30
6 · The paper itself

Abstract

backgroundThe burden of low back pain (LBP) is increasing rapidly. This study aimed to analyze the temporal trends of the LBP burden in China from 1990 to 2021.

methodsData from the Global Burden of Disease (GBD) 2021 were used to examine the crude and age-standardized rates, along with their uncertainty interval (UI), for incidence, prevalence and disability adjusted life years (DALYs) per 100,000 for LBP, stratified by sex. The joinpoint regression model was applied to calculate the annual percent change (APC) and corresponding 95% confidence interval (CI) for the LBP burden. Additionally, an age-period-cohort analysis was conducted to assess the temporal trends in the LBP burden.

resultsIn 2021, LBP affected 100,093,745 individuals in China. The crude incidence, prevalence and DALYs rates were 3.05% (95% UI: 2.64-3.46%), 7.04% (95% UI: 6.12-7.94%) and 794.08 per 100,000 (95% UI: 557.48-1077.36), respectively. From 1990 to 2021, the age-standardized incidence, prevalence and DALYs rates declined annually by 0.71% (95% CI: 0.67-0.75%), 0.79% (95% CI: 0.75-0.83%), and 0.79% (95% CI: 0.75-0.84%), respectively. The LBP burden was higher in females than in males, with incidence rates rising with age. From the age of 45 onward, women exhibited significantly higher incidence rates than men. Over the past three decades, both period-specific and cohort-specific LBP incidence showed a downward trend.

conclusionLBP remains a substantial public health burden in China, with variations across sex, age, period and cohort. Targeted healthcare policies and resource allocation should be prioritized for high-risk populations, particularly older adults and females.

Indexed as

Cost of IllnessLow Back PainAdolescentAdultAgedAge DistributionChildChinaCohort StudiesDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansIncidenceMaleMiddle AgedAge-period-cohort analysisChinaGlobal burden of diseaseLow back painTemporal trend

Identifiers

PMID40307739
PMCPMC12042390

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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.