Evidence mapPaperPMID 40537882Full record

Observational studyEuropean journal of medical research2025

High-BMI-related low back pain in China: a GBD-based observational study on sex-age trends and projections (1990-2021).

Juxiang Xu, Jianhua Li, Heqing Huang, Tiangao Lin, Zhiping Liao, Weibo Zhang, Jianing Wu, Fangchao Wu

Abstract readObservational Study
In one paragraph

Observational study in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. [Analysis of disease burden, attributable risk factors of low back pain in China from 1990 to 2023 and prediction for 2030].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
    Article
  3. Article
  4. Article
  5. 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

8 authors.

Juxiang Xu *Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jianhua Li *Department of Physical Medicine and Rehabilitation, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Heqing HuangDepartment of Physical Medicine and Rehabilitation, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Tiangao LinDepartment of Physical Medicine and Rehabilitation, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhiping LiaoDepartment of Physical Medicine and Rehabilitation, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Weibo ZhangCenter for Diagnosis, Treatment and Rehabilitation of Pelvic Floor Dysfunction, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jianing WuDepartment of Physical Medicine and Rehabilitation, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. dr_jianingwu@163.com.
Fangchao WuDepartment of Physical Medicine and Rehabilitation, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. 3414030@zju.edu.cn.

Funding

General Scientific Research Program of the Education Department of Zhejiang Province Y201941510
6 · The paper itself

Abstract

backgroundLow back pain (LBP), the leading global cause of disability, imposes severe burdens in China, where obesity (BMI ≥ 28 kg/m

objectiveUsing data from the Global Burden of Disease (GBD) 2021 study, we conducted an observational, cross-sectional analysis of three-decade trends (1990-2021) in disability due to high-BMI-related LBP across China, stratified by age and sex. By comparing national and global trajectories, we inform targeted strategies addressing this dual epidemic.

methodsGBD 2021 data informed age-standardized years lived with disability (YLD) analyses of BMI-linked LBP disability (1990-2021) in China. Joinpoint regression identified trend inflection points, with annual percentage change and average annual percentage change (APC/AAPC) calculated using R and Joinpoint software for age-sex stratified burden quantification. Bayesian age-period cohort (BAPC) model was used to estimate the trend of burden of low back pain attributable to high BMI from 2022 to 2036.

resultsBetween 1999 and 2021, China's high-BMI-related LBP disability burden escalated disproportionately, with age-standardized YLD rates rising 116.5% versus 39.1% globally. Females exhibited persistently higher burdens (2021 age-standardized YLD rate (ASYR): 67.51 vs. male 37.45/100,000), while youth (< 30 years) saw accelerated male-dominant growth (20-24 years: 17.57% annual increase post 2015). Joinpoint analysis identified China's unique triphasic acceleration (AAPC = 2.54%, P < 0.05), contrasting with linear global trends. Aging populations showed widening gender gaps (e.g., 60-64 years: female YLD rates 2.67-fold males), highlighting urgent need for sex- and age-tailored interventions.

conclusionChina's high-BMI-related LBP burden, though currently below global levels, is escalating disproportionately-accelerating in young males and persistently higher in females. Prioritizing sex- and age-specific interventions is critical to curb this dual metabolic-mechanical epidemic.

trial registrationThis study was an observational study analysis based on the GBD database, and no clinical trial registration was performed.

Indexed as

Body Mass IndexLow Back PainObesityAdolescentAdultAgedAge FactorsChinaCross-Sectional StudiesFemaleGlobal Burden of DiseaseHumansMaleMiddle AgedSex FactorsYoung AdultChinaDisease burdenGBDHigh-BMILow back painPrediction

Identifiers

PMID40537882
PMCPMC12178042

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.