Evidence map›Paper›PMID 39820179›Full record

SynthesisJournal of global health2025

Prevalence of osteoporosis and associated factors among Chinese adults: a systematic review and modelling study.

Yi Liu, Xuanyin Huang, Ke Tang, Jing Wu, Jiali Zhou, He Bai, Liying Zhou, Shiyi Shan, Zeyu Luo, Jin Cao and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Prevalence and Associated Risk Factors of Osteoporosis in Community-Dwelling Older Adults in China: A Cross-Sectional Study of 2533 Participants.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  18. [Attributable disease burden of low bone mineral density related fractures in people over 50 years old from 1990 to 2023 in China].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
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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

13 authors.

Yi Liu *Centre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Xuanyin Huang *Centre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Ke Tang *Centre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Jing WuCentre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Jiali ZhouCentre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
He BaiCentre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Liying ZhouCentre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Shiyi ShanCentre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Zeyu LuoCentre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Jin CaoCentre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Peige SongCentre for Clinical Big Data and Statistics of the Second Affiliated Hospital, Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Igor RudanCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Global Health Epidemiology Research Group (GHERG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoporosis is a degenerative disease of bone metabolism. The epidemiology of osteoporosis varies by age, sex, and geography. There is a lack of information on the prevalence of osteoporosis among Chinese adults. In this study, we aimed to estimate the prevalence of osteoporosis among Chinese adults by age, sex, and skeletal sites and explore the main associated factors. Methods: We searched six bibliographic databases to identify epidemiological studies that reported the prevalence of osteoporosis among Chinese adults published between January 1990 and February 2022. We applied a multilevel mixed-effects meta-regression to estimate the age-specific prevalence of osteoporosis. We presented the age-specific prevalence of osteoporosis by sex, diagnostic criteria (World Health Organization (WHO) and Chinese (CHN) diagnostic criteria), and specific skeletal site (the lumbar spine, femoral neck, and ward's triangle). We used the population data from the seventh National Census of Mainland China to estimate the number of Chinese adults with osteoporosis in 2020. Major associated factors for osteoporosis were pooled by a random-effects meta-analysis. We also estimated the regional prevalence and cases of osteoporosis among 31 provinces in mainland China in 2020 using an 'associated factor-based model.' Results: We included 129 articles in this systematic review and modelling study. 32 were based on the WHO diagnostic criteria and 17 on the CHN diagnostic criteria. Additionally, we included 83 articles in the associated factor analysis. The prevalence of osteoporosis increased with age and was consistently higher in females than males, regardless of diagnostic criteria and skeletal sites. Whether based on the WHO criteria (13.54%, 95% confidence interval (CI) = 10.25, 18.11) or the CHN criteria (29.49%, 95% CI = 18.29, 43.5), the prevalence of osteoporosis among Chinese adults aged 20-89 years in 2020 was highest when measuring the ward's triangle, which translated to 145.86 million (95% CI = 110.41, 195.03) and 317.54 million (95% CI = 196.95, 468.47) affected adults, respectively. The prevalence of osteoporosis was the highest in Northeast China under both the WHO criteria (15.50%, 95% CI = 11.78, 20.59) and the CHN criteria (32.36%, 95% CI = 20.33, 46.8), with the ward being the measured skeletal site. Marital status, current smoking, underweight, hypertension, fracture history, longer menopause years and menopause were positively associated with osteoporosis. Conclusions: Osteoporosis remains a significant public health concern in China, particularly among females and the elderly. Meanwhile, the prevalence of osteoporosis varies considerably by region, skeletal site and diagnostic criteria. It is essential to establish clear and unified diagnostic criteria and implement high-quality epidemiological studies for osteoporosis in China. Additionally, targeted preventive strategies that focus on individuals with characteristics associated with osteoporosis are required to mitigate the impact of this condition. Registration: PROSPERO: CRD42024564441.

Indexed as

OsteoporosisAdultAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansMaleMiddle AgedPrevalenceRisk Factors

Identifiers

PMID39820179
PMCPMC11737814

What OpenQuestion holds

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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 OpenQuestion graph.