Evidence map›Paper›PMID 40353058›Full record

ArticleAging medicine (Milton (N.S.W))2025

Age-Period-Cohort Analysis and Prediction of Falls Disease Burden Attributable to Low Bone Mineral Density in China, 1990-2019.

Ping Wang, Qingping Liu, Jing Wang, Jing Du, Chao Tong, Zaihua Wei, Jianting Su

Abstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Long-term trends in the burden of fracture of vertebral column in China: a comprehensive analysis from 1990 to 2021 based on the global burden of disease study 2021.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  2. [Analysis of disease burden of fall-related fractures among elderly Chinese from 1990 to 2023].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
    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

7 authors.

Ping WangDepartment of Statistics and Information Beijing Center for Disease Prevention and Control Beijing China.ORCID https://orcid.org/0000-0003-0069-5458
Qingping LiuDepartment of Statistics and Information Beijing Center for Disease Prevention and Control Beijing China.
Jing WangDepartment of Statistics and Information Beijing Center for Disease Prevention and Control Beijing China.
Jing DuDepartment of Statistics and Information Beijing Center for Disease Prevention and Control Beijing China.
Chao TongDepartment of Statistics and Information Beijing Center for Disease Prevention and Control Beijing China.
Zaihua WeiDepartment of Statistics and Information Beijing Center for Disease Prevention and Control Beijing China.
Jianting SuDepartment of Statistics and Information Beijing Center for Disease Prevention and Control Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to comprehensively describe and analyze the disease burden of falls attributed to low bone mineral density (BMD) in China from 1990 to 2019. Furthermore, we seek to predict the future trends of this burden from 2020 to 2030 to inform evidence-based prevention and control strategies. Methods: Using data from the 2019 Global Burden of Disease (GBD) study, we conducted an in-depth analysis of mortality and disability-adjusted life year (DALY) trends related to falls attributed to low BMD in China from 1990 to 2019. An age-period-cohort (APC) model was employed to estimate mortality risk, accounting for age, period, and cohort effects. A Bayesian framework was utilized to project mortality and DALY rates for the period 2020-2030. Results: From 1990 to 2019, there was a significant increase in both crude death rate (224.79%) and DALY rate (196.27%) among the Chinese population affected by falls due to low bone mineral density. The standardized death rate was higher among males compared to females; however, the standardized DALY rate remained lower than that observed among females throughout this period. Importantly, China witnessed a greater surge in deaths and DALYs compared with global figures as well as other socio-demographic index regions during this time frame. The APC model demonstrated a global change of 1.06% (95% confidence interval [CI]: 0.910-1.210) for men and 0.29% (95% CI: 0.147-0.426) for women over time. The death rate increased across all age groups for men, while it specifically increased for women aged 62.5 years and older. The risk of mortality dramatically escalates for individuals over 80 years old. Projections indicate a decline in the standardized mortality rate from falls due to low bone mineral density in both men and women in China during the period of 2020-2030; however, an increase is anticipated in the standardized DALY rate. Conclusions: The mortality risk associated with falls due to low BMD in China is influenced by age, period, and cohort effects. Strengthening fall prevention and treatment strategies for older adults and younger birth cohorts, as well as addressing fall-related disabilities, is crucial to reducing the substantial burden posed by non-fatal falls. Targeted interventions are needed to mitigate the growing health and economic impacts of this public health issue.

Indexed as

age‐period‐cohort modeldisease burdenfallforecastlow bone mineral density

Identifiers

PMID40353058
PMCPMC12064982

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.