Evidence map›Paper›PMID 41880073›Full record

ArticleArchives of osteoporosis2026

Impact of bone mineral density testing in the national health screening program on osteoporosis-related medical visits and fractures among women.

Jae Hyeok Lim, Jiyeon Chun, Gyung-Joo Min, Dan Bi Kim, Jisu Ko, Eun-Cheol Park

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Article in Archives of osteoporosis, 2026. 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

What it found

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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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5 · Who and what money

Authors and funding

6 authors.

Jae Hyeok LimDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Jiyeon ChunDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Gyung-Joo MinDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Dan Bi KimDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Jisu KoDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Eun-Cheol ParkInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea. ECPARK@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation of the effectiveness of bone mineral density (BMD) testing within national health screening programs should consider country-specific contexts when applied to asymptomatic populations. BMD testing at age 66 in women was associated with increased osteoporosis-related medical visit and a reduction of subsequent fracture incidence. These findings suggest potential benefits of population-based screening with BMD testing. PURPOSE: Early detection of osteoporosis through bone mineral density (BMD) testing may help prevent future fractures. This study aimed to investigate the impact of incorporating BMD testing in South Korea's national health screening program on outpatient visits with an osteoporosis diagnosis and fractures.

methodsWe used data from the Korean National Health Insurance Service-Senior Cohort (2002-2019) and included only women aged 66 years, as specified by national screening policy, without prior osteoporosis who underwent national health screening between 2004 and 2009. Screening periods were categorized by the inclusion of BMD testing. Outcomes included osteoporosis-related medical visits within two years and incident osteoporotic fractures. Multivariable logistic regression and Cox proportional hazards regression were used to examine osteoporosis detection and fracture risk, respectively.

resultsAmong the 24,895 women screened, 24.7% had osteoporosis-related medical visits within two years, and 21.5% experienced fractures during follow-up. Compared to the period without BMD testing, the inclusion of BMD testing was associated with a 52% increase in osteoporosis-related medical visits (odds ratio: 1.52, 95% confidence interval [CI]: 1.42-1.62), whereas the risk of subsequent fractures was reduced by 9% (hazard ratio: 0.91, 95% CI: 0.86-0.96). These associations were more pronounced among those with low body mass index and significant during the 5-10 years of follow-up for hip and vertebral fractures.

conclusionNationwide implementation of BMD testing increased the medical visits for osteoporosis and was associated with a reduction in subsequent fractures. To further enhance the effectiveness of the screening program, improved post-screening management is needed.

Indexed as

Ambulatory CareBone DensityMass ScreeningNational Health ProgramsOsteoporosisAbsorptiometry, PhotonAgedFemaleHumansIncidenceOdds RatioOsteoporotic FracturesRepublic of KoreaRetrospective StudiesBone mineral densityCohort studyFractureNational screeningOsteoporosis

Identifiers

PMID41880073
PMCPMC13018048

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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.