Evidence map›Paper›PMID 39514059›Full record

ArticleArchives of osteoporosis2024

Osteoporosis incidence and its associated factors in the older Korean population: findings from a population-based cohort study.

Tanmoy Das, Md Abdullah Al Jubayer Biswas, Prosanta Mondal, Sabuj Sarker, Hyun J June Lim

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Article in Archives of osteoporosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tanmoy DasHealth Science Program, College of Medicine, University of Saskatchewan, Saskatoon, Canada. tad876@usask.ca.
Md Abdullah Al Jubayer BiswasCollaborative Program in Biostatistics, University of Saskatchewan, Saskatoon, Canada.
Prosanta MondalDepartment of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, Canada.
Sabuj SarkerHealth Science Program, College of Medicine, University of Saskatchewan, Saskatoon, Canada.
Hyun J June LimDepartment of Community Health and Epidemiology, and School of Public Health, College of Medicine, University of Saskatchewan, Saskatoon, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In South Korea, osteoporosis incidence among the elderly was unclear. Our study revealed an incidence of 18.4 per 1000 person-years, with higher rates in females and those with lower education. The findings indicate a need for targeted prevention strategies to guide health policy for improved osteoporosis care for the elderly.

backgroundAlthough osteoporosis significantly affects morbidity and mortality among the older population in South Korea, the incidence of osteoporosis and its associated factors within this demographic group remains unclear.

methodWe analyzed data from the Korean National Health Panel Survey, a nationally representative, population-based panel survey covering 2008 to 2018, to compute the incidence of osteoporosis among South Koreans aged 50 and older. Using the stepwise Cox Proportional Hazard model, we then identified and determined the associated factors of osteoporosis.

resultOut of the 7304 study participants in our analysis, we identified 792 osteoporosis events, resulting in an overall cumulative incidence rate of 18.4 per 1000 person-years. The incidence of osteoporosis increased steadily with age and was higher among those with lower levels of education. We also found that female study participants were at a statistically significant 7.2-fold higher risk (aHR = 7.2, 95% CI = 5.8-8.8) of developing osteoporosis compared to males. At the same time, those with hyperlipidemia had a statistically significant 1.3-fold increased risk (aHR = 1.3, 95% CI = 1.1-1.4) of developing osteoporosis.

conclusionOur study highlights a significant proportion of the older South Korean population developed osteoporosis, especially among those who are older, females, and who have hyperlipidemia. This indicates the pressing need for the government's and healthcare systems' consideration of osteoporosis diagnosis and prevention strategies to ensure the health and well-being of the older South Korean population.

Indexed as

OsteoporosisAgedAged, 80 and overCohort StudiesFemaleHealth SurveysHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRepublic of KoreaRisk FactorsHyperlipidemiaKNHPSOlder KoreanOsteoporosisSouth Korea

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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.