Evaluation of Osteoporosis Self-Assessment Tool Usefulness as a Screening Test for Osteoporosis in Korean Men

Lee, Chang-Hun; Oh, Seung Won; Seung, Jeung Hwan; Jin, Hyun Jung; Lym, Youl Lee; Choi, Jaekyung; Joh, Hee Kyung; Kweon, Hyuk-Jung; Cho, Dong Yung

doi:10.4082/kjfm.2009.30.12.944

Cited by 3 publications

(10 citation statements)

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“…To develop a simple and effective model, we first defined a baseline model for age and body weight, which were fundamental factors in the previously developed models. 18 19 20 21 22 23 24 We then investigated the incremental effect of adding regular exercise to predict osteoporosis. The effect of regular exercise on BMD is still controversial.…”

Section: Discussionmentioning

confidence: 99%

“…We selected potential risk and protective factors for osteoporosis based on previous studies and statistical investigation of the development dataset. Age, 18 19 20 21 22 23 24 body weight, 17 18 19 20 21 22 23 24 quantitative ultrasound index, 17 22 gastrectomy, 18 emphysema, 18 previous (low impact) fracture, 18 and history of chronic obstructive pulmonary disease 19 were evaluated because they were components of previously developed osteoporosis risk-assessment models. 17 18 19 20 21 22 23 24 Additionally, all components of the World Health Organization Fracture Risk Assessment Tool (FRAX®) 30 except corticosteroid use, secondary osteoporosis, and parent fractured hip were evaluated.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, the Osteoporosis Self-assessment Tool, similar to the Osteoporosis Self-assessment Tool for Asian (OSTA), has also been widely validated in American men, 20 African American men, 21 American and Hong Kong Chinese men, 22 Filipino men, 23 and Korean men. 24 However, the subjects used in the Korean OSTA studies were limited to patients at a few clinics. Meanwhile, the Korea National Health and Nutrition Examination Survey (KNHANES) included DXA tests since the middle of 2008, 25 which is the first nationwide bone mineral density (BMD) dataset for the Korean population.…”

Section: Introductionmentioning

confidence: 99%

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Development and Validation of Osteoporosis Risk-Assessment Model for Korean Men

Song

Nam

et al. 2016

Yonsei Med J

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PurposeThe aim of the present study was to develop an osteoporosis risk-assessment model to identify high-risk individuals among Korean men.Materials and MethodsThe study used data from 1340 and 1110 men ≥50 years who participated in the 2009 and 2010 Korean National Health and Nutrition Examination Survey, respectively, for development and validation of an osteoporosis risk-assessment model. Osteoporosis was defined as T score ≤-2.5 at either the femoral neck or lumbar spine. Performance of the candidate models and the Osteoporosis Self-assessment Tool for Asian (OSTA) was compared with sensitivity, specificity, and area under the receiver operating characteristics curve (AUC). A net reclassification improvement was further calculated to compare the developed Korean Osteoporosis Risk-Assessment Model for Men (KORAM-M) with OSTA.ResultsIn the development dataset, the prevalence of osteoporosis was 8.1%. KORAM-M, consisting of age and body weight, had a sensitivity of 90.8%, a specificity of 42.4%, and an AUC of 0.666 with a cut-off score of -9. In the validation dataset, similar results were shown: sensitivity 87.9%, specificity 39.7%, and AUC 0.638. Additionally, risk categorization with KORAM-M showed improved reclassification over that of OSTA up to 22.8%.ConclusionKORAM-M can be simply used as a pre-screening tool to identify candidates for dual energy X-ray absorptiometry tests.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development and Validation of Osteoporosis Risk-Assessment Model for Korean Men

Song

Nam

et al. 2016

Yonsei Med J

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“…In addition, a subject's OSTA score was calculated by using {(weight in kilograms−age in years)×0.2}, truncated to yield an integer (Figure 1). 16)…”

Section: Methodsmentioning

confidence: 99%

“…It is considered simple and effective, and has been validated for use in women in Asian and Caucasian populations 131415). The index has also been validated in American and Asian studies 10111216). Theses studies also enrolled men aged over 70 years.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Predictive Index for Osteoporosis as a Clinical Tool to Identify the Risk of Osteoporosis in Korean Men by Using the Korea National Health and Nutrition Examination Survey Data

Kim

Kong

2016

Korean J Fam Med

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BackgroundWe previously proposed the Predictive Index for Osteoporosis as a new index to identify men who require bone mineral density measurement. However, the previous study had limitations such as a single-center design and small sample size. Here, we evaluated the usefulness of the Predictive Index for Osteoporosis using the nationally representative data of the Korea National Health and Nutrition Examination Survey.MethodsParticipants underwent bone mineral density measurements via dual energy X-ray absorptiometry, and the Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians were assessed. Receiver operating characteristic analysis was used to obtain optimal cut-off points for the Predictive Index for Osteoporosis and Osteoporosis Self-Assessment Tool for Asians, and the predictability of osteoporosis for the 2 indices was compared.ResultsBoth indices were useful clinical tools for identifying osteoporosis risk in Korean men. The optimal cut-off value for the Predictive Index for Osteoporosis was 1.07 (sensitivity, 67.6%; specificity, 72.7%; area under the curve, 0.743). When using a cut-off point of 0.5 for the Osteoporosis Self-Assessment Tool for Asians, the sensitivity and specificity were 71.9% and 64.0%, respectively, and the area under the curve was 0.737.ConclusionThe Predictive Index for Osteoporosis was as useful as the Osteoporosis Self-Assessment Tool for Asians as a screening index to identify candidates for dual energy X-ray absorptiometry among men aged 50–69 years.

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A New Predictive Index for Osteoporosis in Men under 70 Years of Age: An Index to Identify Male Candidates for Osteoporosis Screening by Bone Mineral Density

Kim

Kong

2014

Journal of Osteoporosis

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Background. Bone mineral density (BMD) screening guidelines for osteoporosis in men seem to have remained unclear. We aimed to set up a predictive index for the osteoporosis(PIO) in men under 70 years of age and present the optimal cutoff value of it, so that clinicians might use it to identify male candidates who benefit from taking the BMD screening. Methods. Adult men under 70 years old who met certain criteria were included. With the determined significant predictors for osteoporosis, we created a new index that presumably best predicts the osteoporosis and compared the predictability of it to other variables. Lastly, the optimal cutoff value of the PIO was calculated. Results. A total of 359 men were included. Age, weight, and current smoking status turned out to be significant predictors for osteoporosis. The PIO was as follows: [age(years) + 10 (for current smoker)]/weight(kg). Compared to other variables, the PIO showed the greatest predictive performance with the optimal cutoff point being 0.87 at which sensitivity and specificity were 71.9% and 70.0%, respectively. Conclusion. A new predictive index appeared to predict the presence of osteoporosis fairly well and thus can be used with its cutoff point to identify men under 70 years of age who need BMD screening.

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Evaluation of Osteoporosis Self-Assessment Tool Usefulness as a Screening Test for Osteoporosis in Korean Men

Cited by 3 publications

References 10 publications

Development and Validation of Osteoporosis Risk-Assessment Model for Korean Men

Development and Validation of Osteoporosis Risk-Assessment Model for Korean Men

Evaluation of the Predictive Index for Osteoporosis as a Clinical Tool to Identify the Risk of Osteoporosis in Korean Men by Using the Korea National Health and Nutrition Examination Survey Data

A New Predictive Index for Osteoporosis in Men under 70 Years of Age: An Index to Identify Male Candidates for Osteoporosis Screening by Bone Mineral Density

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