Estimated prevalence of osteoporosis from a Nationwide Health Insurance database in Taiwan

Yang, Nan Ping; Deng, Chung Yeh; Chou, Yiing Jenq; Chen, Po Quang; Lin, Ching Heng; Chou, Pesus; Chang, Hong

doi:10.1016/j.healthpol.2005.04.009

Cited by 79 publications

(61 citation statements)

References 31 publications

(31 reference statements)

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“…3b and c) [32,33]. One study included both women and men [33], and the other included just women [32].…”

Section: The Prevalence Of Osteoporosis In Taiwanmentioning

confidence: 99%

“…3b and c) [32,33]. One study included both women and men [33], and the other included just women [32]. However, these two studies did not provide comparable data because one reported an overall prevalence of osteoporosis, where as the other provided the osteoporosis rates solely by skeletal site.…”

Section: The Prevalence Of Osteoporosis In Taiwanmentioning

confidence: 99%

“…b Taiwan, among adults by age and gender: 1999-2001. Based on Taiwan's National Health Insurance (NHI) database collected in 1999-2001, which included 33,633 men and women aged 50 years and over [33]. c Taiwan: time trends in age-specific prevalence, 1996-2001.…”

Section: The Prevalence Of Osteoporosis In Taiwanmentioning

confidence: 99%

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Osteoporosis in China

et al. 2009

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“…3b and c) [32,33]. One study included both women and men [33], and the other included just women [32].…”

Section: The Prevalence Of Osteoporosis In Taiwanmentioning

confidence: 99%

Section: The Prevalence Of Osteoporosis In Taiwanmentioning

confidence: 99%

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Osteoporosis in China

et al. 2009

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“…This academic cohort database was tested and found no notable differences in age, sex or medical costs for the enrollees [11] . Likewise, several studies have been conducted to evaluate the prevalence, the incidence and the associated factors of other diseases by using such an NHI research database [12,13] . We evaluated the prevalence and incidence of optic neuritis for 5 years from 2000 to 2004 using this academic cohort database.…”

Section: Data Sourcementioning

confidence: 99%

Optic Neuritis among National Health Insurance Enrollees in Taiwan, 2000–2004

Woung

Lin²,

Tsai³

et al. 2007

Neuroepidemiology

Self Cite

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Background: The objective was to examine the incidence of optic neuritis in Taiwan. A 5-year longitudinal, nationwide, population-based study was conducted. The participants were a random sample of 191,761 subjects, or about 1% of the enrollees in the National Health Insurance program of Taiwan. Methods: We identified subjects who had at least 1 service claim for ambulatory or inpatient care with a principal diagnosis of optic neuritis between 2000 and 2004. We calculated and statistically analyzed the rates of optic neuritis. The main outcome measures were the incidence rates of optic neuritis. Results: From 2000 to 2004, the total cumulative incidence was 1.33 per 1,000 (1.00 vs. 1.67 for male vs. female subjects; p < 0.001, χ² test). The cumulative incidence rates for the age groups of 0–19, 20–39, 40–59 and ≧60 years were 0.33, 1.05, 2.16 and 2.81 cases per 1,000, respectively. Among the subjects aged 40–59 years, the cumulative incidence was higher in women than in men (p < 0.001, χ² test). The incidence density of developing multiple sclerosis after optic neuritis was 0.41% per person-year, and the cumulative incidence of multiple sclerosis after a new diagnosis of optic neuritis was 0.78%. Conclusions: We believe our study is the first nationwide investigation of the incidence rates of optic neuritis in Taiwan. In our investigation, the cumulative incidence peaked among the subjects aged 40–59 years, especially in women. In Taiwan, patients with optic neuritis have a notably low rate of conversion to multiple sclerosis.

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“…The averaged prevalence of osteoporosis in NHI was 1.63% for men (Yang et al, 2006). The major reason was that most elderly people were evaluated by orthopedic surgeons, who perceived these males as being at risk of osteoporosis and required them to undergo BMD examinations.…”

Section: Discussionmentioning

confidence: 99%

Optimal Analysis to Discriminate Males’ Osteoporosis With Simple Physiological Indicators

Chang

Yang

2016

Am J Mens Health

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Males account for one third of global hip fracture patients, and their hip fracture-related mortality rate is higher than that of females. Scholars have primarily investigated self-evaluation indicators for elderly Caucasians and other ethnicities, and have rarely conducted large-scale cutoff point studies on Asian males. In this study, a large-scale database on bone mineral density (BMD) examinations was used to conduct a cutoff point study on males with osteoporosis. This study involved a retrospective research design. Males who accepted BMD examinations from 2009 to 2012 at a large teaching hospital in Taiwan were sampled in this study. This study used the database for analyzing effects with using osteoporosis self-assessment indicator, age, body weight, and body mass index (BMI) to discriminate osteoporosis in males, specifically focusing on accuracy, cutoff point, sensitivity, specificity, and positive and negative predictive values. Overall, receiver operating characteristic curve for the samples reached 70%. These cutoff points included: a body weight is less than 58.8 kg, BMI is 23 kg/m 2 , and the osteoporosis self-assessment score is −1.86, to identify osteoporosis. Involving body weight and BMI as optimal assessing indicators for assessing osteoporosis among males younger than 65 years, and the osteoporosis self-assessment tool was ideal for measuring males older than 65 years. Professional health staff should apply convenient, low-cost, and accurate evaluation tools that can assist Asian males in planning preventive osteoporosis strategies to avoid osteoporotic fractures and death.

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Estimated prevalence of osteoporosis from a Nationwide Health Insurance database in Taiwan

Cited by 79 publications

References 31 publications

Osteoporosis in China

Osteoporosis in China

Optic Neuritis among National Health Insurance Enrollees in Taiwan, 2000–2004

Optimal Analysis to Discriminate Males’ Osteoporosis With Simple Physiological Indicators

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