Approximately 9.24% of the Taiwanese population is aged 65 years or older. Among them, osteoporosis is a major problem, along with it associated age-related fractures. We investigated the prevalence of osteoporosis in 1996-2001 by sampling Taiwan's National Health Insurance (NHI) database. Data from 102,763 men (51.27%) and 97,654 women (48.73%) were evaluated. In this cohort, osteoporosis was recorded in each yearly dataset if the codes 733.0 or 733.00-733.09 were found on a search of the administrative or outpatient sub-databanks. A stable estimated prevalence of osteoporosis was calculated according to Taiwan's NHI sampling data from 1999 to 2001. The results showed a trend toward increasing proportions of coded osteoporosis with age, more predominantly in the female population. The averaged prevalence of osteoporosis, between 1999 and 2001, in those aged > or = 50 years was 1.63% for men and 11.35% for women. These estimates were lower than those reported elsewhere for Taiwan and for Japan but more equal to that in the Mexican American sub-population of the United States. In conclusion, the prevalence of osteoporosis is underestimated in the NHI database. Policymakers should be aware of this finding and allocate resources accordingly.
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http://dx.doi.org/10.1016/j.healthpol.2005.04.009 | DOI Listing |
Osteoporos Sarcopenia
December 2024
Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore.
Osteoporosis in men remains a significantly underrecognized condition, with notable differences in bone mineral density (BMD) and fracture risk between Asian and Western populations. Despite 30% of hip fractures globally occurring in men, they are less likely to be diagnosed or treated for osteoporosis, especially in resource-limited settings. Given these disparities, a deeper understanding of osteoporosis epidemiology and treatment efficacy in men is essential, particularly in Asian populations.
View Article and Find Full Text PDFCureus
January 2025
Orthopedic Surgery, King Abdulaziz University, Jeddah, SAU.
Introduction Osteoporosis mainly affects postmenopausal women and is characterized by decreasing bone mass and an increased risk of fracture. As populations age, it becomes more common and is frequently missed until fractures happen. Simultaneously, there is conflicting evidence about the relationship between bone health and diabetes, a chronic metabolic illness, with varying effects on the skeletal system.
View Article and Find Full Text PDFIran J Pharm Res
June 2024
Department of Pharmacoeconomics and Pharmaceutical Administration, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Context: Breast cancer poses significant challenges due to its high incidence and prevalence, necessitating heightened attention. Understanding how patients prioritize different treatment options based on various attributes can assist healthcare decision-makers in maximizing patient utility. The discrete choice experiment, a conjoint method, facilitates preference elicitation by presenting different attributes and choices.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Danderyd Hospital, Department of Orthopaedic Surgery, Stockholm, Sweden.
Background: Spinal fractures are a group of complex injuries whose management varies according to a number of factors. The aim of this study was to analyze trends in the management of spinal fracture surgery in Sweden from 2008 to 2023 with a focus on disparities based on gender, surgery method, age and geographical location. A secondary aim was to predict future incidence of spinal fracture surgeries.
View Article and Find Full Text PDFAging Clin Exp Res
January 2025
The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, 621000, China.
Background: Osteopenia (ON) and osteoporosis (OP) are highly prevalent among postmenopausal women and poses a challenge for early diagnosis. Therefore, identifying reliable biomarkers for early prediction using metabolomics is critically important.
Methods: Initially, non-targeted metabolomics was employed to identify differential metabolites in plasma samples from cohort 1, which included healthy controls (HC, n = 23), osteonecrosis (ON, n = 36), and osteoporosis (OP, n = 37).
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