ECTS2016 Poster Presentations Osteoporosis: pathophysiology and epidemiology (55 abstracts)
Prevalence and related factors assessment of osteoporotic fracture in rural population: the Korean Genomic Rural Cohort study
Young Jun Won 1 , Jung Soo Lim 2 , Soo In Choi 2 , Young Goo Shin 2 , Choon Hee Chung 2 , Sae Jin Jang 2 , Sang Beak Koh 2 , So Yeon Ryu 3 , Tea Yung Lee 4 & Jea Suk Song 1
1Catholic Kwandong University College of Medicine, Incheon, Republic of Korea; 2Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; 3Chosun University College of Medicine, Kwangju, Republic of Korea; 4Chungnam University College of Medicine, Daejeon, Republic of Korea.
Objective: Due to the increase in the elderly population, osteoporosis and related fractures are increasing and causes serious social problems such as lower quality of life of seniors and economic loss. This study is aimed towards the general population in rural areas for prevalence and related risk factors of osteoporotic fracture.
Materials and methods: The research comes from the Korean Rural Genomic Cohort study consisting of 10 111 people, 4090 men and 6021 women, ranging from 40 to 70 years old from rural areas in Korea. The questionnaire results show that 907 men experienced fractures with 208 fractures due to osteoporosis. 1058 women experienced fractures with 603 fractures due to osteoporosis. Fractures and related clinical factors were collected through questionnaire, bone mineral density was measured with heel quantitative ultrasound, and osteoporotic fracture groups were statistically analyzed.
Results: Osteoporotic fractures prevalence is 8% overall, with women having double the prevalence of women at 10%, men had 5%. In age groups, men 40–49, 50–59, and at least 70 years old had prevalence of 4.5, 5.7, and 7.3% respectively. For women, 40–49, 50–59, and at least 70 years old had prevalence of 4.8, 9.0, and 16.8% respectively. Comparing osteoporotic fracture and non-fracture groups, age and bone density T-scores were statistically significant (P<0.05) factors for men while age, T-score, waist–hip-ratio, muscle mass, and time period after menopause were statistically significant factors for women. After adjusting for age, both men’ bone density T-score (OR=0.855, 95% CI: 0.768–0.951) and women’ bone density T-score (OR=0.822, 95% CI: 0.767–0.879) were statistically significant. For women, family history of osteoporotic fracture and smoking habits were correlated with osteoporotic fractures.
Conclusion: Osteoporotic fracture prevalence is 8%, with women having significant correlation factors in age, bone density T-score, family history of osteoporotic fracture, and smoking habits.
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