Main Article Content
Objective: To determine prevalence and related factor of people with high risk of fracture in next 10 year.
Methods: Descriptive study of 299 people aged 40-90 years was studied in Bangsitong subdistrict, Nonthaburi. Data was obtained using FRAX® to predict 10-year probability of fracture and calculate prevalence of people with high risk of fracture. Related factors associated people with high risk of fracture was obtained using general information questionnaire and were assessed by Binary logistic regression with Forward stepwise.
Results : The prevalence of people with high risk of fracture in the next 10-year was 19.7 percent. The related factors that have statistically significant were female sex (adj.Odds ratio 3.41, 95%CI 1.43-8.13), the population aged 80 and over (adj.OR 20.69, 95%CI 7.31-58.56), high BMI (adj.OR 0.44, 95%CI 0.21-0.91) and unemployed or retired person (adj.OR 3.09, 95%CI 1.47-6.51).
Conclusions : The prevalence of people with high risk of fracture in the next 10-year in Bangsitong subdistrict was 19.7 percent. Risk factors of people with high risk of fracture were female sex, aged 80 and over and unemployed or retired person, whereas the protective factor of people with high risk of fracture was high body mass index (BMI).
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
2. Firoz A, Murugharaj S, Kandasamy R, Najimudeen S. Screening for absolute fracture risk using FRAX tool in men and women within 40-90 years in urban population of Puducherry, India. Int J Res Orthop 2017;3:105-56.
3. Kanis J, Johnell O. Requirements for DXA for the management of osteoporosis in Europe. Osteoporos Int 2004;16:229-38.
4. Saengsuda S. Prevalence of Osteoporosis and Osteopenia in Thai Female Patients at Rajavithi Hospital. J Health Sci 2013;22:242-50.
5. Songpatanasilp T, Sritara C, Kittisomprayoonkul W, Chaiumnuay S, Nimitphong H, Charatcharoenwitthaya N et al. Thai Osteoporosis Foundation (TOPF) position statements on management of osteoporosis. Osteoporosis and Sarcopenia 2016;2:191-207.
6. Center for metabolic bone diseases. FRAX® WHO fracture risk assessment tool [Internet]. 2008 [cited 2021 Feb 3]. Available from: http://www.shef.ac.uk/FRAX
7. Cosman F, de Beur S, LeBoff M, Lewiecki E, Tanner B, Randall S et al. Clinician’s Guide to Prevention and Treatment of Osteoporosis. Osteoporos Int 2014;25:2359-81.
8. Health Data Center. Census report [Internet]. 2020 [cited 2020 Feb 29]. Available from: https://hdcservice.moph.go.th
9. Wongtriratanachai P, Luevitoonvechkij S, Songpatanasilp T, Sribunditkul S, Leerapun T, Phadungkiat S et al. Increasing Incidence of Hip Fracture in Chiang Mai, Thailand. Journal of Clinical Densitometry 2013;16:347-52.
10. Chung P, Zhou S, Eslami B, Shen L, LeBoff M, Glowacki J. Effect of Age on Regulation of Human OsteoclastDifferentiation. J Cell Biochem 2014;115:1412-9.
11. Sirisorsakul N, Wongwai K, Tipchaichatta K, Tamjaijitr K, Senchantichi K, Kiatnarumon J et al. Prevalence of 40-90 Year-old Women with High Risk of Fracture in Baan Nagnarm Community, Takradarn, Sanhamchaiket, Chachoengsao Province Using FRAX. Royal Thai army medical journal 2015;68:17-26.
12. Nordström A, Olsson T, Nordström P. Bone gained from physical activity and lost through detraining: a longitudinal study in young males. Osteoporos Int 2005;16:835-41.
13. Mazocco L, Chagas P. Association between body mass index and osteoporosis in women from northwestern Rio Grande do Sul. Rev Bras Reumatol 2017;57:299-305.