A study on prevalence of risk factors for osteoporosis in Postmenopausal women and the importance of Osteoporosis self- assessment tool (OST) in identifying osteoporotic risk
Osteoporosis is a highly prevalent health issue among postmenopausal women, which can be prevented if identified in the early stages. The use of Osteoporosis Self - assessment Tool (OST) will help in identifying the risk of osteoporosis and hence will allow the patients to seek the best treatment if required. In this study we assessed the prevalence of risk factors for osteoporosis in 400 Postmenopausal women and have measured the osteoporotic risk using OST. The risk factors and risk scores were correlated using spearman’s rho correlation analysis. As per the postmenopausal classification, 52% of the population belonged to the late stage. Average BMI of the population was found to be 19.5 that is borderline of the normal which indicates the risk for Osteoporosis. Attaining early menopause 243(60.75%) and history of fall 223(55.75%) was the most common risk factors found in the population. Using OST, 78 patients were identified with high risk. The correlation between OST and risk factors revealed that OST is positively significant with the progression of menopausal stage. Patient education regarding the use and interpretation of OST will help to identify risk of osteoporosis; this should be implemented within the primary gynecological care units for the better outcome.
Keywords: Osteoporosis, postmenopausal women, risk factors, Osteoporosis Self - assessment Tool.
2. Tabasum P. Postmenopausal osteoporosis. JK-Practitioner, 2004; 11(4):281-3.
3. Gershman J. 2018 March 30. Osteoporosis prevention counselling points. [ONLINE] Available at: https://www.pharmacytimes.com/contributer/Jennifergershmanpharmdcph/2018/03/4osteoporosispreventioncounselling-points . [Accessed on 4 March 2019].
4. Saravi FD. Osteoporosis self-assessment Tool performance in a large sample of postmenopausal women of Mendoza. Argentina. J Osteoporos, 2013.
5. Sherchan B, Lamichhane A, Mahara DP. Osteoporosis Self-assessment Tool for Asian (OSTA) index in comparison to Quantitative Ultrasound of the Calcaneal in predicting Low Bone Density. Nepal Orthop Assoc. J, 2014; 3(2):20-25.
6. Medscape. Osteoporosis Self-Assessment Tool for women. 2017. Available via: https://reference.medscape.com/calculator/osteoporosisself-assessment-women. [Accessed 4 April 2019]
7. Healthhub.sg. Osteoporosis. 2019. Available via: https://www.healthhub.sg/a-z/diseases-and-conditions/19/bonehealth [Accessed 5 March 2019].
8. Harlow SD, Gass M, Hall JE, Lobo R, Maki P, Reba RW, Sherman S, Sluss PM, DeVillliers TJ. Executive summary of the stages of Reproductive aging workshop +10: addressing the unfinished agenda of staging reproductive aging. Collaborative Group. Menopause, 2012; 19(4).
9. Varella LRD, Torres VB, Melo Angelo PH, De Oliveira MCE, Matias De Barros AC, De Souza RamalhoViana E, De Albuquerque Barbosa Cabral Micussi MT. Influence of parity, type of delivery, and physical activity level on pelvic floor muscles in postmenopausal women. J Phys Ther Sci, 2016; 28(3):824-30.
10. Stupar NV, Radojcic L, Tadic I, Pavlov-Dolijanovic S. Osteoporosis-related knowledge among Serbian postmenopausal women. Vojnosanit Pregl, 2017; 74(5):445-9.
11. Janiszewska M, Kulik T, Dziedzic M, Zolnierczuk-Kieliszek D. Chosen risk factors for osteoporosis and the level of knowledge about the disease in peri- and postmenopausal women. Prz Menopauzalny, 2015; 14(1):27-34.
12. Burke-Doe A, Hudson A, Werth H, Riordan DG. Knowledge of osteoporosis risk factors and prevalence of risk factors for osteoporosis, falls and fracture in functionally independent older adults. J Geriatr Phys Ther, 2008; 31(1):11-7.
13. Yang Y, Wang B, Fei Q, Meng Q, Li D, Tang H, Li J, Su N et al,. Validation of an osteoporotic self-assessment tool to identify primary osteoporosis and new osteoporotic vertebral fractures in postmenopausal Chinese women in Beijing. BMC Musculoskelet Disord, 2013; 14:271.
14. Rubin KH, Abrahamsen B, Friis-Holmberg T, Hjelmborg JV, Bech M, Hermann AP, Barkmann R, Gluer CC, Brixen K. Comparison of different screening tools (FRAX®, OST, ORAI, OSIRIS, SCORE and age alone) to identify women with increased risk of fracture. A population-based prospective study. Bone, 2013; 56(1):16-22
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).