Factors Predicting the Physical Function in Patients with Osteoporotic Fracture

Main Article Content

Thassanate Phuttaraksa
Suporn Danaidutsadeekul
Orapan Thosingha
Aasis Unnanuntana


           Purpose: To study the predictive power of body mass index, knowledge of osteoporosis, pain and location of the fracture on the physical function in patients with osteoporotic fracture patients.

          Design: Predictive correlational research design.

          Methods: The sample group consisted of 103 patients with osteoporotic fracture receiving follow-up for 6-18 months at the King Chulalongkorn Memorial Hospital. Data were collected using Personal Information Questionnaire, Body Mass Index Record Form, the Facts on Osteoporosis Quiz (FOOQ), Numerical Pain Scores, and Osteoporosis Assessment Questionnaire-Physical Function (OPAQ-PF).  The predictive power was analyzed using a simultaneous multiple regression analysis.

          Main findings: The patients were mostly females 80.6% with an age average of 73.99 years (SD = 9.28). The average score of physical function was 62.98 (SD = 27.45), body mass index 22.82 kg/m2 (SD = 3.74), knowledge of osteoporosis 10.05 (SD = 3.88), pain 2.5 (SD = 2.57). The location of fracture were found at spine 55.3% and hip 44.7%. The analysis revealed that body mass index, pain, knowledge of osteoporosis, and location of fracture could together account for 18.5% of the variance explained in the physical function in patients with osteoporotic fracture. The factor having most predictive power was pain, followed by knowledge of osteoporosis and location of fracture, respectively, whereas the body mass index could not predict the physical function in osteoporotic fractures patients.

          Conclusion and recommendations: The results of the study revealed that pain and knowledge of osteoporosis is important for physical function in patients with osteoporosis fractures. Therefore, the patients should well receive pain management and knowledge about osteoporosis to help them in recuperation for effective physical function.

Article Details

How to Cite
Phuttaraksa, T., Danaidutsadeekul, S. ., Thosingha, O. ., & Unnanuntana, A. . (2021). Factors Predicting the Physical Function in Patients with Osteoporotic Fracture. Nursing Science Journal of Thailand, 39(3), 60–73. Retrieved from https://he02.tci-thaijo.org/index.php/ns/article/view/248209
Research Papers


International Osteoporosis Foundation (IOF). Facts and statistics [Internet]. Lyon: IOF; 2017 [cited 2019 Jun 3]. Available from: https://www.iofbonehealth.org/facts-statistics.

Warriner AH, Patkar NM, Curtis JR, Delzell E, Gary L, Kilgore M, et al. Which fractures are most attributable to osteoporosis? J Clin Epidemiol. 2011;64(1):46-53. doi: 10.1016/j.jclinepi.2010.07.007.

Hamel MB, Toth M, Legedza A, Rosen MP. Joint replacement surgery in elderly patients with severe osteoarthritis of the hip or knee: decision making, postoperative recovery, and clinical outcomes. Arch Intern Med. 2008;168(13):1430-40. doi: 10.1001/archinte.168.13.1430.

Cheung C-L, Ang SB, Chadha M, Chow ES-L, Chung Y-S, Hew FL, et al. An updated hip fracture projection in Asia: The Asian Federation of Osteoporosis Societies study. Osteoporos Sarcopenia. 2018;4(1):16-21. doi: 10.1016/j.afos.2018.03.003.

Wajanavisit W, Woratanarat P, Sawatriawkul S, Lertbusayanukul C, Ongphiphadhanakul B. Cost-utility analysis of osteoporotic hip fractures in Thais. J Med Assoc Thai. 2015;98 Suppl 8:S65-9.

Songpattanasilp T. Holistic management of osteoporotic fractures. Bangkok: Beyond Enterprise; 2015. 564 p. (in Thai).

Tran T, Bliuc D, Hansen L, Abrahamsen B, van den Bergh J, Eisman JA, et al. Persistence of excess mortality following individual nonhip fractures: a relative survival analysis. Int J Clin Endocrinol Metab. 2018;103(9):3205-14. doi: 10.1210/jc.2017-02656.

Tungsiripracha S, Ruengtip P. Factors influencing the risk of osteoporosis in menopausal women. Srinagarind Medical Journal. 2016;31(5):320-4. (in Thai).

Roseen EJ, LaValley MP, Li S, Saper RB, Felson DT, Fredman L, et al. Association of back pain with all-cause and cause-specific mortality among older women: a cohort study. J Gen Intern Med. 2019;34(1):90-7. doi: 10.1007/s11606-018-4680-7.

Kanis JA, Oden A, McCloskey EV, Johansson H, Wahl DA, Cooper C. A systematic review of hip fracture incidence and probability of fracture worldwide. Osteoporos Int. 2012;23(9):2239-56. doi: 10.1007/s00198-012-1964-3.

Lim Y, Kim K, Ko S-H, Cho K, Jang E-H, Lee S-H, et al. Gender- and age-group-specific associations between physical performance and bone mineral density, falls, and osteoporotic fractures in Koreans: the Chungju metabolic disease cohort study. J Bone Miner Metab. 2016;34(3):336-46.

Leelertmongkolkul W, Danaidutsadeekul S, Chanruangvanich W, Udomkiat P. The relationship between body mass index, pain, social support and the activity daily living during recovery phase in hip arthroplasty patients. Nursing Science Journal of Thailand. 2013;31(2):26-37. (in Thai).

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. doi: 10.1519/00139143-200831010-00003.

Unlusoy D, Aydog E, Tuncay R, Eryuksel R, Unlusoy İ, Cakci A. Postural balance in women with osteoporosis and effective factors. Turkish Journal of Osteoporosis. 2011;17(2):37-43.

Chao C-T, Yang R-S, Huang W-J, Tsai K-S, Chan D-CD. risk factors for poor functional recovery, mortality, recurrent fractures, and falls among patients participating in a fracture liaison service program. J Am Med Dir Assoc. 2019;20(9):1129-36.e1. doi: 10.1016/j.jamda.2018.12.011.

Wang L, Xu X, Zhang Y, Hao H, Chen L, Su T, et al. A model of health education and management for osteoporosis prevention. Exp Ther Med. 2016;12(6):3797-805. doi: 10.3892/etm.2016.3822.

Sakuma M, Endo N, Oinuma T, Endo E, Yazawa T, Watanabe K, et al. Incidence and outcome of osteoporotic fractures in 2004 in Sado City, Niigata Prefecture, Japan. J Bone Miner Metab. 2008;26(4):373-8. doi: 10.1007/s00774-007-0841-1.

Rojanasthien S. Metabolic bone disease and geriatric fracture [Internet]. Bangkok: Royal College of Orthopaedic Surgeons of Thailand; 2019 [cited 2019 May 29]. Available from: http://rcost.registration-master.com/images/2019/0511_01_MBOG/summary%20MBOG%20Resident%204%20Tutoring.pdf. (in Thai).

Borson S, Scanlan JM, Chen P, Ganguli M. The Mini-Cog as a screen for dementia: validation in a population-based sample. J Am Geriatr Soc. 2003;51(10):1451-4. doi: 10.1046/j.1532-5415.2003.51465.x.

Ailinger RL, Lasus H, Braun MA. Revision of the Facts on Osteoporosis Quiz. Nurs Res. 2003;52(3):198-201. doi: 10.1097/00006199-200305000-00010.

Naegeli A, Nixon A, Burge R, Gold D, Silverman S. Development of the osteoporosis assessment questionnaire--physical function (OPAQ-PF): an osteoporosis-targeted, patient-reported outcomes (PRO) measure of physical function. Osteoporos Int. 2014;25(2):579-88. doi: 10.1007/s00198-013-2448-9.

Yoryuenyong C, Srimoragot P. Factors predicting the recovery of activity of daily living function in patients undergoing lumbar surgery. Journal of The Royal Thai Army Nurses. 2015;16(1):62-9. (in Thai).

Vellucci R, Mediati RD, Ballerini G. Use of opioids for treatment of osteoporotic pain. Clin Cases Miner Bone Metab. 2014;11(3):173-6.

Taepongsorat L. Osteoporosis: epidemiology, causes, diagnosis, treatments. Journal Science Technology Mahasarakham University. 2014;33(5):526-36. (in Thai).

Vincent HK, DeJong G, Mascarenas D, Vincent KR. The effect of body mass index and hip abductor brace use on inpatient rehabilitation outcomes after total hip arthroplasty. Am J Phys Med Rehabil. 2009;88(3):201-9. doi: 10.1097/PHM.0b013e318198b549.