Fracture risk assessment in postmenopausal elderly women of an urban area using fracture prediction tools: A cross-sectional study

• Published in: Journal of Marine Medical Society Vol. 22; no. 1; pp. 25 - 29
• Main Authors: Mittal, Gaurav, Iqbal, Mohammed, Sharma, Yogesh, Prasad, Manish, Lamba, Nishant
• Format: Journal Article
• Language: English
• Published: Wolters Kluwer - Medknow Publications 01.01.2020; Medknow Publications and Media Pvt. Ltd; Wolters Kluwer Medknow Publications
• Subjects: Demographic aspects; Elderly women; fracture; Fractures (Injuries); Health aspects; osteoporosis; postmenopausal women; risk; Risk factors; Urban health; India; Fracture; risk; postmenopausal women; osteoporosis
• DOI: 10.4103/jmms.jmms_54_19
• ISSN: 0975-3605

Context: Osteoporosis is a commonplace metabolic disorder affecting millions of women worldwide. This study highlights the prevalence of various risk factors associated with the development of osteoporosis in postmenopausal women in the Indian population and the determination of risk of fractures in the same using questionnaire-based tools. Aims: The aim of the study is to estimate the prevalence of risk factors for fractures and determine the 10-year probability of developing major osteoporotic fracture and major hip fractures using QFracture score and Garvan Fracture risk calculator in postmenopausal women. Settings and Design: This was a cross-sectional analytical study. Subjects and Methods: A total of 384 patients were evaluated to estimate the prevalence of risk factors for fractures and the 10-year probability of developing major osteoporotic fracture and major hip fractures along with comparison of clinical risk factors between patients with history of prior falls and patients without history of prior falls using the QFracture score and Garvan Fracture risk calculator. Statistical Analysis Used: Mann-Whitney U-test for estimating the overall 10-year risk of developing major osteoporotic and hip fractures using the two scoring systems. Results: The age range of our study population was 50-86 years, while the mean age was 59.86 ± 8.86 years. The most prevalent risk factor for osteoporotic fractures in our study was diabetes mellitus (n = 98 [25.5%]), and the least prevalent risk factor was chronic kidney disease (n = 4 [1.04%]). We also estimated the overall 10-year risk of developing major osteoporotic and hip fractures in two groups: Group 1 (with a history of falls) and Group 2 (without any history of falls). Conclusion: QFracture score and Garvan tool are easily administrable, internationally validated questionnaires which provide definitive information related to risk factors for development of osteoporosis.