UNLABELLED: Postmenopausal women with a high risk of fractures may not perceive their risk. This study showed no concordance between the perceived and calculated risk of fracture. Almost 80 % of the women identified as a high risk of fracture by the FRAX algorithm tool perceived themselves to have little risk. PURPOSE: This study aimed to assess the concordance between self-perception of osteoporosis and fracture risk and the 10-year risk of fractures calculated by the FRAX algorithm. METHODS: A cross-sectional study was conducted in Santa Maria, RS, Brazil, between March 1 and August 31, 2013. Postmenopausal women over 55 years of age who have had at least one appointment at primary care in the 2 years prior to the enrolment were recruited. We excluded women with cognitive impairment. A standardized questionnaire regarding the perception of personal risk of osteoporosis and fractures was used. We also evaluated previous fractures, family history of fracture, smoking, alcohol consumption, use of glucocorticoids, and secondary causes of osteoporosis. Weight and height of the participants were measured. The risk of fractures of each participant was calculated using the FRAX algorithm (Fracture Risk Assessment Tool). RESULTS: Of the 1301 invited women, 1057 completed the survey. The average (mean [SD]) age and BMI were 67.2 (7.6) years and 29.3 (5.5) kg/m(2), respectively. Only 16.9 and 19.9 % participants believed themselves to be at a high risk of osteoporosis and fractures, respectively. There was no agreement between the perceived risk of fractures and the calculated FRAX risk of fractures. Moreover, almost 79.3 % of the women identified with a high risk of fractures by the FRAX algorithm perceived themselves as having little risk. CONCLUSION: These results show that postmenopausal women underestimate their risk of osteoporotic fractures when compared with their 10-year fracture risk according to FRAX algorithm.
UNLABELLED: Postmenopausal women with a high risk of fractures may not perceive their risk. This study showed no concordance between the perceived and calculated risk of fracture. Almost 80 % of the women identified as a high risk of fracture by the FRAX algorithm tool perceived themselves to have little risk. PURPOSE: This study aimed to assess the concordance between self-perception of osteoporosis and fracture risk and the 10-year risk of fractures calculated by the FRAX algorithm. METHODS: A cross-sectional study was conducted in Santa Maria, RS, Brazil, between March 1 and August 31, 2013. Postmenopausal women over 55 years of age who have had at least one appointment at primary care in the 2 years prior to the enrolment were recruited. We excluded women with cognitive impairment. A standardized questionnaire regarding the perception of personal risk of osteoporosis and fractures was used. We also evaluated previous fractures, family history of fracture, smoking, alcohol consumption, use of glucocorticoids, and secondary causes of osteoporosis. Weight and height of the participants were measured. The risk of fractures of each participant was calculated using the FRAX algorithm (Fracture Risk Assessment Tool). RESULTS: Of the 1301 invited women, 1057 completed the survey. The average (mean [SD]) age and BMI were 67.2 (7.6) years and 29.3 (5.5) kg/m(2), respectively. Only 16.9 and 19.9 % participants believed themselves to be at a high risk of osteoporosis and fractures, respectively. There was no agreement between the perceived risk of fractures and the calculated FRAX risk of fractures. Moreover, almost 79.3 % of the women identified with a high risk of fractures by the FRAX algorithm perceived themselves as having little risk. CONCLUSION: These results show that postmenopausal women underestimate their risk of osteoporotic fractures when compared with their 10-year fracture risk according to FRAX algorithm.
Authors: Maria Radeva; Dorothee Predel; Sven Winzler; Ulf Teichgräber; Alexander Pfeil; Ansgar Malich; Ismini Papageorgiou Journal: Int J Environ Res Public Health Date: 2021-01-28 Impact factor: 3.390
Authors: Stefan Zechmann; Nathalie Scherz; Oliver Reich; Beat Brüngger; Oliver Senn; Thomas Rosemann; Stefan Neuner-Jehle Journal: BMC Public Health Date: 2018-04-02 Impact factor: 3.295