Literature DB >> 33525339

Reliability of a Risk-Factor Questionnaire for Osteoporosis: A Primary Care Survey Study with Dual Energy X-ray Absorptiometry Ground Truth.

Maria Radeva1, Dorothee Predel2, Sven Winzler2, Ulf Teichgräber1, Alexander Pfeil3, Ansgar Malich2, Ismini Papageorgiou1,2.   

Abstract

(1) Purpose: Predisposing factors to osteoporosis (OP) as well as dual-source x-ray densitometry (DXA) steer therapeutic decisions by determining the FRAX index. This study examines the reliability of a standard risk factor questionnaire in OP-screening. (2)
Methods: n = 553 eligible questionnaires encompassed 24 OP-predisposing factors. Reliability was assessed using DXA as a gold standard. Multiple logistic regression and Spearman's correlations, as well as the confounding influence of age and body mass index, were analyzed in SPSS (IBM Corporation, Armonk, NY, USA). (3)
Results: Our study revealed low patient self-awareness regarding OP and its risk factors. One out of every four patients reported a positive history for osteoporosis not confirmed by DXA. The extraordinarily high incidence of rheumatoid arthritis and thyroid disorders likely reflect confusion with other diseases or health anxiety. FRAX-determining risk factors such as malnutrition, liver insufficiency, prior fracture without trauma, and glucocorticoid therapy did not correlate with increased OP incidence, altogether demonstrating how inaccurate survey information could influence therapeutic decisions on osteoporosis. (4) Conclusions: Contradictive results and a low level of patient self-awareness suggest a high degree of uncertainty and low reliability of the current OP risk factor survey.

Entities:  

Keywords:  FRAX; bias; osteoporosis; patient management; self-awareness; survey

Year:  2021        PMID: 33525339      PMCID: PMC7908374          DOI: 10.3390/ijerph18031136

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  51 in total

1.  G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.

Authors:  Franz Faul; Edgar Erdfelder; Albert-Georg Lang; Axel Buchner
Journal:  Behav Res Methods       Date:  2007-05

Review 2.  Prevention and treatment of postmenopausal osteoporosis.

Authors:  Sri Harsha Tella; J Christopher Gallagher
Journal:  J Steroid Biochem Mol Biol       Date:  2013-10-29       Impact factor: 4.292

3.  Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: synopsis of a WHO report. WHO Study Group.

Authors:  J A Kanis
Journal:  Osteoporos Int       Date:  1994-11       Impact factor: 4.507

4.  FRAX(®) Clinical Task Force of the 2010 Joint International Society for Clinical Densitometry & International Osteoporosis Foundation Position Development Conference.

Authors:  Eugene V McCloskey; Neil Binkley
Journal:  J Clin Densitom       Date:  2011 Jul-Sep       Impact factor: 2.617

Review 5.  Advances in bone imaging for osteoporosis.

Authors:  Judith E Adams
Journal:  Nat Rev Endocrinol       Date:  2013-01       Impact factor: 43.330

6.  Comparison of questionnaire and quantitative ultrasound techniques as screening tools for DXA.

Authors:  R B Cook; D Collins; J Tucker; P Zioupos
Journal:  Osteoporos Int       Date:  2005-05-10       Impact factor: 4.507

7.  A model of osteoporosis impact in Switzerland 2000-2020.

Authors:  Matthias Schwenkglenks; Kurt Lippuner; Hans Jörg Häuselmann; Thomas D Szucs
Journal:  Osteoporos Int       Date:  2004-10-26       Impact factor: 4.507

8.  Projection of osteoporosis-related fractures and costs in China: 2010-2050.

Authors:  L Si; T M Winzenberg; Q Jiang; M Chen; A J Palmer
Journal:  Osteoporos Int       Date:  2015-03-12       Impact factor: 4.507

9.  A meta-analysis of previous fracture and subsequent fracture risk.

Authors:  J A Kanis; O Johnell; C De Laet; H Johansson; A Oden; P Delmas; J Eisman; S Fujiwara; P Garnero; H Kroger; E V McCloskey; D Mellstrom; L J Melton; H Pols; J Reeve; A Silman; A Tenenhouse
Journal:  Bone       Date:  2004-08       Impact factor: 4.398

10.  A family history of fracture and fracture risk: a meta-analysis.

Authors:  J A Kanis; H Johansson; A Oden; O Johnell; C De Laet; J A Eisman; E V McCloskey; D Mellstrom; L J Melton; H A P Pols; J Reeve; A J Silman; A Tenenhouse
Journal:  Bone       Date:  2004-11       Impact factor: 4.398

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  1 in total

1.  Genetic association between bone mineral density and the fracture of distal radius: A case-control study.

Authors:  Hongliang Li; Mingyun Fu; Junqing Gao; Jile Fu; Tuming Li; Guoqing Niu
Journal:  Medicine (Baltimore)       Date:  2021-09-10       Impact factor: 1.817

  1 in total

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