Literature DB >> 27714430

Factors associated with the accuracy of self-reported osteoporosis in the community.

Tina D Cunningham1, Sarah C DeShields2.   

Abstract

We examined the agreement between self-reported osteoporosis and bone mineral density (BMD) results through dual-energy x-ray absorptiometry (DXA) using data from a national representative sample taken from the US communities. Six-year data from the continuous National Health and Nutrition Examination Survey 2005-2006, 2007-2008, and 2009-2010 were merged. Participants included adults 50 years of age or older whose data appeared in both questionnaire and medical examination data files. Self-reported osteoporosis was defined by an affirmative response to a question in the osteoporosis questionnaire then compared with BMD-defined osteoporosis, defined by BMD values taken from the examination data. Agreement between self-reported osteoporosis and DXA results were low. Kappa was only 0.24 (95 % confidence interval = 0.21-0.27), and sensitivity and positive predictive value were 28.0 and 40.8 %, respectively. When stratified by gender or age group, agreement remained poor. Self-report of osteoporosis would not be suitable for accurate prevalence estimates for osteoporosis regardless of gender or age group.

Entities:  

Keywords:  Agreement; Bone density; Community survey; Osteoporosis; Sensitivity and specificity

Mesh:

Year:  2016        PMID: 27714430     DOI: 10.1007/s00296-016-3573-5

Source DB:  PubMed          Journal:  Rheumatol Int        ISSN: 0172-8172            Impact factor:   2.631


  22 in total

1.  Bisphosphonates and glucocorticoid osteoporosis in men: results of a randomized controlled trial comparing zoledronic acid with risedronate.

Authors:  Philip N Sambrook; Christian Roux; Jean-Pierre Devogelaer; Kenneth Saag; Chak-Sing Lau; Jean-Yves Reginster; Christina Bucci-Rechtweg; Guoqin Su; David M Reid
Journal:  Bone       Date:  2011-10-29       Impact factor: 4.398

2.  Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure.

Authors:  Yuji Okura; Lynn H Urban; Douglas W Mahoney; Steven J Jacobsen; Richard J Rodeheffer
Journal:  J Clin Epidemiol       Date:  2004-10       Impact factor: 6.437

3.  The importance of assessing the fit of logistic regression models: a case study.

Authors:  D W Hosmer; S Taber; S Lemeshow
Journal:  Am J Public Health       Date:  1991-12       Impact factor: 9.308

4.  Lumbar spine and proximal femur bone mineral density, bone mineral content, and bone area: United States, 2005-2008.

Authors:  Anne C Looker; Lori G Borrud; Jeffery P Hughes; Bo Fan; John A Shepherd; L Joseph Melton
Journal:  Vital Health Stat 11       Date:  2012-03

5.  Osteoporosis and vertebral fractures in men aged 60-74 years.

Authors:  Morten Frost; Kristian Wraae; Bo Abrahamsen; Mikkel Høiberg; Claus Hagen; Marianne Andersen; Kim Brixen
Journal:  Age Ageing       Date:  2012-01-09       Impact factor: 10.668

6.  The recent prevalence of osteoporosis and low bone mass in the United States based on bone mineral density at the femoral neck or lumbar spine.

Authors:  Nicole C Wright; Anne C Looker; Kenneth G Saag; Jeffrey R Curtis; Elizabeth S Delzell; Susan Randall; Bess Dawson-Hughes
Journal:  J Bone Miner Res       Date:  2014-11       Impact factor: 6.741

Review 7.  Osteoporosis epidemiology 2013: implications for diagnosis, risk assessment, and treatment.

Authors:  William D Leslie; Suzanne N Morin
Journal:  Curr Opin Rheumatol       Date:  2014-07       Impact factor: 5.006

8.  Clinician's Guide to Prevention and Treatment of Osteoporosis.

Authors:  F Cosman; S J de Beur; M S LeBoff; E M Lewiecki; B Tanner; S Randall; R Lindsay
Journal:  Osteoporos Int       Date:  2014-08-15       Impact factor: 4.507

Review 9.  Treatment of osteoporosis in men.

Authors:  J-M Kaufman; J-Y Reginster; S Boonen; M L Brandi; C Cooper; W Dere; J-P Devogelaer; A Diez-Perez; J A Kanis; E McCloskey; B Mitlak; E Orwoll; J D Ringe; G Weryha; R Rizzoli
Journal:  Bone       Date:  2012-11-28       Impact factor: 4.398

10.  Osteoporosis in the community: Sensitivity of self-reported estimates and medication use of those diagnosed with the condition.

Authors:  T K Gill; A W Taylor; C L Hill; P J Phillips
Journal:  Bone Joint Res       Date:  2012-05-01       Impact factor: 5.853

View more
  2 in total

1.  Comparison of osteoporosis in US adults with type 1 and type 2 diabetes mellitus.

Authors:  S C DeShields; T D Cunningham
Journal:  J Endocrinol Invest       Date:  2018-01-20       Impact factor: 4.256

2.  An update of the prevalence of osteoporosis, fracture risk factors, and medication use among community-dwelling older adults: results from the Canadian Longitudinal Study on Aging (CLSA).

Authors:  Caitlin McArthur; Ahreum Lee; Hajar Abu Alrob; Jonathan D Adachi; Lora Giangregorio; Lauren E Griffith; Suzanne Morin; Lehana Thabane; George Ioannidis; Justin Lee; William D Leslie; Alexandra Papaioannou
Journal:  Arch Osteoporos       Date:  2022-02-04       Impact factor: 2.617

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.