Literature DB >> 8800782

Differences in the characteristics of responders and non-responders in a prevalence survey of vertebral osteoporosis. European Vertebral Osteoporosis Study Group.

T W O'Neill1, D Marsden, A J Silman.   

Abstract

Men and women aged 50 years and over were recruited for participation in a population-based prevalence survey of vertebral osteoporosis from 36 centres in 19 European countries. All subjects were invited to attend by letter of invitation for a "lifestyle" interview and lateral spinal radiograph. The aim of this analysis was to investigate how far those who agreed to attend were representative of the target population and thus whether any important level of non-response bias existed. To address this a second invitation was sent to all non-responders and, in 20 centres, a sample of ultimate non-responders was contacted by mail, telephone or home visit and given a shortened version of the lifestyle questionnaire. Compared with the sample of non-responders, responders might be considered less at risk from osteoporosis in that as a group they took more exercise and were less likely to be current smokers. Other factors suggested the contrary in that they consumed less calcium and were more likely to have suffered a previous fracture. Amongst responders, these factors appeared also to be related to the timing of response. Thus compared with delayed responders, those who participated after a first letter of invitation took more exercise, were less likely to be smokers and more likely to have suffered a previous fracture. However, in contrast to the results suggested by the non-response survey early responders consumed more calcium than late responders. The magnitude of the differences between responders and non-responders was small (less than 10% for most of the categorical variables) and the differences were not consistently in the direction of an increased or decreased risk of osteoporosis. Additionally the size or direction of these differences was not consistently influenced by the response rate based on classifying centres into those with a high, medium or low response rate. This suggests that in this multicentre study response bias probably does not have a major influence on the prevalence estimates of vertebral fracture. In epidemiological studies of osteoporosis comparison of the lifestyle differences between early and late responders provides useful information concerning response characteristics.

Entities:  

Mesh:

Year:  1995        PMID: 8800782     DOI: 10.1007/bf01622254

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  27 in total

1.  Vertebral fractures.

Authors:  C Cooper; L J Melton
Journal:  BMJ       Date:  1992-03-28

2.  A comparison between participants and non-participants in a primary preventive trial.

Authors:  L Wilhelmsen; S Ljungberg; H Wedel; L Werkö
Journal:  J Chronic Dis       Date:  1976-05

3.  Osteoporosis of the slender smoker. Vertebral compression fractures and loss of metacarpal cortex in relation to postmenopausal cigarette smoking and lack of obesity.

Authors:  H W Daniell
Journal:  Arch Intern Med       Date:  1976-03

4.  Response bias and risk ratios in epidemiologic studies.

Authors:  M H Criqui
Journal:  Am J Epidemiol       Date:  1979-04       Impact factor: 4.897

5.  Characteristics of respondents and nonrespondents to a questionnaire for estimating community mood.

Authors:  G W Comstock; K J Helsing
Journal:  Am J Epidemiol       Date:  1973-04       Impact factor: 4.897

Review 6.  Epidemiology of osteoporosis and osteoporotic fractures.

Authors:  S R Cummings; J L Kelsey; M C Nevitt; K J O'Dowd
Journal:  Epidemiol Rev       Date:  1985       Impact factor: 6.222

7.  Differences between respondents and non-respondents in a population-based cardiovascular disease study.

Authors:  M H Criqui; E Barrett-Connor; M Austin
Journal:  Am J Epidemiol       Date:  1978-11       Impact factor: 4.897

8.  Identification of alcohol abuse: thoracic fractures on routine chest X-rays as indicators of alcoholism.

Authors:  Y Israel; H Orrego; S Holt; D W Macdonald; H E Meema
Journal:  Alcohol Clin Exp Res       Date:  1980-10       Impact factor: 3.455

9.  Characteristics of respondents and nonrespondents in a prospective study of osteoporosis.

Authors:  L K Heilbrun; P D Ross; R D Wasnich; K Yano; J M Vogel
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

10.  Prevalence of vertebral fracture in women and the relationship with bone density and symptoms: the Chingford Study.

Authors:  T D Spector; E V McCloskey; D V Doyle; J A Kanis
Journal:  J Bone Miner Res       Date:  1993-07       Impact factor: 6.741

View more
  23 in total

1.  A population comparison of participants and nonparticipants in a health survey.

Authors:  R C Klesges; J E Williamson; G W Somes; G W Talcott; H A Lando; C K Haddock
Journal:  Am J Public Health       Date:  1999-08       Impact factor: 9.308

2.  Subgroups of refusers in a disability prevention trial in older adults: baseline and follow-up analysis.

Authors:  Christoph E Minder; Tobias Müller; Gerhard Gillmann; John C Beck; Andreas E Stuck
Journal:  Am J Public Health       Date:  2002-03       Impact factor: 9.308

3.  Bone densitometry is not a good predictor of hip fracture.

Authors:  T J Wilkin; D Devendra
Journal:  BMJ       Date:  2001-10-06

4.  Assessing non-response to a mailed health survey including self-collection of biological material.

Authors:  Anneli Uusküla; Mart Kals; Louise-Anne McNutt
Journal:  Eur J Public Health       Date:  2010-05-10       Impact factor: 3.367

5.  Validation of a home safety questionnaire used in a randomised controlled trial.

Authors:  M Watson; D Kendrick; C Coupland
Journal:  Inj Prev       Date:  2003-06       Impact factor: 2.399

6.  Response rates and response bias for 50 surveys of pediatricians.

Authors:  William L Cull; Karen G O'Connor; Sanford Sharp; Suk-fong S Tang
Journal:  Health Serv Res       Date:  2005-02       Impact factor: 3.402

7.  Epidemiology of Osteoporotic Fractures in Europe: towards biologic mechanisms. The European Prospective Osteoporosis Study Group.

Authors:  J Reeve; A Silman
Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

8.  Differences in the characteristics of responders and non-responders in a prevalence survey of vertebral osteoporosis.

Authors:  L J Melton; W M O'Fallon; B L Riggs
Journal:  Osteoporos Int       Date:  1996       Impact factor: 4.507

9.  Influence of hormonal and reproductive factors on the risk of vertebral deformity in European women. European Vertebral Osteoporosis Study Group.

Authors:  T W O'Neill; A J Silman; M Naves Diaz; C Cooper; J Kanis; D Felsenberg
Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

10.  Risk factors for Colles' fracture in men and women: results from the European Prospective Osteoporosis Study.

Authors:  A J Silman
Journal:  Osteoporos Int       Date:  2003-04-10       Impact factor: 4.507

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.