Literature DB >> 1999682

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

L K Heilbrun1, P D Ross, R D Wasnich, K Yano, J M Vogel.   

Abstract

During 1981-1982, a cohort of elderly Japanese Americans living in Hawaii was recruited for an epidemiologic study of osteoporosis. The male subjects were simultaneously being examined for an epidemiologic study of heart disease. Baseline data collected from both the men and women at a previous heart disease examination were used to compare responders vs nonresponders. The target population for the osteoporosis study consisted of 1685 men and 1594 women. Of these, 1379 men (81.8%) and 1105 women (72.0%) participated in the initial osteoporosis examination. For each sex, nonrespondents were older and had higher systolic blood pressure levels than did the respondents. Male nonresponders had a higher stroke prevalence and more frequent recent use of vasodilator medicine. Female nonresponders had a less frequent history of having ever taken female hormones than did the responders. The responders and nonresponders were reasonably similar in other respects, as indicated by the comparison of more than 40 other variables. This suggests that nonresponse bias is probably not a major influence in exposure-disease associations in this osteoporosis cohort. We believe this is the first published report dealing with nonresponse characteristics in a cohort study of osteoporosis.

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Year:  1991        PMID: 1999682     DOI: 10.1016/0895-4356(91)90034-7

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  21 in total

1.  Epidemiology of osteoporosis in the United States of America.

Authors:  R D Wasnich
Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

2.  [European Study of Vertebral Osteoporosis (EVOS): cooperation of participants and selection bias in Germany].

Authors:  C Matthis; C Schlaich; C Scheidt-Nave; A Raspe; H Raspe
Journal:  Med Klin (Munich)       Date:  1998-03-15

3.  A demonstration of the impact of response bias on the results of patient satisfaction surveys.

Authors:  Kathleen M Mazor; Brian E Clauser; Terry Field; Robert A Yood; Jerry H Gurwitz
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

4.  Population screening for low bone mineral density: do non-attenders have a lower risk of osteoporosis?

Authors:  D J Torgerson; C Donaldson; M J Garton; I T Russell; M Westland; D M Reid
Journal:  Osteoporos Int       Date:  1994-05       Impact factor: 4.507

Review 5.  Background for studies on the treatment of male osteoporosis: state of the art.

Authors:  J M Kaufman; O Johnell; E Abadie; S Adami; M Audran; B Avouac; W B Sedrine; G Calvo; J P Devogelaer; V Fuchs; G Kreutz; P Nilsson; H Pols; J Ringe; L Van Haelst; J Y Reginster
Journal:  Ann Rheum Dis       Date:  2000-10       Impact factor: 19.103

6.  Relationships between respiratory symptoms and FEV1 in men and women with normal lung function: The Korean Health and Genome Study.

Authors:  Chol Shin; Sungim Lee; Robert D Abbott; Je Hyeong Kim; Sang Yeub Lee; Kwang Ho In; KuChan Kimm
Journal:  Lung       Date:  2005 Sep-Oct       Impact factor: 2.584

7.  Screening for Barrett's esophagus: results from a population-based survey.

Authors:  Milli Gupta; Timothy J Beebe; Kelly T Dunagan; Cathy D Schleck; Alan R Zinsmeister; Nicholas J Talley; G Richard Locke; Prasad G Iyer
Journal:  Dig Dis Sci       Date:  2014-03-21       Impact factor: 3.199

8.  Risk factor effects and total mortality in older Japanese men in Japan and Hawaii.

Authors:  Robert D Abbott; Hirotsugu Ueshima; Atsushi Hozawa; Tomonori Okamura; Takashi Kadowaki; Katsuyuki Miura; Nagako Okuda; Yasuyuki Nakamura; Akira Okayama; Yoshikuni Kita; Beatriz L Rodriguez; Katsuhiko Yano; J David Curb
Journal:  Ann Epidemiol       Date:  2008-12       Impact factor: 3.797

9.  When should bone density measurements be repeated?

Authors:  Y F He; P D Ross; J W Davis; R S Epstein; J M Vogel; R D Wasnich
Journal:  Calcif Tissue Int       Date:  1994-10       Impact factor: 4.333

10.  Participation bias and its impact on the assembly of a genetic specimen repository for a myocardial infarction cohort.

Authors:  Adelaide M Arruda-Olson; Susan A Weston; Brooke L Fridley; Jill M Killian; Ellen E Koepsell; Véronique L Roger
Journal:  Mayo Clin Proc       Date:  2007-10       Impact factor: 7.616

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