Literature DB >> 12244037

Assessment of digit preference in self-reported year at menopause: choice of an appropriate reference distribution.

Sybil L Crawford1, Catherine B Johannes, Rebecca K Stellato.   

Abstract

Estimated associations between self-reported age at menopause and health may be attenuated if self-report is inaccurate. In a cross-sectional study, it is not possible to assess validity or reproducibility. Instead, one can examine digit preference, e.g., overreporting of numbers ending in zero or five. Typically, analyses use equal proportions-10% probability for each digit-as the reference distribution. Depending on the age distribution of the sample and on the underlying distribution of age at the event, however, an alternative reference distribution may be more appropriate. As an illustration, the authors examined digit preference in the self-reported calendar year at the final menstrual period in cross-sectional data from 2,151 naturally postmenopausal women in the Study of Women's Health Across the Nation (1995-1997), a multisite, multiethnic study of women aged 40-55 years. With chi-square tests, the distribution of terminal digit for self-reported year at the final menstrual period was compared with several reference distributions. The observed distribution was much closer to a reference distribution based on previously published data than it was to equal proportions. Future assessments of digit preference in cross-sectional studies should consider alternatives to equal proportions, particularly for samples with small age ranges and events with a restricted underlying age distribution.

Entities:  

Mesh:

Year:  2002        PMID: 12244037     DOI: 10.1093/aje/kwf059

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  7 in total

1.  Adjusting for subgroup differences in extreme response tendency in ratings of health care: impact on disparity estimates.

Authors:  Marc N Elliott; Amelia M Haviland; David E Kanouse; Katrin Hambarsoomian; Ron D Hays
Journal:  Health Serv Res       Date:  2008-11-24       Impact factor: 3.402

2.  How many cigarettes did you smoke? Assessing cigarette consumption by global report, Time-Line Follow-Back, and ecological momentary assessment.

Authors:  Saul Shiffman
Journal:  Health Psychol       Date:  2009-09       Impact factor: 4.267

3.  Modeling heaping in self-reported cigarette counts.

Authors:  Hao Wang; Daniel F Heitjan
Journal:  Stat Med       Date:  2008-08-30       Impact factor: 2.373

4.  Effects of different manual periodontal probes on periodontal measurements.

Authors:  Birte Holtfreter; Dietrich Alte; Christian Schwahn; Moïse Desvarieux; Thomas Kocher
Journal:  J Clin Periodontol       Date:  2012-08-26       Impact factor: 8.728

5.  Comparison of age at natural menopause in BRCA1/2 mutation carriers with a non-clinic-based sample of women in northern California.

Authors:  Wayne T Lin; Mary Beattie; Lee-May Chen; Kutluk Oktay; Sybil L Crawford; Ellen B Gold; Marcelle Cedars; Mitchell Rosen
Journal:  Cancer       Date:  2013-01-29       Impact factor: 6.860

6.  Quality of age data in the Sierra Leone Ebola database.

Authors:  Lindsay Shively Womack; Charles Alpren; Frederick Martineau; Amara Jambai; Tushar Singh; Reinhard Kaiser; John Terrell Redd
Journal:  Pan Afr Med J       Date:  2020-04-07

7.  A Study of Reverse Causation: Examining the Associations of Perfluorooctanoic Acid Serum Levels with Two Outcomes.

Authors:  Radhika Dhingra; Andrea Winquist; Lyndsey A Darrow; Mitchel Klein; Kyle Steenland
Journal:  Environ Health Perspect       Date:  2016-08-16       Impact factor: 9.031

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.