Literature DB >> 16504279

Correlates of mammography in a national analysis compared to results in quintile- and regionally-defined samples.

William Rakowski1, Rachael Truchil, Karen Schneider, Stephen Meersman, Melissa A Clark.   

Abstract

BACKGROUND: National-level data are often used to identify groups of women at greater risk of not obtaining mammography, who might then receive targeted interventions. An important question, however, is how well results of national-level analyses match results from smaller samples of the same dataset. This study investigated the consistency of results about correlates of mammography from a single national-level analysis versus the results from analyses within each of five quintiles of mammography rates and nine Census subdivisions.
METHODS: The sample for all analyses were women aged 42-79 from the Year 2002 United States' Behavioral Risk Factor Surveillance System (N = 80,283). Recent mammography was defined as self-report of a mammogram within the 2 years prior to the interview. Independent variables included sociodemographics, health practices, and a combined insurance status/usual source of care variable.
RESULTS: Only smoking status, Pap testing, dental visit, and health insurance/source of care had consistent results with mammography status across all levels of analysis. Results for the other covariates, including standard sociodemographics, showed varying degrees of consistency.
CONCLUSIONS: Caution is advised when using national data to inform regional or local intervention planning. Local and regional data are necessary to target programs to groups at greatest need for intervention.

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Year:  2006        PMID: 16504279     DOI: 10.1016/j.ypmed.2006.01.016

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  3 in total

1.  Prevalence and correlates of recent and repeat mammography among California women ages 55-79.

Authors:  William Rakowski; Roberta Wyn; Nancy Breen; Helen Meissner; Melissa A Clark
Journal:  Cancer Epidemiol       Date:  2010-03-19       Impact factor: 2.984

2.  Using small-area estimation to describe county-level disparities in mammography.

Authors:  Karen L Schneider; Kate L Lapane; Melissa A Clark; William Rakowski
Journal:  Prev Chronic Dis       Date:  2009-09-15       Impact factor: 2.830

3.  Assessing and Explaining Geographic Variations in Mammography Screening Participation and Breast Cancer Incidence.

Authors:  Jonas Czwikla; Iris Urbschat; Joachim Kieschke; Frank Schüssler; Ingo Langner; Falk Hoffmann
Journal:  Front Oncol       Date:  2019-09-18       Impact factor: 6.244

  3 in total

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