Email updates

Keep up to date with the latest news and content from BMC Medical Research Methodology and BioMed Central.

Open Access Research article

Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs

Nicole M Mealing12*, Emily Banks13, Louisa R Jorm12, David G Steel4, Mark S Clements2 and Kris D Rogers1

Author Affiliations

1 The Sax Institute, P.O. Box 123, Broadway NSW 2007, Australia

2 School of Medicine, University of Western Sydney, Campbelltown Campus, Locked Bag 1797, Penrith South DC NSW 1797, Australia

3 National Centre for Epidemiology and Population Health, Australian National University, ACT 0200, Australia

4 Centre for Statistical and Survey Methodology, University of Wollongong, Northfields Avenue, North Wollongong NSW 2522, Australia

For all author emails, please log on.

BMC Medical Research Methodology 2010, 10:26  doi:10.1186/1471-2288-10-26

Published: 1 April 2010

Abstract

Background

There is little empirical evidence regarding the generalisability of relative risk estimates from studies which have relatively low response rates or are of limited representativeness. The aim of this study was to investigate variation in exposure-outcome relationships in studies of the same population with different response rates and designs by comparing estimates from the 45 and Up Study, a population-based cohort study (self-administered postal questionnaire, response rate 18%), and the New South Wales Population Health Survey (PHS) (computer-assisted telephone interview, response rate ~60%).

Methods

Logistic regression analysis of questionnaire data from 45 and Up Study participants (n = 101,812) and 2006/2007 PHS participants (n = 14,796) was used to calculate prevalence estimates and odds ratios (ORs) for comparable variables, adjusting for age, sex and remoteness. ORs were compared using Wald tests modelling each study separately, with and without sampling weights.

Results

Prevalence of some outcomes (smoking, private health insurance, diabetes, hypertension, asthma) varied between the two studies. For highly comparable questionnaire items, exposure-outcome relationship patterns were almost identical between the studies and ORs for eight of the ten relationships examined did not differ significantly. For questionnaire items that were only moderately comparable, the nature of the observed relationships did not differ materially between the two studies, although many ORs differed significantly.

Conclusions

These findings show that for a broad range of risk factors, two studies of the same population with varying response rate, sampling frame and mode of questionnaire administration yielded consistent estimates of exposure-outcome relationships. However, ORs varied between the studies where they did not use identical questionnaire items.