Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mealing, Nicole M, Banks, Emily, Jorm, Louisa R, Steel, David G, Clements, Mark S, Rogers, Kris D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2868856/
https://www.ncbi.nlm.nih.gov/pubmed/20356408
http://dx.doi.org/10.1186/1471-2288-10-26
_version_ 1782181076452507648
author Mealing, Nicole M
Banks, Emily
Jorm, Louisa R
Steel, David G
Clements, Mark S
Rogers, Kris D
author_facet Mealing, Nicole M
Banks, Emily
Jorm, Louisa R
Steel, David G
Clements, Mark S
Rogers, Kris D
author_sort Mealing, Nicole M
collection PubMed
description 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.
format Text
id pubmed-2868856
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-28688562010-05-13 Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs Mealing, Nicole M Banks, Emily Jorm, Louisa R Steel, David G Clements, Mark S Rogers, Kris D BMC Med Res Methodol Research Article 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. BioMed Central 2010-04-01 /pmc/articles/PMC2868856/ /pubmed/20356408 http://dx.doi.org/10.1186/1471-2288-10-26 Text en Copyright ©2010 Mealing et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mealing, Nicole M
Banks, Emily
Jorm, Louisa R
Steel, David G
Clements, Mark S
Rogers, Kris D
Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
title Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
title_full Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
title_fullStr Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
title_full_unstemmed Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
title_short Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
title_sort investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2868856/
https://www.ncbi.nlm.nih.gov/pubmed/20356408
http://dx.doi.org/10.1186/1471-2288-10-26
work_keys_str_mv AT mealingnicolem investigationofrelativeriskestimatesfromstudiesofthesamepopulationwithcontrastingresponseratesanddesigns
AT banksemily investigationofrelativeriskestimatesfromstudiesofthesamepopulationwithcontrastingresponseratesanddesigns
AT jormlouisar investigationofrelativeriskestimatesfromstudiesofthesamepopulationwithcontrastingresponseratesanddesigns
AT steeldavidg investigationofrelativeriskestimatesfromstudiesofthesamepopulationwithcontrastingresponseratesanddesigns
AT clementsmarks investigationofrelativeriskestimatesfromstudiesofthesamepopulationwithcontrastingresponseratesanddesigns
AT rogerskrisd investigationofrelativeriskestimatesfromstudiesofthesamepopulationwithcontrastingresponseratesanddesigns