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Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey
BACKGROUND: Measuring and monitoring the true prevalence of risk factors for chronic conditions is essential for evidence-based policy and health service planning. Understanding the prevalence of risk factors for cardiovascular disease (CVD) in Australia relies heavily on self-report measures from s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971705/ https://www.ncbi.nlm.nih.gov/pubmed/27484257 http://dx.doi.org/10.1186/s12889-016-3389-y |
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author | Peterson, Karen Louise Jacobs, Jane Philippa Allender, Steven Alston, Laura Veronica Nichols, Melanie |
author_facet | Peterson, Karen Louise Jacobs, Jane Philippa Allender, Steven Alston, Laura Veronica Nichols, Melanie |
author_sort | Peterson, Karen Louise |
collection | PubMed |
description | BACKGROUND: Measuring and monitoring the true prevalence of risk factors for chronic conditions is essential for evidence-based policy and health service planning. Understanding the prevalence of risk factors for cardiovascular disease (CVD) in Australia relies heavily on self-report measures from surveys, such as the triennial National Health Survey. However, international evidence suggests that self-reported data may substantially underestimate actual risk factor prevalence. This study sought to characterise the extent of misreporting in a large, nationally-representative health survey that included objective measures of clinical risk factors for CVD. METHODS: This study employed a cross-sectional analysis of 7269 adults aged 18 years and over who provided fasting blood samples as part of the 2011–12 Australian Health Survey. Self-reported prevalence of high blood pressure, high cholesterol and diabetes was compared to measured prevalence, and univariate and multivariate logistic regression analyses identified socio-demographic characteristics associated with underreporting for each risk factor. RESULTS: Approximately 16 % of the total sample underreported high blood pressure (measured to be at high risk but didn’t report a diagnosis), 33 % underreported high cholesterol, and 1.3 % underreported diabetes. Among those measured to be at high risk, 68 % did not report a diagnosis for high blood pressure, nor did 89 % of people with high cholesterol and 29 % of people with high fasting plasma glucose. Younger age was associated with underreporting high blood pressure and high cholesterol, while lower area-level disadvantage and higher income were associated with underreporting diabetes. CONCLUSIONS: Underreporting has important implications for CVD risk factor surveillance, policy planning and decisions, and clinical best-practice guidelines. This analysis highlights concerns about the reach of primary prevention efforts in certain groups and implications for patients who may be unaware of their disease risk status. |
format | Online Article Text |
id | pubmed-4971705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49717052016-08-04 Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey Peterson, Karen Louise Jacobs, Jane Philippa Allender, Steven Alston, Laura Veronica Nichols, Melanie BMC Public Health Research Article BACKGROUND: Measuring and monitoring the true prevalence of risk factors for chronic conditions is essential for evidence-based policy and health service planning. Understanding the prevalence of risk factors for cardiovascular disease (CVD) in Australia relies heavily on self-report measures from surveys, such as the triennial National Health Survey. However, international evidence suggests that self-reported data may substantially underestimate actual risk factor prevalence. This study sought to characterise the extent of misreporting in a large, nationally-representative health survey that included objective measures of clinical risk factors for CVD. METHODS: This study employed a cross-sectional analysis of 7269 adults aged 18 years and over who provided fasting blood samples as part of the 2011–12 Australian Health Survey. Self-reported prevalence of high blood pressure, high cholesterol and diabetes was compared to measured prevalence, and univariate and multivariate logistic regression analyses identified socio-demographic characteristics associated with underreporting for each risk factor. RESULTS: Approximately 16 % of the total sample underreported high blood pressure (measured to be at high risk but didn’t report a diagnosis), 33 % underreported high cholesterol, and 1.3 % underreported diabetes. Among those measured to be at high risk, 68 % did not report a diagnosis for high blood pressure, nor did 89 % of people with high cholesterol and 29 % of people with high fasting plasma glucose. Younger age was associated with underreporting high blood pressure and high cholesterol, while lower area-level disadvantage and higher income were associated with underreporting diabetes. CONCLUSIONS: Underreporting has important implications for CVD risk factor surveillance, policy planning and decisions, and clinical best-practice guidelines. This analysis highlights concerns about the reach of primary prevention efforts in certain groups and implications for patients who may be unaware of their disease risk status. BioMed Central 2016-08-02 /pmc/articles/PMC4971705/ /pubmed/27484257 http://dx.doi.org/10.1186/s12889-016-3389-y Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Peterson, Karen Louise Jacobs, Jane Philippa Allender, Steven Alston, Laura Veronica Nichols, Melanie Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey |
title | Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey |
title_full | Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey |
title_fullStr | Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey |
title_full_unstemmed | Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey |
title_short | Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey |
title_sort | characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the australian health survey |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971705/ https://www.ncbi.nlm.nih.gov/pubmed/27484257 http://dx.doi.org/10.1186/s12889-016-3389-y |
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