Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey
Data(s) |
02/08/2016
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Resumo |
<b>BACKGROUND:</b> 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. <br /><br /><b>METHODS:</b> 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. <br /><br /><b>RESULTS:</b> 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. <br /><br /><b>CONCLUSIONS:</b> 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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
BioMed Central |
Relação |
http://dro.deakin.edu.au/eserv/DU:30085785/peterson-characterisingthe-2016.pdf http://www.dx.doi.org/10.1186/s12889-016-3389-y |
Direitos |
2016, The Authors |
Palavras-Chave | #cardiovascular disease/epidemiology #diabetes mellitus/epidemiology #health surveys #hypertension/epidemiology #hypercholesterolemia/epidemiology #logistic models #multivariate analysis #odds ratio #self disclosure #Science & Technology #Life Sciences & Biomedicine #Public, Environmental & Occupational Health #SELF-REPORTED HYPERTENSION #RISK-FACTOR SURVEY #CARDIOVASCULAR-DISEASE #YOUNG-ADULTS #VALIDITY #POPULATION #AGREEMENT #ACCURACY #CARE |
Tipo |
Journal Article |