Autor: |
Karen Louise Peterson, Jane Philippa Jacobs, Steven Allender, Laura Veronica Alston, Melanie Nichols |
Jazyk: |
angličtina |
Rok vydání: |
2016 |
Předmět: |
|
Zdroj: |
BMC Public Health, Vol 16, Iss 1, Pp 1-11 (2016) |
Druh dokumentu: |
article |
ISSN: |
1471-2458 |
DOI: |
10.1186/s12889-016-3389-y |
Popis: |
Abstract 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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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