ArticleBMC public health2016
Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey.
Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Application of compound poisson model to estimate underreported risk of non-communicable diseases in underdeveloped areas.One health (Amsterdam, Netherlands) · 2024Article
- Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions: data from a community-based study in Xi'an, China.Frontiers in public health · 2024Article
- Article
- Validity of self-reported hypertension in India: Evidence from nationally representative survey of adult population over 45 years.Journal of clinical hypertension (Greenwich, Conn.) · 2022Article
- Comparing self-reported and measured hypertension and hypercholesterolaemia at standard and more stringent diagnostic thresholds: the cross-sectional 2010-2015 Busselton Healthy Ageing study.Clinical hypertension · 2022Article
- The Associations between Depression, Acculturation, and Cardiovascular Health among African Immigrants in the United States.International journal of environmental research and public health · 2022Article
- Characteristics, Comorbidities, and Data Gaps for Coronavirus Disease Deaths, Tennessee, USA.Emerging infectious diseases · 2021Review
- Self-Reported Modifiable Risk Factors of Cardiovascular Disease among Older Adults in Malaysia: A Cross-Sectional Study of Prevalence and Clustering.International journal of environmental research and public health · 2021Article
- A Modified CAIDE Risk Score as a Screening Tool for Cognitive Impairment in Older Adults.Journal of Alzheimer's disease : JAD · 2021Article
- Accuracy of Self-Reported Hypertension, Diabetes, and Hyperlipidemia among Adults of Liwan, Guangzhou, China.Iranian journal of public health · 2020Article
- A Mixed-Methods Study to Examine the Role of Psychosocial Stress and Air Pollution on Hypertension in Mexican-Origin Hispanics.Journal of racial and ethnic health disparities · 2019Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMeasuring 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.
methodsThis 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.
resultsApproximately 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.
conclusionsUnderreporting 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.
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