ArticleInternational journal of environmental research and public health2013
Investigating individual- and area-level socioeconomic gradients of pulse pressure among normotensive and hypertensive participants.
Article in International journal of environmental research and public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Associations between dimensions of the social environment and cardiometabolic risk factors: Systematic review and meta-analysis.SSM - population health · 2024Review
- Influencing factors of wide pulse pressure in an elderly Chinese population: A cross-sectional study.Journal of clinical hypertension (Greenwich, Conn.) · 2022Article
- Elevated pulse pressure and its associations with demographic and clinical parameters in a clinically representative sample of outpatients with psychotic disorders.BJPsych open · 2022Article
- Geographic Clustering of Cardiometabolic Risk Factors in Metropolitan Centres in France and Australia.International journal of environmental research and public health · 2016Article
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Authors and funding
7 authors.
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Abstract
Socioeconomic status is a strong predictor of cardiovascular disease. Pulse pressure, the difference between systolic and diastolic blood pressure, has been identified as an important predictor of cardiovascular risk even after accounting for absolute measures of blood pressure. However, little is known about the social determinants of pulse pressure. The aim of this study was to examine individual- and area-level socioeconomic gradients of pulse pressure in a sample of 2,789 Australian adults. Using data from the North West Adelaide Health Study we estimated the association between pulse pressure and three indices of socioeconomic status (education, income and employment status) at the area and individual level for hypertensive and normotensive participants, using Generalized Estimating Equations. In normotensive individuals, area-level education (estimate: -0.106; 95% CI: -0.172, -0.041) and individual-level income (estimate: -1.204; 95% CI: -2.357, -0.050) and employment status (estimate: -1.971; 95% CI: -2.894, -1.048) were significant predictors of pulse pressure, even after accounting for the use of medication and lifestyle behaviors. In hypertensive individuals, only individual-level measures of socioeconomic status were significant predictors of pulse pressure (education estimate: -2.618; 95% CI: -4.878, -0.357; income estimate: -1.683, 95% CI: -3.743, 0.377; employment estimate: -2.023; 95% CI: -3.721, -0.326). Further research is needed to better understand how individual- and area-level socioeconomic status influences pulse pressure in normotensive and hypertensive individuals.
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