IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v10y2013i2p571-589d23325.html
   My bibliography  Save this article

Investigating Individual- and Area-Level Socioeconomic Gradients of Pulse Pressure among Normotensive and Hypertensive Participants

Author

Listed:
  • Lisa A. Matricciani

    (Social Epidemiology and Evaluation Research Group, Sansom Institute for Health Research, School of Population Health, Division of Health Sciences, University of South Australia, Adelaide 5001, Australia)

  • Catherine Paquet

    (Social Epidemiology and Evaluation Research Group, Sansom Institute for Health Research, School of Population Health, Division of Health Sciences, University of South Australia, Adelaide 5001, Australia
    Research Centre of the Douglas Mental Health University Institute, Verdun, Quebec H4H 1R2, Canada)

  • Natasha J. Howard

    (Social Epidemiology and Evaluation Research Group, Sansom Institute for Health Research, School of Population Health, Division of Health Sciences, University of South Australia, Adelaide 5001, Australia)

  • Robert Adams

    (The Health Observatory, Discipline of Medicine, The University of Adelaide, Adelaide, South Australia 5005, Australia)

  • Neil T. Coffee

    (Social Epidemiology and Evaluation Research Group, Sansom Institute for Health Research, School of Population Health, Division of Health Sciences, University of South Australia, Adelaide 5001, Australia)

  • Anne W. Taylor

    (Population Research and Outcome Studies, Discipline of Medicine, The University of Adelaide, Adelaide, South Australia 5005, Australia)

  • Mark Daniel

    (Social Epidemiology and Evaluation Research Group, Sansom Institute for Health Research, School of Population Health, Division of Health Sciences, University of South Australia, Adelaide 5001, Australia
    Department of Medicine, The University of Melbourne, St Vincent's Hospital, Melbourne, Victoria 3065, Australia)

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.

Suggested Citation

  • Lisa A. Matricciani & Catherine Paquet & Natasha J. Howard & Robert Adams & Neil T. Coffee & Anne W. Taylor & Mark Daniel, 2013. "Investigating Individual- and Area-Level Socioeconomic Gradients of Pulse Pressure among Normotensive and Hypertensive Participants," IJERPH, MDPI, vol. 10(2), pages 1-19, February.
    • Handle: RePEc:gam:jijerp:v:10:y:2013:i:2:p:571-589:d:23325
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/10/2/571/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/10/2/571/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ashley Isaac Naimi & Catherine Paquet & Lise Gauvin & Mark Daniel, 2009. "Associations between Area-Level Unemployment, Body Mass Index, and Risk Factors for Cardiovascular Disease in an Urban Area," IJERPH, MDPI, vol. 6(12), pages 1-15, December.
    2. Sundquist, Kristina & Theobald, Holger & Yang, Min & Li, Xinjun & Johansson, Sven-Erik & Sundquist, Jan, 2006. "Neighborhood violent crime and unemployment increase the risk of coronary heart disease: A multilevel study in an urban setting," Social Science & Medicine, Elsevier, vol. 62(8), pages 2061-2071, April.
    3. Cozier, Y.C. & Palmer, J.R. & Horton, N.J. & Fredman, L. & Wise, L.A. & Rosenberg, L., 2007. "Relation between neighborhood median housing value and hypertension risk among black women in the United States," American Journal of Public Health, American Public Health Association, vol. 97(4), pages 718-724.
    4. Yen, I.H. & Kaplan, G.A., 1998. "Poverty area residence and changes in physical activity level: Evidence from the Alameda County Study," American Journal of Public Health, American Public Health Association, vol. 88(11), pages 1709-1712.
    5. Ross, Catherine E., 2000. "Walking, exercising, and smoking: does neighborhood matter?," Social Science & Medicine, Elsevier, vol. 51(2), pages 265-274, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Catherine Paquet & Basile Chaix & Natasha J. Howard & Neil T. Coffee & Robert J. Adams & Anne W. Taylor & Frédérique Thomas & Mark Daniel, 2016. "Geographic Clustering of Cardiometabolic Risk Factors in Metropolitan Centres in France and Australia," IJERPH, MDPI, vol. 13(5), pages 1-17, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Md Amiruzzaman & Andrew Curtis & Ye Zhao & Suphanut Jamonnak & Xinyue Ye, 2021. "Classifying crime places by neighborhood visual appearance and police geonarratives: a machine learning approach," Journal of Computational Social Science, Springer, vol. 4(2), pages 813-837, November.
    2. Virtanen, Marianna & Kivimäki, Mika & Kouvonen, Anne & Elovainio, Marko & Linna, Anne & Oksanen, Tuula & Vahtera, Jussi, 2007. "Average household income, crime, and smoking behaviour in a local area: The Finnish 10-Town study," Social Science & Medicine, Elsevier, vol. 64(9), pages 1904-1913, May.
    3. Giatti, Luana & Barreto, Sandhi M. & César, Cibele C., 2010. "Unemployment and self-rated health: Neighborhood influence," Social Science & Medicine, Elsevier, vol. 71(4), pages 815-823, August.
    4. Pascual, Cruz & Regidor, Enrique & Astasio, Paloma & Ortega, Paloma & Navarro, Pedro & Domínguez, Vicente, 2007. "The association of current and sustained area-based adverse socioeconomic environment with physical inactivity," Social Science & Medicine, Elsevier, vol. 65(3), pages 454-466, August.
    5. Youngkook Kim, 2016. "Impacts of the perception of physical environments and the actual physical environments on self-rated health," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(1), pages 73-87, March.
    6. Ming Wen & Christopher R. Browning & Kathleen A. Cagney, 2007. "Neighbourhood Deprivation, Social Capital and Regular Exercise during Adulthood: A Multilevel Study in Chicago," Urban Studies, Urban Studies Journal Limited, vol. 44(13), pages 2651-2671, December.
    7. McNeill, Lorna Haughton & Kreuter, Matthew W. & Subramanian, S.V., 2006. "Social Environment and Physical activity: A review of concepts and evidence," Social Science & Medicine, Elsevier, vol. 63(4), pages 1011-1022, August.
    8. Stafford, Mai & Cummins, Steven & Ellaway, Anne & Sacker, Amanda & Wiggins, Richard D. & Macintyre, Sally, 2007. "Pathways to obesity: Identifying local, modifiable determinants of physical activity and diet," Social Science & Medicine, Elsevier, vol. 65(9), pages 1882-1897, November.
    9. Lång, Elisabeth & Nystedt, Paul, 2018. "Blowing up money? The earnings penalty of smoking in the 1970s and the 21st century," Journal of Health Economics, Elsevier, vol. 60(C), pages 39-52.
    10. Kendzor, Darla E. & Reitzel, Lorraine R. & Mazas, Carlos A. & Cofta-Woerpel, Ludmila M. & Cao, Yumei & Ji, Lingyun & Costello, Tracy J. & Vidrine, Jennifer Irvin & Businelle, Michael S. & Li, Yisheng , 2012. "Individual- and area-level unemployment influence smoking cessation among African Americans participating in a randomized clinical trial," Social Science & Medicine, Elsevier, vol. 74(9), pages 1394-1401.
    11. Eileen Trzcinski & Elke Holst, 2010. "Interrelationships among Locus of Control and Years in Management and Unemployment: Differences by Gender," Discussion Papers of DIW Berlin 974, DIW Berlin, German Institute for Economic Research.
    12. Jina Mahmoudi & Lei Zhang, 2022. "Health Impacts of the Built and Social Environments, and Travel Behavior: The Case of the Sunshine State," IJERPH, MDPI, vol. 19(15), pages 1-42, July.
    13. Renin Toms & Xiaoqi Feng & Darren J Mayne & Andrew Bonney, 2020. "Role of Area-Level Access to Primary Care on the Geographic Variation of Cardiometabolic Risk Factor Distribution: A Multilevel Analysis of the Adult Residents in the Illawarra—Shoalhaven Region of NS," IJERPH, MDPI, vol. 17(12), pages 1-21, June.
    14. Miles, Rebecca, 2006. "Neighborhood disorder and smoking: Findings of a European urban survey," Social Science & Medicine, Elsevier, vol. 63(9), pages 2464-2475, November.
    15. Janke, K. & Propper, C. & Shields, M.A., 2013. "Does Violent Crime Deter Physical Activity?," Health, Econometrics and Data Group (HEDG) Working Papers 13/26, HEDG, c/o Department of Economics, University of York.
    16. Das, Jayoti & De Loach, Stephen B., 2011. "Mirror, mirror on the wall: The effect of time spent grooming on earnings," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(1), pages 26-34, February.
    17. Rachel Tolbert Kimbro & Jeanne Brooks-Gunn & Sara McLanahan, 2010. "Neighborhood Context, Poverty, and Urban Children's Outdoor Play," Working Papers 1226, Princeton University, School of Public and International Affairs, Center for Research on Child Wellbeing..
    18. Browning, Christopher R. & Cagney, Kathleen A. & Iveniuk, James, 2012. "Neighborhood stressors and cardiovascular health: Crime and C-reactive protein in Dallas, USA," Social Science & Medicine, Elsevier, vol. 75(7), pages 1271-1279.
    19. Stephanie T Broyles & Amanda E Staiano & Kathryn T Drazba & Alok K Gupta & Melinda Sothern & Peter T Katzmarzyk, 2012. "Elevated C-Reactive Protein in Children from Risky Neighborhoods: Evidence for a Stress Pathway Linking Neighborhoods and Inflammation in Children," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-8, September.
    20. Tiznado-Aitken, Ignacio & Guerrero B., Thomas E. & Sagaris, Lake, 2024. "Uncovering gender-based violence and harassment in public transport: Lessons for spatial and transport justice," Journal of Transport Geography, Elsevier, vol. 114(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:10:y:2013:i:2:p:571-589:d:23325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.