IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i2p224-d197707.html
   My bibliography  Save this article

Sex-Specific Lifestyle and Biomedical Risk Factors for Chronic Disease among Early-Middle, Middle and Older Aged Australian Adults

Author

Listed:
  • Sarah R. Dash

    (Metabolic and Vascular Physiology, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
    Food and Mood Centre, Centre for Innovation in Mental and Physical Health and Clinical Treatment, School of Medicine, Faculty of Health, Deakin University, Melbourne, VIC 3004, Australia)

  • Erin Hoare

    (Metabolic and Vascular Physiology, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
    Food and Mood Centre, Centre for Innovation in Mental and Physical Health and Clinical Treatment, School of Medicine, Faculty of Health, Deakin University, Melbourne, VIC 3004, Australia)

  • Pia Varsamis

    (Metabolic and Vascular Physiology, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia)

  • Garry L. R. Jennings

    (Metabolic and Vascular Physiology, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
    Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia)

  • Bronwyn A. Kingwell

    (Metabolic and Vascular Physiology, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia)

Abstract

Evidence suggests age and sex differences in risk factors for chronic disease. This study examined lifestyle and biomedical risk factors among men (m) and women (w) in early-middle (25–51 years), middle (52–64) and older (65+) adulthood. Cross-sectional data from the 2011–2012 Australian Health Survey (n = 3024) were analysed. Self-reported dietary, activity, sleep behaviours and collected biomedical data were analysed. Early-middle adults failed to meet fruit, vegetable (95.3%) and sugar-sweetened beverage (SSB, 34.9%) recommendations. Older adults had higher prevalence of overweight/obesity (70%), high blood pressure (38.0%) and fewer met physical activity guidelines (36.3%). Prior to older adulthood, more men consumed SSBs (early-middle m 45.6%, w 24.4%; middle m 26.0%, w 19.3%), and fewer met sedentary behaviour recommendations (early-middle m 43.2%, w 62.1%; middle m 46.4%, w 63.9%). Differences in overweight/obese women in early-middle (44.8%) to middle adulthood (64.7%) were significant. Biomedical risk was greatest in middle age; abnormal cholesterol/lipids increased specifically for women (total cholesterol early-middle 24.9% middle 56.4%; abnormal LDL-cholesterol early-middle 23.1% middle 53.9%). Adherence to lifestyle guidelines was low; particularly among men. While men exhibited greater clinical risk overall, this significantly increased among women in middle-adulthood. Public health strategies to improve lifestyle, monitor and intervene among middle-aged women are warranted.

Suggested Citation

  • Sarah R. Dash & Erin Hoare & Pia Varsamis & Garry L. R. Jennings & Bronwyn A. Kingwell, 2019. "Sex-Specific Lifestyle and Biomedical Risk Factors for Chronic Disease among Early-Middle, Middle and Older Aged Australian Adults," IJERPH, MDPI, vol. 16(2), pages 1-13, January.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:2:p:224-:d:197707
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/2/224/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/2/224/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anne Case & Christina Paxson, 2005. "Sex differences in morbidity and mortality," Demography, Springer;Population Association of America (PAA), vol. 42(2), pages 189-214, May.
    2. Ford, E.S. & Zhao, G. & Tsai, J. & Li, C., 2011. "Low-Risk lifestyle behaviors and all-cause mortality: Findings from the national health and nutrition examination survey III mortality study," American Journal of Public Health, American Public Health Association, vol. 101(10), pages 1922-1929.
    3. Xiaona Zhang & Ruyi Xia & Shu Wang & Wei Xue & Jian Yang & Shuliu Sun & Guihua Zhuang, 2018. "Relative Contributions of Different Lifestyle Factors to Health-Related Quality of Life in the Elderly," IJERPH, MDPI, vol. 15(2), pages 1-13, February.
    4. Goodarz Danaei & Eric L Ding & Dariush Mozaffarian & Ben Taylor & Jürgen Rehm & Christopher J L Murray & Majid Ezzati, 2009. "The Preventable Causes of Death in the United States: Comparative Risk Assessment of Dietary, Lifestyle, and Metabolic Risk Factors," PLOS Medicine, Public Library of Science, vol. 6(4), pages 1-23, April.
    Full references (including those not matched with items on IDEAS)

    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. Thomas Leoni, 2011. "Fehlzeitenreport 2011. Krankheits- und unfallbedingte Fehlzeiten in Österreich," WIFO Studies, WIFO, number 42691, April.
    2. Sophie Le Cœur & Aline Desesquelles & Elisabeth Morand & Cheeraya Kanabkaew & Éva Lelièvre, 2017. "Self-rated Health among HIV-infected People Receiving Treatments in Thailand," Asian Social Science, Canadian Center of Science and Education, vol. 13(1), pages 1-20, January.
    3. Charles Courtemanche & James Marton & Benjamin Ukert & Aaron Yelowitz & Daniela Zapata, 2018. "Early Effects of the Affordable Care Act on Health Care Access, Risky Health Behaviors, and Self‐Assessed Health," Southern Economic Journal, John Wiley & Sons, vol. 84(3), pages 660-691, January.
    4. Quitterie Roquebert & Jonathan Sicsic & Thomas Rapp, 2021. "Health measures and long-term care use in the European frail population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(3), pages 405-423, April.
    5. Clémence Kieny & Gabriela Flores & Jürgen Maurer, 2021. "Assessing and decomposing gender differences in evaluative and emotional well-being among older adults in the developing world," Review of Economics of the Household, Springer, vol. 19(1), pages 189-221, March.
    6. Pedro Albarran Pérez & Marisa Hidalgo Hidalgo & Iñigo Iturbe-Ormaetxe Kortajarene, 2017. "Schooling and adult health: Can education overcome bad early-life conditions?," Working Papers. Serie AD 2017-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    7. Andrea M. Mühlenweg & Franz G. Westermaier & Brant Morefield, 2016. "Parental health and child behavior: evidence from parental health shocks," Review of Economics of the Household, Springer, vol. 14(3), pages 577-598, September.
    8. Strulik, Holger, 2023. "Hooked on weight control: An economic theory of anorexia nervosa and its impact on health and longevity," Journal of Health Economics, Elsevier, vol. 88(C).
    9. Nabanita Datta Gupta & Mona Larsen, 2010. "The impact of health on individual retirement plans: self‐reported versus diagnostic measures," Health Economics, John Wiley & Sons, Ltd., vol. 19(7), pages 792-813, July.
    10. Tansel, Aysit & Karaoglan, Deniz, 2014. "Health behaviors and education in Turkey," MPRA Paper 57322, University Library of Munich, Germany, revised 15 Jul 2014.
    11. Dusanee Kesavayuth & Prompong Shangkhum & Vasileios Zikos, 2022. "Well-Being and Physical Health: A Mediation Analysis," Journal of Happiness Studies, Springer, vol. 23(6), pages 2849-2879, August.
    12. Timothy J. Halliday, 2008. "Heterogeneity, state dependence and health," Econometrics Journal, Royal Economic Society, vol. 11(3), pages 499-516, November.
    13. Brian L. Rostron & Cindy M. Chang & Brittny C. Davis Lynn & Chunfeng Ren & Esther Salazar & Bridget K. Ambrose, 2022. "The contribution of smoking-attributable mortality to differences in mortality and life expectancy among US African-American and white adults, 2000–2019," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(31), pages 905-918.
    14. Cally Ardington & Anne Case & Mahnaz Islam & David Lam & Murray Leibbrandt & Alicia Menendez & Analia Olgiati, 2009. "The impact of AIDS on intergenerational support in South Africa: Evidence from the Cape Area Panel Study," SALDRU Working Papers 27, Southern Africa Labour and Development Research Unit, University of Cape Town.
    15. Matthew Ritchey & Stavros Tsipas & Fleetwood Loustalot & Gregory Wozniak, 2016. "Use of Pharmacy Sales Data to Assess Changes in Prescription- and Payment-Related Factors that Promote Adherence to Medications Commonly Used to Treat Hypertension, 2009 and 2014," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-14, July.
    16. Timothy Halliday, 2006. "Income Risk and Health," Working Papers 200612, University of Hawaii at Manoa, Department of Economics.
    17. Pınar Mine Güneş, 2016. "The effects of teenage childbearing on long-term health in the US: a twin-fixed-effects approach," Review of Economics of the Household, Springer, vol. 14(4), pages 891-920, December.
    18. Lindsay C. Kobayashi & Sarah Frank & Carlos Riumallo-Herl & David Canning & Lisa Berkman, 2019. "Socioeconomic gradients in chronic disease risk behaviors in a population-based study of older adults in rural South Africa," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(1), pages 135-145, January.
    19. Martin Gaechter & Peter Schwazer & Engelbert Theurl, 2012. "Stronger Sex but Earlier Death: A Multi-level Socioeconomic Analysis of Gender Differences in Mortality in Austria," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 1, pages 1-23, March.
    20. Timothy Halliday, 2006. "The Impact of Aggregate and Idiosyncratic Income Shocks on Health Outcomes: Evidence from the PSID," Working Papers 200606, University of Hawaii at Manoa, Department of Economics.

    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:16:y:2019:i:2:p:224-:d:197707. 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.