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

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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
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    References listed on IDEAS

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    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. 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.
    3. 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.
    4. 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.
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