IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i21p11375-d667805.html
   My bibliography  Save this article

Diet Quality and Incident Non-Communicable Disease in the 1946–1951 Cohort of the Australian Longitudinal Study on Women’s Health

Author

Listed:
  • Hlaing Hlaing-Hlaing

    (School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
    Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia)

  • Xenia Dolja-Gore

    (School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
    Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia)

  • Meredith Tavener

    (School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
    Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia)

  • Erica L. James

    (School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
    Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia)

  • Allison M. Hodge

    (Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC 3010, Australia)

  • Alexis J. Hure

    (School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
    Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia)

Abstract

Diet quality indices (DQIs) can be useful predictors of diet–disease relationships, including non-communicable disease (NCD) multimorbidity. We aimed to investigate whether overall diet quality (DQ) predicted NCD, multimorbidity, and all-cause mortality. Women from the 1945–51 cohort of the Australia Longitudinal Study on Women’s Health (ALSWH) were included if they: responded to S3 in 2001 and at least one survey between 2004 (S4) and 2016 (S8), and had no NCD history and complete dietary data at S3. DQ was summarized by the Healthy Eating Index for Australian Adults-2013 (HEIFA-2013), Mediterranean Diet Score (MDS), and Alternative Healthy Eating Index-2010 (AHEI-2010). Outcomes included each NCD (diabetes mellitus (DM), coronary heart disease (CHD), hypertension (HT), asthma, cancer (except skin cancer), depression and/or anxiety) independently, multimorbidity, and all-cause mortality. Repeated multivariate logistic regressions were used to test associations between DQIs and NCD outcomes across the 15 years of follow-up. The mean (±sd) of DQIs of participants ( n = 5350) were 57.15 ± 8.16 (HEIFA-2013); 4.35 ± 1.75 (MDS), and 56.01 ± 10.32 (AHEI-2010). Multivariate regressions indicated that women reporting the highest quintile of AHEI-2010 had lower odds of DM (42–56% (S5–S8)), HT (26% (S8)), asthma (35–37% (S7, S8)), and multimorbidity (30–35% (S7, S8)). The highest quintile of HEIFA-2013 and MDS had lower odds of HT (26–35% (S7, S8); 24–27% (S6–S8), respectively) and depression and/or anxiety (30% (S6): 30–34% (S7, S8)). Our findings support evidence that DQ is an important predictor of some NCDs and a target for prevention in middle-aged women.

Suggested Citation

  • Hlaing Hlaing-Hlaing & Xenia Dolja-Gore & Meredith Tavener & Erica L. James & Allison M. Hodge & Alexis J. Hure, 2021. "Diet Quality and Incident Non-Communicable Disease in the 1946–1951 Cohort of the Australian Longitudinal Study on Women’s Health," IJERPH, MDPI, vol. 18(21), pages 1-21, October.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11375-:d:667805
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/21/11375/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/21/11375/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christopher Harrison & Joan Henderson & Graeme Miller & Helena Britt, 2017. "The prevalence of diagnosed chronic conditions and multimorbidity in Australia: A method for estimating population prevalence from general practice patient encounter data," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-13, March.
    2. Archana Singh-Manoux & Aurore Fayosse & Séverine Sabia & Adam Tabak & Martin Shipley & Aline Dugravot & Mika Kivimäki, 2018. "Clinical, socioeconomic, and behavioural factors at age 50 years and risk of cardiometabolic multimorbidity and mortality: A cohort study," PLOS Medicine, Public Library of Science, vol. 15(5), pages 1-16, May.
    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. Rolla Mira & Tim Newton & Wael Sabbah, 2022. "Inequalities in the progress of multiple chronic conditions: A systematic review of longitudinal studies," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-17, February.
    2. Annette Peart & Virginia Lewis & Chris Barton & Grant Russell, 2020. "Healthcare professionals providing care coordination to people living with multimorbidity: An interpretative phenomenological analysis," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(13-14), pages 2317-2328, July.
    3. Younghwa Baek & Kihyun Park & Kyoungsik Jung & Siwoo Lee, 2022. "Individual Differences in the Association of Lifestyle with Cardiometabolic Risk in Middle-Aged Koreans Based on Traditional Korean Medicine," IJERPH, MDPI, vol. 19(22), pages 1-12, November.
    4. Shannen Vallesi & Matthew Tuson & Andrew Davies & Lisa Wood, 2021. "Multimorbidity among People Experiencing Homelessness—Insights from Primary Care Data," IJERPH, MDPI, vol. 18(12), pages 1-16, June.
    5. Annette Peart & Chris Barton & Virginia Lewis & Grant Russell, 2020. "A state‐of‐the‐art review of the experience of care coordination interventions for people living with multimorbidity," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(9-10), pages 1445-1456, May.
    6. Xunjie Cheng & Tianqi Ma & Feiyun Ouyang & Guogang Zhang & Yongping Bai, 2022. "Trends in the Prevalence of Cardiometabolic Multimorbidity in the United States, 1999–2018," IJERPH, MDPI, vol. 19(8), pages 1-12, April.
    7. Glenda Blaser Petarli & Monica Cattafesta & Monike Moreto Sant’Anna & Olívia Maria de Paula Alves Bezerra & Eliana Zandonade & Luciane Bresciani Salaroli, 2019. "Multimorbidity and complex multimorbidity in Brazilian rural workers," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-17, November.
    8. Shihan Zhen & Qian Li & Jian Liao & Bin Zhu & Fengchao Liang, 2023. "Associations between Household Solid Fuel Use, Obesity, and Cardiometabolic Health in China: A Cohort Study from 2011 to 2018," IJERPH, MDPI, vol. 20(4), pages 1-12, February.

    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:18:y:2021:i:21:p:11375-:d:667805. 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.