Advertisement
Research Article| Volume 30, ISSUE 3, P400-409, March 09, 2020

Download started.

Ok

Carbohydrate restriction in midlife is associated with higher risk of type 2 diabetes among Australian women: A cohort study

  • Jessica Rayner
    Affiliations
    Nutrition and Dietetics, School of Allied Health, Griffith University, Queensland, Australia
    Search for articles by this author
  • Ellie D'Arcy
    Affiliations
    Nutrition and Dietetics, School of Allied Health, Griffith University, Queensland, Australia

    Integrated Primary Care and Partnerships, Western New South Wales Local Health District, NSW, Australia
    Search for articles by this author
  • Lynda J. Ross
    Affiliations
    Nutrition and Dietetics, School of Allied Health, Griffith University, Queensland, Australia
    Search for articles by this author
  • Allison Hodge
    Affiliations
    Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia

    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
    Search for articles by this author
  • Danielle A.J.M. Schoenaker
    Correspondence
    Corresponding author. School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, NSW, 2500, Australia.
    Affiliations
    School of Medicine, Faculty of Science, Medicine and Health, and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia

    The Robinson Research Institute and Discipline of Obstetrics and Gynaecology, University of Adelaide, Adelaide, South Australia, Australia

    Centre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Victoria, Australia
    Search for articles by this author
Published:November 15, 2019DOI:https://doi.org/10.1016/j.numecd.2019.11.001

      Highlights

      • Of 9689 middle-aged Australian women, 10% developed type 2 diabetes over 15 years.
      • Carbohydrate restriction was associated with a 27% higher risk of type 2 diabetes.
      • This association was attenuated after adjustment for BMI.
      • The association was comparable for women with and without prior gestational diabetes.
      • Women should be advised to avoid carbohydrate restricted diets low in fruit and grains.

      Abstract

      Background and aims

      Low-carbohydrate diets (LCDs) are increasingly popular but may be nutritionally inadequate. We aimed to examine if carbohydrate restriction in midlife is associated with risk of developing type 2 diabetes (T2DM), and if this association differs by previous gestational diabetes (GDM) diagnosis.

      Methods and results

      Dietary intake was assessed for 9689 women from the Australian Longitudinal Study on Women's Health in 2001 (aged 50–55) and 2013 (aged 62–67) via validated food frequency questionnaires. Average long-term carbohydrate restriction was assessed using a low-carbohydrate diet score (highest quartile (Q4) indicating lowest proportion of energy from carbohydrates). Incidence of T2DM between 2001 and 2016 was self-reported at 3-yearly surveys. Log-binomial regression was used to estimate relative risks (RR) and 95% CIs. During 15 years of follow-up, 959 women (9.9%) developed T2DM. Carbohydrate restriction was associated with T2DM after adjustment for sociodemographic factors, history of GDM diagnosis and physical activity (Q4 vs Q1: RR 1.27 [95% CI 1.10, 1.48]), and this was attenuated when additionally adjusted for BMI (1.10 [0.95, 1.27]). Carbohydrate restriction was associated with lower consumption of fruit, cereals and high-fibre bread, and lower intakes of these food groups were associated with higher T2DM risk. Associations did not differ by history of GDM (P for interaction >0.15).

      Conclusion

      Carbohydrate restriction was associated with higher T2DM incidence in middle-aged women, regardless of GDM history. Health professionals should advise women to avoid LCDs that are low in fruit and grains, and to consume a diet in line with current dietary recommendations.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Nutrition, Metabolism and Cardiovascular Diseases
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • International Diabetes Federation
        IDF diabetes atlas.
        8th ed. International Diabetes Federation, Brussels, Belgium2017 (Available from:)
        http://www.diabetesatlas.org
        Date accessed: July , 2019
        • American Diabetes Association
        Lifestyle management: standards of medical care in diabetes-2018.
        Diabetes Care. 2018; 41: S38-S50
        • Hu F.B.
        • Manson J.E.
        • Stampfer M.J.
        • Colditz G.
        • Liu S.
        • Solomon C.G.
        • et al.
        Diet, lifestyle, and the risk of type 2 diabetes mellitus in women.
        N Engl J Med. 2001; 345: 790-797
        • American Diabetes Association
        Prevention or delay of type 2 diabetes: standards of medical care in diabetes-2018.
        Diabetes Care. 2018; 41: S51-S54
        • Colagiuri R.
        • Girgis S.
        • Gomez M.
        • Walker K.
        • Colagiuri S.
        • O'Dea K.
        National evidence based guideline for the primary prevention of type 2 diabetes.
        Diabetes Australia and the NHMRC, Canberra2009
        • Malik V.S.
        • Hu F.B.
        Popular weight-loss diets: from evidence to practice.
        Nat Clin Pract Cardiovasc Med. 2007; 4: 34-41
        • Ley S.H.
        • Hamdy O.
        • Mohan V.
        • Hu F.B.
        Prevention and management of type 2 diabetes: dietary components and nutritional strategies.
        Lancet. 2014; 383: 1999-2007
        • Halton T.L.
        • Liu S.
        • Manson J.E.
        • Hu F.B.
        Low-carbohydrate-diet score and risk of type 2 diabetes in women.
        Am J Clin Nutr. 2008; 87: 339-346
        • de Koning L.
        • Fung T.T.
        • Liao X.
        • Chiuve S.E.
        • Rimm E.B.
        • Willett W.C.
        • et al.
        Low-carbohydrate diet scores and risk of type 2 diabetes in men.
        Am J Clin Nutr. 2011; 93: 844-850
        • He Y.N.
        • Feskens E.
        • Li Y.P.
        • Zhang J.
        • Fu P.
        • Ma G.S.
        • et al.
        Association between high fat-low carbohydrate diet score and newly diagnosed type 2 diabetes in Chinese population.
        Biomed Environ Sci. 2012; 25: 373-382
        • Bao W.
        • Li S.
        • Chavarro J.E.
        • Tobias D.K.
        • Zhu Y.
        • Hu F.B.
        • et al.
        Low carbohydrate-diet scores and long-term risk of type 2 diabetes among women with a history of gestational diabetes mellitus: a prospective cohort study.
        Diabetes Care. 2016; 39: 43-49
        • Dabelea D.
        • Snell-Bergeon J.K.
        • Hartsfield C.L.
        • Bischoff K.J.
        • Hamman R.F.
        • McDuffie R.S.
        Increasing prevalence of gestational diabetes mellitus (GDM) over time and by birth cohort: kaiser Permanente of Colorado GDM Screening Program.
        Diabetes Care. 2005; 28: 579-584
        • Bellamy L.
        • Casas J.-P.
        • Hingorani A.D.
        • Williams D.
        Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis.
        Lancet. 2009; 373: 1773-1779
        • Zhu Y.
        • Zhang C.
        Prevalence of gestational diabetes and risk of progression to type 2 diabetes: a global perspective.
        Curr Diabetes Rep. 2016; 16: 7
        • Duarte-Gardea M.O.
        • Gonzales-Pacheco D.M.
        • Reader D.M.
        • Thomas A.M.
        • Wang S.R.
        • Gregory R.P.
        • et al.
        Academy of nutrition and dietetics - gestational diabetes evidence-based nutrition practice guideline.
        J Acad Nutr Diet. 2018; 118: 1719-1742
        • Hod M.
        • Kapur A.
        • Sacks D.A.
        • Hadar E.
        • Agarwal M.
        • Di Renzo G.C.
        • et al.
        The International Federation of Gynecology and Obstetrics (FIGO) Initiative on gestational diabetes mellitus: a pragmatic guide for diagnosis, management, and care.
        Int J Gynaecol Obstet. 2015; 131: S173-S211
        • Xiao R.S.
        • Simas T.A.
        • Person S.D.
        • Goldberg R.J.
        • Waring M.E.
        Diet quality and history of gestational diabetes mellitus among childbearing women, United States, 2007-2010.
        Prev Chronic Dis. 2015; 12: 140360
        • Kieffer E.C.
        • Sinco B.
        • Kim C.
        Health behaviors among women of reproductive age with and without a history of gestational diabetes mellitus.
        Diabetes Care. 2006; 29: 1788-1793
        • Lee C.
        • Dobson A.J.
        • Brown W.J.
        • Bryson L.
        • Byles J.
        • Warner-Smith P.
        • et al.
        Cohort profile: the Australian longitudinal study on women's health.
        Int J Epidemiol. 2005; 34: 987-991
        • Brown W.J.
        • Bryson L.
        • Byles J.E.
        • Dobson A.J.
        • Lee C.
        • Mishra G.
        • et al.
        Women's health Australia: recruitment for a national longitudinal cohort study.
        Women Health. 1998; 28: 23-40
        • Dobson A.J.
        • Hockey R.
        • Brown W.J.
        • Byles J.E.
        • Loxton D.J.
        • McLaughlin D.
        • et al.
        Cohort profile update: Australian longitudinal study on women's health.
        Int J Epidemiol. 2015; 44: 1547
        • Hodge A.
        • Patterson A.J.
        • Brown W.J.
        • Ireland P.
        • Giles G.
        The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation.
        Aust N Z J Public Health. 2000; 24: 576-583
        • Ireland P.
        • Jolley D.
        • Giles G.
        • O'Dea K.
        • Powles J.
        • Rutishauser I.
        • et al.
        Development of the Melbourne FFQ: a food frequency questionnaire for use in an Australian prospective study involving an ethnically diverse cohort.
        Asia Pac J Clin Nutr. 1994; 3: 19-31
        • Lewis J.
        • Milligan G.
        • Hunt A.
        Nuttab95: nutrient data table for use in Australia.
        Australian Government Publishing Service, Canberra1995
        • Hodge A.
        • English D.
        • O'Dea K.
        • Giles G.
        Glycemic index and dietary fiber and the risk of type 2 diabetes.
        Diabetes Care. 2004; 27: 2701-2706
        • Looman M.
        • Schoenaker D.
        • Soedamah-Muthu S.S.
        • Geelen A.
        • Feskens E.J.M.
        • Mishra G.D.
        Pre-pregnancy dietary carbohydrate quantity and quality, and risk of developing gestational diabetes: the Australian Longitudinal Study on Women's Health.
        Br J Nutr. 2018; 120: 435-444
        • Medical Research Council
        • National Health
        Australian dietary guidelines.
        National Health and Medical Research Council, Canberra2013 (Available from:)
        • Navin Cristina T.J.
        • Stewart Williams J.A.
        • Parkinson L.
        • Sibbritt D.W.
        • Byles J.E.
        • Medicinska F.
        • et al.
        Identification of diabetes, heart disease, hypertension and stroke in mid- and older-aged women: comparing self-report and administrative hospital data records.
        Geriatr Gerontol Int. 2016; 16: 95-102
        • Hanley J.A.
        • Negassa A.
        • Edwardes MDd
        • Forrester J.E.
        Statistical analysis of correlated data using generalized estimating equations: an orientation.
        Am J Epidemiol. 2003; 157: 364-375
        • StataCorp L.L.C.
        Stata multiple-imputation reference manual: release 15.
        Stata Press, College Station, Texas2017
      1. StataCorp. Stata statistical software: release 15. StataCorp LLC, College Station, TX2017
        • Kusnadi D.T.L.
        • Barclay A.W.
        • Brand-Miller J.C.
        • Louie J.C.Y.
        Changes in dietary glycemic index and glycemic load in Australian adults from 1995 to 2012.
        Am J Clin Nutr. 2017; 106: 189-198
        • Sainsbury E.
        • Shi Y.
        • Flack J.
        • Colagiuri S.
        Burden of diabetes in Australia: it's time for more action. Preliminary report.
        July 2018 (Available from:)
        • Diabetes Australia
        Facts about diabetes [internet].
        (Available from:)