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Original Article| Volume 158, P25-33, April 2022

Onset and progression of chronic disease and disability in a large cohort of older Australian women

      Highlights

      • Two-thirds of a large cohort of older Australian women had died by age 90–95, and only 3.8% of these died without disease and disability.
      • Women with chronic disease were more likely to experience disability than to die without disability.
      • At age 70–75, predicted life without disease and disability was eight years, while life with disease but no disability was four years, and life with disability was four years.
      • The factors difficulties managing on available income, less than secondary school qualification and obese/overweight at age 70–75 were associated with increased risk of disability.

      Abstract

      Objective

      To estimate the probability of onset and progression of disease and disability, length of life with or without disease and/or disability, and incidence of mortality, and to identify factors associated with transitioning to disease and/or disability over time.

      Study design

      A prospective cohort study. Data were provided by 12,432 participants (born 1921–26) of the Australian Longitudinal Study of Women's Health linked with National Death Index data from 1996 (age: 70–75) to 2016 (age: 90–95).

      Main outcome measures

      A five-state Markov model was fitted to estimate the transition probability, length of life with or without disease and/or disability, and the association between baseline characteristics and disease/disability/mortality risk.

      Results

      Over two-thirds of women had died by age 90–95, and only 3.8% of these had died with no chronic disease and disability. Those reporting chronic disease were more likely to have experienced disability (Transition Rate Ratio: 2•72, 95%CI= 2•52–2•93) than those who died without disability. At age 70–75, the expected life without chronic disease and disability was 7•68 (95%CI: 7•52–7•80) years, life with chronic disease but no disability was 4•39 (95%CI=4•23–4•49) years, and life with disability was 3.76 (95%CI=3•66–3•92) years. The factors difficulties managing on available income (HR=1•18, 95%CI=1•02–1•38), did not complete secondary school (HR=1•19, 95%CI=1•03–1•37), and overweight/obese (HR=1•36, 95%CI=1•20–1•55) were associated with an increased risk of disability.

      Conclusions

      Our findings provide important insights on the onset and progression of disease and disability in older women, underscoring the importance of addressing mid-/early old-life risk factors, managing chronic conditions, and delaying disability onset and progression through targeted intervention programs.

      Keywords

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      References

        • Byles J.E.
        • Rahman M.M.
        • Princehorn E.M.
        • Holliday E.G.
        • Leigh L.
        • Loxton D.
        • Beard J.
        • Kowal P.
        • Jagger C.
        Successful ageing from old to very old: a longitudinal study of 12,432 women from Australia.
        Age Ageing. 2019; 48: 803-810https://doi.org/10.1093/ageing/afz116
        • WHO
        World Report on Ageing and Health.
        World Health Organization, Geneva2015
        • Anderson W.L.
        • Wiener J.M.
        • Finkelstein E.A.
        • Armour B.S.
        Estimates of national health care expenditures associated with disability.
        J. Disabil. Policy Stud. 2011; https://doi.org/10.1177/1044207310391407
        • Sousa R.M.
        • Ferri C.P.
        • Acosta D.
        • Albanese E.
        • Guerra M.
        • Huang Y.
        • Jacob K.S.
        • Jotheeswaran A.T.
        • Rodriguez J.J.L.
        • Pichardo G.R.
        • Rodriguez M.C.
        • Salas A.
        • Sosa A.L.
        • Williams J.
        • Zuniga T.
        • Prince M.
        Contribution of chronic diseases to disability in elderly people in countries with low and middle incomes: a 10/66 dementia research group population-based survey.
        Lancet. 2009; 374: 1821-1830https://doi.org/10.1016/S0140-6736(09)61829-8
        • Fong J.H.
        Disability incidence and functional decline among older adults with major chronic diseases.
        BMC Geriatr. 2019; https://doi.org/10.1186/s12877-019-1348-z
        • Crimmins E.M.
        • Zhang Y.S.
        • Kim J.K.
        • Levine M.E.
        Changing disease prevalence, incidence, and mortality among older cohorts: the health and retirement study.
        J. Gerontol. Ser. A Biol. Sci. Med. Sci. 2019; https://doi.org/10.1093/gerona/glz075
        • Australian Institute of Health and Wellfare
        Australia's Health.
        Australian Institute of Health and Wellfare, 2018: 2018
        • Chatterji S.
        • Byles J.
        • Cutler D.
        • Seeman T.
        E. Verdes, Health, functioning, and disability in older adults - present status and future implications.
        Lancet. 2015; https://doi.org/10.1016/S0140-6736(14)61462-8
        • Crimmins E.M.
        • Hayward M.D.
        • Hagedorn A.
        • Saito Y.
        • Brouard N.
        Change in disability-free life expectancy for Americans 70 years old and older.
        Demography. 2009; https://doi.org/10.1353/dem.0.0070
        • Welsh C.E.
        • Matthews F.E.
        • Jagger C.
        Trends in life expectancy and healthy life years at birth and age 65 in the UK, 2008–2016, and other countries of the EU28: an observational cross-sectional study.
        Lancet Reg. Heal. Eur. 2021; 2100023https://doi.org/10.1016/j.lanepe.2020.100023
        • Kelly-Hayes M.
        • Jette A.M.
        • Wolf P.A.
        • D'Agostino R.B.
        • Odell P.M.
        Functional limitations and disability among elders in the Framingham study.
        Am. J. Public Health. 1992; 82: 841-845https://doi.org/10.2105/AJPH.82.6.841
        • Ryan A.
        • Wallace E.
        • O'Hara P.
        • Smith S.M.
        Multimorbidity and functional decline in community-dwelling adults: a systematic review.
        Health Qual. Life Outcomes. 2015; https://doi.org/10.1186/s12955-015-0355-9
        • Goering S.
        Rethinking disability: the social model of disability and chronic disease.
        Curr. Rev. Musculoskelet. Med. 2015; https://doi.org/10.1007/s12178-015-9273-z
        • World Health Organization, World Health Organisation
        International classification of functioning, disability and health (ICF). Geneva: world health organisation.
        Int. Classif. 2001; : 2001
        • Guzman-Castillo M.
        • Ahmadi-Abhari S.
        • Bandosz P.
        • Capewell S.
        • Steptoe A.
        • Singh-Manoux A.
        • Kivimaki M.
        • Shipley M.J.
        • Brunner E.J.
        • O'Flaherty M.
        Forecasted trends in disability and life expectancy in England and Wales up to 2025: a modelling study.
        Lancet Public Health. 2017; https://doi.org/10.1016/S2468-2667(17)30091-9
        • Australian Institute of Health and Welfare
        Healthy Life Expectancy in Australia: Patterns and Trends 1998 to 2012.
        Australian Institute of Health and Welfare, 2014
        • Rosso A.L.
        • Wisdom J.P.
        • Horner-Johnson W.
        • McGee M.G.
        • Michael Y.L.
        Aging with a disability: a systematic review of cardiovascular disease and osteoporosis among women aging with a physical disability.
        Maturitas. 2011; : 68https://doi.org/10.1016/j.maturitas.2010.10.004
        • Freedman V.A.
        • Wolf D.A.
        • Spillman B.C.
        Disability-free life expectancy over 30 years: a growing female disadvantage in the US population.
        Am. J. Public Health. 2016; https://doi.org/10.2105/AJPH.2016.303089
        • Brown W.J.
        • Bryson L.
        • Byles J.E.
        • Dobson A.J.
        • Lee C.
        • Mishra G.
        • Schofield M.
        Women's Health Australia: recruitment for a national longitudinal cohort study.
        Women Health. 1999; 28: 23-40
        • Dobson A.J.
        • Hockey R.
        • Brown W.J.
        • Byles J.E.
        • Loxton D.J.
        • McLaughlin D.
        • Tooth L.R.
        • Mishra G.D.
        Cohort profile update: Australian longitudinal study on women's health.
        Int. J. Epidemiol. 2015; 44 (1547–1547f)
        • Australian Longitudinal Study on Women's Health
        The SF-36 Calculated.
        2018 (file:///C:/Users/mmrahman/OneDrive - University of)
        • Nutrition Screening Initiative
        Nutrition Interventions Manual For Professionals Caring For Older Americans.
        Nutr. Screen. Initiat., Washington, DC1992
        • Ma J.
        • Chan W.
        • Tilley B.C.
        Continuous time Markov chain approaches for analyzing transtheoretical models of health behavioral change: a case study and comparison of model estimations.
        Stat. Methods Med. Res. 2018; https://doi.org/10.1177/0962280216639859
        • Przybilla J.
        • Ahnert P.
        • Bogatsch H.
        • Bloos F.
        • Brunkhorst F.M.
        • Bauer M.
        • Loeffler M.
        • Witzenrath M.
        • Suttorp N.
        • Scholz M.
        Markov state modelling of disease courses and mortality risks of patients with community-acquired pneumonia.
        J. Clin. Med. 2020; 9: 393https://doi.org/10.3390/jcm9020393
        • Jackson C.H.
        Multi-state modelling with R: the msm package (long vignette).
        J. Stat. Softw. 2018;
        • Arnold J.
        • Dai J.
        • Nahapetyan L.
        • Arte A.
        • Johnson M.A.
        • Hausman D.
        • Rodgers W.L.
        • Hensley R.
        • Martin P.
        • MacDonald M.
        • Davey A.
        • Siegler I.C.
        • Jazwinski S.M.
        • Poon L.W.
        Predicting successful aging in a population-based sample of Georgia centenarians.
        Curr. Gerontol. Geriatr. Res. 2010; : 2010https://doi.org/10.1155/2010/989315
        • Landi F.
        • Liperoti R.
        • Russo A.
        • Capoluongo E.
        • Barillaro C.
        • Pahor M.
        • Bernabei R.
        • Onder G.
        Disability, more than multimorbidity, was predictive of mortality among older persons aged 80 years and older.
        J. Clin. Epidemiol. 2010; https://doi.org/10.1016/j.jclinepi.2009.09.007
        • Marengoni A.
        • Von Strauss E.
        • Rizzuto D.
        • Winblad B.
        • Fratiglioni L.
        The impact of chronic multimorbidity and disability on functional decline and survival in elderly persons. A community-based, longitudinal study.
        J. Intern. Med. 2009; https://doi.org/10.1111/j.1365-2796.2008.02017.x
        • Javed A.A.
        • Aljied R.
        • Allison D.J.
        • Anderson L.N.
        • Ma J.
        • Raina P.
        Body mass index and all-cause mortality in older adults: a scoping review of observational studies.
        Obes. Rev. 2020; 21https://doi.org/10.1111/obr.13035
        • Leigh L.
        • Byles J.E.
        • Jagger C.
        BMI and healthy life expectancy in old and very old women.
        Br. J. Nutr. 2016; 116: 692-699https://doi.org/10.1017/S0007114516002403
        • Samper-Ternent R.
        • Al Snih S.
        Obesity in older adults: epidemiology and implications for disability and disease.
        Rev. Clin. Gerontol. 2012; https://doi.org/10.1017/S0959259811000190
        • Keramat S.A.
        • Alam K.
        • Sathi N.J.
        • Gow J.
        • Biddle S.J.H.
        • Al-Hanawi M.K.
        Self-reported disability and its association with obesity and physical activity in Australian adults: results from a longitudinal study.
        SSM Popul. Heal. 2021; https://doi.org/10.1016/j.ssmph.2021.100765
        • Batsis J.A.
        • Zagaria A.B.
        Addressing obesity in aging patients.
        Med. Clin. North Am. 2018; https://doi.org/10.1016/j.mcna.2017.08.007
        • von Berens S.R.O.
        • Nydahl M.
        • Koochek A.
        • Lissner L.
        • Skoog I.
        • Frändin K.
        • Skoglund E.
        • Rothenberg E.
        • Cederholm T.
        Sarcopenic obesity and associations with mortality in older women and men – A prospective observational study.
        BMC Geriatr. 2020; 20: 1-10https://doi.org/10.1186/s12877-020-01578-9
        • Hubbard R.E.
        • Searle S.D.
        • Mitnitski A.
        • Rockwood K.
        Effect of smoking on the accumulation of deficits, frailty and survival in older adults: a secondary analysis from the canadian study of health and aging.
        J. Nutr. Heal. Aging. 2009; https://doi.org/10.1007/s12603-009-0085-y
        • Bennett H.Q.
        • Kingston A.
        • Spiers G.
        • Robinson L.
        • Corner L.
        • Bambra C.
        • Brayne C.
        • Matthews F.E.
        • Jagger C.
        Healthy ageing for all? Comparisons of socioeconomic inequalities in health expectancies over two decades in the cognitive function and ageing studies I and II.
        Int. J. Epidemiol. 2021; : 1-11https://doi.org/10.1093/ije/dyaa271
        • Stavrou E.
        • Vajdic C.M.
        • Loxton D.
        • Pearson S.A.
        The validity of self-reported cancer diagnoses and factors associated with accurate reporting in a cohort of older Australian women.
        Cancer Epidemiol. 2011; 35https://doi.org/10.1016/j.canep.2011.02.005
        • Parkinson L.
        • Curryer C.
        • Gibberd A.
        • Cunich M.
        • Byles J.E.
        Good agreement between self-report and centralized hospitalizations data for arthritis-related surgeries.
        J. Clin. Epidemiol. 2013; https://doi.org/10.1016/j.jclinepi.2013.04.012
        • Navin Cristina T.J.
        • Stewart Williams J.A.
        • Parkinson L.
        • Sibbritt D.W.
        • Byles J.E.
        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; https://doi.org/10.1111/ggi.12442