Examining early and late onset of multimorbidity in the Canadian Longitudinal Study on Aging.

Kathryn Nicholson, Lauren E Griffith, Nazmul Sohel, Parminder Raina
Author Information
  1. Kathryn Nicholson: Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
  2. Lauren E Griffith: Department of Health Research Methods, Evidence, and Impact, McMaster Institute for Research on Aging, Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada. ORCID
  3. Nazmul Sohel: Department of Health Research Methods, Evidence, and Impact, McMaster Institute for Research on Aging, Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada.
  4. Parminder Raina: Department of Health Research Methods, Evidence, and Impact, McMaster Institute for Research on Aging, Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada.

Abstract

BACKGROUND/OBJECTIVES: The study objective was to understand characteristics and health outcomes of multimorbidity, distinguishing between multimorbidity onset in earlier and later phases of life among community-dwelling older adults in Canada.
DESIGN: A cross-sectional analysis was conducted using baseline data from the Canadian Longitudinal Study on Aging (CLSA).
SETTING AND PARTICIPANTS: This analysis included 11,161 older adults who were between the ages of 65 and 85 years at baseline and who were living in community-based settings.
MEASUREMENTS: Multimorbidity was defined using two cutpoints: two or more chronic conditions (MM2+) and three or more chronic conditions (MM3+). After calculating the age of diagnosis for eligible participants, "early multimorbidity" was defined as multiple chronic conditions diagnosed before 45 years of age, while "late multimorbidity" was defined as multiple chronic conditions diagnosed at or after 45 years of age. The five health outcomes explored were physical disability, social limitation, frailty level, perceived general health status, and perceived mental health status.
RESULTS: Overall, the prevalence of MM2+ was 75.3% (95% CI: 74.3, 76.1) and the prevalence of MM3+ was 47.0% (95% CI: 46.0, 48.0). The majority of participants (both females and males) living with multimorbidity were categorized with late multimorbidity. Participants with early multimorbidity or both early and late multimorbidity had increased odds of physical disability, social limitation, increased frailty level, and negative perceived general and mental health. These patterns were detected for both MM2+ and MM3+.
CONCLUSION: This study examined the impact of the timing of multimorbidity onset on five health outcomes. Our findings highlight the importance of clinical and public health interventions to prevent and manage the causes and consequences of multimorbidity, with particular focus on age of onset. Future longitudinal research should be done to further articulate the relationships between multimorbidity and these health outcomes over time.

Keywords

References

  1. Xu X, Mishra GD, Jones M. Mapping the global research landscape and knowledge gaps on multimorbidity: a bibliometric study. J Glob Health. 2017;7(1):010414.
  2. Garin N, Koyanagi A, Chatterji S, et al. Global multimorbidity patterns: a cross-sectional, population-based, multi-country study. J Gerontol A Biol Sci Med Sci. 2016;71(2):205-214.
  3. Afshar S, Roderick PJ, Kowal P, Dimitrov BD, Hill AG. Multimorbidity and the inequalities of global ageing: a cross-sectional study of 28 countries using the world health surveys. BMC Public Health. 2015;15:776-786.
  4. Roberts KC, Rao DP, Bennett TL, Loukine L, Jayaraman GC. Prevalence and patterns of chronic disease multimorbidity and associated determinants in Canada. Health Promot Chronic Dis Prev Can. 2015;35(6):87-94.
  5. Academy of Medical Sciences. Multimorbidity: A Priority for Global Health Research. London: Academy of Medical Sciences; 2018.
  6. Kanesarajah J, Waller M, Whitty JA, Mishra GD. Multimorbidity and quality of life at mid-life: a systematic review of general population studies. Maturitas. 2018;109:53-62.
  7. Vetrano DL, Calderón-Larrañaga A, Marengoni A, et al. An international perspective on chronic multimorbidity: approaching the elephant in the room. J Gerontol A Biol Sci Med Sci. 2018;73(10):1350-1356.
  8. Catalá-López F, Alonso-Arroyo A, Page MJ, Hutton B, Tabarés-Seisdedos R, Aleixandre-Benavent R. Mapping of global scientific research in comorbidity and multimorbidity: a cross-sectional analysis. PLoS One. 2018;13(1):e0189091.
  9. Mercer S, Salisbury C, Fortin M. ABC of Multimorbidity. London: BMJ Books; 2014.
  10. Gill A, Kuluski K, Jaakkimainen L, Naganathan G, Upshur R, Wodchis WP. “Where do we go from here?” Health system frustrations expressed by patients with multimorbidity, their caregivers and family physicians. Healthc Policy. 2014;9(4):73-89.
  11. Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Health-related quality of life and healthcare utilization in multimorbidity: results of a cross-sectional survey. Qual Life Res. 2013;22:791-799.
  12. Rosbach M, Andersen JS. Patient-experienced burden of treatment in patients with multimorbidity - a systematic review of qualitative data. PLoS One. 2017;12(6):e0179916-e0179934.
  13. Panagioti M, Stokes J, Esmail A, et al. Multimorbidity and patient safety incidents in primary care: a systematic review and meta-analysis. PLoS One. 2015;10(8):e0135947-e0135977.
  14. Calderón-Larrañaga A, Poblador-Plou B, González-Rubio F, Gimeno-Feliu LA, Abad-Díez JM, Prados-Torres A. Multimorbidity, polypharmacy, referrals, and adverse drug events: are we doing things well? Br J Gen Pract. 2012;62(605):e821-e826.
  15. Fortin M, Dubois MF, Hudon C, Soubhi H, Almirall J. Multimorbidity and quality of life: a closer look. Health Qual Life Outcomes. 2007;5:52-60.
  16. Mangin D, Heath I. Multimorbidity and quaternary prevention (P4). Rev Bras Med Fam Comunidade. 2015;10(35):1-5.
  17. Lorgunpai SJ, Grammas M, Lee DS, et al. Potential therapeutic competition in community-living older adults in the U.S.: use of medications that may adversely affect a coexisting condition. PLoS One. 2014;9(2):e89447.
  18. Griffith LE, Gruneir A, Fisher K, et al. Patterns of health service use in community living older adults with dementia and comorbid conditions: a population-based retrospective cohort study in Ontario, Canada. BMC Geriatr. 2016;16(1):177-187.
  19. McPhail S. Multimorbidity in chronic disease: impact on health care resources and costs. Risk Manag Healthc Policy. 2016;9:143-156.
  20. Moffat K, Mercer SW. Challenges of managing people with multimorbidity in today's healthcare systems. BMC Fam Pract. 2015;16:129-132.
  21. Boyd CM, Fortin M. Future of multimorbidity research: how should understanding of multimorbidity inform health system design? Public Health Rev. 2010;32(2):451-474.
  22. Sasseville M, Smith SM, Freyne L, et al. Predicting poorer health outcomes in older community-dwelling patients with multimorbidity: prospective cohort study assessing the accuracy of different multimorbidity definitions. BMJ Open. 2019;9:e023919.
  23. Storeng SH, Vinjerui KH, Sund ER, Krokstad S. Associations between complex multimorbidity, activities of daily living and mortality among older Norwegians. A prospective cohort study: the HUNT study, Norway. BMC Geriatr. 2020;20:21-29.
  24. Löffler C, Kaduszkiewicz H, Stolzenbach C, et al. Coping with multimorbidity in old age - a qualitative study. BMC Fam Pract. 2012;13:45-53.
  25. Raina P, Wolfson C, Kirkland S, et al. Cohort profile: the Canadian longitudinal study on aging (CLSA). Int J Epidemiol. 2019;48(6):1752-1753j.
  26. Raina PS, Wolfson C, Kirkland SA, et al. The Canadian longitudinal study on aging (CLSA). Can J Aging. 2009;28(3):221-229.
  27. Canadian Longitudinal Study on Aging. CLSA Protocol - Full Study Design and Baseline (2008). 2019. https://www.clsa-elcv.ca/researchers#content399. Accessed May 5, 2021.
  28. Fortin M, Stewart M, Poitras M-E, Almirall J, Maddocks H. A systematic review of prevalence studies on multimorbidity: toward a more uniform methodology. Ann Fam Med. 2012;10(2):142-151.
  29. Fried LP, Ferrucci L, Darer J, et al. Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. J Gerontol A Biol Sci Med Sci. 2004;59:255-263.
  30. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56:M146-M156.
  31. Violan C, Foguet-Boreu Q, Flores-Mateo G, et al. Prevalence, determinants and patterns of multimorbidity in primary health care: a systematic review of observational studies. PLoS One. 2014;9(7):e102149-e102158.
  32. Canadian Longitudinal Study on Aging. Sampling and Computation of Response Rates and Sample Weights for the Tracking (Telephone Interview) Participants and Comprehensive Participants. 2017. https://www.clsa-elcv.ca/doc/1041. Accessed May 5, 2021.
  33. StataCorp. Stata Statistical Software: Release 14. College Station, TX; 2015.
  34. Nicholson K, Terry AL, Fortin M, Williamson T, Bauer M, Thind A. Prevalence, characteristics, and patterns of patients with multimorbidity in primary care: a retrospective cohort analysis in Canada. Br J Gen Pract. 2019;69(686):e647-e656.
  35. Sakib MN, Shooshtari S, St. John P, et al. The prevalence of multimorbidity and associations with lifestyle factors among middle-aged Canadians: an analysis of Canadian longitudinal study on aging data. BMC Public Health. 2019;19:243-256.
  36. Wister A, Cosco T, Mitchell B, Fyffe I. Health behaviors and multimorbidity resilience among older adults using the Canadian longitudinal study on aging. Int Psychogeriatr. 2020;32(1):119-133.
  37. Griffith LE, Gilsing A, Mangin D, et al. Multimorbidity frameworks impact prevalence and relationships with patient-important outcomes. J Am Geriatr Soc. 2019;67(8):1632-1640.
  38. St Sauver JL, Boyd CM, Grossardt BR, et al. Risk of developing multimorbidity across all ages in an historical cohort study: differences by sex and ethnicity. BMJ Open. 2015;5:e006413.
  39. Chamberlain AM, Finney Rutten LJ, Jacobson DJ, et al. Multimorbidity, functional limitations, and outcomes: interactions in a population-based cohort of older adults. J Comorb. 2019;9:2235042X19873486.
  40. Fortin M, Almirall J, Nicholson K. Development of a research tool to document self-reported chronic conditions in primary care. J Comorb. 2017;7(1):117-123.
  41. Diederichs C, Berger K, Bartels DB. The measurement of multiple chronic diseases: a systematic review on existing multimorbidity indices. J Gerontol A Biol Sci Med Sci. 2011;66:301-311.

Grants

  1. LSA 94473/CIHR

MeSH Term

Activities of Daily Living
Age of Onset
Aged
Aged, 80 and over
Aging
Canada
Cross-Sectional Studies
Diagnostic Self Evaluation
Disabled Persons
Female
Frailty
Humans
Independent Living
Longitudinal Studies
Male
Multimorbidity
Multiple Chronic Conditions

Word Cloud

Created with Highcharts 10.0.0multimorbidityhealthonsetchronicconditionsoutcomesagelateearlydefinedMM2+MM3+multipleperceivedstudyolderadultsanalysisusingbaselineCanadianLongitudinalStudyAgingCLSAlivingtwoparticipantsmultimorbidity"diagnosed45 yearsfivephysicaldisabilitysociallimitationfrailtylevelgeneralstatusmentalprevalence95%CI:0increasedBACKGROUND/OBJECTIVES:objectiveunderstandcharacteristicsdistinguishingearlierlaterphaseslifeamongcommunity-dwellingCanadaDESIGN:cross-sectionalconducteddataSETTINGANDPARTICIPANTS:included11161ages6585 yearscommunity-basedsettingsMEASUREMENTS:Multimorbiditycutpoints:threecalculatingdiagnosiseligible"early"lateexploredRESULTS:Overall753%743761470%4648majorityfemalesmalescategorizedParticipantsoddsnegativepatternsdetectedCONCLUSION:examinedimpacttimingfindingshighlightimportanceclinicalpublicinterventionspreventmanagecausesconsequencesparticularfocusFuturelongitudinalresearchdonearticulaterelationshipstimeExamining

Similar Articles

Cited By