Cited by 69Chronic Disease Management StrategiesPharmaceutical Practices and Patient OutcomesPrimary Care and Health Outcomes

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Beyond the grey tsunami: a cross-sectional population-based study of multimorbidity in Ontario

Open access

Abstract

Objectives To determine volumes and rates of multimorbidity in Ontario by age group, sex, material deprivation, and geography. Methods A cross-sectional population-based study was completed using linked provincial health administrative databases. Ontario residents were classified as having multimorbidity (3+ chronic conditions) or not, based on the presence of 17 chronic conditions. The volumes (number of residents) of multimorbidity were determined by age categories in addition to crude and age-sex standardized rates. Results Among the 2013 Ontario population, 15.2% had multimorbidity. Multimorbidity rates increased across successively older age groups with lowest rates observed in youngest (0-17 years, 0.2%) and highest rates in the oldest (80+ years, 73.5%). The rate of multimorbidity increased gradually from ages 0 to 44 years, with a substantial and graded increase in the rates as the population aged. The top five chronic conditions, of the 17 examined, among those with multimorbidity were mood disorders, hypertensive disorders, asthma, arthritis, and diabetes. Conclusion Much of the common rhetoric around multimorbidity concerns the aging 'grey tsunami'. This study demonstrated that the volume of multimorbidity is derived from adults beginning as young as age 35 years old. A focus only on the old underestimates the absolute burden of multimorbidity on the health care system. It can mask the association of material deprivation and geography with multimorbidity which can turn our attention away from two critical issues: (1) potential inequality in health and health care in Ontario and (2) preventing younger and middle-aged people from moving into the multimorbidity category.

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Crossref · 10.17269/s41997-018-0103-0

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Research works printed but not linked: 13

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  3. Durbin, A., Moineddin, R., Lin, E., Steele, L. S., & Glazer, R. H. (2015). Examining the relationship between neighbourhood deprivation and mental health service use of immigrants in Ontario, Canada: a cross-sectional study. BMJ Open, 5, e006690. https://doi.org/10.1136/bmjopen-2014-006690 . · DOI
  4. Fortin, M., Hudon, C., Haggerty, J., Akker, M., & Almirall, J. (2010). Prevalence estimates of multimorbidity: a comparative study of two sources. BMC Health Services Research, 10(1), 111. · DOI
  5. Fortin, M., et al. (2012). A systematic review of prevalence studies on multimorbidity: toward a more uniform methodology. Annals of Family Medicine, 10, 142–151. · DOI
  6. Fortin, M., Almirall, J., & Nicholson, K. (2017). Development of a research tool to document self-reported chronic conditions in primary care. Journal of Comorbidity, 7(1), 117–123. · DOI
  7. Fung, K. Y., Luginaah, I. N., & Gorey, K. M. (2007). Impact of air pollution on hospital admissions in southwestern Ontario, Canada: generating hypotheses in sentinel high-exposure places. Environ Health, 6, 18. https://doi.org/10.1186/1476-069X-6-18 . · DOI
  8. Holzer BM, Siebenhuener K, Bopp M, Minder CE. (2014). Overcoming cut-off restrictions in multimorbidity prevalence estimates. BMC Public Health, 14: 780. http://www.biomedcentral.com/1471-2458/14/780 .
  9. Kiran, T., Kopp, A., Moineddin, R., & Glazier, R. H. (2015). Longitudinal evaluation of physician payment reform and team-based care for chronic disease management and prevention. CMAJ, 187(17), E494–E502. · DOI
  10. Kiran, T., Kopp, A., & Glazier, R. H. (2016). Those left behind from voluntary medical home reforms in Ontario, Canada. Annals of Family Medicine, 14(6), 517–525. · DOI
  11. Koné Pefoyo, A. J., Bronskill, S. E., Gruneir, A., Calzavara, A., Thavorn, K., Petrosyan, Y., et al. (2015). The increasing burden and complexity of multimorbidity. BMC Public Health, 15, 415. https://doi.org/10.1186/s12889-015-1733-2 . · DOI
  12. Matheson, F. I., Dunn, J. R., Smith, K. L. W., Moineddin, R., & Glazier, R. H. (2012). Development of the Canadian Marginalization Index: a new tool for the study of inequality. Canadian Journal of Public Health, 103(Suppl. 2), S12–S16. · DOI
  13. van den Akker, M., Buntinx, F., Roos, S., & Knottnerus, J. A. (2001). Problems in determining occurrence rates of multimorbidity. Journal of Clinical Epidemiology, 54(7), 675–679. · DOI

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Metadata

Authors
Ryan, B. L., Bray Jenkyn, K., Shariff, S. Z., Allen, B., Glazier, R. H., Zwarenstein, M., Fortin, M., & Stewart, M.
Affiliations
  • Western University (CA)
  • Institute for Clinical Evaluative Sciences (CA)
  • St. Michael's Hospital (CA)
  • Université de Sherbrooke (CA)
Corresponding author
Ryan, Bridget L.
Venue
Canadian Journal of Public Health
Published
2018-07-18
Volume
109
Issue
5-6
Pages
845-854
ISSN
  • 0008-4263 (ISSN-L)
  • 1920-7476
OpenAlex
W2882997914
Cited by
69
References
3
Citations by year
2026: 9 · 2025: 7 · 2024: 11 · 2023: 10 · 2022: 8 · 2021: 13 · 2020: 7 · 2019: 3 · 2018: 1
FWCI
4.68
Type
journal article
Language
en
Open access
Locations
  • Canadian Journal of Public Health (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Scholarship@Western (Western University) (submittedVersion)
Funders
Department of Family Medicine, Schulich School of Medicine and Dentistry (None)
Topics
  • Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
  • Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
  • Health Sciences › Medicine › Family Practice › Primary Care and Health Outcomes
Keywords
multimorbidity, chronic disease, multimorbidity prevalence, age differences, sex differences, material deprivation, regional variation, health disparities, mood disorders, hypertension, asthma, arthritis, diabetes mellitus, Ontario
MeSH terms
Multimorbidity, Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Chronic Disease, Cross-Sectional Studies, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Ontario, Socioeconomic Factors, Young Adult

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