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 accessAbstract
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The prevalence of both overweight and obesity among women of childbearing age is increasing substantially in most countries.
“Since the prevalence of both overweight and obesity among women of childbearing age is increasing substantially in most countries (between 30% in some European countries and nearly 50% in the USA), it is to be expected that a further growing number of women of reproductive age will be treated with GLP1-RA.2–4”
As of 2018, an increasing number of women have used GLP1-RA for weight loss.
“As of 2018, an increasing number of women have used GLP1-RA for weight loss (see online supplemental figure 1).4”
Citations
Cites
Barnett, K., Mercer, S. W., Norbury, M., Watt, G., Wyke, S., & Guthrie, B. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60240-2 · Cited by 6,972
Benchimol, E. I., Smeeth, L., Guttmann, A., Harron, K., Moher, D., Petersen, I., Sørensen, H. T., von Elm, E., Langan, S. M., & RECORD Working Committee (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001885 · Cited by 5,749
Violan, C., Foguet-Boreu, Q., Flores-Mateo, G., Salisbury, C., Blom, J., Freitag, M., Glynn, L., Muth, C., & Valderas, J. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102149 · Cited by 1,125
Flagged first, then by citations
Research works printed but not linked: 13
- Boyd, C. M., & Fortin, M. (2010). Future of multimorbidity research: how should understanding of multimorbidity inform health system design? Public Health Review, 32, 451–474. · DOI
- Brady, T. J., Anderson, L. A., & Kobau, R. (2015). Chronic disease self-management support: public health perspectives. Front Public Health, 2(Article 234), 1–5.
- 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
- 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
- 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
- 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
- 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
- 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 .
- 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
- 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
- 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
- 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
- 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
Cited by
Sorted by citations
Dao, K., Shechtman, S., Weber-Schoendorfer, C., Diav-Citrin, O., Murad, R. H., Berlin, M., Hazan, A., Richardson, J. L., Eleftheriou, G., Rousson, V., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-083550 · Cited by 110
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.
- ORCID
- 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
- PMC
- PMC6964436
- 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
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review