Risk of developing multimorbidity across all ages in an historical cohort study: Differences by sex and ethnicity

Jennifer L. St Sauver, Cynthia M. Boyd, Brandon R. Grossardt, William V. Bobo, Lila J.Finney Rutten, Véronique L. Roger, Jon O. Ebbert, Terry M. Therneau, Barbara P. Yawn, Walter A. Rocca

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91 Scopus citations


Objective: To study the incidence of de novo multimorbidity across all ages in a geographically defined population with an emphasis on sex and ethnic differences. Design: Historical cohort study. Setting: All persons residing in Olmsted County, Minnesota, USA on 1 January 2000 who had granted permission for their records to be used for research (n=123 716). Participants: We used the Rochester Epidemiology Project medical records-linkage system to identify all of the county residents. We identified and removed from the cohort all persons who had developed multimorbidity before 1 January 2000 (baseline date), and we followed the cohort over 14 years (1 January 2000 through 31 December 2013). Main outcome measures: Incident multimorbidity was defined as the development of the second of 2 conditions (dyads) from among the 20 chronic conditions selected by the US Department of Health and Human Services. We also studied the incidence of the third of 3 conditions (triads) from among the 20 chronic conditions. Results: The incidence of multimorbidity increased steeply with older age; however, the number of people with incident multimorbidity was substantially greater in people younger than 65 years compared to people age 65 years or older (28 378 vs 6214). The overall risk was similar in men and women; however, the combinations of conditions (dyads and triads) differed extensively by age and by sex. Compared to Whites, the incidence of multimorbidity was higher in Blacks and lower in Asians. Conclusions: The risk of developing de novo multimorbidity increases steeply with older age, varies by ethnicity and is similar in men and women overall. However, as expected, the combinations of conditions vary extensively by age and sex. These data represent an important first step toward identifying the causes and the consequences of multimorbidity.

Original languageEnglish (US)
Article number006413
JournalBMJ open
Issue number2
StatePublished - 2015

ASJC Scopus subject areas

  • General Medicine


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