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Multimorbidity patterns across race/ethnicity as stratified by age and obesity.


ABSTRACT: The objective of our study is to assess differences in prevalence of multimorbidity by race/ethnicity. We applied the FP-growth algorithm on middle-aged and elderly cohorts stratified by race/ethnicity, age, and obesity level. We used 2016-2017 data from the Cerner HealthFacts electronic health record data warehouse. We identified disease combinations that are shared by all races/ethnicities, those shared by some, and those that are unique to one group for each age/obesity level. Our findings demonstrate that even after stratifying by age and obesity, there are differences in multimorbidity prevalence across races/ethnicities. There are multimorbidity combinations distinct to some racial groups-many of which are understudied. Some multimorbidities are shared by some but not all races/ethnicities. African Americans presented with the most distinct multimorbidities at an earlier age. The identification of prevalent multimorbidity combinations amongst subpopulations provides information specific to their unique clinical needs.

SUBMITTER: Alshakhs M 

PROVIDER: S-EPMC9188579 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Multimorbidity patterns across race/ethnicity as stratified by age and obesity.

Alshakhs Manal M   Jackson Bianca B   Ikponmwosa Davina D   Reynolds Rebecca R   Madlock-Brown Charisse C  

Scientific reports 20220611 1


The objective of our study is to assess differences in prevalence of multimorbidity by race/ethnicity. We applied the FP-growth algorithm on middle-aged and elderly cohorts stratified by race/ethnicity, age, and obesity level. We used 2016-2017 data from the Cerner HealthFacts electronic health record data warehouse. We identified disease combinations that are shared by all races/ethnicities, those shared by some, and those that are unique to one group for each age/obesity level. Our findings de  ...[more]

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