Journal article
Multimorbidity patterns across race/ethnicity as stratified by age and obesity
Scientific reports, Vol.12(1), pp.9716-9716
06/11/2022
DOI: 10.1038/s41598-022-13733-w
PMCID: PMC9188579
PMID: 35690677
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.
Details
- Title: Subtitle
- Multimorbidity patterns across race/ethnicity as stratified by age and obesity
- Creators
- Manal Alshakhs - University of Tennessee Health Science CenterBianca Jackson - University of Tennessee Health Science CenterDavina Ikponmwosa - University of Tennessee Health Science CenterRebecca Reynolds - University of Tennessee Health Science CenterCharisse Madlock-Brown - University of Tennessee Health Science Center
- Resource Type
- Journal article
- Publication Details
- Scientific reports, Vol.12(1), pp.9716-9716
- DOI
- 10.1038/s41598-022-13733-w
- PMID
- 35690677
- PMCID
- PMC9188579
- NLM abbreviation
- Sci Rep
- ISSN
- 2045-2322
- eISSN
- 2045-2322
- Grant note
- R15AG067232 / NIA NIH HHS
- Language
- English
- Date published
- 06/11/2022
- Academic Unit
- Nursing
- Record Identifier
- 9984446740802771
Metrics
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