The extent and burden of high multimorbidity on older adults in the US: a descriptive analysis of Medicare beneficiaries
Dorr D, Markwardt S, Bobo M, Allore H, Botoseneanu A, Newsom J, Nagel C, Quiñones A. The extent and burden of high multimorbidity on older adults in the US: a descriptive analysis of Medicare beneficiaries. BMC Geriatrics 2024, 24: 777. PMID: 39304796, PMCID: PMC11414248, DOI: 10.1186/s12877-024-05329-y.Peer-Reviewed Original ResearchConceptsHigh multimorbidityMultimorbidity levelOlder adultsHigher levels of multimorbidityHealth and Retirement Study dataAssociated with sociodemographic characteristicsWell-being of older adultsLevels of multimorbidityProgression of multimorbidityImpact of multimorbidityBurden of multimorbidityHigher healthcare utilizationRetirement Study dataYounger birth cohortsMultimorbidity groupsHealthcare utilizationLower educationNon-HispanicMultimorbiditySociodemographic characteristicsMedicare beneficiariesSocioeconomic statusHealth indicatorsBirth cohortChronic diseasesMultimorbidity and associated informal care receiving characteristics for US older adults: a latent class analysis
Liu R, Nagel C, Chen S, Newsom J, Allore H, Quiñones A. Multimorbidity and associated informal care receiving characteristics for US older adults: a latent class analysis. BMC Geriatrics 2024, 24: 571. PMID: 38956501, PMCID: PMC11221032, DOI: 10.1186/s12877-024-05158-z.Peer-Reviewed Original ResearchConceptsNational Health and Aging Trends StudyMultimorbidity patternsCare needsOlder adultsSelf-careInformal careLatent class analysisCare receiver characteristicsCombinations of multimorbidityPerson-centered carePatterns of multimorbidityDifferential care needsUS older adultsAssociated with lower oddsAssociated with higher oddsGroup of older adultsMultinomial logistic regression modelModerate cognitive impairmentClass analysisLogistic regression modelsInformal caregiversBackgroundOlder adultsCare recipientsMultimorbidity groupsChronic conditions