Featured Publications
Are China’s oldest-old living longer with less disability? A longitudinal modeling analysis of birth cohorts born 10 years apart
Liu Z, Han L, Feng Q, Dupre ME, Gu D, Allore HG, Gill TM, Payne CF. Are China’s oldest-old living longer with less disability? A longitudinal modeling analysis of birth cohorts born 10 years apart. BMC Medicine 2019, 17: 23. PMID: 30704529, PMCID: PMC6357399, DOI: 10.1186/s12916-019-1259-z.Peer-Reviewed Original ResearchMeSH KeywordsAged, 80 and overAsian PeopleChinaCohort StudiesDisability EvaluationDisabled PersonsFemaleHealth Status DisparitiesHumansLife ExpectancyLongevityMaleConceptsPartial life expectancyLess disabilityBirth cohortOldest old livingLife expectancyAge groupsHigher healthcare costsDisability-free life expectancySuccessive birth cohortsOldest-old individualsOctogenarian womenMultistate life tablesSubgroup analysisAge 80Healthcare costsRural residenceUrban-rural disparitiesOctogenariansCohortHealth inequalitiesPersonal assistanceDisability transitionsDisabilityNonagenariansSociodemographic heterogeneity
2019
Prevalence and Patterns of Multimorbidity in a Nationally Representative Sample of Older Chinese: Results From the China Health and Retirement Longitudinal Study
Yao SS, Cao GY, Han L, Chen ZS, Huang ZT, Gong P, Hu Y, Xu B. Prevalence and Patterns of Multimorbidity in a Nationally Representative Sample of Older Chinese: Results From the China Health and Retirement Longitudinal Study. The Journals Of Gerontology Series A 2019, 75: 1974-1980. PMID: 31406983, DOI: 10.1093/gerona/glz185.Peer-Reviewed Original ResearchMeSH KeywordsAgedChinaFemaleHealth Status DisparitiesHumansLongitudinal StudiesMaleMiddle AgedMultimorbidityPrevalenceRetirementConceptsPatterns of multimorbidityPrevalence of multimorbidityMultimorbidity patternsRetirement Longitudinal StudyOlder ChineseChina HealthPopulation-based studyDemographic characteristicsIndividual chronic diseasesLongitudinal studyCommon multimorbidity patternsLogistic regression modelsParticipants' demographic characteristicsNationally Representative SampleEntire cohortPotential confoundersChronic diseasesRepresentative sampleMultimorbidityAlcohol consumptionMemory-related diseasesUrban-rural differencesPrevalenceInterventional implicationsResidential region