2025
[Association between dietary behavior and sarcopenia in older adults aged 65 years and above in longevity areas of China: a latent class analysis].
Zhao Y, Zhang Z, Wang J, Zhou J, Chen H, Qi L, Li Y, Chen Y, Meng X, Zhang Z, Chen C, Shi X, Lyu Y, Shi W. [Association between dietary behavior and sarcopenia in older adults aged 65 years and above in longevity areas of China: a latent class analysis]. Chinese Journal Of Epidemiology 2025, 46: 746-752. PMID: 40494780, DOI: 10.3760/cma.j.cn112338-20241117-00729.Peer-Reviewed Original ResearchConceptsDietary behaviorsOlder adultsCategory scoresLatent class analysisDietary intakeFood intake frequencyRisk of sarcopeniaIncreased riskBalanced dietary patternFood frequency questionnaireIntake of cerealsMultivariate logistic regression modelChronic disease historyNon-sarcopenia groupLogistic regression modelsClass analysisIntake categoriesSARC-CalF.Frequency questionnaireBiomarkers Cohort StudyIntake frequencyDietary patternsSarcopenia groupCohort studyLongevity areas[Association between physical activity and cognitive impairment in older adults aged 65 years and above in longevity areas of China].
Xu H, Wu Y, Chen C, Meng X, Chen J, Zhang Z, Zhong Z, Yang J, Fu X, Chen S, Chen Y, Li Z, Ye L, Shi X, Lyu Y. [Association between physical activity and cognitive impairment in older adults aged 65 years and above in longevity areas of China]. Chinese Journal Of Epidemiology 2025, 46: 753-760. PMID: 40494781, DOI: 10.3760/cma.j.cn112338-20250124-00060.Peer-Reviewed Original ResearchConceptsLevels of physical activityPhysical activityOlder adultsCognitive impairmentIntensity levels of physical activityIntensity of physical activityPhysical Activity ScaleChronic disease historyWork-related activitiesMultifactorial logistic regression modelsLogistic regression modelsMini-MentalBiomarkers Cohort StudyChinese versionActivity ScaleActive leisureCohort studyLongevity areasDemographic characteristicsHealthy agingDisease historyHousehold activitiesRegression modelsCognitive functionNegative association[Association between dietary behavior and type 2 diabetes in the older adults aged 65 years and over in 18 longevity areas of China].
Hu X, Chen Y, Zhang Z, Chen C, Qu Y, Meng X, Wang J, Xu Z, Li Z, Liu S, Shi W, Xue Z, Long F, Shi X, Lyu Y. [Association between dietary behavior and type 2 diabetes in the older adults aged 65 years and over in 18 longevity areas of China]. Chinese Preventive Medicine 2025, 59: 588-596. PMID: 40374347, DOI: 10.3760/cma.j.cn112150-20241231-01064.Peer-Reviewed Original ResearchConceptsPlant-based diet indexRisk of T2DMAssociated with T2DMMultivariate logistic regressionLongevity areasDiet indexOlder adultsPrevalence rates of T2DMSelf-health statusLogistic regressionFood intake frequencyRate of T2DMDietary behaviorsFood frequencyBiomarkers Cohort StudyIntake frequencyHigher adherenceType 2 diabetes mellitusFasting venous bloodHigh-level groupCohort studyLow-level groupPrevalence ratesDemographic characteristicsDaily activities
2024
[Association of urinary cadmium level with body mass index and body circumferences among older adults over 65 years old in 9 longevity areas of China].
Zhang Z, Wu B, Qu Y, Li Y, Xu L, Lyu C, Chen C, Wang J, Xue K, Wei Y, Zhou J, Zheng X, Qiu Y, Luo Y, Liu J, Lyu Y, Shi X. [Association of urinary cadmium level with body mass index and body circumferences among older adults over 65 years old in 9 longevity areas of China]. Chinese Preventive Medicine 2024, 58: 227-234. PMID: 38387955, DOI: 10.3760/cma.j.cn112150-20230912-00181.Peer-Reviewed Original ResearchConceptsBody mass indexWaist circumferenceHip circumferenceCalf circumferenceOlder adultsBody circumferencesLongevity areasUrinary cadmium levelsLinear regression modelsMultiple linear regression modelUrinary cadmium concentrationCadmium levelsUrinary cadmiumAssociated with decreased BMIChange of body mass indexCadmium concentrationsRegression modelsSocio-demographic characteristicsRestricted cubic spline curvesRestricted cubic splinesAge of subjectsBiomarkers Cohort StudyHealth statusNegative linear associationWaistSerum 25-Hydroxyvitamin D and Risk of Disability in Activities of Daily Living among the Oldest-Old: An Observational and Mendelian Randomization Study
Li X, Chen C, Zhang Y, Wang J, Cui X, Xu L, Zhou J, Deng L, Zhang M, Lv Y, Yu Q, Shi X. Serum 25-Hydroxyvitamin D and Risk of Disability in Activities of Daily Living among the Oldest-Old: An Observational and Mendelian Randomization Study. Journal Of Nutrition 2024, 154: 1004-1013. PMID: 38246357, DOI: 10.1016/j.tjnut.2024.01.016.Peer-Reviewed Original ResearchActivities of daily livingRisk of disabilityChinese oldest-oldOldest-oldMendelian randomizationDaily livingRisk of ADL disabilityActivities of daily living statusIncidence of physical disabilityBaseline ADL statusSample Mendelian randomizationMendelian randomization studiesGenetic risk scoreInverse causal relationshipPoor health conditionsFollow-up interviewsADL disabilityGenetic instrumentsMR analysisADL statusNonlinear MRSerum 25-hydroxyvitamin DBiomarkers Cohort StudyOlder adultsHealth conditions[Association of sleep duration and physical exercise with dyslipidemia in older adults aged 80 years and over in China].
Wu B, Li Y, Xu L, Zhang Z, Zhou J, Wei Y, Chen C, Wang J, Wu C, Li Z, Hu Z, Long F, Wu Y, Hu X, Li K, Li F, Luo Y, Liu Y, Lyu Y, Shi X. [Association of sleep duration and physical exercise with dyslipidemia in older adults aged 80 years and over in China]. Chinese Journal Of Epidemiology 2024, 45: 48-55. PMID: 38228524, DOI: 10.3760/cma.j.cn112338-20231007-00207.Peer-Reviewed Original ResearchConceptsRestricted cubic splinesPhysical exerciseSleep durationPerson yearsDose-response relationshipAssociation of sleep durationPositive dose-response relationshipImpact of sleep durationBlood lipid testRisk of dyslipidemiaAverage sleep durationRestricted cubic spline functionsCompeting risk modelBaseline surveyBiomarkers Cohort StudyCases of dyslipidemiaLipid testingFasting venous blood samplesInteraction of sleep durationCohort studyExerciseCompetitive risk model analysisDemographic characteristicsIncidence densityStudy subjects
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