Physical Performance Trajectories and Mortality Among Older Mexican Americans.

Background: We sought to identify distinct trajectory classes of physical performance in Mexican Americans aged 75 years and older and to examine whether these trajectories predict mortality.Methods: We used four waves of Hispanic Established Populations for Epidemiologic Studies of the Elderly (H-E...

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Publicado en:Journals of Gerontology Series A: Biological Sciences & Medical Sciences Vol. 74; no. 2; pp. 233 - 240
Autores principales: Mutambudzi, Miriam, Chen, Nai-Wei, Howrey, Bret, Garcia, Marc A, Markides, Kyriakos S
Formato: research Journal Article
Publicado: Oxford University Press / USA Feb2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2019
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      pub: Oxford University Press / USA
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        atl: Physical Performance Trajectories and Mortality Among Older Mexican Americans.
      aug:
        au:
          Mutambudzi, Miriam
          Chen, Nai-Wei
          Howrey, Bret
          Garcia, Marc A
          Markides, Kyriakos S
        affil: Global Health Institute, Department of Epidemiology and Social Medicine, Faculty of Medicine and Health Sciences, University of Antwerp, BelgiumDepartment of Preventive Medicine and Community Health, Galveston
      sug:
        subj:
          Chronic Disease Mortality
          Health Status
          Aging
          Hispanic Americans
          Geriatric Assessment Methods
          United States
          Risk Factors
          Retrospective Design
          Human
          Aged, 80 and Over
          Aged
          Female
          Survival Trends
          Male
          Prospective Studies
          Disease Progression
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Aged, 80 & over
          Aged: 65+ years
          Female
          Male
      ab: Background: We sought to identify distinct trajectory classes of physical performance in Mexican Americans aged 75 years and older and to examine whether these trajectories predict mortality.Methods: We used four waves of Hispanic Established Populations for Epidemiologic Studies of the Elderly (H-EPESE) data for adults 75 years and older from 2004-2005 to 2013. Latent growth curve analysis was used to identify distinct trajectory classes. Multinomial logistic regression analysis was used to examine the association between baseline characteristics and the newly constructed trajectories. Cox proportional hazards regression models examined the hazard of mortality as a function of Short Physical Performance Battery (SPPB) trajectories.Results: The study follow-up period was approximately 9.5 years. One thousand four hundred and eleven adults were successfully classified into three (low-declining, high-declining, and high-stable) physical performance trajectory classes. Depressive symptoms (relative risk ratio = 1.94, 95% confidence interval [CI] = 1.17-3.22), diabetes (relative risk ratio = 2.44, 95% CI = 1.63-3.65), number of other comorbid health conditions (relative risk ratio = 1.40, 95% CI = 1.16-1.68), and obesity (relative risk ratio = 2.83, 95% CI = 1.67-4.80), increased the relative risk of classification into the low, relative to high-stable trajectory class. Male gender and foreign-born status significantly reduced risk of classification in the low-declining and high-declining trajectory classes. We observed a statistically significant association between low-declining (hazard ratio = 3.01, 95% CI = 2.34-3. 87) and high-declining (hazard ratio = 1.64, 95% CI = 1.32-2.03) trajectories and increased risk of mortality.Conclusions: Differences in mortality across physical performance trajectory classes suggest that these physical performance classes represent differences in underlying disease progression, and thus differences in mortality risk among older Mexican Americans, which warrants additional research to better understand differential physical performance trajectories and their effects on morbidity and mortality in heterogeneous aging populations.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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