Evidence map›Paper›PMID 29438556›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2019

Physical Performance Trajectories and Mortality Among Older Mexican Americans.

Miriam Mutambudzi, Nai-Wei Chen, Bret Howrey, Marc A Garcia, Kyriakos S Markides

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 40 citations in OpenAlex.

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  17. Distinct Trajectories of Individual Physical Performance Measures Across 9 Years in 60- to 70-Year-Old Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Miriam MutambudziGlobal Health Institute, Department of Epidemiology and Social Medicine, Faculty of Medicine and Health Sciences, University of Antwerp, Belgium.
Nai-Wei ChenDepartment of Preventive Medicine and Community Health, Galveston.
Bret HowreyDepartment of Family Medicine, Galveston.
Marc A GarciaSealy Center on Aging, University of Texas Medical Branch, Galveston.
Kyriakos S MarkidesDepartment of Preventive Medicine and Community Health, Galveston.
Galveston College · USThe University of Texas Medical Branch at Galveston · USUniversity of Antwerp · BE

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
LONGITUDINAL STUDY OF MEXICAN AMERICAN ELDERLY HEALTHR01AG010939 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI MARKIDES, KYRIAKOS S · 1992 to 2022
$14.6M
HEALTH OF OLDER MINORITIEST32AG000270 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI Brian Gregory Downer, NEIL MEHTA · 1999 to 2026
$5.2M
The Texas Resource Center on Minority Aging Research (RCMAR)P30AG059301 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Kyriakos S Markides, Fernando Riosmena · 2018 to 2026
$5.2M
NIA NIH HHS P30 AG024832NIA NIH HHS P30 AG059301NIA NIH HHS R01 AG010939NIA NIH HHS T32 AG000270
6 · The paper itself

Abstract

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.

Indexed as

Health StatusMexican AmericansAgedAged, 80 and overAgingChronic DiseaseDisease ProgressionFemaleFollow-Up StudiesGeriatric AssessmentHumansMalePhysical Functional PerformanceRetrospective StudiesRisk FactorsSurvival Rate

Identifiers

PMID29438556
PMCPMC6333933
OpenAlexW2791257054

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.