Evidence map›Paper›PMID 36131230›Full record

ArticleBMC geriatrics2022

Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment.

Emma Zang, Xueqing Wang, Yu Shi, Bei Wu, Terri R Fried

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Incomplete Ascertainment of Mortality in a Nationally Representative Longitudinal Study of Community-Living Older Americans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  4. Article
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 1 country.

Emma ZangDepartment of Sociology, Yale University, New Haven, CT, 06520, USA. emma.zang@yale.edu.
Xueqing WangOffice of Population Research, Princeton University, Princeton, NJ, 08540, USA.
Yu ShiDepartment of Biostatistics, Yale University, New Haven, CT, 06520, USA.
Bei WuRory Meyers College of Nursing, New York University, New York, NY, 10010, USA.
Terri R FriedVeterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA.
Yale University · USNew York University · USPrinceton Public Schools · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
A Multifactorial Approach to Evaluating Disparities in Outcomes after Major Surgery in Disadvantaged Older PersonsR01MD017298 · NIMHD · YALE UNIVERSITY · PI BECHER, ROBERT DAVID, GILL, THOMAS MICHAEL · 2022 to 2025
$2.6M
Pathways from co-occurrence of poor oral health and diabetes to Alzheimer's disease and related dementia (ADRD) and mortalityR56AG067619 · NIA · NEW YORK UNIVERSITY · PI LUO, HUABIN, WU, BEI · 2020 to 2020
$519k
Linked Lives, Linked Health: Health Trajectories of Persons with Cognitive Impairment and Their Caregivers' HealthR21AG074238 · NIA · YALE UNIVERSITY · PI ZANG, EMMA · 2021 to 2022
$473k
NCATS NIH HHS UL1 TR001863NIA NIH HHS P30 AG021342NIA NIH HHS R21 AG074238NIA NIH HHS R56 AG067619NIMHD NIH HHS R01 MD017298
6 · The paper itself

Abstract

backgroundThe concern posed by the confluence of aging and cognitive impairment is growing in importance as the U.S. population rapidly ages. As such, we sought to examine the predictive power of physical functioning (PF) and general health status (GHS) trajectories on mortality outcomes among persons with cognitive impairment (PCIs).

methodsWe used group-based trajectory models to identify latent group memberships for PF trajectories in 1,641 PCIs and GHS trajectories in 2,021 PCIs from the National Health and Aging Trends Survey (2011-2018) and applied logistic regressions to predict mortality using these memberships controlling for individual characteristics.

resultsWe identified six trajectory groups for PF and four groups for GHS. Trajectory group memberships for both outcomes significantly predicted mortality. For PF, group memberships largely captured the average levels over time, and worse trajectories (i.e., lower baselines and faster declines) were associated with higher odds of death. The highest mortality risk was associated with the group experiencing a sharp decline early in its PF trajectory, although its average level across time was not the lowest. For GHS, we observed two groups with comparable average levels across time, but the one with a convex-shape trajectory had much higher mortality risks compared to the one with a concave-shape trajectory.

conclusionsOur findings highlighted that health trajectories predicted mortality among PCIs, not only because of general levels but also because of the shapes of declines. Close monitoring health deterioration of PCIs is crucial to understand the health burden of this population and to make subsequent actions.

Indexed as

Cognitive DysfunctionHealth StatusAgingHumansLogistic ModelsLongitudinal StudiesSurveys and QuestionnairesCognitive agingHealth trajectoryMortalityPhysical functioning

Identifiers

PMID36131230
PMCPMC9494770
OpenAlexW4296558817

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.