Evidence map›Paper›PMID 35679612›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Natural History Trajectories of Frailty in Community-Dwelling Older Japanese Adults.

Chikako Tange, Yukiko Nishita, Makiko Tomida, Rei Otsuka, Fujiko Ando, Hiroshi Shimokata, Hidenori Arai

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

7 authors.

Chikako TangeDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Yukiko NishitaDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Makiko TomidaDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Rei OtsukaDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Fujiko AndoDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Hiroshi ShimokataDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Hidenori AraiNational Center for Geriatrics and Gerontology, Nisshin, Obu, Aichi, Japan.ORCID 0000-0001-6747-8680

Funding

Japan Society for the Promotion of Science JP17K04397National Center for Geriatrics and Gerontology
6 · The paper itself

Abstract

backgroundThe gap between the average life expectancy and healthy life expectancy remains wide. Understanding the natural history of frailty development is necessary to prevent and treat frailty to overcome this gap. This study elucidated the trajectories of 5 frailty assessment components using group-based multitrajectory modeling.

methodsOverall, 845 community-dwelling older adults (aged 65-91 years; 433 males and 412 females) who underwent longitudinal frailty assessments at least 3 times were included in the analysis. The mean follow-up period (±SD, range) was 7.1 (±2.3, 3.8-11.3) years. In each wave, the physical frailty was assessed for the following 5 partially modified components of the Cardiovascular Health Study criteria: shrinking, weakness, exhaustion, slowness, and low activity. Using group-based multitrajectory modeling, we identified subgroups that followed distinctive trajectories regarding the 5 frailty components.

resultsFive frailty trajectory groups were identified: weakness-focused frail progression group (Group 1 [G1]; 10.9%), robust maintenance group (Group 2 [G2]; 43.7%), exhaustion-focused prefrail group (Group 3 [G3]; 24.3%), frail progression group (Group 4 [G4]; 6.7%), and low activity-focused prefrail group (Group 5 [G5]; 14.4%). The Cox proportional hazards model analysis showed that G1, G4, and G5 had significantly higher mortality risks after adjusting for sex and age (G2 was the reference group).

conclusionBased on the natural history of frailty, the 5 distinctive trajectory groups showed that some individuals remained robust, while others remained predominantly prefrail or progressed primarily owing to physical mobility decline. Therefore, identifying individuals belonging to these progressive frailty groups and providing interventions according to the characteristics of each group may be beneficial.

Indexed as

FrailtyAgedFemaleFrail ElderlyGeriatric AssessmentHumansIndependent LivingJapanMaleFive frailty assessment componentsGroup-based multitrajectory modelingLongitudinal dataTrajectory groups

Identifiers

PMID35679612
PMCPMC9536447

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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.