Evidence map›Paper›PMID 36413588›Full record

ArticleAge and ageing2022

Functional disability trajectories at the end of life among Japanese older adults: findings from the Japan Gerontological Evaluation Study (JAGES).

Junko Saito, Hiroshi Murayama, Takayuki Ueno, Masashige Saito, Maho Haseda, Tami Saito, Katsunori Kondo, Naoki Kondo

Abstract read
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Article in Age and ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Disability trajectories in the last years of life: a Swedish longitudinal multi-cohort study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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

8 authors.

Junko SaitoDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID 0000-0002-6923-7298
Hiroshi MurayamaResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.ORCID 0000-0003-2991-7763
Takayuki UenoCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Masashige SaitoFaculty of Social Welfare, Nihon Fukushi University, Aichi, Japan.
Maho HasedaDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.
Tami SaitoDepartment of Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.
Katsunori KondoCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Naoki KondoDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundthis study aimed to identify distinct subgroups of trajectories of disability over time before 3 years of death and examine the factors associated with trajectory group membership probabilities among community-dwelling Japanese older adults aged 65 years and above.

methodsparticipants included 4,875 decedents from among community-dwelling Japanese older adults, aged ≥ 65 years at baseline (men: 3,020; women: 1,855). The certified long-term care levels of the national long-term care insurance (LTCI) system were used as an index of functional disability. We combined data from the 2010 Japan Gerontological Evaluation Study and data from the 2010 to 2016 LTCI system. Group-based mixture models and multinominal logistic regression models were used for data analysis.

resultsfive distinct trajectories of functional disability in the last 3 years of life were identified: 'persistently severe disability' (10.3%), 'persistently mild disability' (13.0%), 'accelerated disability' (12.6%), 'catastrophic disability' (18.8%) and 'minimum disability' (45.2%). Multinominal logistic regression analysis found several factors associated with trajectory membership; self-rated health was a common predictor regardless of age and gender. The analysis also showed a paradoxical association; higher education was associated with trajectory group membership probabilities of more severe functional decline in men over 85 years at death.

conclusionsindividual perception of health was a strong predictor of trajectories, independent of demographic factors and socio-economic status. Our findings contribute to the development of policies for the long-term care system, particularly for end-of-life care, in Asian countries.

Indexed as

Activities of Daily LivingPersons with DisabilitiesAgedDeathFemaleHumansIndependent LivingJapanMaledisabilityJapanolder peopletrajectory

Identifiers

PMID36413588
PMCPMC9681128

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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.