Evidence map›Paper›PMID 39983657›Full record

ArticleThe journal of nutrition, health & aging2025

Association between objective physical activity and frailty transition in community-dwelling prefrail Japanese older adults.

Yu-Shan Lee, Yukiko Nishita, Chikako Tange, Shu Zhang, Hiroshi Shimokata, Shih-Yi Lin, Wei-Min Chu, Rei Otsuka

Abstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

8 authors.

Yu-Shan LeeCenter for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.
Yukiko NishitaDepartment of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan. Electronic address: nishita@ncgg.go.jp.
Chikako TangeDepartment of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.
Shu ZhangDepartment of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.
Hiroshi ShimokataDepartment of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan; Graduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Aichi, Japan.
Shih-Yi LinCenter for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Wei-Min ChuDepartment of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan; Department of Family Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Rei OtsukaCenter for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty transition is common, and increased physical activity can prevent it. An objective assessment of physical activity could eliminate bias and provide more precise information on the association between frailty transitions and physical activity.

objectivesThis study aimed to examine the association between objective physical activity and frailty transition in community-dwelling prefrail Japanese older adults.

designThis is a retrospective cohort study based on the National Institute for Longevity Science-Longitudinal Study of Aging data.

participantsA total of 387 community-dwelling older adults with prefrailty were enrolled (mean age 72.0 years). MEASUREMENTS: Frailty was assessed using modified components of the Cardiovascular Health Study criteria, and frailty statuses were reassessed two years later. The frailty transitions were categorized into three groups: deterioration, persistence, and reversal. Participants wore a uniaxial accelerometer to assess the physical activities. Differences in baseline characteristics according to frailty transitions were assessed. To compare the baseline objective physical activities based on frailty transition, a general linear model and a logistic regression model were used.

resultsAmong the 387 participants, 40 (10.3%) deteriorated to frailty, 97 (25.0%) reversed to robust, and the majority (n = 250, 64.6%) remained prefrail after a 2-year follow-up. Using the general linear model, after adjusting for other factors, total energy expenditure (TEE) in the reversal group was significantly higher than that in the deterioration and persistence groups. No differences in TEE were observed between the persistence and deterioration groups. No significant differences existed in the numbers of daily steps, exercise energy expenditure (EEE) and physical activity with different intensity among these three groups. The logistic model also showed a significant association between TEE and the reversal of frailty.

conclusionFrailty transitions were common in the Japanese prefrail population. This study showed that a higher TEE was positively associated with frailty reversal in prefrail older adults. Promoting proactive programs for older adults to increase physical activity could help them stay healthy and prevent frailty deterioration.

Indexed as

ExerciseFrail ElderlyFrailtyGeriatric AssessmentIndependent LivingAccelerometryAgedAged, 80 and overEast Asian PeopleFemaleHumansJapanLongitudinal StudiesMaleRetrospective StudiesAccelerometerFrailty transitionObjective physical activityPrefrailty

Identifiers

PMID39983657
PMCPMC12180051

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Registered trials

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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.