Evidence map›Paper›PMID 32965610›Full record

ArticleAging clinical and experimental research2021

A combined stepping and visual tracking task predicts cognitive decline in older adults better than gait or visual tracking tasks alone: a prospective study.

Yosuke Osuka, Hunkyung Kim, Yutaka Watanabe, Yu Taniguchi, Narumi Kojima, Satoshi Seino, Hisashi Kawai, Ryota Sakurai, Hiroki Inagaki, Shuichi Awata and 1 more

Abstract read
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In one paragraph

Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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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

11 authors at 4 institutions in 1 country.

Yosuke OsukaResearch Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan. osuka@tmig.or.jp.ORCID http://orcid.org/0000-0002-5744-1961
Hunkyung KimResearch Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Yutaka WatanabeFaculty of Dental Medicine, Hokkaido University, Hokkaido, Japan.
Yu TaniguchiJapan Environment and Children's Study Programme Office, National Institute for Environmental Studies, Ibaraki, Japan.
Narumi KojimaResearch Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Satoshi SeinoResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Hisashi KawaiResearch Team for Human Care, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Ryota SakuraiResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Hiroki InagakiResearch Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Shuichi AwataResearch Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Shoji ShinkaiGraduate School of Nutrition and Health Science, Kagawa Nutrition University, Sakato, Japan.
Tokyo Metropolitan Institute of Gerontology · JPHokkaido University · JPKagawa Nutrition University · JPNational Institute for Environmental Studies · JP

Funding

Japan Agency for Medical Research and Development JP16dk0110018Japan Society for the Promotion of Science 16K11908Japan Society for the Promotion of Science 17K13239Ministry of Health, Labour and Welfare H27-Choju-Ippan-005Tokyo Metropolitan Government No numberTokyo Metropolitan Institute of Gerontology No number
6 · The paper itself

Abstract

backgroundIt is unclear whether motor-cognitive dual tasks predict cognitive decline better than either motor or cognitive tasks alone.

aimsTo examine the utility of the novel motor-cognitive dual-task test [Stepping Trail Making Test (S-TMT)], as a predictor of cognitive decline, and compare its predictive performance with single motor or cognitive tests.

methodsThis 2-year population-based prospective study included 626 adults aged ≥ 70 years from Takashimadaira, Itabashi, Tokyo. The S-TMT measured the time taken to step on 16 numbers in order. Gait speed and TMT-A were assessed with standardized methods as single motor and cognitive tasks, respectively. A decline in the Mini-Mental State Examination score by ≥ 3 points over 2 years was defined as a significant cognitive decline.

resultsOver 2 years, 97 (15.5%) experienced cognitive decline. After adjusting for confounders, binary logistic regression models showed no significant associations between gait speed, TMT-A time tertiles, and risk of cognitive decline, but participants in the longest tertile of S-TMT time were more likely to develop cognitive decline than those of the shortest tertile (odds ratio 2.14; 95% confidence interval 1.17-3.90). Only the addition of the S-TMT time to the covariates model significantly improved the reclassification indices for predicting cognitive decline (net reclassification improvement: 0.31, P < 0.01; integrated discrimination improvement: 0.01, P = 0.02). DISCUSSION AND

conclusionOnly the S-TMT was significantly associated with cognitive decline and improved reclassification indices, indicating that it is more useful for predicting cognitive decline than individual gait speed or visual tracking tests alone.

Indexed as

Cognitive DysfunctionGaitAgedCognitionHumansProspective StudiesPsychomotor PerformanceTrail Making TestC-statisticsIntegrated discrimination improvementNet reclassification improvementPredictive performance

Identifiers

PMID32965610
OpenAlexW3087930804

What OpenQuestion holds

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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.