Evidence map›Paper›PMID 40445836›Full record

ArticleThe Journal of frailty & aging2025

Built-in healthcare applications reveal step changes associated with temperature, transportation, and marital status among urban cities in Japan.

Nobuhiko Wakai, Taiga Yamada, Hiroyuki Tomoyama, Shigehiro Iida

Abstract read
In one paragraph

Article in The Journal of frailty & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Nobuhiko WakaiPanasonic Holdings Corporation, 1006, Kadoma, Kadoma City, Osaka 571-8501, Japan. Electronic address: wakai.nobuhiko@jp.panasonic.com.
Taiga YamadaPanasonic System Design Co., Ltd., 3-1-9 Arena Tower F8, Shin-yokohama, Kohoku Ku, Yokohama City, Kanagawa 222-0033, Japan.
Hiroyuki TomoyamaPanasonic System Design Co., Ltd., 3-1-9 Arena Tower F8, Shin-yokohama, Kohoku Ku, Yokohama City, Kanagawa 222-0033, Japan.
Shigehiro IidaPanasonic Holdings Corporation, 1006, Kadoma, Kadoma City, Osaka 571-8501, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWalking is a fundamental daily activity representing health status and physical condition. The number of steps taken in a given time period is widely used in research areas such as aging, geriatrics, gerontology, public health, and preventive medicine. However, the underlying mechanisms of step counts are not well understood.

objectivesTo investigate daily step counts associated with temperature, transportation, and marital status.

designTime series analysis of daily steps using built-in healthcare applications on smartphones.

settingGovernment-designated, well-developed urban cities in Japan: Fukuoka, Kawasaki, Kobe, Kyoto, and Saitama.

participantsRespondents totaled 622 40- to 79-year-olds, comprising 370 males and 252 females. MEASUREMENTS: The mean period of our retrospective data was 2,344 days.

resultsSeasonal-trend decomposition using loess was applied to time series steps. With the high coefficient of determination R

conclusionsThis study presents significant associations between mean daily steps and the factors of temperature, transportation, and marital status. These associations can alleviate biases in step research by area and season to facilitate better step count comparisons in many research fields.

Indexed as

Marital StatusTemperatureTransportationUrban PopulationWalkingAdultAgedCitiesFemaleHumansJapanMaleMiddle AgedRetrospective StudiesSeasonsPhysical activitySeasonal changesStepsTime seriesWalking

Identifiers

PMID40445836
PMCPMC12399248

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LicenceCC BY-NC-ND
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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.