Evidence map›Paper›PMID 42079991›Full record

ArticleJournal of physical therapy science2026

The status of step-count monitoring and its association with physical activity and sedentary time among older adults: a cross-sectional study of silver human resources center members.

Korin Tateoka, Naofumi Yamamoto, Akiyo Higashionna, Kazuto Noguchi

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Korin TateokaFaculty of Collaborative Regional Innovation, Ehime University: 3 Bunkyo-cho, Matsuyama-shi, Ehime 790-8577, Japan.
Naofumi YamamotoFaculty of Collaborative Regional Innovation, Ehime University: 3 Bunkyo-cho, Matsuyama-shi, Ehime 790-8577, Japan.
Akiyo HigashionnaFaculty of Human Health Sciences, Shunan University, Japan.
Kazuto NoguchiCenter for Data Science, Ehime University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] This study aimed (1) to describe the actual status of step-count monitoring among older adults who are members of Silver Human Resources Centers, one of the major organizations supporting older adults' work in Japan, and (2) to examine its relationships with physical activity and sedentary time (ST). [Participants and Methods] A total of 622 participants were included in this study. Logistic regression models were used to evaluate associations between step-count monitoring frequency and exercise habits, while multiple linear regression models examined associations with ST. [Results] Of the participants, 33.6% reported monitoring their steps almost every day. "Mobile phone/smartphone" was the most used device for step-count monitoring. A higher frequency of step-count monitoring was positively associated with exercise habits, with the multivariable-adjusted odds ratio (95% CI) of 3.329 (2.266-4.891) for the high-frequency monitoring group compared to the non-monitoring group. No significant association was observed between step-count monitoring frequency and ST. [Conclusion] This study highlights the widespread practice of step-count monitoring among older adults and its positive association with exercise habits. These findings provide foundational insights for developing dissemination strategies to promote step-count monitoring in this population.

Indexed as

Physical activitySmartphoneStep-count monitoring

Identifiers

PMID42079991
PMCPMC13132643

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.