Evidence map›Paper›PMID 42416388›Full record

ArticleDigital health

Feasibility and behavioral impact of a wearable-supported digital health intervention on attitudes and behaviors toward sleep and physical activity: A proof-of-concept study in Kobe City.

Hana Hayashi, Kohei Hasegawa, Yukiko Takagi, Haruo Mizutani

Abstract read
In one paragraph

Article in Digital health. 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.

Hana HayashiDown to Earth, Inc., Chiba, Japan.ORCID https://orcid.org/0000-0002-3336-8763
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Yukiko TakagiDown to Earth, Inc., Chiba, Japan.ORCID https://orcid.org/0009-0006-9368-7543
Haruo MizutaniFaculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This proof-of-concept study examined whether wearable devices integrated with the Welloop mobile application and a light incentive feature lead to changes in awareness and behaviors related to sleep and physical activity. The intervention provided personalized recommendations based on biometric data and explored the potential of digital tools to support behavior change. Methods: This single-arm interventional study was conducted from December 2023 to March 2024. Participants aged 20-65 years were recruited in Kobe, Japan. Eligible individuals owned a smartphone, registered as Healthcare Citizen Supporters, and agreed to wear a wearable device (Oura Ring or Fitbit) throughout the study period (January 10-March 31, 2024). Participation was voluntary, including mobile communication costs. Participation was voluntary. During the intervention phase, participants received personalized lifestyle recommendations based on biometric data via the mobile application, along with a light incentive feature to support engagement. The primary outcomes were changes in attitudes and self-reported and device-based behavioral indicators related to physical activity and sleep. Results: This single-arm interventional study was conducted from December 2023 to March 2024. A total of 130 participants (median age 49; 83% women), with 60% holding a university degree or higher were enrolled. Participants aged 20-65 years were recruited in Kobe, Japan. Attitudinal outcomes showed significant or near-significant improvements, including perceived enjoyment and necessity of physical activity, and a significant shift in the stage of change for dietary habits. Objective and self-reported behavioral changes were modest, with small improvements in exercise duration, walking time, and reduced sleep procrastination, though most behavioral outcomes were not statistically significant. No meaningful differences were observed based on incentive preferences. Conclusions: The findings suggest that the intervention is feasible in a community setting. While behavioral change was limited, attitudinal improvements highlight potential for digital self-monitoring and personalized feedback to support early stages of behavior change.

Indexed as

health behaviormobile applications exercisephysical activitywearable device

Identifiers

PMID42416388
PMCPMC13338537

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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.