Evidence map›Paper›PMID 41275159›Full record

ArticleBMC public health2025

Health education interventions across Thailand, the Philippines, and Japan: a multisite comparison in varying socio-environmental and policy contexts.

Suchinda Jarupat Maruo, Kwanjai Amnatsatsue, Weha Kasemsuk, Peter S Aznar, Nino Ismael S Pastor, Fumihito Sasamori, Kazuki Ashida, Masao Okuhara, Hisaaki Tabuchi, Koji Terasawa

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in BMC public health, 2025. 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

10 authors.

Suchinda Jarupat MaruoDepartment of Occupational Health and Safety, Faculty of Public Health, Mahidol University, 420/1 Ratchawithi Road, Ratchathewi District, Bangkok, 10400, Thailand. suchinda.jar@mahidol.ac.th.
Kwanjai AmnatsatsueDepartment of Public Health Nursing, Faculty of Public Health, Mahidol University, 420/1 Ratchawithi Road, Ratchathewi District, Bangkok, 10400, Thailand.
Weha KasemsukDepartment of Public Health Nursing, Faculty of Nursing, Mahidol University2, Wang Lang Road, Siriraj, Bangkok Noi, Bangkok, 10700, Thailand.
Peter S AznarSchool of Medicine, Southwestern University Phinma, Aznar Road Urgello St, Sambag II, Cebu, 6000, Philippines.
Nino Ismael S PastorGullas College of Medicine, Banilad, Cebu City, Philippines.
Fumihito SasamoriFaculty of Engineering, Shinshu University, Wakasato, Naganoshi, Nagano, 380-0928, Japan.
Kazuki AshidaNational Institute of Technology, Nagano College, 716 Tokuma, Nagano City, 381-8550, Japan.
Masao OkuharaDepartment of Applied Information Engineering, Faculty of Engineering, Suwa University of Science, 5000-1, Toyohara, Chino-city, Nagano, 391-0292, Japan.
Hisaaki TabuchiGraduate School of Medicine, Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda City, Nagano, 386-8567, Japan.
Koji TerasawaDepartment of Psychology, University of Innsbruck, Innrain 52 6020, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This quasi-experimental pre-post study evaluated the health effects of multisite health education interventions implemented in Thailand, the Philippines, and Japan. Standardized programs, based on a shared health education framework, were delivered for 6 to 12 months in Sampran (Thailand), Cebu (Philippines), Matsumoto City, and Minowa Town (Japan), targeting older adults and working-age populations. A total of 481 participants were assessed using anthropometric measurements, blood pressure, physical fitness tests (e.g., grip strength, sit-ups, balance), and cognitive function tests (reaction time and error rate via a go/no-go task device developed at Shinshu University). Physical activity was measured using pedometers to track daily steps. Significant improvements were observed in weight, BMI, muscular strength, balance, and executive function across several sites. In Minowa Town, where participants averaged 73 years in age, the average daily step count was 8,701. This finding suggests that sustained behavioral change may be linked not merely to step targets, but to internalized understanding of the health benefits of physical activity. While more than 7,000 steps per day is generally considered beneficial, our results indicate that age, motivation, and social context may moderate these outcomes. These findings underscore the importance of age- and context-appropriate interventions that integrate both physical and cognitive health components. This study also highlights the value of culturally adaptable health education strategies when addressing diverse populations across national boundaries.

Indexed as

Health EducationHealth PolicyAdultAgedFemaleHumansJapanMaleMiddle AgedPhilippinesThailand

Identifiers

PMID41275159
PMCPMC12754905

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.