Evidence map›Paper›PMID 35699174›Full record

ArticleJournal of the American Heart Association2022

Evaluation of a Population-Wide Mobile Health Physical Activity Program in 696 907 Adults in Singapore.

Jiali Yao, Nicole Lim, Jeremy Tan, Andre Matthias Müller, Rob Martinus van Dam, Cynthia Chen, Chuen Seng Tan, Falk Müller-Riemenschneider

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06818071 (Application of Gamified Elements to Increase Daily Step Count in University Students in Taiwan A Randomized Controlled Trial), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

NCT06818071 nacompletednot on this mapstarted 2024, after this paper: background citation

Application of Gamified Elements to Increase Daily Step Count in University Students in Taiwan A Randomized Controlled Trial

TypeinterventionalSponsorTaipei Medical UniversityRan2024 to 2025Enrolled255ConditionsPhysical Activity, Gamification, Daily Step CountArmsPoints and Leaderboards, Social Aspects, Health Messages, Pikmin Bloom
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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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

8 authors.

Jiali YaoSaw Swee Hock School of Public Health National University of Singapore Singapore.ORCID 0000-0001-7269-4679
Nicole LimPolicy, Research and Surveillance Division Health Promotion Board Singapore.ORCID 0000-0003-1116-4249
Jeremy TanPolicy, Research and Surveillance Division Health Promotion Board Singapore.ORCID 0000-0002-1543-9441
Andre Matthias MüllerSaw Swee Hock School of Public Health National University of Singapore Singapore.ORCID 0000-0001-5770-6723
Rob Martinus van DamSaw Swee Hock School of Public Health National University of Singapore Singapore.ORCID 0000-0002-7354-8734
Cynthia ChenSaw Swee Hock School of Public Health National University of Singapore Singapore.ORCID 0000-0002-1947-8069
Chuen Seng TanSaw Swee Hock School of Public Health National University of Singapore Singapore.ORCID 0000-0002-6513-2309
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health National University of Singapore Singapore.ORCID 0000-0003-1402-7477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Evidence of scaled-up physical activity interventions is scarce. This study evaluates the uptake, engagement, and effectiveness of one such intervention program. Methods and Results The program was open to individuals aged ≥17 years in Singapore. The main intervention components comprised device-based daily physical activity recording paired with step count goals and financial rewards. According to the different reward opportunities, we divided the evaluation period (August 2017 to June 2018) into the baseline monitoring phase, the main challenge phase, and the maintenance phase. Uptake was assessed by the number of individuals registered, and engagement by the step recording duration after registration. The effectiveness was defined as changes in mean daily step count from baseline to the main challenge phase and the maintenance phase. A total of 696 907 participants registered, including more Singapore citizens (versus noncitizens), women, and younger (aged 17-39 years) individuals. The evaluation of engagement and effectiveness included 421 388 (60.5%) participants who provided plausible characteristic information and step count data. The median duration of engagement was 74 (IQR, 14-149) days. Compared with the baseline of 7509 (SD, 3467) steps, mean daily step count increased by 1579 (95% CI, 1564-1594) steps during the main challenge phase and 934 (95% CI, 916-952) steps during the maintenance phase. Greater engagement and activity increase were found in participants who are citizens, women, aged ≥40 years, non-obese, and using separate wearables (versus smartphones). Conclusions Mobile health physical activity interventions can successfully reach a large population and be effective in increasing physical activity, despite declining program engagement over time.

Indexed as

ExerciseTelemedicineAdultFemaleHumansRewardSingaporeSmartphonemobile healthphysical activityprimary preventionpublic health

Identifiers

PMID35699174
PMCPMC9238668

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LicenceCC BY-NC-ND
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Registered trials

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.