Cited by 67Physical Activity and HealthMobile Health and mHealth ApplicationsEducational Games and Gamification

Novel Smartphone Game Improves Physical Activity Behavior in Type 2 Diabetes

Open access
Höchsmann, Christoph, Müller, Olivia, Ambühl, Muriel, Klenk, Christopher, Königstein, Karsten, Infanger, Denis, Walz, Steffen P., Schmidt-Trucksäss, Arno·2019·American Journal of Preventive Medicine

Abstract

Introduction Many type 2 diabetes patients show insufficient levels of physical activity and are often unmotivated to change physical activity behaviors. This study investigated whether a newly developed smartphone game delivering individualized exercise and physical activity promotion through an elaborate storyline can generate sustained improvements in daily physical activity (steps/day).Study design Thirty-six participants were enrolled in this 24-week RCT between August 2016 and April 2018. After baseline assessment, participants were randomized in equal numbers to the intervention or control condition. Data analysis was performed in May-June 2018.Setting/participants Inactive, overweight type 2 diabetes patients, aged 45-70 years, were recruited through advertising and from hospitals and diabetes care centers in the Basel, Switzerland, metropolitan area.Intervention Participants were instructed to play the innovative smartphone game (intervention group) or to implement the recommendations from the baseline lifestyle counseling (control group) autonomously during the 24-week intervention period.Main outcome measures Primary outcomes were changes in daily physical activity (steps/day); changes in aerobic capacity, measured as oxygen uptake at the first ventilatory threshold; and changes in glycemic control, measured as HbA1c.Results Daily physical activity increased by an average of 3,998 (SD=1,293) steps/day in the intervention group and by an average of 939 (SD=1,156) steps/day in the control group. The adjusted difference between the two groups was 3,128 steps/day (95% CI=2,313, 3,943, p<0.001). The increase in daily physical activity was accompanied by an improved aerobic capacity (adjusted difference of oxygen uptake at the first ventilatory threshold of 1.9 mL/(kg·min), 95% CI=0.9, 2.9, p<0.001). Glycemic control (HbA1c) did not change over the course of the intervention.Conclusions A novel, self-developed smartphone game, delivering multidimensional home-based exercise and physical activity promotion, significantly increases daily physical activity (steps/day) and aerobic capacity in inactive type 2 diabetes patients after 24 weeks. The ability of the game to elicit a sustained physical activity motivation may be relevant for other inactive target groups with chronic diseases.Trial registration This study is registered at www.clinicaltrials.gov NCT02657018.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.amepre.2019.02.017

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Höchsmann, C., Müller, O., Ambühl, M., Klenk, C., Königstein, K., Infanger, D., Walz, S. P., & Schmidt-Trucksäss, A.
Affiliations
  • Pennington Biomedical Research Center (US)
  • University of Basel (CH)
  • Swinburne University of Technology (AU)
Venue
American Journal of Preventive Medicine
Publisher
Elsevier BV
Published
2019-07
Volume
57
Issue
1
Pages
41-50
ISSN
0749-3797 (ISSN-L)
OpenAlex
W2945404953
Cited by
67
References
37
Citations by year
2026: 7 · 2025: 8 · 2024: 15 · 2023: 11 · 2022: 8 · 2021: 11 · 2020: 7
FWCI
4.41
Type
journal article
Language
en
Open access
Locations
  • American Journal of Preventive Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
  • Swinburne figshare (Swinburne University of Technology) (submittedVersion)
Funders
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (166214)
  • RMIT University
  • Novartis Pharma
  • National Institute of Diabetes and Digestive and Kidney Diseases (T32DK064584)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
Keywords
type 2 diabetes, mobile gaming, physical activity promotion, daily step count, cardiorespiratory fitness, glycemic control, HbA1c, exercise motivation, home-based exercise, lifestyle counseling, overweight adults, gamification, chronic disease management, individualized exercise, physical inactivity, digital health interventions
MeSH terms
Smartphone, Behavior Therapy, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, Motivation, Switzerland, Exercise, Sedentary Behavior

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review