[HTML][HTML] Smartphone-based interventions for physical activity promotion: scoping review of the evidence over the last 10 years

A Domin, D Spruijt-Metz, D Theisen… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Several reviews of mobile health (mHealth) physical activity (PA) interventions
suggest their beneficial effects on behavior change in adolescents and adults. Owing to the …

[HTML][HTML] Key components in eHealth interventions combining self-tracking and persuasive eCoaching to promote a healthier lifestyle: a scoping review

AJ Lentferink, HKE Oldenhuis, M de Groot… - Journal of medical …, 2017 - jmir.org
Background The combination of self-tracking and persuasive eCoaching in automated
interventions is a new and promising approach for healthy lifestyle management. Objective …

Linking technological functions of fitness mobile apps with continuance usage among Chinese users: Moderating role of exercise self-efficacy

G Huang, Y Ren - Computers in Human Behavior, 2020 - Elsevier
Mobile apps are effective tools for administering health interventions and changing user
behaviors in key lifestyle areas, such as physical activity, but the attrition rates of fitness app …

Core social network size is associated with physical activity participation for fitness app users: The role of social comparison and social support

G Huang, M Sun, LC Jiang - Computers in Human Behavior, 2022 - Elsevier
The present study aimed to examine the effects of social networking functions of fitness apps
on users' physical activity participation. Drawing on the input-mechanism-output framework …

[HTML][HTML] A smartphone app to promote an active lifestyle in lower-educated working young adults: development, usability, acceptability, and feasibility study

D Simons, I De Bourdeaudhuij, P Clarys… - JMIR mHealth and …, 2018 - mhealth.jmir.org
Background: Physical activity (PA) levels are problematic in lower-educated working young
adults (18-26 years). To promote PA, smartphone apps have great potential, but there is no …

[HTML][HTML] App chronic disease checklist: protocol to evaluate mobile apps for chronic disease self-management

K Anderson, O Burford, L Emmerton - JMIR research …, 2016 - researchprotocols.org
Background: The availability of mobile health apps for self-care continues to increase. While
little evidence of their clinical impact has been published, there is general agreement among …

Identifying behavior change techniques in an artificial intelligence-based fitness app: a content analysis

H Kuru - Health Education & Behavior, 2023 - journals.sagepub.com
In the field of artificial intelligence-based fitness apps, the effective integration of behavior
change techniques (BCTs) is critical for promoting physical activity and improving health …

Determinants of continuance intention to use health apps among users over 60: a test of social cognitive model

E Kim, S Han - International Journal of Environmental Research and …, 2021 - mdpi.com
Promoting healthy behavior among seniors is important in reducing the burden of care and
healthcare expenses in a rapidly aging society. Health apps can play an important role in …

[HTML][HTML] Behavior change techniques in mHealth apps for the mental and physical health of employees: systematic assessment

E De Korte, N Wiezer… - JMIR mHealth and …, 2018 - mhealth.jmir.org
Background Employees remain at risk of developing physical and mental health problems.
To improve the lifestyle, health, and productivity many workplace interventions have been …

Time to work out! Examining the behavior change techniques and relevant theoretical mechanisms that predict the popularity of fitness mobile apps with Chinese …

G Huang, E Zhou - Health communication, 2018 - Taylor & Francis
Eyeing the huge potential mHealth market in China, developers both inside and outside of
China have created an increasing number of fitness mobile applications with Chinese …