Effects of an mHealth App (Kencom) With Integrated Functions for Healthy Lifestyles on Physical Activity Levels and Cardiovascular Risk Biomarkers: Observational Study of 12,602 Users

Journals

1. Edney S, Chua X, Müller A, Kui K, Müller‐Riemenschneider F. mHealth interventions targeting movement behaviors in Asia: A scoping review. Obesity Reviews 2022;23(4) View
2. Vieira W, Ostolin T, Simões M, Proença N, Dourado V. Profile of adults users of smartphone applications for monitoring the level of physical activity and associated factors: A cross-sectional study. Frontiers in Public Health 2022;10 View
3. Hesseldal L, Christensen J, Olesen T, Olsen M, Jakobsen P, Laursen D, Lauridsen J, Nielsen J, Søndergaard J, Brandt C. Long-term Weight Loss in a Primary Care–Anchored eHealth Lifestyle Coaching Program: Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(9):e39741 View
4. Christensen J, Laursen D, Lauridsen J, Hesseldal L, Jakobsen P, Nielsen J, Søndergaard J, Brandt C. Reversing Type 2 Diabetes in a Primary Care-Anchored eHealth Lifestyle Coaching Programme in Denmark: A Randomised Controlled Trial. Nutrients 2022;14(16):3424 View
5. Okada Y, Inada K, Akazawa M. Comparative effectiveness of long-acting injectable antipsychotics in patients with schizophrenia in Japan. Schizophrenia Research 2023;252:300 View
6. Hamaya R, Mori M, Miyake K, Lee I. Association of Smartphone‐Recorded Steps Over Years and Change in Cardiovascular Risk Factors Among Working‐Age Adults. Journal of the American Heart Association 2022;11(14) View
7. Castela Forte J, Gannamani R, Folkertsma P, Kumaraswamy S, Mount S, van Dam S, Hoogsteen J. Changes in Blood Lipid Levels After a Digitally Enabled Cardiometabolic Preventive Health Program: Pre-Post Study in an Adult Dutch General Population Cohort. JMIR Cardio 2022;6(1):e34946 View
8. Shibata S, Hoshide S. Current situation of telemedicine research for cardiovascular risk in Japan. Hypertension Research 2023;46(5):1171 View
9. Yamato K, Sano H, Hirata K, Nakayama T. Validation and comparison of the coding algorithms to identify people with migraine using Japanese claims data. Frontiers in Neurology 2023;14 View
10. Sañudo B, Sanchez-Trigo H, Domínguez R, Flores-Aguilar G, Sánchez-Oliver A, Moral J, Oviedo-Caro M. A randomized controlled mHealth trial that evaluates social comparison-oriented gamification to improve physical activity, sleep quantity, and quality of life in young adults. Psychology of Sport and Exercise 2024;72:102590 View
11. Wall J, Xie H, Wang X. Temporal Interactions between Maintenance of Cerebral Cortex Thickness and Physical Activity from an Individual Person Micro-Longitudinal Perspective and Implications for Precision Medicine. Journal of Personalized Medicine 2024;14(2):127 View
12. Chan G, Nwagu C, Odenigbo I, Alslaity A, Orji R. The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile Devices. International Journal of Human–Computer Interaction 2024:1 View
13. Maaß L, Angoumis K, Freye M, Pan C. Mapping digital public health interventions in practice: A scoping review of existing digital technologies and Internet-based interventions to maintain and improve population health (Preprint). Journal of Medical Internet Research 2023 View
14. Takeshima T, Hirata K, Igarashi H, Sakai F, Sano H, Kondo H, Shibasaki Y, Koga N. A study to investigate the prevalence of headache disorders and migraine conducted using medical claims data and linked results from online surveys: post-hoc analysis of other headache disorders. BMC Neurology 2024;24(1) View

Books/Policy Documents

1. Ulmer T, Baldauf M. Human-Computer Interaction. User Experience and Behavior. View