Published on 05.10.17 in Vol 5, No 10 (2017): October
Works citing "Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7820):
(note that this is only a small subset of citations)
-
Seppälä J, De Vita I, Jämsä T, Miettunen J, Isohanni M, Rubinstein K, Feldman Y, Grasa E, Corripio I, Berdun J, D'Amico E, Bulgheroni M. Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review. JMIR Mental Health 2019;6(2):e9819
CrossRef -
Trifan A, Oliveira M, Oliveira JL. Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations. JMIR mHealth and uHealth 2019;7(8):e12649
CrossRef -
Hagemeier NE, Carlson TS, Roberts CL, Thomas M. A Longitudinal Analysis of First Professional Year Pharmacy Student Well-being. American Journal of Pharmaceutical Education 2020;84(7):ajpe7735
CrossRef -
Garcia-Moreno FM, Bermudez-Edo M, Garrido JL, Rodríguez-García E, Pérez-Mármol JM, Rodríguez-Fórtiz MJ. A Microservices e-Health System for Ecological Frailty Assessment Using Wearables. Sensors 2020;20(12):3427
CrossRef -
Sarda A, Munuswamy S, Sarda S, Subramanian V. Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study. JMIR mHealth and uHealth 2019;7(1):e11041
CrossRef -
Montag C, Baumeister H, Kannen C, Sariyska R, Meßner E, Brand M. Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology. J 2019;2(2):102
CrossRef -
Haga SB, Shaw R, Kneifel C, Bond SJ, Ginsburg GS. Promoting Wellness Through Mobile Health Technology in a College Student Population: Protocol Development and Pilot Study. JMIR Research Protocols 2020;9(4):e16474
CrossRef -
Giunti G, Guisado Fernández E, Dorronzoro Zubiete E, Rivera Romero O. Supply and Demand in mHealth Apps for Persons With Multiple Sclerosis: Systematic Search in App Stores and Scoping Literature Review. JMIR mHealth and uHealth 2018;6(5):e10512
CrossRef -
Düking P, Achtzehn S, Holmberg H, Sperlich B. Integrated Framework of Load Monitoring by a Combination of Smartphone Applications, Wearables and Point-of-Care Testing Provides Feedback that Allows Individual Responsive Adjustments to Activities of Daily Living. Sensors 2018;18(5):1632
CrossRef -
Robbins R, Seixas A, Walton Masters L, Chanko N, Diaby F, Vieira D, Jean-Louis G. Sleep Tracking: a Systematic Review of the Research Using Commercially Available Technology. Current Sleep Medicine Reports 2019;5(3):156
CrossRef -
de Vries LP, Baselmans BML, Bartels M. Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies. Journal of Happiness Studies 2021;22(5):2361
CrossRef -
Sheikh M, Qassem M, Kyriacou PA. Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring. Frontiers in Digital Health 2021;3
CrossRef -
Vigoureux TFD, Lee S. Individual and joint associations of daily sleep and stress with daily well-being in hospital nurses: an ecological momentary assessment and actigraphy study. Journal of Behavioral Medicine 2021;44(3):320
CrossRef -
Liu JC, Goetz J, Sen S, Tewari A. Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data. JMIR mHealth and uHealth 2021;9(3):e23728
CrossRef -
. Naturally Occurring Consecutive Sleep Loss and Day-to-Day Trajectories of Affective and Physical Well-Being. Annals of Behavioral Medicine 2022;56(4):393
CrossRef -
Rehman UU, Park S, Lee S. Secure Health Fog: A Novel Framework for Personalized Recommendations Based on Adaptive Model Tuning. IEEE Access 2021;9:108373
CrossRef -
Gopalakrishnan A, Venkataraman R, Gururajan R, Zhou X, Genrich R. Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review. PeerJ Computer Science 2022;8:e1042
CrossRef -
Bilal AM, Fransson E, Bränn E, Eriksson A, Zhong M, Gidén K, Elofsson U, Axfors C, Skalkidou A, Papadopoulos FC. Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol. BMJ Open 2022;12(4):e059033
CrossRef -
Antezana G, Venning A, Smith D, Bidargaddi N. Understanding what we know so far about young people's engagement with wellbeing apps. A scoping review and narrative synthesis. DIGITAL HEALTH 2022;8:205520762211441
CrossRef -
Alamoudi D, Breeze E, Crawley E, Nabney I. The Feasibility of Using Smartphone Sensors to Track Insomnia, Depression, and Anxiety in Adults and Young Adults: Narrative Review. JMIR mHealth and uHealth 2023;11:e44123
CrossRef -
Lee K, Lee TC, Yefimova M, Kumar S, Puga F, Azuero A, Kamal A, Bakitas MA, Wright AA, Demiris G, Ritchie CS, Pickering CE, Nicholas Dionne-Odom J. Using digital phenotyping to understand health-related outcomes: A scoping review. International Journal of Medical Informatics 2023;174:105061
CrossRef -
Spengler L, Gößwein E, Kranefeld I, Liebherr M, Kracht FE, Schramm D, Gennat M. From Modeling to Optimizing Sustainable Public Transport: A New Methodological Approach. Sustainability 2023;15(10):8171
CrossRef -
Kadirvelu B, Bellido Bel T, Wu X, Burmester V, Ananth S, Cabral C C Branco B, Girela-Serrano B, Gledhill J, Di Simplicio M, Nicholls D, Faisal AA. Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study. JMIR Formative Research 2023;7:e44877
CrossRef -
Ito-Masui A, Sakamoto R, Matsuo E, Kawamoto E, Motomura E, Tanii H, Yu H, Sano A, Imai H, Shimaoka M. Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial. Journal of Medical Internet Research 2023;25:e45834
CrossRef -
Nagino K, Sung J, Midorikawa-Inomata A, Eguchi A, Fujimoto K, Okumura Y, Miura M, Yee A, Hurramhon S, Fujio K, Akasaki Y, Hirosawa K, Huang T, Ohno M, Morooka Y, Zou X, Kobayashi H, Inomata T. Clinical Utility of Smartphone Applications in Ophthalmology. Ophthalmology Science 2024;4(1):100342
CrossRef -
Alamoudi D, Nabney I, Crawley E. Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep Disturbances. Sensors 2024;24(3):722
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7820):