Rintala, Aki

Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19

Sun, S., Folarin, A. A., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Cummins, N., Matcham, F., Dalla Costa, G., Simblett, S., et al. (2020) · Journal of Medical Internet Research

Human Mobility and Location-Based AnalysisCOVID-19 Digital Contact Tracing

Cited by 256

Compliance and Retention With the Experience Sampling Method Over the Continuum of Severe Mental Disorders: Meta-Analysis and Recommendations

Vachon, H., Viechtbauer, W., Rintala, A., & Myin-Germeys, I. (2019) · Journal of Medical Internet Research

Mental Health Research TopicsSurvey Methodology and Nonresponse

Cited by 252

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

Matcham, F., Leightley, D., Siddi, S., Lamers, F., White, K. M., Annas, P., de Girolamo, G., Difrancesco, S., Haro, J. M., Horsfall, M., et al. (2022) · BMC Psychiatry

Digital Mental Health InterventionsMental Health Research Topics

Cited by 110

Momentary predictors of compliance in studies using the experience sampling method

Rintala, A., Wampers, M., Myin-Germeys, I., & Viechtbauer, W. (2020) · Psychiatry Research

Mental Health Research TopicsSurvey Methodology and Nonresponse

Cited by 68

Predicting depressive symptom severity through individuals’ nearby Bluetooth device count data collected by mobile phones: preliminary longitudinal study

Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Matcham, F., et al. (2021) · JMIR mHealth and uHealth

Mental Health Research TopicsDigital Mental Health Interventions

Cited by 68

Mobile health solutions: an opportunity for rehabilitation in low-and middle income countries?

Bonnechère, B., Kossi, O., Mapinduzi, J., Panda, J., Rintala, A., Guidetti, S., Spooren, A., & Feys, P. (2023) · Frontiers in Public Health

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 41

Effectiveness of physical activity promoting technology-based distance interventions compared to usual care. Systematic review, meta-analysis and meta-regression

Hakala, S., Rintala, A., Immonen, J., Karvanen, J., Heinonen, A., & Sjögren, T. (2017) · European Journal of Physical and Rehabilitation Medicine

Physical Activity and HealthMobile Health and mHealth Applications

Cited by 35

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

Siddi, S., Bailon, R., Giné-Vázquez, I., Matcham, F., Lamers, F., Kontaxis, S., Laporta, E., Garcia, E., Lombardini, F., Annas, P., et al. (2023) · Psychological Medicine

Heart Rate Variability and Autonomic ControlMental Health Research Topics

Cited by 31

The acceptability of real‐time health monitoring among community participants with depression: A systematic review and meta‐analysis of the literature

Girolamo, G., Barattieri di San Pietro, C., Bulgari, V., Dagani, J., Ferrari, C., Hotopf, M., Iannone, G., Macis, A., Matcham, F., Myin‐Germeys, I., et al. (2020) · Depression and Anxiety

Mental Health Research TopicsDigital Mental Health Interventions

Cited by 24

The Effectiveness of Therapeutic Exercise Interventions With Virtual Reality on Balance and Walking Among Persons With Chronic Stroke: Systematic Review, Meta-Analysis, and Meta-Regression of Randomized Controlled Trials

Krohn, M., Rintala, A., Immonen, J., & Sjögren, T. (2024) · Journal of Medical Internet Research

Stroke Rehabilitation and RecoveryBalance, Gait, and Falls Prevention

Cited by 17