2019
DOI: 10.2196/12617
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Association Between Improvement in Baseline Mood and Long-Term Use of a Mindfulness and Meditation App: Observational Study

Abstract: BackgroundThe use of smartphone apps to monitor and deliver health care guidance and interventions has received considerable attention recently, particularly with regard to behavioral disorders, stress relief, negative emotional state, and poor mood in general. Unfortunately, there is little research investigating the long-term and repeated effects of apps meant to impact mood and emotional state.ObjectiveWe aimed to investigate the effects of both immediate point-of-intervention and long-term use (ie, at leas… Show more

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Cited by 24 publications
(14 citation statements)
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“…These and other studies (e.g., Athanas et al, 2019) suggest the feasibility and promise of meditation training apps for supporting mental health and wellness in clinical and non-clinical populations. However, 30-day retention rates for traditional mindfulness-based apps are quite low (median 4.7%; Baumel, et al, 2019), suggesting that they may be of limited long-term value for most users.…”
Section: Introductionsupporting
confidence: 54%
“…These and other studies (e.g., Athanas et al, 2019) suggest the feasibility and promise of meditation training apps for supporting mental health and wellness in clinical and non-clinical populations. However, 30-day retention rates for traditional mindfulness-based apps are quite low (median 4.7%; Baumel, et al, 2019), suggesting that they may be of limited long-term value for most users.…”
Section: Introductionsupporting
confidence: 54%
“…(translation: "The mindfulness app"; e.g., [36][37][38][39][40][41][57][58][59]. Fourteen apps were investigated regarding different other variables such as usability and satisfaction in non-RCT or qualitative assessments [60][61][62][63][64][65]. The mindfulness applications offered various standardized methods, including relaxation (n = 153, 80%), breathing (n = 118, 62%) and body exercises (n = 59, 31%), mindfulness (n = 117, 61%), acceptance (n = 28, 15%), and resource management (n = 4, 2%).…”
Section: Evidence-based Ratings and Methodsmentioning
confidence: 99%
“…Using digital phenotyping and smartphone surveys/sensors to better monitor patients' real time, longitudinal, and dynamic experience of mental health is feasible with apps like mindLAMP from our group , Cross Check from Dr. John Kane (Ben-Zeev et al, 2017) and many others like the MONARCHA by Dr. Jakob Bardram plus many more (Bardram and Mati, 2020) These smartphone digital data streams can be used predict relapse (Barnett et al, 2018), and create personalized care plans responsive to the psychological and social environments of patients. Many commercial apps like Stop Breath and Think (Athanas et al, 2019) offer provide realtime interventions for anxiety that can be of help in addressing the widespread anxiety reactions generated by Covid-19 like crises. The United States Department of Veterans' Affairs offers a library of free mental health apps for anyone to use and benefit from.…”
mentioning
confidence: 99%