TY - JOUR
T1 - Characteristics and usage patterns in a convenience sample of paid subscribers to calm meditation app
T2 - Cross-sectional survey
AU - Huberty, Jennifer
AU - Vranceanu, Ana Maria
AU - Carney, Colleen
AU - Breus, Michael
AU - Gordon, Michael
AU - Puzia, Megan Elizabeth
N1 - Publisher Copyright:
© 2019 Jennifer Huberty, Ana-Maria Vranceanu, Colleen Carney, Michael Breus, Michael Gordon, Megan Elizabeth Puzia.
PY - 2019/11
Y1 - 2019/11
N2 - Background: Meditation has become increasingly popular due to its health benefits; however, barriers to delivering meditation programs in traditional group-based formats limit the accessibility of these benefits. Smartphone-based meditation may increase the availability of these programs to larger, more diverse audiences; however, research on subscriber characteristics and usage patterns in meditation mobile apps is lacking. Objective: This study aimed to describe the demographics, clinical characteristics, and usage patterns of a convenience sample of Calm subscribers and explore the relationship between self-reported app usage and changes in health, stress, and sleep. Methods: Participants were 12,151 paying Calm subscribers (response rate=12.08%, 12,151/100,594) who completed an anonymous Web-based survey with 11 quantitative questions related to user engagement, reasons for starting Calm, and changes after using the app. Demographic characteristics, chronic health diagnoses, and sleep difficulties were also assessed. Chi-square tests were used to examine differences in app usage. Logistic regression models were used to examine demographic and health characteristics that may predict changes in health, stress, and sleep. Results: Respondents were 18-96 years old (mean 48.57 [SD 13.79]), primarily female (79.94%, 8778/10,981), white (81.41%, 8959/11,005), and most reported a chronic health diagnosis (56.86%, 6289/11,061). Mental health diagnoses (41.13%, 4549/11,061) were more common than physical health diagnoses (32.19%, 3560/11,061). Most respondents (76.31%, 8684/11,360) reported difficulties falling or staying asleep. On average, respondents had been using Calm for 11.49 months (SD 10.49), and 60.03% (7281/12,129) used it 5 or more times per week. Meditations (used by 80.02%, 9497/11,841) and Sleep Stories (55.66%, 6591/11,841) were the most popular components. The frequency of using Calm was associated with incremental increases in the likelihood of noticing changes in mental health (χ2 2=136.8; P<.001), physical health (χ2 2=102.8; P<.001), stress (χ2 2=128.1; P<.001), and sleep (χ2 2=141.4; P<.001). Respondents who had used Calm longer were also more likely to notice changes in mental health (OR 1.06 [95% CI 1.05 to 1.06]), physical health (OR 1.01 [95% CI 1.01 to 1.02]), stress (OR 1.04 [95% CI 1.04 to 1.05]), and sleep (OR 1.004 [95% CI 1.00 to 1.01]). Subscribers with sleep difficulties used Calm more frequently (χ8 2=11.5; P=.003), were more likely to use Sleep Stories (χ1 2=1590.2; P<.001), and were more likely to notice changes in their physical health (χ1 2=49.2; P<.001) and sleep (χ1 2=2391.1; P<.001).
AB - Background: Meditation has become increasingly popular due to its health benefits; however, barriers to delivering meditation programs in traditional group-based formats limit the accessibility of these benefits. Smartphone-based meditation may increase the availability of these programs to larger, more diverse audiences; however, research on subscriber characteristics and usage patterns in meditation mobile apps is lacking. Objective: This study aimed to describe the demographics, clinical characteristics, and usage patterns of a convenience sample of Calm subscribers and explore the relationship between self-reported app usage and changes in health, stress, and sleep. Methods: Participants were 12,151 paying Calm subscribers (response rate=12.08%, 12,151/100,594) who completed an anonymous Web-based survey with 11 quantitative questions related to user engagement, reasons for starting Calm, and changes after using the app. Demographic characteristics, chronic health diagnoses, and sleep difficulties were also assessed. Chi-square tests were used to examine differences in app usage. Logistic regression models were used to examine demographic and health characteristics that may predict changes in health, stress, and sleep. Results: Respondents were 18-96 years old (mean 48.57 [SD 13.79]), primarily female (79.94%, 8778/10,981), white (81.41%, 8959/11,005), and most reported a chronic health diagnosis (56.86%, 6289/11,061). Mental health diagnoses (41.13%, 4549/11,061) were more common than physical health diagnoses (32.19%, 3560/11,061). Most respondents (76.31%, 8684/11,360) reported difficulties falling or staying asleep. On average, respondents had been using Calm for 11.49 months (SD 10.49), and 60.03% (7281/12,129) used it 5 or more times per week. Meditations (used by 80.02%, 9497/11,841) and Sleep Stories (55.66%, 6591/11,841) were the most popular components. The frequency of using Calm was associated with incremental increases in the likelihood of noticing changes in mental health (χ2 2=136.8; P<.001), physical health (χ2 2=102.8; P<.001), stress (χ2 2=128.1; P<.001), and sleep (χ2 2=141.4; P<.001). Respondents who had used Calm longer were also more likely to notice changes in mental health (OR 1.06 [95% CI 1.05 to 1.06]), physical health (OR 1.01 [95% CI 1.01 to 1.02]), stress (OR 1.04 [95% CI 1.04 to 1.05]), and sleep (OR 1.004 [95% CI 1.00 to 1.01]). Subscribers with sleep difficulties used Calm more frequently (χ8 2=11.5; P=.003), were more likely to use Sleep Stories (χ1 2=1590.2; P<.001), and were more likely to notice changes in their physical health (χ1 2=49.2; P<.001) and sleep (χ1 2=2391.1; P<.001).
KW - Consumer behavior
KW - Health
KW - Mindfulness
KW - Mobile health
KW - Psychological stress
KW - Sleep
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U2 - 10.2196/15648
DO - 10.2196/15648
M3 - Review article
C2 - 31682582
AN - SCOPUS:85074547739
SN - 2291-5222
VL - 7
JO - JMIR mHealth and uHealth
JF - JMIR mHealth and uHealth
IS - 11
M1 - e15648
ER -