A ten-step behavioural intervention to reduce screen time and problematic smartphone use

Problematic smartphone use is rising across the world and has been associated with reductions in concentration and well-being. Few interventions aiming to reduce smartphone use take a multi-faceted approach that balances feasibility and effectiveness. We developed such an intervention with ten simple guidelines that nudge users to reduce their screen time (e.g., disabling non-essential notifications). Two pre-registered studies tested the intervention. Study 1 (N = 51) found reductions in screen time, problematic smartphone use, and depressive symptoms after two weeks. Study 2 (N = 70) found that the intervention caused larger changes in screen time, problematic smartphone use, and sleep quality than a control group of screen time monitoring alone. Our brief intervention reduced screen time by one hour per day and returned problematic smartphone use scores to normal levels for at least six weeks. This intervention provides simple, scalable, and feasible behavioural guidelines to promote healthy technology use.

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Smartphone addiction is increasing across the world: A meta-analysis of 24 countries

10.31234/osf.io/fsn6v ◽

2020 ◽

Author(s):

Jay A. Olson ◽

Dasha Sandra ◽

Élissa S. Colucci ◽

Alain Al Bikaii ◽

Johnny Nahas ◽

...

Keyword(s):

Screen Time ◽

Meta Analysis ◽

Global Scale ◽

Smartphone Addiction ◽

Problematic Smartphone Use ◽

Targeted Interventions ◽

The World ◽

Teenagers And Young Adults ◽

Smartphone Use ◽

Global Norms

Smartphone ownership and screen time are increasing across the world, but there have been few attempts to quantify smartphone addiction on a global scale. We conducted a meta-analysis of studies published between 2014 and 2020 that used the Smartphone Addiction Scale, the most common measure of problematic smartphone use. This scale measures whether smartphone use interferes with one’s daily life. We focused on studies of teenagers and young adults (aged 15 to 35) since they show the highest screen time and smartphone ownership rates. Across 85 samples, 24 countries, and 39,292 participants, we demonstrate that problematic smartphone use is increasing across the world. China, Saudi Arabia, and Malaysia had the highest scores while Switzerland, Germany, and France had the lowest. Our results provide global norms for researchers and can help identify countries that could benefit from targeted interventions.

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Examining the accuracy of estimated smartphone use: How well-being and usage level predict discrepancies between estimated and actual use

10.31234/osf.io/3sju4 ◽

2019 ◽

Author(s):

Craig Sewall ◽

Daniel Rosen ◽

Todd M. Bear

Keyword(s):

Public Health ◽

Social Media ◽

Life Satisfaction ◽

Mobile Device ◽

Screen Time ◽

Well Being ◽

Actual Use ◽

Smartphone Use ◽

Usage Level

The increasing ubiquity of mobile device and social media (SM) use has generated a substantial amount of research examining how these phenomena may impact public health. Prior studies have found that mobile device and SM use are associated with various aspects of well-being. However, a large portion of these studies relied upon self-reported estimates to measure amount of use, which can be inaccurate. Utilizing Apple’s “Screen Time” application to obtain actual iPhone and SM use data, the current study examined the accuracy of self-reported estimates, how inaccuracies bias relationships between use and well-being (depression, loneliness, and life satisfaction), and the degree to which inaccuracies were predicted by levels of well-being. Among a sample of 393 iPhone users, we found that: a.) participants misestimated their weekly overall iPhone and SM use by 22.1 and 16.6 hours, respectively; b.) the correlations between estimated use and well-being variables were consistently stronger than the correlations between actual use and well-being variables; and c.) the amount of inaccuracy in estimated use is associated with levels of participant well-being as well as amount of use. These findings suggest that estimates of device/SM use may be biased by factors that are fundamental to the relationships being investigated. **This manuscript is currently under review**

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Effectiveness of a Mobile Device–Based Resilience Training Program in Reducing Depressive Symptoms and Enhancing Resilience and Quality of Life in Parents of Children With Cancer: Randomized Controlled Trial (Preprint)

10.2196/preprints.27639 ◽

2021 ◽

Author(s):

Yuanhui Luo ◽

Wei Xia ◽

Ankie Tan Cheung ◽

Laurie Long Kwan Ho ◽

Jingping Zhang ◽

...

Keyword(s):

Depressive Symptoms ◽

Training Program ◽

Mobile Device ◽

Well Being ◽

Control Group ◽

Children With Cancer ◽

Resilience Training ◽

Experimental Group

BACKGROUND Caring for children with cancer can be a stressful experience for parents and may have negative effects on their physical and psychological well-being. Although evidence has shown that resilience is associated with positive psychological well-being, few interventions have been specifically designed to enhance the resilience of parents of children with cancer. OBJECTIVE The aim of this study is to examine the effectiveness of a mobile device–based resilience training program in reducing depressive symptoms and enhancing resilience and quality of life (QoL) in parents of children with cancer. METHODS Parents of children diagnosed with cancer were recruited from the pediatric oncology wards of 3 tertiary hospitals in China. The participants were randomly assigned to either the experimental group (52/103, 50.5%) to undergo an 8-week mobile device–based resilience training program or to the control group (51/103, 49.5%) to receive an 8-week program of placebo information. The study outcomes included resilience, depressive symptoms, and QoL, as measured by the Connor–Davidson Resilience Scale, the Self-Rating Depression Scale, and the Short Form of the 6-Dimension Health Survey, respectively. All data were collected at baseline and at 2 and 6 months of follow-up. The data analysis followed the intention-to-treat principle. A generalized estimating equation was used to examine the effects of the intervention. RESULTS The participants were mostly female (72/103, 69.9%), and their mean age was 33.6 (SD 5.2) years. The participants in the experimental group showed significantly higher levels of resilience (mean 67.96, SD 15.8 vs mean 58.27, SD 19.0; P<.001) and lower levels of depressive symptoms (mean 40.17, SD 9.9 vs mean 46.04, SD 10.9; P<.001) than those in the control group at 6 months of follow-up. The intervention showed statistically significant effects in improving resilience (β=6.082; P=.01) and decreasing depressive symptoms (β=−2.772; P=.04) relative to the control group. The QoL score in the experimental group was higher than that in the control group at 6 months of follow-up (mean 0.79, SD 0.2 vs mean 0.76, SD 0.3; P=.07); however, no statistically significant intervention effect was detected (β=.020; P=.38). CONCLUSIONS The mobile device–based resilience training program effectively enhanced resilience and alleviated depressive symptoms in parents of children with cancer. It is highly recommended that health care professionals incorporate this resilience training program when providing psychological care to parents of children with cancer. CLINICALTRIAL Clinical.Trials.gov NCT04038242; http://clinicaltrials.gov/ct2/show/NCT04038242

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Effectiveness of a Mobile Device–Based Resilience Training Program in Reducing Depressive Symptoms and Enhancing Resilience and Quality of Life in Parents of Children With Cancer: Randomized Controlled Trial

Journal of Medical Internet Research ◽

10.2196/27639 ◽

2021 ◽

Vol 23 (11) ◽

pp. e27639

Author(s):

Yuanhui Luo ◽

Wei Xia ◽

Ankie Tan Cheung ◽

Laurie Long Kwan Ho ◽

Jingping Zhang ◽

...

Keyword(s):

Depressive Symptoms ◽

Training Program ◽

Mobile Device ◽

Well Being ◽

Control Group ◽

Children With Cancer ◽

Resilience Training ◽

Experimental Group

Background Caring for children with cancer can be a stressful experience for parents and may have negative effects on their physical and psychological well-being. Although evidence has shown that resilience is associated with positive psychological well-being, few interventions have been specifically designed to enhance the resilience of parents of children with cancer. Objective The aim of this study is to examine the effectiveness of a mobile device–based resilience training program in reducing depressive symptoms and enhancing resilience and quality of life (QoL) in parents of children with cancer. Methods Parents of children diagnosed with cancer were recruited from the pediatric oncology wards of 3 tertiary hospitals in China. The participants were randomly assigned to either the experimental group (52/103, 50.5%) to undergo an 8-week mobile device–based resilience training program or to the control group (51/103, 49.5%) to receive an 8-week program of placebo information. The study outcomes included resilience, depressive symptoms, and QoL, as measured by the Connor–Davidson Resilience Scale, the Self-Rating Depression Scale, and the Short Form of the 6-Dimension Health Survey, respectively. All data were collected at baseline and at 2 and 6 months of follow-up. The data analysis followed the intention-to-treat principle. A generalized estimating equation was used to examine the effects of the intervention. Results The participants were mostly female (72/103, 69.9%), and their mean age was 33.6 (SD 5.2) years. The participants in the experimental group showed significantly higher levels of resilience (mean 67.96, SD 15.8 vs mean 58.27, SD 19.0; P<.001) and lower levels of depressive symptoms (mean 40.17, SD 9.9 vs mean 46.04, SD 10.9; P<.001) than those in the control group at 6 months of follow-up. The intervention showed statistically significant effects in improving resilience (β=6.082; P=.01) and decreasing depressive symptoms (β=−2.772; P=.04) relative to the control group. The QoL score in the experimental group was higher than that in the control group at 6 months of follow-up (mean 0.79, SD 0.2 vs mean 0.76, SD 0.3; P=.07); however, no statistically significant intervention effect was detected (β=.020; P=.38). Conclusions The mobile device–based resilience training program effectively enhanced resilience and alleviated depressive symptoms in parents of children with cancer. It is highly recommended that health care professionals incorporate this resilience training program when providing psychological care to parents of children with cancer. Trial Registration Clinical.Trials.gov NCT04038242; http://clinicaltrials.gov/ct2/show/NCT04038242

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Stress, Mood, and Smartphone Use in University Students: A 12-week Longitudinal Study

10.31219/osf.io/frvpb ◽

2021 ◽

Author(s):

Abigail Bradley ◽

Andrea Howard

Keyword(s):

Longitudinal Study ◽

University Students ◽

Undergraduate Students ◽

Screen Time ◽

Multilevel Models ◽

Well Being ◽

Mood States ◽

Stress Levels ◽

Smartphone Use ◽

Screen Use

The current study used device-logged screen time records to measure week-to-week within-person associations between stress and smartphone use in undergraduate students (N = 187, Mage = 20.1) during Fall 2020, focusing on differences across types of app used and whether accumulated screen use each week predicted end-of-week mood states. Participants uploaded weekly screenshots from their “Screen Time” settings display and completed surveys measuring stress, mood, and COVID-19 experiences. Results of multilevel models showed no week-to-week change in smartphone hours of use or device pickups. Higher stress levels were not concurrently associated with heavier smartphone use, either overall or by type of app. Heavier smartphone use in a given week did not predict end-of-week mood states, but students who tended to spend more time on their phones in general reported slightly worse moods—a between-person effect potentially reflecting deficits in well-being that are present in students’ offline lives as well. Our findings contribute to a growing scholarly consensus that time spent on smartphones tells us little about young people’s well-being.

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Temporal digital control: Theorizing the use of digital technologies to provide a temporal autonomous space

Time & Society ◽

10.1177/0961463x19886739 ◽

2019 ◽

Vol 29 (3) ◽

pp. 794-812

Author(s):

Nicola F Johnson

Keyword(s):

Digital Control ◽

Screen Time ◽

Real Life ◽

Digital Technologies ◽

Well Being ◽

Temporal Control ◽

Digital Device ◽

Digital Devices ◽

Life Itself ◽

Smartphone Use

Screen time once referred to television. Nowadays, it includes various screen sizes that are internet-enabled devices, and the pervasive smartphone. Regardless of what kind of screen is used, screen time comprises much of life itself. Being online and offline is now fairly blurred because of the ubiquitousness of technologies, Wi-Fi and screens. This paper puts forth the notion of ‘temporal digital control’ to explain the choice of when and why smartphones and other portable digital devices are used in today’s cultural milieu, and it theorizes the ‘why’ of contemporary smartphone use is so prominent suggesting it enables temporal digital control in an autonomous space. Coupled with the engrossment of such use, the article elaborates how gazing at a digital device comprises a temporal connection, alongside a disconnection from real life, and a possible inauthenticity that could affect well-being. Recently published literature on ‘waiting’ is included to help theorize why actors choose to use digital technologies while waiting. Being preoccupied, or busy, or doing something with one’s smartphone while waiting creates a sense of alleged status, importance or connection in the form of digital temporal control. An array of vignettes is provided to demonstrate agentic disengagement with the present in a preference for moving into a temporal autonomous space of ‘perceived’ digital control. When gazing at and using a digital device, users are arguably disengaging with the temporal present, disconnecting with others who may be beside them, in preference to the creation of temporal (and digital) autonomous spaces. Regardless of what the user is doing on their smartphone or device, the use of technologies can provide a temporal autonomous space of digital control.

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Acceptance and commitment therapy for the treatment of depression in persons with physical disability: a randomized controlled trial

Clinical Rehabilitation ◽

10.1177/0269215520923135 ◽

2020 ◽

Vol 34 (7) ◽

pp. 938-947 ◽

Cited By ~ 1

Author(s):

Mehdi Zemestani ◽

Sharmin Mozaffari

Keyword(s):

Emotion Regulation ◽

Depressive Symptoms ◽

Controlled Trial ◽

Psychological Flexibility ◽

Well Being ◽

Control Group ◽

Psychological Well Being ◽

Randomized Controlled ◽

Acceptance And Commitment ◽

Experimental Group

Objective: To evaluate the effectiveness of acceptance and commitment therapy (ACT) on depressive symptoms in physically disabled persons. Design: Randomized controlled trial. Setting: State welfare organization in Kamyaran, Kurdistan, Iran. Participants: Fifty-two physically disabled participants with a primary diagnosis of depression were randomly assigned to either ACT or control groups. Interventions: Participants in the ACT group ( n = 23) received eight weekly 90-minute group sessions based on standard ACT protocol for depression. Participants in the control group ( n = 29) received psychoeducation regarding depression. Main measures: Measures were recorded at baseline, eight weeks (end of treatment), and 16 weeks (follow-up). The outcomes were the change in the depressive symptoms, measured by Beck Depression Inventory-II (BDI-II), psychological flexibility, emotion regulation, and psychological well-being measured by Acceptance and Action Questionnaire-II (AAQ-II), Emotion Regulation Questionnaire (ERQ), and Scales of Psychological Well-Being (SPWB), respectively. Results: After eight weeks, significant changes in depressive symptoms was observed in the experimental group (ACT –10.39 ± 0.79 vs control 0.66 ± 0.68, P < 0.001). Compared to the control group, the experimental group also showed significant improvement in psychological flexibility (ACT 8.13 ± 0.52 vs control –0.03 ± 0.51, P < 0.001), adaptive emotion regulation strategies (ACT 10.74 ± 0.62 vs control 0.03 ± 1.03, P < 0.001), and psychological well-being (ACT 66.95 ± 4.01 vs control –1.90 ± 1.04, P < 0.001). Conclusion: Compared with control group, ACT significantly reduced the participants’ depression, and changed psychological flexibility, emotion regulation, and psychological well-being in persons with physical disability.

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How psychosocial well-being and usage amount predict inaccuracies in retrospective estimates of digital technology use

Mobile Media & Communication ◽

10.1177/2050157920902830 ◽

2020 ◽

Vol 8 (3) ◽

pp. 379-399 ◽

Cited By ~ 3

Author(s):

Craig J. R. Sewall ◽

Todd M. Bear ◽

John Merranko ◽

Daniel Rosen

Keyword(s):

Social Media ◽

Life Satisfaction ◽

Digital Technology ◽

Technology Use ◽

Screen Time ◽

Well Being ◽

Ongoing Debate ◽

Actual Use

Using Apple’s Screen Time application to obtain reported actual iPhone and social media (SM) use, we examined the accuracy of retrospective estimates of usage, how inaccuracies bias associations between use and psychosocial well-being (depression, loneliness, and life satisfaction), and the degree to which inaccuracies were predicted by levels of well-being. Among a sample of 325 iPhone users, we found that (a) participants misestimated their weekly overall iPhone and SM use by 19.1 and 12.2 hours, respectively; (b) correlations between estimated use and well-being variables were consistently stronger than the correlations between reported actual use and well-being variables; and (c) the degree of inaccuracy in estimated use was associated with levels of participant well-being and amount of use. These findings suggest that retrospective estimates of digital technology use may be systematically biased by factors that are fundamental to the associations under investigation. We propose that retrospective estimates of digital technology use may be capturing the construct of perceived use rather than actual use, and discuss how the antecedents, correlates, and consequences of perceived use may be distinct from those of actual use. Implications of these findings are discussed in view of the ongoing debate surrounding the effects of digital technology use on well-being.

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