ClinicalTrials.gg
RecruitingNCT07511374Updated Apr 6, 2026

A Randomized Controlled Ecological Momentary Intervention to Improve Digital Self-Regulation and Well-Being

An interventional study of Ecological momentary intervention in Behavioral Self-monitoring and Metacognitive Reflection, sponsored by The Hong Kong Polytechnic University. Recruiting at 1 site in Hong Kong. Open to participants aged 18 Years to 25 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-04-06.

Sponsored by The Hong Kong Polytechnic University · Not applicable, Interventional, and Prevention

From the registry’s dates

  • Primary completion was expected by May 2026, 5 months ago, but the record still lists the study as recruiting.
  • Started Mar 2026; still recruiting 8 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
240
Allocation
Randomized
Ages
18 Years to 25 Years
Sex
All
01

Study summary

The primary objective of this study is to examine whether an ecological momentary intervention (EMI), combining behavioral self-monitoring (screen time screenshot uploads) and structured reflection, can enhance metacognitive awareness and metacognitive regulation in the context of recreational screen time among young adults.

A secondary objective is to investigate whether improvements in metacognitive processes are associated with subsequent changes in behavioral and psychological outcomes, including recreational screen time (RST), stress, and life satisfaction.

Furthermore, this study aims to elucidate the underlying mechanisms through which the intervention exerts its effects by integrating a randomized controlled trial (RCT) design with intensive longitudinal (daily diary) data.

Specifically, the study addresses the following research questions:

RQ1 (Primary Intervention Effect on Metacognition): Does the EMI lead to higher levels of daily metacognitive awareness and metacognitive regulation (planning, monitoring, and evaluation) compared to the control group? RQ2 (Within-person Associations): At the within-person level, do day-to-day fluctuations in metacognitive awareness and regulation predict same-day and next-day changes in recreational screen time, stress, and life satisfaction? RQ3 (Mediating Mechanism): Do increases in metacognitive awareness and regulation mediate the effects of the EMI on recreational screen time, stress, and life satisfaction? RQ4 (Between-person Effects): At the between-person level, do individuals in the intervention group exhibit higher average levels of metacognitive awareness and regulation, as well as lower recreational screen time and stress and higher life satisfaction, compared to those in the control group?

02

Conditions studied

  • Behavioral Self-monitoring and Metacognitive Reflection

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Keywords

  • self-regulation
  • metacognition-based intervention
  • reflection
  • digital ecological momentary intervention
03

In context

Self-Control

168 studies on the registry are indexed under Self-Control; 22 are open to participants now.

This study's planned enrollment of 240 is above the median of 88 across 144 interventional studies indexed under Self-Control.

Browse Self-Control studies →

Lead sponsor

The Hong Kong Polytechnic University is the lead sponsor of 679 studies on the registry; 257 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 25 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Participants must meet all of the following criteria:

  1. Age between 18 and 25 years old.
  2. Own and regularly use a smartphone.
  3. Report an average daily recreational screen time of at least 3 hours on weekdays or 4 hours on weekends, based on self-report (Zablotsky et al., 2025).
  4. Be able to access their device's built-in screen time tracking function (or equivalent system-level usage report) and upload screenshots when required.
  5. Be willing and able to complete daily surveys throughout the full study period.
  6. Indicate motivation to reduce or regulate their recreational screen use.

Exclusion criteria

Exclusion Criteria:

  1. Outside the age range of 18-25 years.
  2. Do not own a smartphone or do not use it regularly.
  3. Report average daily recreational screen time below 3 hours on weekdays and below 4 hours on weekends.
  4. Are unable to access device-based screen time tracking functions or cannot provide valid screenshots when required.
  5. Are unwilling or unable to complete daily surveys across the study period (e.g., anticipated non-compliance, scheduling constraints).
  6. Do not express motivation to reduce or regulate their recreational screen use.
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
240 participants (estimated)

Study arms

  • Experimental
    Ecological Momentary Intervention Group

    Participants in the intervention group will receive a composite ecological momentary intervention that integrates behavioral self-monitoring and metacognitive reflection. Specifically, each day participants will: 1. Upload a screenshot of their device-recorded screen time (e.g., iOS Screen Time or Android Digital Wellbeing), serving as a form of behavioral self-monitoring. 2. Complete structured reflection prompts designed to activate metacognitive processes, including reflection on: (1) total recreational screen time, (2) usage contexts (e.g., situations or triggers), (3) awareness of potential overuse, and (4) use of regulation strategies (e.g., planning, monitoring, evaluation). In addition, participants will complete daily measures of metacognitive awareness, metacognitive regulation, stress, and life satisfaction.

    Behavioral: Ecological momentary intervention

  • No intervention
    Control Group

    Participants in the control group will complete the same daily diary measures of metacognitive awareness, metacognitive regulation, stress, and life satisfaction, but will not engage in screen time self-monitoring (i.e., no screenshot uploads) and will not receive any structured reflection prompts.

Interventions

  • BehavioralEcological momentary intervention

    A composite ecological momentary intervention that integrates behavioral self-monitoring and metacognitive reflection. Specifically, each day participants will: 1. Upload a screenshot of their device-recorded screen time (e.g., iOS Screen Time or Android Digital Wellbeing), serving as a form of behavioral self-monitoring. 2. Complete structured reflection prompts designed to activate metacognitive processes, including reflection on: (1) total recreational screen time, (2) usage contexts (e.g., situations or triggers), (3) awareness of potential overuse, and (4) use of regulation strategies (e.g., planning, monitoring, evaluation).

06

What researchers measure

Primary outcomes

  1. Daily Metacognitive Awareness

    Daily Metacognitive Awareness assesses the extent to which participants were consciously aware of their motivations and tendencies regarding recreational screen use on that day, which adapted from metacognitive awareness dimension in Metacognition about Regulating Recreational Screen Time Scale (McRST). Sample items include: "Today, I was aware of why I wanted to use my device for recreational purposes." Items are rated on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). Higher scores indicate greater daily metacognitive awareness.

    Time frame: 14-day dairy

  2. Daily Recreational Screen Time

    Daily Recreational Screen Time is assessed using both subjective self-reports and objective device-recorded data in order to enhance measurement validity and reduce recall bias. Recreational screen time is defined as non-work and non-study device use, including activities such as social media browsing, video streaming, gaming, and other entertainment-related engagement.

    Time frame: 14-day dairy

  3. Metacognitive skills

    Metacognitive skills will be assessed using the Metacognition about Regulating Recreational Screen Time Scale (Mc-RST). The scale captures individuals' knowledge, beliefs, and perceived efficacy regarding their ability to regulate recreational screen use. Participants rated on a 5-point Likert scale, with higher scores indicating stronger metacognitive awareness and perceived regulatory capacity.

    Time frame: baseline, day 15 (t1)

Secondary outcomes

  1. Daily Stress

    Daily Stress is assessed using brief items adapted to capture day-specific perceived stress. Participants indicate the extent to which statements such as "Today, I felt stressed," "Today, I felt overwhelmed," and "Today, I found it difficult to cope with daily demands" describe their experience. Responses are rated on a 5-point scale ranging from 1 (not at all) to 5 (very much), with higher scores indicating greater daily stress.

    Time frame: 14-day dairy

  2. Daily Life Satisfaction

    Daily Life Satisfaction captures participants' cognitive evaluation of their day. Participants respond to items such as "Overall, I was satisfied with today," "Today was close to my ideal day," and "I feel positive about how today went." Responses are rated on a 5-point scale ranging from 1 (strongly disagree) to 5 (strongly agree). Higher scores indicate greater daily life satisfaction.

    Time frame: 14-day dairy

  3. Internet addiction

    Internet addiction will be measured using the revised Chinese Internet Addiction Scale (CIAS-R; Bai \& Fan, 2005), which assesses core symptoms and related problems of excessive Internet use, including compulsive use, withdrawal, tolerance, interpersonal difficulties, and time management issues. Participants responded to items based on their experiences over the past year using a 4-point scale, with higher scores indicating greater levels of problematic Internet use.

    Time frame: baseline, day 15 (t1)

  4. Short-form video addiction

    Short-form video addiction will be assessed using the Bergen Short Video Addiction Scale (Qu et al., 2024), which captures key components of addictive behavior, including salience, mood modification, tolerance, withdrawal, conflict, and relapse. Items were rated on a 5-point frequency scale, with higher scores indicating more severe short-form video addiction.

    Time frame: baseline; day 15(t1)

  5. Depressive symptoms

    Depressive symptoms will be measured using the Patient Health Questionnaire-9 (PHQ-9; Leung et al., 2020), which assesses the frequency of depressive symptoms over the past two weeks. Each item was rated on a 4-point scale, with higher total scores indicating more severe depressive symptoms.

    Time frame: baseline; day 15(t1)

  6. Anxiety symptoms

    Anxiety symptoms will be assessed using the Generalized Anxiety Disorder-7 scale (GAD-7; He et al., 2010), which evaluates the frequency of anxiety-related symptoms over the past two weeks. Items were rated on a 4-point scale, with higher scores indicating higher levels of anxiety.

    Time frame: baseline; day 15(t1)

  7. Perceived stress

    Perceived stress will be measured using the Chinese version of the Perceived Stress Scale (CPSS; Yang \& Huang, 2003), which assesses the extent to which individuals perceive their lives as unpredictable, uncontrollable, and overloaded. Participants rated items on a 5-point scale, with higher scores indicating higher perceived stress.

    Time frame: baseline; day 15(t1)

  8. Self-control

    Self-control will be assessed using the Chinese version of the Self-Control Scale (SCS; Unger et al., 2016), which measures individuals' ability to regulate impulses and maintain goal-directed behavior. Items were rated on a 6-point scale, and higher average scores indicate stronger self-control capacity.

    Time frame: baseline; day 15(t1)

  9. Life satisfaction

    Life satisfaction will be measured using the Satisfaction with Life Scale (SWLS; Diener et al., 1985), which assesses global cognitive judgments of one's life satisfaction. Participants rated five items on a 7-point Likert scale, with higher scores indicating greater life satisfaction.

    Time frame: baseline; day 15(t1)

  10. Fear of missing out (FoMO)

    Fear of missing out (FoMO) will be assessed using a validated FoMO scale (Przybylski et al., 2013; Li et al., 2019), which captures individuals' anxiety related to missing rewarding experiences or social interactions. Items were rated on a 5-point scale, with higher scores indicating higher levels of FoMO.

    Time frame: baseline; day 15(t1)

07

Study locations

1 of 1 sites recruiting
  • The Hong Kong Polythechnic University
    Hong Kong, Select An Option…, Hong Kong
    Recruiting
08

References and documents

Publications

  • Zhou H, Dang L, Lam LW, Zhang MX, Wu AMS. A cross-lagged panel model for testing the bidirectional relationship between depression and smartphone addiction and the influences of maladaptive metacognition on them in Chinese adolescents. Addict Behav. 2021 Sep;120:106978. doi: 10.1016/j.addbeh.2021.106978. Epub 2021 May 4. PubMed 33971499 ↗
  • Twenge JM, Campbell WK. Media Use Is Linked to Lower Psychological Well-Being: Evidence from Three Datasets. Psychiatr Q. 2019 Jun;90(2):311-331. doi: 10.1007/s11126-019-09630-7. PubMed 30859387 ↗
  • Twenge JM, Campbell WK. Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Prev Med Rep. 2018 Oct 18;12:271-283. doi: 10.1016/j.pmedr.2018.10.003. eCollection 2018 Dec. PubMed 30406005 ↗
  • Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008;4:1-32. doi: 10.1146/annurev.clinpsy.3.022806.091415. PubMed 18509902 ↗
  • Santos RMS, Mendes CG, Sen Bressani GY, de Alcantara Ventura S, de Almeida Nogueira YJ, de Miranda DM, Romano-Silva MA. The associations between screen time and mental health in adolescents: a systematic review. BMC Psychol. 2023 Apr 20;11(1):127. doi: 10.1186/s40359-023-01166-7. PubMed 37081557 ↗
  • Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Ann Behav Med. 2018 May 18;52(6):446-462. doi: 10.1007/s12160-016-9830-8. PubMed 27663578 ↗
  • Madigan S, Browne D, Racine N, Mori C, Tough S. Association Between Screen Time and Children's Performance on a Developmental Screening Test. JAMA Pediatr. 2019 Mar 1;173(3):244-250. doi: 10.1001/jamapediatrics.2018.5056. PubMed 30688984 ↗
  • Curran PJ, Bauer DJ. The disaggregation of within-person and between-person effects in longitudinal models of change. Annu Rev Psychol. 2011;62:583-619. doi: 10.1146/annurev.psych.093008.100356. PubMed 19575624 ↗
  • Howard, S. J., Hayes, N., Mallawaarachchi, S., Johnson, D., Neilsen-Hewett, C., Mackenzie, J., ... & White, S. L. (2025). A meta-analysis of self-regulation and digital recreation from birth to adolescence. Computers in Human Behavior, 163, 108472.
  • Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol. 2010 Feb;15(Pt 1):1-39. doi: 10.1348/135910709X466063. Epub 2009 Jul 28. PubMed 19646331 ↗
  • Haddock A, Ward N, Yu R, O'Dea N. Positive Effects of Digital Technology Use by Adolescents: A Scoping Review of the Literature. Int J Environ Res Public Health. 2022 Oct 27;19(21):14009. doi: 10.3390/ijerph192114009. PubMed 36360887 ↗
  • Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906-911. https://doi.org/10.1037/0003-066X.34.10.906
  • Ellis, D. A., Davidson, B. I., Shaw, H., & Geyer, K. (2019). Do smartphone usage scales predict behavior? International Journal of Human-Computer Studies, 130, 86-92. https://doi.org/10.1016/j.ijhcs.2019.05.004
  • Donati MA, Padovani M, Iozzi A, Primi C. Prevention of problematic smartphone use among adolescents: A preliminary study to investigate the efficacy of an intervention based on the metacognitive model. Addict Behav. 2025 Jul;166:108332. doi: 10.1016/j.addbeh.2025.108332. Epub 2025 Mar 19. PubMed 40120187 ↗
  • Common Sense Media. (2015). The Common Sense census: Media use by tweens and teens. Common Sense Media.
  • Bolger, N., & Laurenceau, J. P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. Guilford Press.
  • Billieux, J., & Van der Linden, M. (2012). Problematic use of the Internet and self-regulation: A review of the initial studies. The Open Addiction Journal, 5, 24-29. https://doi.org/10.2174/1874941001205010024

Individual participant data

Plan to share: No — Individual participant data (IPD) will not be publicly shared due to the sensitive nature of the data, which includes detailed daily behavioral records and potentially identifiable digital usage patterns. Although all data will be de-identified, the granularity of longitudinal diary data and screen time records may still pose a risk of re-identification. In addition, data sharing is restricted by institutional ethical approval and participant consent agreements, which limit the use of the data to the current research purposes only. Aggregated data and study materials can be made available upon reasonable request.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Mar 2026 (actual). Primary completion is estimated for May 2026, 2 months after the start.

Of 104 non-industry interventional studies with no phase under Self-Control, half reached primary completion within 16 months of starting (the median), counting those still running; a quarter within 5 and three quarters within 34. This study's planned 2 months is below that.

Counting every sponsor, half of 105 studies reached it within 16 months; a quarter within 5 and three quarters within 34.

How these figures are worked out, and which studies are left out of them.

Registered
Mar 30, 2026
First posted
Apr 6, 2026
StartActual
Mar 1, 2026
Primary completionEst.
May 31, 2026
CompletionEst.
Dec 31, 2026
Last update
Apr 6, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 6, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07511374
Responsible party
Sponsor
First posted
Apr 6, 2026
Start date
Mar 1, 2026
Primary completion
May 31, 2026 (estimated)
Completion
Dec 31, 2026 (estimated)
Last update
Apr 6, 2026

Study contacts

Shiyun Chen, PhD Candidate
Contact
shiyun.chen@connect.polyu.hk
052-46744938

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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