Evening Screen Content and Sleep Architecture in Older Adults: Crossover RCT
The Effect of Evening Technology Use With Calming vs. Exciting Content on Sleep Architecture in Older Adults: A Crossover Randomized Controlled Trial
1 other identifier
interventional
50
1 country
1
Brief Summary
Title The Effect of Evening Technology Use with Calming vs. Exciting Content on Sleep Architecture in Older Adults: A Crossover Randomized Controlled Trial Background The study explores how evening use of digital devices with different types of content (calming vs. exciting) affects sleep in older adults. While technology's effects on sleep have been studied in younger populations, its specific impacts on older adults remain under-researched. This study fills that gap by focusing on subjective and objective sleep measures. Objectives and Research Questions Objective: Compare the effects of calming digital content, exciting digital content, and non-digital activities on sleep architecture. Key Questions: How does content type impact sleep architecture and quality? Does calming content lead to better sleep outcomes than exciting content? Are there subjective differences in sleep quality across conditions?
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Aug 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 12, 2025
CompletedFirst Posted
Study publicly available on registry
June 3, 2025
CompletedStudy Start
First participant enrolled
August 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2026
ExpectedJune 3, 2025
May 1, 2025
9 months
May 12, 2025
May 31, 2025
Conditions
Outcome Measures
Primary Outcomes (7)
Sleep architecture REM
Sleep architecture containing sleep stages REM - Random eye movement stage.
Nightly during each participant's 7-day intervention periods - Week 1 (Days 1-7), Week 3 (Days 15-21), and Week 5 (Days 29-35) after that participant's enrollment; up to 5 weeks per participant.
Sleep architecture Deep Sleep
Sleep architecture containing sleep stages, Deep sleep
Nightly during each participant's 7-day intervention periods - Week 1 (Days 1-7), Week 3 (Days 15-21), and Week 5 (Days 29-35) after that participant's enrollment; up to 5 weeks per participant.
Sleep architecture, light sleep
Sleep architecture containing sleep stages, light sleep
Nightly during each participant's 7-day intervention periods - Week 1 (Days 1-7), Week 3 (Days 15-21), and Week 5 (Days 29-35) after that participant's enrollment; up to 5 weeks per participant.
Sleep latency (time to fall asleep)
time to fall asleep- through EEG headband
Nightly during each participant's 7-day intervention periods - Week 1 (Days 1-7), Week 3 (Days 15-21), and Week 5 (Days 29-35) after that participant's enrollment; up to 5 weeks per participant.
Total sleep time (TST)
Total amount or duration of sleep
Nightly during each participant's 7-day intervention periods - Week 1 (Days 1-7), Week 3 (Days 15-21), and Week 5 (Days 29-35) after that participant's enrollment; up to 5 weeks per participant.
Sleep efficiency (SE)
Sleep efficiency (SE)- Sleep efficiency is the percentage of time in bed actually spent sleeping. It is calculated by dividing total sleep time by total time spent in bed and multiplying by 100. Higher sleep efficiency suggests less wakefulness during the night and better overall sleep quality.
Nightly during each participant's 7-day intervention periods - Week 1 (Days 1-7), Week 3 (Days 15-21), and Week 5 (Days 29-35) after that participant's enrollment; up to 5 weeks per participant.
Wake up after sleep onset (WASO).
Wake up after sleep onset (WASO).WASO measures the cumulative amount of time a participant spends awake after initially falling asleep, until final morning awakening. Elevated WASO values may indicate fragmented or disrupted sleep, which can negatively affect sleep quality and daytime functioning.
Nightly during each participant's 7-day intervention periods - Week 1 (Days 1-7), Week 3 (Days 15-21), and Week 5 (Days 29-35) after that participant's enrollment; up to 5 weeks per participant.
Secondary Outcomes (3)
Subjective sleep quality
Each morning from Day 1 through Day 35 after each participant's enrollment, covering all intervention and washout weeks; up to 5 weeks per participant
Comfort of using the EEG headband
Each morning during each participant's 7-day intervention periods - Week 1 (Days 1-7), Week 3 (Days 15-21), and Week 5 (Days 29-35) after that participant's enrollment; up to 5 weeks per participant
Intervention Adherence
Each morning during each participant's 7-day intervention periods - Week 1 (Days 1-7), Week 3 (Days 15-21), and Week 5 (Days 29-35) after that participant's enrollment; up to 5 weeks per participant
Other Outcomes (1)
Baseline survey
Baseline (Day 0, at enrollment; one-time survey)
Study Arms (3)
Calming Digital Content
EXPERIMENTALParticipants will watch calming digital content - specifically, nature documentaries narrated by Sir David Attenborough - for 30 to 60 minutes within one hour before bedtime. Sleep outcomes will be assessed using EEG recordings and subjective sleep quality logs.
Exciting Digital Content
EXPERIMENTALParticipants will engage with exciting digital content by playing the word-based game Ruzzle for 30 to 60 minutes within one hour before bedtime. Sleep outcomes will be evaluated using EEG measurements and subjective sleep assessments.
Non-Digital Pre-Sleep Activity
ACTIVE COMPARATORParticipants will engage in a non-digital activity by reading a physical, non-fiction book of their choice for 30 to 60 minutes within one hour before bedtime. No digital screens will be used. Sleep outcomes will be monitored via EEG data and self-reported sleep quality measures.
Interventions
Participants watch a curated selection of soothing documentaries narrated by Sir David Attenborough for 30-60 minutes each evening during one hour before bedtime.
Participants engage with the interactive word-based game Ruzzle for 30-60 minutes each evening during one hour before bedtime, designed to provide mental stimulation.
Participants read a non-fiction book of their choice for the same duration, avoiding all digital screens during one hour before bedtime before bedtime.
Eligibility Criteria
You may qualify if:
- Age 60 - 75 years
- Regular evening use of digital devices (e.g., smartphones or tablets)
- Willing and able to wear an EEG headband for sleep monitoring throughout the intervention
You may not qualify if:
- Diagnosed sleep disorder
- Severe cognitive impairment
- Current use of medications that significantly influence sleep (e.g., melatonin, benzodiazepines)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Blekinge Institute of Technology
Karlskrona, Blekinge County, SE-371 79, Sweden
Study Officials
- PRINCIPAL INVESTIGATOR
Peter Anderberg, PhD
Blekinge Institute of Technology
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- SCREENING
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 12, 2025
First Posted
June 3, 2025
Study Start
August 1, 2025
Primary Completion
May 1, 2026
Study Completion (Estimated)
December 1, 2026
Last Updated
June 3, 2025
Record last verified: 2025-05
Data Sharing
- IPD Sharing
- Will not share
Individual Participant Data (IPD) will not be shared publicly because the study involves sensitive sleep and health-related data from older adult participants. To protect participant privacy and confidentiality, the data will remain anonymized and securely stored for analysis by the research team only. Public sharing of individual-level data is not planned.