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Sleep Self-Regulation Using Mental Imagery

Using Mental Imagery to Deliver Self-Regulation Techniques That Target Sleep Initiation Behaviors and Pre-Sleep Arousal

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01648062
Enrollment
104
Registered
2012-07-24
Start date
2008-10-31
Completion date
2010-04-30
Last updated
2012-07-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Insomnia, Sleep Deprivation

Keywords

Sleep, self-regulation, Implementation intentions, intervention, mental simulation

Brief summary

This randomised controlled trial assessed the efficacy of four mental imagery techniques for improving sleep and its related behaviour: (1) imagery focused on reducing arousal levels; (2) imagery incorporating implementation intentions (a strategy designed to link specified behaviour with the anticipated context) for sleep-related behaviour; (3) a combination of imagery using arousal reduction and implementation intention strategies; or (4) a condition where participants were asked to imagine their typical post work activities.

Detailed description

Sleep deprivation is a significant health issue in the modern workplace. We conducted a randomized controlled trial to test the efficacy of techniques involving mental imagery promoting relaxation (arousal reduction; AR) and simulation of the appropriate sleep behavior in the likely environments (implementation intentions; II) in a population of daytime employees

Interventions

BEHAVIORALSleep Self-Regulation Using Mental Imagery

Comparison of two forms of mental imagery to instigate behaviors that assist in the sleeping process

Sponsors

University of Auckland, New Zealand
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
FACTORIAL
Primary purpose
TREATMENT
Masking
DOUBLE (Subject, Investigator)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* ability to read and write in English; * full-time employment; * work shifts during daytime hours (i.e., participants were excluded if they worked night shifts either through the organization or through a secondary job) in a position that provided daily access to email; * a score of five or greater on the Pittsburgh Sleep Quality Inventory (PSQI) which indicates at least moderate difficulties in two or more areas (e.g., sleep quality and daytime dysfunction);

Exclusion criteria

* An identifiable biological cause of current sleep deprivation (e.g., sleep apnoea, narcolepsy, restless leg syndrome, periodic limb movement disorder, or pregnancy) * An identified psychological disorder * Caring for a child under the age of 5 or have a reason outside of work that caused them to regularly lack sleep. * Incomplete data (over 50% of daily data missing or missing final follow-up assessment

Design outcomes

Primary

MeasureTime frameDescription
Sleep QualityBaseline and at 3 weeks. Data will also be presented for every day for the duration of the 3 week period so change can be reported.Assessed using the Pittsburgh Sleep Quality Index (PSQI; Buysse et al, 1989).The PSQI includes 19 items that assess sleep quality, hours of sleep, sleep onset length, sleep efficiency, sleep disturbances, use of medication and daytime. Item ratings are recoded and combined to form seven component scores. These scores are then summed into a global score ranging from 0(no difficulty) to 21(severe difficulties in all areas). Daily sleep quality was assessed with five PSQI items.

Secondary

MeasureTime frameDescription
Negative Sleep HabitsBaseline and Final follow-up (at 21-days)The Sleep Hygiene Index (Mastin et al, 2006). Respondents rate on a scale from 1 (never) to 5 (all the time) how frequently they engaged in 13 behaviors (e.g. I take naps lasting two or more hours). Ratings were summed to provide a total negative sleep habit frequency score.
Sleep EfficacyBaseline and final follow-up (at 21 days)Participants rated their sleep self-efficacy with the item, how confident are you that you can take the actions necessary to get a good sleep tonight? Sleep response efficacy was rated with the item how confident are you that you will actually get a good sleep tonight? ratings ranged from 1 (not at all confident) to 10 (very confident), and they were summed; r=.69, p\<.01 at baseline and r=.20, p\<.05 at final follow-up.
Pre-Sleep ArousalBaseline and final follow-up (Day 21)The Pre-sleep Arousal Scale (Nicasso et al, 1985) includes an 8-item somatic subscale (e.g. how often in the last week before bed have you had a tight, tense feeling in your muscles?) and an 8-item cognitive subscale (e.g. how often in the last week before bed do you review or ponder events of the day?). Ratings range from 1 (not at all) to 5 (extremely) and are summed to generate scores.
Imagery AdherencePost-session, Daily, Final follow-up (21 days)Measure adapted from the Vividness of Imagery Questionnaire (White et al, 1978). Participants rated the vividness of the following images: (1) putting things into a bag, (2) releasing a bag, (3) getting home from work, (4) relaxing at home, (5) their night-time routine, (6) the time that they visualised going to bed, (7) the environment of their bedroom, (8) the details of the bed they are sleeping in, (9) the image of themselves falling asleep. Response options were: 1 (no image at all) 2 (vague and dim), 3 (somewhat vivid), 4 (reasonably clear), and 5 (perfectly clear and vivid).
Action PlanningBaseline, Final follow-up (Day 21)An adaptation of the action planning measure developed by Luszczynska and Schwarzer (2003) was used. The items included: I have made a detailed plan for (1) how I am going to wind down before going to sleep (2) how I am going to prepare for bed (3) how I am going to prepare the place where I will sleep, and (4) the time when I go to sleep. Responses ranged from 1 (not at all) to 7 (very much); ratings were summed to generate scores.

Countries

New Zealand

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026