Feasibility and effects of a transdiagnostic physical activity counseling program in adolescent psychiatric patients

Feasibility and effects of a transdiagnostic physical activity counseling program in adolescent psychiatric patients - TRANSPAC

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

DRKS

Registry ID

DRKS00028027

Enrollment

Registered

2022-07-27

Start date

2022-08-01

Completion date

Unknown

Last updated

2025-04-07

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

Conditions

F30-F39 F51

Interventions

Group 1: Individual physical activity promoting counselling in addition to treatment as usual Group 2: Treatment as usual

Eligibility

Sex/Gender

All

Age

12 Years to 17 Years

Inclusion criteria

Inclusion criteria: (i) Aged between 12 to 17 years, (ii) presence of sleep /circadian problems, (iii) at least one diagnostic criteria of DSM-5 (apart from sleep problems), (iv) written informed consent of primary caretaker

Exclusion criteria

Exclusion criteria: (i) organic sleep- and brain disorders (i.e. obstructive sleep apnea, narcolepsy, epilepsy), (ii) suffering from medical conditions, which prevent participation in physical activity, and (iii) changes to medication regime during the study protocol.

Design outcomes

Primary

Measure	Time frame
Primary Outcome: Composite sleep health score To account for the multiple sleep disorders in a transdiagnostic sample (e.g. insomnia, CRDs, hypersomnia) the use of a single disorder-focused sleep measure might be problematic to capture intervention effects on the primary outcome sleep health. A recent investigation found that a composite sleep health score comprising 6 dimensions of sleep and circadian functioning (daytime alertness, sleep satisfaction, -timing, -efficiency, -duration, and –regularity) was predictive of mental health in adolescents (Dong et al. 2019). Therefore, a weighted summary sleep health score will be calculated with these components, based on results from exploratory factor analyses: The Pittsburgh Sleep Quality Index (PSQI) (Buysse, Reynolds, and Monk 1989) was developed to measure the complex multidimensional phenomenon of sleep quality and address the components of what constitutes sleep including: sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medications, and daytime dysfunction in the past month. The PSQI is composed of 19 self-rated questions and five questions rated by a bed partner or roommate. Only the self-rated items will be used the present study. The dimension scores are summed to produce a global score (range 0–21). The PSQI was used in previous own research among adolescents with satisfying psychometric properties (Lang et al. 2017; Brand et al. 2010) The Pediatric Daytime Sleepiness Scale (PDSS) (Drake et al. 2003) is an 8-item self-report scale of daytime sleepiness (e.g., “How often do you fall asleep or feel drowsy in class?”). Daytime sleepiness is a common symptom reported by adolescents with late chronotype (Gradisar et al. 2011, Saxvig et al. 2014; Saxvig et al 2012; Whilhelmsen-Langeland et al. 2013). Responses to each item are measured on a 5-point Likert scale (e.g., 0 = “Never”, 4 = “Always”). Total scores range from 0-32, with higher scores indicating h	—

Measure

Time frame

Primary Outcome: Composite sleep health score To account for the multiple sleep disorders in a transdiagnostic sample (e.g. insomnia, CRDs, hypersomnia) the use of a single disorder-focused sleep measure might be problematic to capture intervention effects on the primary outcome sleep health. A recent investigation found that a composite sleep health score comprising 6 dimensions of sleep and circadian functioning (daytime alertness, sleep satisfaction, -timing, -efficiency, -duration, and –regularity) was predictive of mental health in adolescents (Dong et al. 2019). Therefore, a weighted summary sleep health score will be calculated with these components, based on results from exploratory factor analyses: The Pittsburgh Sleep Quality Index (PSQI) (Buysse, Reynolds, and Monk 1989) was developed to measure the complex multidimensional phenomenon of sleep quality and address the components of what constitutes sleep including: sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medications, and daytime dysfunction in the past month. The PSQI is composed of 19 self-rated questions and five questions rated by a bed partner or roommate. Only the self-rated items will be used the present study. The dimension scores are summed to produce a global score (range 0–21). The PSQI was used in previous own research among adolescents with satisfying psychometric properties (Lang et al. 2017; Brand et al. 2010) The Pediatric Daytime Sleepiness Scale (PDSS) (Drake et al. 2003) is an 8-item self-report scale of daytime sleepiness (e.g., “How often do you fall asleep or feel drowsy in class?”). Daytime sleepiness is a common symptom reported by adolescents with late chronotype (Gradisar et al. 2011, Saxvig et al. 2014; Saxvig et al 2012; Whilhelmsen-Langeland et al. 2013). Responses to each item are measured on a 5-point Likert scale (e.g., 0 = “Never”, 4 = “Always”). Total scores range from 0-32, with higher scores indicating h

—

Secondary

Measure	Time frame
Secondary Outcomes: Psychopathology and cognitive performance Global Severity Index (GSI) is the global measure of the self-report Symptom Checklist-90-Revised (SCL-90-R)(Derogatis 1994). SCL-90-R is one of the most comprehensive and widely used questionnaires to assess psychopathological load and has been validated among adolescent psychiatric inpatients to screen for overall psychopathology. Scores were sensitive to changes between admission and discharge(Rytilä-Manninen et al. 2016). The SCL-90-R was also sensitive in reflecting treatment response to a transdiagnostic 12-week exercise intervention among psychiatric outpatients. The computerized Go/NoGo task (E-Prime v1.2, Psychology Software Tools, Inc., Pittsburgh, PA, USA, 2006) measures sustained attention in relation to inhibitory functions and consists of two visual stimuli presented in a random order. Adolescents have to press the space bar within 500 ms if the letter “M” is shown on the screen (Go stimuli). If the letter “W” is shown, they are instructed not to press any buttons (No-Go stimuli). A total of 80% of ‘M’ (approximately 200) letters will be shown, in a quasi-random sequence W N across 8 minutes. Analyses will be performed with commission error (falsely pressing the button in ‘No-Go’ trials), as well as reaction time (RT) of correct Go-trials.	—

Measure

Time frame

Secondary Outcomes: Psychopathology and cognitive performance Global Severity Index (GSI) is the global measure of the self-report Symptom Checklist-90-Revised (SCL-90-R)(Derogatis 1994). SCL-90-R is one of the most comprehensive and widely used questionnaires to assess psychopathological load and has been validated among adolescent psychiatric inpatients to screen for overall psychopathology. Scores were sensitive to changes between admission and discharge(Rytilä-Manninen et al. 2016). The SCL-90-R was also sensitive in reflecting treatment response to a transdiagnostic 12-week exercise intervention among psychiatric outpatients. The computerized Go/NoGo task (E-Prime v1.2, Psychology Software Tools, Inc., Pittsburgh, PA, USA, 2006) measures sustained attention in relation to inhibitory functions and consists of two visual stimuli presented in a random order. Adolescents have to press the space bar within 500 ms if the letter “M” is shown on the screen (Go stimuli). If the letter “W” is shown, they are instructed not to press any buttons (No-Go stimuli). A total of 80% of ‘M’ (approximately 200) letters will be shown, in a quasi-random sequence W N across 8 minutes. Analyses will be performed with commission error (falsely pressing the button in ‘No-Go’ trials), as well as reaction time (RT) of correct Go-trials.

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Countries

Switzerland

Contacts

Public ContactChristin Lang

Universität Basel, Departement für Sport, Bewegung und Gesundheit, Abteilung Sport und Psychosoziale Gesundheit

christin.lang@unibas.ch+41 61 207 61 45

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026