Targeting Physical Health in Schizophrenia: Physical Activity Can Enhance Life
Completed · Not applicable
Conditions studied: Schizophrenia, Schizoaffective Disorder, Brief Psychotic Disorder, Schizophreniform Disorder, Unspecified Schizophrenia Spectrum and Other Psychotic Disorder
In brief
Purpose: To develop and test the feasibility of an exercise intervention that combines group walking, activity tracking, and heart rate monitoring, and determine the effectiveness of this intervention on the physical and mental health for individuals with schizophrenia spectrum disorders. Participants: 14 individuals with schizophrenia spectrum disorders. Procedures (methods): During the baseline assessment, subjects will be provided with a Fitbit wristband and instructed how to use it. During the first group session, subjects will be taught how to use their heart rate (on the Fitbit) to determine how fast subjects should walk (to achieve the appropriate exercise dosage). Information on proper care, usage, and how to determine the appropriate heart from the watch, which will be used to guide the intensity of the walk will be provided to subjects and reviewed at each group session. For all clinic based group sessions, subjects will arrive at the STEP clinic to meet the entire group and leaders and be reminded of the heart rate (HR) that corresponds with the intensity of that group session. Next, the group will go outside and walk for 30 minutes. At the completion of 30 minutes, everyone will go back into the clinic for water and review of the walk. After the second group session of each week, subjects will receive weekly progress reports of their steps and minutes spent walking the prior week (obtained from Fitbit devices). During this session, subjects will also set individual goals for the upcoming week for both their "intensity walks" and total steps per day.
Key facts
- Study ID
- NCT03757988
- Run by
- University of North Carolina, Chapel Hill
- People needed
- 17
- Starts
- 2018-12-06
- Expected to finish
- 2019-09-11
- Last updated by the study team
- 2020-09-21
Who can join
Age: 18 and older, up to 65. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-V) diagnosis of a Schizophrenia Spectrum Disorder (SSD) (Schizophrenia, Schizoaffective Disorder, Brief Psychotic Disorder, Schizophreniform Disorder, and Unspecified Schizophrenia Spectrum and Other Psychotic Disorder)
- Between the ages of 18-65, both genders, and any ancestry;
- Intelligence Quotient (IQ) >70. IQ will be assessed using the WASI
- No hospitalizations for psychiatric reasons in the last 3 months
- Clinically stable (no psychiatric medication changes within the past month)
- Are not already engaging in consistent moderate-intensity exercise (cutoff = 60 min/week for the past 6 months);
- Present with no contra-indication to engage in regular moderate intensity exercise based on the American College of Sports Medicine guidelines. (If an individual answers yes to one item on the of the Physical Activity Readiness Questionnaire (PAR-Q), a questionnaire that assesses cardiovascular risk factors, she/he will be asked to get clearance from a physician prior to participating in the study)
- Willing and able to provide informed consent. (Note: The research assistant will read the consent form with the participant and ask the subject to repeat back the information after each section to determine whether he/she understands the information provided.)
You may not qualify if…
- Pregnant women will be excluded because pregnancy alters autonomic and immune responsiveness, increase weight gain, and can influence heart rate.
Where it is running
- University of North Carolina at Chapel Hill — Chapel Hill, North Carolina, United States
- North Carolina Psychiatric Research Center — Raleigh, North Carolina, United States
Full record on ClinicalTrials.gov
Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.