- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06119334
Promoting Healthy Exercise to Conscientious Christians
Given the importance of reducing mortality-morbidity, more effective Physical Activity (PA) interventions are important, and the recently observed stabilizations of PI levels suggest that novel methods must be explored (Ozemek et al., 2019).
This study aims to provide a select sedentary subpopulation with a customized intervention hypothesized to increase their PA adoption. Novel recruiting methods are used to identify a target subpopulation (based on multiple characteristics) that can be contacted in multiple sections of North America. We will intervene online and rigorously test the theoretical formulations that identify the subpopulation and the customized intervention.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Physical inactivity (PI) in North America (NA) is associated with high levels of excess morbidity-mortality (Arraiz et al., 1992; Knight, 2012; Villeneuve et al., 1998) with significant decreases in morbidity-mortality predicted with increased physical activity (PA) in recent literature (del Pozo Cruz, et al., 2022; Fogelholm, 2010; Katzmarzyk & Mason, 2009; Peterson et al., 2014; Warburton & Bredin, 2017). The lower range of prevalence indicators of PI suggest that 47% of Americans (Centers for Disease Control and Prevention [CDC], n.d.) and 51% of Canadians (Statistics Canada, 2021) do not reach the PA guidelines of 150 minutes of moderate-to-vigorous physical activity (MVPA) weekly. The upper end estimates point to approximately 80% of adults being too sedentary to gain health benefits (Piercy et al., 2018). Recent evidence analyzed by the US 2018 Physical Activity Guidelines Advisory Committee (US Department of Health and Human Services [HHS], 2018), based on extensive literature review, indicates strong PI associations with increased all-cause mortality. Also noteworthy were specifically increased incidences of: 9.9% for cardiovascular diseases; 6.5% for stroke; 2.2% for hypertension; and 5.9% for Type 2 diabetes. Increased incidences were also associated with cancer-related diseases (2.9% for bladder cancer; 3.6% for breast cancer; and 3.9% for colon cancer) (Katzmarzyk et al., 2022). The estimated healthcare costs attributable to PI in Canada were $2.1 billion (1999) and $2.4 billion (2009), the latter figure associated with indirect costs of $4.3 billion and total costs of $6.8 billion (Katzmarzyk et al., 2000). Given the importance of reducing mortality-morbidity, more effective Physical Activity (PA) interventions are important, and the recently observed stabilizations of PI levels suggest that novel methods must be explored (Ozemek et al., 2019). This study aims to provide a select sedentary subpopulation with a customized intervention hypothesized to increase their PA adoption. Novel recruiting methods are used to identify a target subpopulation (based on multiple characteristics) that can be contacted in multiple sections of North America. We will intervene online and rigorously test the theoretical formulations that identify the subpopulation and the customized intervention.
Physical inactivity (PI) in North America (NA) is associated with high levels of excess morbidity-mortality (Arraiz et al., 1992; Knight, 2012; Villeneuve et al., 1998) with significant decreases in morbidity-mortality predicted with increased physical activity (PA) in recent literature (del Pozo Cruz, et al., 2022; Fogelholm, 2010; Katzmarzyk & Mason, 2009; Peterson et al., 2014; Warburton & Bredin, 2017).
The lower range of prevalence indicators of PI suggest that 47% of Americans (Centers for Disease Control and Prevention [CDC], n.d.) and 51% of Canadians (Statistics Canada, 2021) do not reach the PA guidelines of 150 minutes of moderate-to-vigorous physical activity (MVPA) weekly. The upper end estimates point to approximately 80% of adults being too sedentary to gain health benefits (Piercy et al., 2018).
Recent evidence analyzed by the US 2018 Physical Activity Guidelines Advisory Committee (US Department of Health and Human Services [HHS], 2018), based on extensive literature review, indicates strong PI associations with increased all-cause mortality. Also noteworthy were specifically increased incidences of: 9.9% for cardiovascular diseases; 6.5% for stroke; 2.2% for hypertension; and 5.9% for Type 2 diabetes. Increased incidences were also associated with cancer-related diseases (2.9% for bladder cancer; 3.6% for breast cancer; and 3.9% for colon cancer) (Katzmarzyk et al., 2022). The estimated healthcare costs attributable to PI in Canada were $2.1 billion (1999) and $2.4 billion (2009), the latter figure associated with indirect costs of $4.3 billion and total costs of $6.8 billion (Katzmarzyk et al., 2000).
Given the importance of reducing mortality-morbidity, more effective Physical Activity (PA) interventions are important, and the recently observed stabilizations of PI levels suggest that novel methods must be explored (Ozemek et al., 2019). This study aims to provide a select sedentary subpopulation with a customized intervention hypothesized to increase their PA adoption. Novel recruiting methods are used to identify a target subpopulation (based on multiple characteristics) that can be contacted in multiple sections of North America. We will intervene online and rigorously test the theoretical formulations that identify the subpopulation and the customized intervention.
Aims and Objectives:
A. To estimate the approximate number of North American individuals who visit Christian - oriented online programs and dialogue on these programs about personally meaningful issues. This estimate is relevant to the potential for online PA interventions to reach ample populations and deliver adoption stimulating, reinforcing effects that result in increased MVPA.
B. To assess within a randomized controlled trial (RCT) whether an online Christianbased CBT-PA intervention is more effective than a comparison wait list control condition, in terms of increased MVPA as assessed by self-report (IPAQ), Fitbit (online] tracked steps, and self-reported changes in body mass index (BMI).
C. To assess within a RCT whether engagement with and/or adherence to the online Christian-based PA intervention (i.e. online workbooks completed, online text messages exchanged, phone sessions completed) predicts increased MVPA.
D. To compare the cost-effectiveness of the online Christian-based PA intervention to the comparison wait-list control condition at post-intervention (4 months) and at 2 months post-follow up (6 months).
Hypotheses
A. An increasing number of North Americans visit Christian online groups and programs and exchange dialogues on personally meaningful Christianity issues. Amidst the ~231 million Christians estimated to reside in North America, we believe an increasing proportion (30% to 40%) are engaging in online visits per month (Johnson et al., 2018).
B. The Christian-based CBT-PA intervention is more effective than the comparison (wait list control) condition in terms of significantly increased MVPA as assessed by self-report (IPAQ), Fitbit (online) tracked steps, and self-reported changes in body mass index (BMI).
C. Engagement in and adherence to the online Christian-based PA intervention (i.e. online workbooks completed, online text messages exchanged, phone sessions completed) will predict significantly increased MVPA in the experimental group.
D. The online Christian-based PA intervention program will be significantly more cost effective when compared to the comparison condition at postintervention and at 2 months follow up.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Paul G Ritvo, PhD
- Phone Number: 14165808021
- Email: pritvo@yorku.ca
Study Contact Backup
- Name: Paul G Ritvo, PhD
- Phone Number: 4165808021
- Email: pritvo@yorku.ca
Study Locations
-
-
Ontario
-
Toronto, Ontario, Canada, M4E 3C1
- York University - School of Kinesiology and Health Science
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
(1) 25 to 55 years old; (2) self-identification as a regular church attendee (Lazerwitz, 1962); (3) willingness to complete the Big Five Inventory (BFI) (John et al., 2008; John & Srivastava, 1999; (4) BFI scores that are 1 SD > the mean score typically derived in most published studies; (5) willingness to receive and use a loaned Fitbit Versa 2 delivered by FedEx and commit to wearing it during daytime hours on a daily basis for the duration of the 16 week intervention (6) BMI between 27 and 33; (7) fluent in English; (8) approval from a primary care physician for initiating a graded-incremental walking exercise routine; (9) ability to walk for 30 minutes at a time without significant self-identification of pain and/or orthopedic dysfunction.
Exclusion Criteria: 1) Individuals who self-report a past or present diagnosis of Bipolar Disorder, Borderline Personality Disorder, Obsessive-Compulsive Disorder, Schizophrenia, Substance Abuse/Addiction in the past three months will be excluded; suicidal ideation or attempted suicide in the past six months prior to the study are also exclusion factors; (2) individuals with a self-reported co-morbid illness or condition that could be negatively affected by walking exercise; 3) individuals who report walking 20 minutes per day (on average) or more.
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Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Experimental
Sixteen weeks of phone-based counselling at a rate of 1 session/week and ongoing access to a online platform (Nex J Connected Wellness) that has health promotion text and videos readily accessed in combination with text messaging exchanges between counselor and participant.
Participants receive a Fitbit which is connected to the Nex J Connected Wellness such that counselors can monitor steps/day.
|
Phone counselling for 1 hour/week over 16 weeks and access to the online platform with health promotion materials (videos, text, audios)
|
|
No Intervention: Wait list control
Participants wait for 16 weeks.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
International Physical Activity Questionnaire (IPAQ) (low-moderate-high)
Time Frame: Baseline
|
Self report of physical activity reflecting current activity
|
Baseline
|
|
International Physical Activity Questionnaire (IPAQ) (low-moderate-high)
Time Frame: 8 weeks
|
Change in self report of physical activity
|
8 weeks
|
|
International Physical Activity Questionnaire (IPAQ) (low-moderate-high)
Time Frame: 16 weeks
|
Change in self report of physical activity
|
16 weeks
|
|
Fitbit Versa 2 Fitness Tracker connected to the NexJ Connected Wellness platform.
Time Frame: 8 weeks
|
Electronic monitoring of steps
|
8 weeks
|
|
Fitbit Versa 2 Fitness Tracker connected to the NexJ Connected Wellness platform.
Time Frame: 16 weeks
|
Change in Electronic monitoring of steps
|
16 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Body Mass Index (BMI)
Time Frame: Baseline
|
Weight and height measurements
|
Baseline
|
|
Body Mass Index (BMI)
Time Frame: 16 weeks
|
Change in Weight and height measurements
|
16 weeks
|
|
Patient Health Questionnaire-9 (PHQ - 9) (0-27)
Time Frame: Baseline
|
Brief Measure of Depression
|
Baseline
|
|
Patient Health Questionnaire-9 (PHQ - 9) (0-27)
Time Frame: 16 weeks
|
Change in Brief Measure of Depression
|
16 weeks
|
|
General Anxiety Disorder-7 (GAD-7) (0-21)
Time Frame: Baseline
|
Brief measure of Anxiety
|
Baseline
|
|
General Anxiety Disorder-7 (GAD-7) (0-21)
Time Frame: 8 weeks
|
Change in Brief measure of Anxiety
|
8 weeks
|
|
General Anxiety Disorder-7 (GAD-7) (0-21)
Time Frame: 16 weeks
|
Change in Brief measure of Anxiety
|
16 weeks
|
|
Duke University Religion Index (DUREL) (5-27)
Time Frame: Baseline
|
Religious committment
|
Baseline
|
|
Duke University Religion Index (DUREL) (5-27) Duke University Religion Index
Time Frame: 8 weeks
|
Change in Duke University Religion Index
|
8 weeks
|
|
Duke University Religion Index (DUREL) (5-27) Duke University Religion Index (5-27)
Time Frame: 16 weeks
|
Change in Duke University Religon Index
|
16 weeks
|
|
Quality of life (EQ-5D) (0-100)
Time Frame: Baseline
|
Utility-based measure
|
Baseline
|
|
Quality of life (EQ-5D) (0-100)
Time Frame: 8 weeks
|
Change in Quality of life (EQ-5D)
|
8 weeks
|
|
Quality of life (EQ-5D) (0-100)
Time Frame: 16 weeks
|
Change in Quality of life (EQ-5D)
|
16 weeks
|
|
12 item Grit Scale (12-60)
Time Frame: Baseline
|
Measure of 'grit' - long term passionate committment
|
Baseline
|
|
12 item Grit Scale (12-60)
Time Frame: 8 weeks
|
Change in 12 item Grit Scale
|
8 weeks
|
|
12 item Grit Scale (12-60)
Time Frame: 16 weeks
|
Change in 12 item Grit Scale Change in Change in Measure of 'grit' - long term passionate committment |
16 weeks
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 3835
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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