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| ID | Type | Description | Link |
|---|---|---|---|
| NCI-2020-13914 | Registry Identifier | CTRP (Clinical Trial Reporting Program) | |
| 2020-0809 | Other Identifier | M D Anderson Cancer Center | |
| R01HL155310 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Heart, Lung, and Blood Institute should be included as a Collaborator. | UNKNOWN |
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This clinical trial tests the effect of a physical activity intervention that emphasizes support between partners in women who are not physically active. Decisions about and participation in physical activity often involve others in one's social circle, including family and friends. Social support for physical activity and having someone with whom to engage in physical activity may promote behavioral change and help increase moderate-intensity physical activity in inactive women.
PRIMARY OBJECTIVE:
I. Determine whether the dyadic behavioral intervention produces greater engagement of moderate-intensity objective physical activity (PA) compared with the individual behavioral intervention.
SECONDARY OBJECTIVES:
I. Determine the effects of the dyadic behavioral intervention on hypothesized intervention mechanisms (e.g., autonomous motivation, social support, autonomy support, self-efficacy), and the associations of those mechanisms with PA outcomes.
II. Determine the effects of the dyadic behavioral intervention on secondary outcomes (i.e., self-reported moderate-intensity PA, lower body strength, blood pressure, anthropometric measures, mean daily steps, sedentary time) compared with the individual behavioral intervention.
III. Determine whether the dyadic behavioral intervention produces greater engagement of moderate-intensity PA compared with the individual control.
OUTLINE: Participants are randomized to 1 of 2 groups.
GROUP 1 (DYADIC INTERVENTION): Participants receive phone calls over 30-45 minutes each from a health coach weekly during month 1, twice monthly during months 2-4, and monthly during months 5-6 for a total of 12 phone calls that focus on identifying needs, practicing autonomy supportive behaviors, and the development of a mutual support plan. Participants also engage in at least one physical activity per week with their partner and monitor their own and each other's activity using a FitBit. Participants also wear an accelerometer for a minimum of 10 hours a day for 7 days. Participants also receive an electronic newsletter twice monthly during months 1-3 and monthly during months 4-6 that provides educational physical activity-related information and tips for overcoming barriers to physical activity.
GROUP 2 (INDIVIDUAL CONDITION): Participants are assigned to one of 2 groups.
GROUP 2A (INDIVIDUAL INTERVENTION): Participants receive phone calls from a health coach as in Intervention I that focus on providing support for behavioral skills, including monitoring physical activity, goal-setting, and problem-solving to overcome barriers to physical activity. Participants utilize a FitBit to monitor their physical activity and receive electronic newsletters twice monthly during months 1-3 and monthly during months 4-6 that provides educational physical activity-related information and tips for overcoming barriers to physical activity. Participants also wear an accelerometer for a minimum of 10 hours a day for 7 days.
GROUP 2B (HEALTH EDUCATION CONTROL): Participants utilize a FitBit to monitor their physical activity and receive electronic newsletters twice monthly during months 1-3 and monthly during months 4-6 to share basic health education related to physical activity and provide support for engagement. Participants also wear an accelerometer for a minimum of 10 hours a day for 7 days.
At completion of study, patients are followed up at 6 and 12 months.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group 1 (phone call, FitBit, newsletter, accelerometer) | Experimental | Participants receive phone calls over 30-45 minutes each from a health coach weekly during month 1, twice monthly during months 2-4, and monthly during months 5-6 for a total of 12 phone calls that focus on identifying needs, practicing autonomy supportive behaviors, and the development of a mutual support plan. Participants also engage in at least one physical activity per week with their partner and monitor their own and each other's activity using a FitBit. Participants also wear an accelerometer for a minimum of 10 hours a day for 7 days. Participants also receive an electronic newsletter twice monthly during months 1-3 and monthly during months 4-6 that provides educational physical activity-related information and tips for overcoming barriers to physical activity. |
|
| Group 2A (phone call, FitBit, newsletter, accelerometer) | Active Comparator | Participants receive phone calls from a health coach as in Intervention I that focus on providing support for behavioral skills, including monitoring physical activity, goal-setting, and problem-solving to overcome barriers to physical activity. Participants utilize a FitBit to monitor their physical activity and receive electronic newsletters twice monthly during months 1-3 and monthly during months 4-6 that provides educational physical activity-related information and tips for overcoming barriers to physical activity. Participants also wear an accelerometer for a minimum of 10 hours a day for 7 days. |
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| Group 2B (FitBit, newsletter, accelerometer) | Active Comparator |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Activity Monitor | Device | Monitor physical activity with FitBit |
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| Measure | Description | Time Frame |
|---|---|---|
| Change in objective minutes per week of moderate-intensity physical activity | Will use a linear mixed model (LMM) analysis, which includes the intervention as a fixed effect predictor and a dyad-specific random intercept to account for the dependent nature of the nested design (in the dyadic intervention group) to assess if the dyadic intervention led to increased moderate-intensity physical activity, relative to the individual intervention. will also assess changes in physical activity across time (i.e., at 6 and 12 months after baseline) using longitudinal data, where both within-dyad and within-subject (repeated measures across time points) correlations will be accounted for. Relevant covariates (e.g., age, race/ethnicity, dyad relationship, education, household income and composition, employment status, neighborhood environmental characteristics) will be adjusted for in the analysis. Potential effect modifiers, e.g., depressive symptoms, perceived stress, neighborhood environmental characteristics, will be explored. | Through study completion, an average of 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Larkin Strong | Contact | 713-563-8930 | LLStrong@mdanderson.org |
| Name | Affiliation | Role |
|---|---|---|
| Larkin Strong | M.D. Anderson Cancer Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| M D Anderson Cancer Center | Recruiting | Houston | Texas | 77030 | United States |
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| Label | URL |
|---|---|
| M.D. Anderson Cancer Center | View source |
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Participants utilize a FitBit to monitor their physical activity and receive electronic newsletters twice monthly during months 1-3 and monthly during months 4-6 to share basic health education related to physical activity and provide support for engagement. Participants also wear an accelerometer for a minimum of 10 hours a day for 7 days.
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| Activity Monitor | Device | Wear accelerometer |
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| Educational Intervention | Other | Receive educational newsletter |
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| Survey Administration | Other | Ancillary studies |
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| Telephone-Based Intervention | Behavioral | Receive phone call from health coach |
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| ID | Term |
|---|---|
| D000072936 | Fitness Trackers |
| D018479 | Early Intervention, Educational |
| D004522 | Educational Status |
| D008722 | Methods |
| ID | Term |
|---|---|
| D019719 | Diagnostic Equipment |
| D004864 | Equipment and Supplies |
| D000076251 | Wearable Electronic Devices |
| D055615 | Electrical Equipment and Supplies |
| D002662 | Child Health Services |
| D003153 | Community Health Services |
| D006296 | Health Services |
| D005159 | Health Care Facilities Workforce and Services |
| D011314 | Preventive Health Services |
| D012959 | Socioeconomic Factors |
| D011154 | Population Characteristics |
| D008919 | Investigative Techniques |
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