Obesity-Related Malignant Neoplasm Clinical Trial
Official title:
A Peer and Family-Based Approach to Obesity in African American Families
This study tests the effectiveness of parent and family oriented support interventions that are designed to help with weight loss among African American families. Obesity tends to run in families, thus family based interventions, with parents as main change agents have been strongly recommended. The parent and family oriented support Interventions may help facilitate weight loss among African American families.
Status | Recruiting |
Enrollment | 1200 |
Est. completion date | December 31, 2028 |
Est. primary completion date | December 31, 2028 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 10 Years to 65 Years |
Eligibility | Inclusion Criteria: - DYAD: Be parent/caregiver (legal parent or custodial grandparent; male or female) and child willing to participate - DYAD: Live together in the same household - PARENT/CAREGIVER: Self-identify as black or African American - PARENT/CAREGIVER: Parent or caregiver age 18 through 65 years old - PARENT/CAREGIVER: Are obese (BMI greater than or equal to 30) - PARENT/CAREGIVER: Are not currently participating in a physical activity (PA), diet, or weight management program - PARENT/CAREGIVER: Have a valid home address, telephone number, and internet access - PARENT/CAREGIVER: Enroll with a child aged 10-16 years - PARENT/CAREGIVER: Are able to speak English - CHILDREN: They are aged between 10-16 years Exclusion Criteria: - PARENT/CAREGIVER: They are currently pregnant or thinking about becoming pregnant during the study period - PARENT/CAREGIVER: They present any contraindications for exercise based on responses to the PA Readiness Questionnaire (PAR-Q) |
Country | Name | City | State |
---|---|---|---|
United States | M D Anderson Cancer Center | Houston | Texas |
Lead Sponsor | Collaborator |
---|---|
M.D. Anderson Cancer Center |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Weight loss of parents | Will use the generalized linear mixed model (GLMM) regression, which takes into account both within-cluster (e.g., within church) and, as applicable, within-individual (e.g., overtime) correlations between observations of each primary and secondary outcomes of interest. | Up to 18 months | |
Primary | Reach (Part 1 of the RE-AIM framework) | Measured as the number of churches invited to participate, number enrolled, and differences between the two groups. | Up to 18 months | |
Primary | Effectiveness (Part 2 of the RE-AIM framework) | Measured as the impact on weight loss: 6 focus groups and 15 individual interviews at 18 months to understand unanticipated outcomes; interview lay health workers (LHWs) about implementation. | Up to 18 months | |
Primary | Adoption (Part 3 of the RE-AIM framework) | Will be measured by asking churches about factors that helped or hindered adoption or implementation and will they adopt intervention when completed. | Up to 18 months | |
Primary | Implementation (Part 4 of the RE-AIM framework) | Measured as study attendance and assessments, number of health coaching, LHW and support group sessions, number of staff training, and self-monitoring practices. | Up to 18 months | |
Primary | Maintenance (Part 5 of the RE-AIM framework) | Long-term maintenance in parent/families at 18 months measured by family and church attrition, to assess church's ability to maintain employment of LHWs and their willingness to remain in this role. | Up to 18 months | |
Secondary | Child's body mass index (BMI) z-score | Will use the GLMM regression, which takes into account both within-cluster (e.g., within church) and, as applicable, within-individual (e.g., overtime) correlations between observations of each primary and secondary outcomes of interest. | Up to 18 months | |
Secondary | Fruit and vegetable consumption | Will use the GLMM regression, which takes into account both within-cluster (e.g., within church) and, as applicable, within-individual (e.g., overtime) correlations between observations of each primary and secondary outcomes of interest. | Up to 18 months | |
Secondary | Physical activity | Will use the GLMM regression, which takes into account both within-cluster (e.g., within church) and, as applicable, within-individual (e.g., overtime) correlations between observations of each primary and secondary outcomes of interest. | Up to 18 months | |
Secondary | Blood pressure | Will use the GLMM regression, which takes into account both within-cluster (e.g., within church) and, as applicable, within-individual (e.g., overtime) correlations between observations of each primary and secondary outcomes of interest. | Up to 18 months | |
Secondary | Body fat percentage | Will use the GLMM regression, which takes into account both within-cluster (e.g., within church) and, as applicable, within-individual (e.g., overtime) correlations between observations of each primary and secondary outcomes of interest. | Up to 18 months | |
Secondary | Waist circumference | Will use the GLMM regression, which takes into account both within-cluster (e.g., within church) and, as applicable, within-individual (e.g., overtime) correlations between observations of each primary and secondary outcomes of interest. | Up to 18 months |
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Recruiting |
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