Comprehensive Lifestyle Change To Prevent Breast Cancer

Premenopausal Clinical Trial

Official title:

Comprehensive Lifestyle Change to Prevent Breast Cancer: A Feasibility Trial

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT03448003
• Other study ID #: 2017-0479
• Secondary ID: NCI-2018-0091520
• Status: Active, not recruiting
• Phase: N/A
• Start date: April 4, 2019
• Est. completion date: August 31, 2025

Study information

• Verified date: February 2024
• Source: M.D. Anderson Cancer Center
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

This trial studies how well comprehensive lifestyle change works in preventing patients from breast cancer. A program including dietary recommendations, physical activity, stress management and mindfulness training, learning sleep hygiene techniques, and behavioral counseling in addition to social support may help patients who may be at risk for breast cancer.

Description:

PRIMARY OBJECTIVES: I. Assess the feasibility of a randomized controlled trial involving a mobile, standardized, comprehensive integrative oncology (IO) prevention program. SECONDARY OBJECTIVES: I. Compare group differences over time in biological pathways including: immune function, gut microbiome, endocrine function, insulin and glucose metabolism, inflammation, other cancer-related pathways (from peripheral blood), antioxidant capacity, and nutrient levels. II. Determine whether the IO group has improved patient reported outcomes over time including: quality of life, sleep disturbances, aspects of mental health, and psychosocial measures including: mindfulness, social support, and measures of positive growth. III. Compare group differences over time in dietary patterns, fitness levels, percent body fat, and anthropometrics. OUTLINE: Patients are randomized into 1 of 2 groups. GROUP I: Patients attend IO prevention program consisting of 1-2 physical activity, nutrition and diet, and mind-body practice sessions over 60 minutes weekly for 12 weeks. Patients also attend a behavioral counseling session once weekly for up to 26 weeks. Patients complete exercises over 30-60 minutes 3-5 times weekly for 12 weeks. GROUP II: Patients receive no intervention. After 26 weeks, patients may crossover to Group I. After completion of study, patients are followed up at 26 weeks and 1 year.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 60
• Est. completion date: August 31, 2025
• Est. primary completion date: August 31, 2025
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: Female
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Able to read, write, and speak English
• Premenopausal
• A body mass index (BMI) >= 25
• Have intact breasts and ovaries
• Able to provide informed consent to participate in the study
• Meet all the following criteria related to lifestyle: a) consume less than 3 servings of vegetables (excluding any fried servings) and 1 serving of fruit (not including juice)/day; b) engage in less than 150 minutes moderate/vigorous intensity activity per week, defined as anything that causes small increases in breathing or heart rate for a sustained amount of time (e.g., brisk walking, bicycling); c) engage in a mind-body practice less once per week
• Able mentally and physically to participate in interventions in this study (Note: If there are one or more positive responses to the Physical Activity Readiness Questionnaire [PARQ], then a physician-release for exercise is required prior to obtaining consent)
• Access to internet connection
• Able to come to University of Texas (UT) MD Anderson for the orientation and assessment sessions

Exclusion Criteria:

• Any personal history of cancer, including ductal carcinoma in situ (DCIS) and not including non-melanoma skin cancers
• Any major thought disorder (e.g., schizophrenia, dementia)
• Communication barriers (e.g. hard of hearing)
• Poorly or uncontrolled diabetes in the opinion of the physician(s)
• Being pregnant or planning on becoming pregnant within the next year
• Contemplating any new pharmacologic/hormonal or prophylactic surgical intervention for breast cancer prevention within the next year (Note: Individuals taking tamoxifen, arimidex or other hormonal prevention strategies at time of consent will be eligible)

Related Conditions & MeSH terms

• Premenopausal

Intervention

Other:
• Cancer Prevention
Attend IO prevention program
• Questionnaire Administration
Ancillary studies

Locations

Country	Name	City	State
United States	M D Anderson Cancer Center	Houston	Texas

Sponsors (2)

Lead Sponsor	Collaborator
M.D. Anderson Cancer Center	National Cancer Institute (NCI)

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Consent rate	Will calculate the rates, frequencies, and 90% confidence intervals (CIs) of means by group, as well as for the differences between intervention groups as applicable. Will also examine demographic factors such as age, marital status, number of children, and employment status as they related to feasibility in terms of consent, adherence to the intervention, and retention in the study.	Up to 1 year
Primary	Treatment group compliance rate	Will be defined as attending at least 50% of sessions during the intervention delivery weeks (first 26 weeks) in the integrative oncology (IO) group. Will calculate the rates, frequencies, and 90% CIs of means by group, as well as for the differences between intervention groups as applicable. Will also examine demographic factors such as age, marital status, number of children, and employment status as they related to feasibility in terms of consent, adherence to the intervention, and retention in the study.	Up to 1 year
Primary	Retention rate	Will calculate the rates, frequencies, and 90% CIs of means by group, as well as for the differences between intervention groups as applicable. Will also examine demographic factors such as age, marital status, number of children, and employment status as they related to feasibility in terms of consent, adherence to the intervention, and retention in the study.	Up to 1 year
Secondary	Group differences over time in biological pathways	Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use generalized linear mixed model regression (GLMM). Separate sets of analyses will be conducted for each criterion variable.	Up to 1 year
Secondary	Group differences over time in dietary patterns	Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use GLMM. Separate sets of analyses will be conducted for each criterion variable.	Up to 1 year
Secondary	Group differences over time in fitness levels	Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use GLMM. Separate sets of analyses will be conducted for each criterion variable.	Up to 1 year
Secondary	Group differences over time in percent body fat	Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use GLMM. Separate sets of analyses will be conducted for each criterion variable.	Up to 1 year
Secondary	Group differences over time in anthropometrics	Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use GLMM. Separate sets of analyses will be conducted for each criterion variable.	Up to 1 year
Secondary	Gut microbiome	Sequence processing and analysis will be performed using specific software for comparison and analysis of microbial communities.	Up to 1 year

External Links

•   University of Texas MD Anderson Cancer Center Website