Weight Management Among Breast Cancer Survivors
| Status: | Completed |
|---|---|
| Conditions: | Obesity Weight Loss |
| Therapuetic Areas: | Endocrinology |
| Healthy: | No |
| Age Range: | 18 - Any |
| Updated: | 4/21/2016 |
| Start Date: | February 2015 |
| End Date: | July 2015 |
Evaluation of mHealth Counseling for Lifestyle Behaviors Among Breast Cancer Survivors
The long-term goal of this research is to develop, evaluate and implement effective mHealth
technology interventions that improve cancer management outcomes by changing lifestyle
behaviors among urban health- disparity facing populations. To accomplish this goal, the
investigators will need to determine the feasibility and preliminary efficacy of an
intervention in which breast cancer survivors receive counseling about lifestyle behaviors
(weight, nutrition, and physical activity) from a health counselor trained in
evidenced-based behavioral counseling methods.
technology interventions that improve cancer management outcomes by changing lifestyle
behaviors among urban health- disparity facing populations. To accomplish this goal, the
investigators will need to determine the feasibility and preliminary efficacy of an
intervention in which breast cancer survivors receive counseling about lifestyle behaviors
(weight, nutrition, and physical activity) from a health counselor trained in
evidenced-based behavioral counseling methods.
Tremendous advances in detection and treatment of breast cancer have led to an increasingly
large cohort of survivors focused on health promotion and reducing the risk of recurrence.
While adjuvant therapy, such as hormone therapy, is often used to prevent cancer recurrence,
modification of lifestyle is an effective tool to increase quality of life, prevent future
cancer recurrence and increase long-term health. However, translating these recommendations
into population-wide, inexpensive, sustainable programs for cancer survivors has to date
proven largely unrealized. These programs are particularly needed in health disparity-facing
populations (i.e., low socio-economic status and/or racial/ethnic minority groups) due to
the high burden of cancer incidence and mortality they face. Limited translation is due to
many factors including the complexity of lifestyle habits, high patient burden of many
behavioral interventions, low levels of engagement and adherence to interventions, and the
lack of integration of behavior change tools into daily lifestyles. In this context, there
is great promise of tools that are mobile, simple, and embedded into daily life routines.
The long-term goal of this research program is to develop, evaluate and implement effective
mHealth technology interventions that improve cancer management outcomes by changing
lifestyle behaviors among urban health- disparity facing populations.
The mHealth intervention for cancer survivors devised by the investigators consists of
several components: 1) a commercially available smart phone app that captures patients'
behavioral data (steps, sleep, weight) using devices (a FitBit and a FitBit scale), 2) text
messages to participants to collect additional data (foods eaten, eating habits), and 3)
phone sessions with a non-professionally trained health counselor about diet and physical
activity behaviors.
The investigators propose to test the feasibility and preliminary outcomes on weight,
behaviors, psychological factors as well as participant engagement in the intervention of
our mHealth counseling intervention among 20 breast cancer survivors.
large cohort of survivors focused on health promotion and reducing the risk of recurrence.
While adjuvant therapy, such as hormone therapy, is often used to prevent cancer recurrence,
modification of lifestyle is an effective tool to increase quality of life, prevent future
cancer recurrence and increase long-term health. However, translating these recommendations
into population-wide, inexpensive, sustainable programs for cancer survivors has to date
proven largely unrealized. These programs are particularly needed in health disparity-facing
populations (i.e., low socio-economic status and/or racial/ethnic minority groups) due to
the high burden of cancer incidence and mortality they face. Limited translation is due to
many factors including the complexity of lifestyle habits, high patient burden of many
behavioral interventions, low levels of engagement and adherence to interventions, and the
lack of integration of behavior change tools into daily lifestyles. In this context, there
is great promise of tools that are mobile, simple, and embedded into daily life routines.
The long-term goal of this research program is to develop, evaluate and implement effective
mHealth technology interventions that improve cancer management outcomes by changing
lifestyle behaviors among urban health- disparity facing populations.
The mHealth intervention for cancer survivors devised by the investigators consists of
several components: 1) a commercially available smart phone app that captures patients'
behavioral data (steps, sleep, weight) using devices (a FitBit and a FitBit scale), 2) text
messages to participants to collect additional data (foods eaten, eating habits), and 3)
phone sessions with a non-professionally trained health counselor about diet and physical
activity behaviors.
The investigators propose to test the feasibility and preliminary outcomes on weight,
behaviors, psychological factors as well as participant engagement in the intervention of
our mHealth counseling intervention among 20 breast cancer survivors.
Inclusion Criteria:
- Willing to participate in intervention by sharing FitBit account information (log
in/password) with study team
- 6 months or more since receiving cancer treatment including surgery, radiation, or
chemotherapy (self-reported)
- 2 or more years post breast cancer diagnosis (self-reported)
- Current ownership of an iOS or Android based platform smartphone and home wifi
- Age 18 and above
- Ability to speak and read in English
- Overweight or obese (body mass index ≥ 25)
- Female
Exclusion Criteria:
- Medical conditions including dementia, active cancer, anorexia or any other condition
in the opinion of the investigator makes the participant unsuitable for inclusion in
the study
- Presence of a pacemaker or other internal medical device
- Those with contraindications for physical activity
- Pregnant women
- Inability to easily navigate programs on a smartphone
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