Breast cancer survivors’ perspectives on a weight loss and physical activity lifestyle intervention

Author(s):  
Lynda G. Balneaves ◽  
Cheri Van Patten ◽  
Tracy L. O. Truant ◽  
Mary T. Kelly ◽  
Sarah E. Neil ◽  
...  
2016 ◽  
Vol 25 (5) ◽  
pp. 1455-1463 ◽  
Author(s):  
Caroline O Terranova ◽  
Sheleigh P Lawler ◽  
Kym Spathonis ◽  
Elizabeth G Eakin ◽  
Marina M Reeves

2018 ◽  
Vol 52 (12) ◽  
pp. 999-1009 ◽  
Author(s):  
Kelly M Kenzik ◽  
Wendy Demark-Wahnefried ◽  
Patricia A Ganz ◽  
Graham Colditz ◽  
Cheryl L Rock ◽  
...  

AbstractBackgroundBreast cancer survivors rank fatigue (e.g., decreased vitality) as their number one concern affecting quality of life. Excess adiposity is associated with decreased vitality in breast cancer survivors, yet weight loss intervention trials report inconsistent effects on this parameter.MethodsThis is a secondary analysis of the Exercise and Nutrition to Enhance Recovery and Good Health for You trial, in which 692 overweight or obese breast cancer survivors ≤5 years from diagnosis, initiated weight loss interventions, and completed assessments semi-annually for 2 years. Assessments included the Godin Leisure-Time Exercise Questionnaire and the SF-36 MOS vitality subscale as an inverse measure of fatigue. Multilevel structural equation models estimated the direct effects of physical activity on vitality and indirect effects through body mass index (BMI) changes.ResultsWithin-person findings show that at assessments with greater physical activity, BMI was significantly lower (B = −0.07, p < 0.001) and vitality was higher (B = 0.22, p < 0.001). However, there was no direct relationship between lower BMI and higher vitality (B = −0.11, p = 0.262) after controlling for the relationship of physical activity with BMI and physical activity with vitality. The between-person indirect effect of physical activity change through BMI change to vitality was significant (B = 0.03, p < 0.001). Participants whose physical activity was above the mean (B = 0.37, p < 0.001) and whose BMI was below the mean (B = −1.05, p < 0.001) were more likely to report greater vitality.ConclusionImprovements in vitality are primarily associated with increases in physical activity rather than BMI changes in this trial. Vitality was lower among survivors with higher BMI, although within-individual changes in BMI had no effect on vitality. Physical activity and weight loss share mechanistic links to vitality with physical activity potentially increasing (e.g., in an additive or synergistic manner) the effect of BMI reduction on vitality.


2017 ◽  
Author(s):  
Raheem J Paxton ◽  
Richard Hajek ◽  
Patricia Newcomb ◽  
Megha Dobhal ◽  
Sujana Borra ◽  
...  

BACKGROUND Our data have indicated that minority breast cancer survivors are receptive to participating in lifestyle interventions delivered via email or the Web, yet few Web-based studies exist in this population. OBJECTIVE The aim of this study was to examine the feasibility and preliminary results of an email-delivered diet and activity intervention program, “A Lifestyle Intervention Via Email (ALIVE),” delivered to a sample of racial and ethnic minority breast cancer survivors. METHODS Survivors (mean age: 52 years, 83% [59/71] African American) were recruited and randomized to receive either the ALIVE program’s 3-month physical activity track or its 3-month dietary track. The fully automated system provided tools for self-monitoring and goal setting, tailored content, and automated phone calls. Descriptive statistics and mixed-effects models were computed to examine the outcomes of the study. RESULTS Upon completion, 44 of 71 survivors completed the study. Our “intention-to-treat” analysis revealed that participants in the physical activity track made greater improvements in moderate to vigorous activity than those in the dietary track (+97 vs. +49 min/week, P<.001). Similarly, reductions in total sedentary time among those in the physical activity track (−304 vs. −59 min/week, P<.001) was nearly 5 times greater than that for participants in the dietary track. Our completers case analysis indicated that participants in the dietary track made improvements in the intake of fiber (+4.4 g/day), fruits and vegetables (+1.0 cup equivalents/day), and reductions in saturated fat (−2.3 g/day) and trans fat (−0.3 g/day) (all P<.05). However, these improvements in dietary intake were not significantly different from the changes observed by participants in the physical activity track (all P>.05). Process evaluation data indicated that most survivors would recommend ALIVE to other cancer survivors (97%), were satisfied with ALIVE (82%), and felt that ALIVE was effective (73%). However, survivors expressed concerns about the functionality of the interactive emails. CONCLUSIONS ALIVE appears to be feasible for racial and ethnic minority cancer survivors and showed promising results for larger implementation. Although survivors favored the educational content, a mobile phone app and interactive emails that work on multiple email domains may help to boost adherence rates and to improve satisfaction with the Web-based platform. CLINICALTRIAL ClinicalTrials.gov NCT02722850; https://clinicaltrials.gov/ct2/show/NCT02722850 (Archived by WebCite at http://www.webcitation.org/6tHN9VsPh)


2018 ◽  
Vol 77 (4) ◽  
pp. 403-411 ◽  
Author(s):  
Anne McTiernan

Weight, weight change and physical activity may affect prognosis among women who are diagnosed with breast cancer. Observational studies show associations between overweight/obesity and weight gain with several measures of reduced prognosis in women with breast cancer, and some suggestions of lower survival in women who are underweight or who experience unexplained weight loss after diagnosis. Observational studies have also shown an association between higher levels of physical activity and reduced breast cancer-specific and all-cause mortality, although a dose–response relationship has not been established. The effects of purposive dietary weight loss and increase in physical activity on survival or recurrence in breast cancer are not yet established, and randomised controlled trials are needed for definitive data. This paper presents the epidemiologic evidence on weight status, weight change, and physical activity and breast cancer survival; suggests potential mediating mechanisms; summarises evidence on weight loss interventions in breast cancer survivors; describes ongoing randomised clinical trials designed to test the effects of weight loss or physical activity on breast cancer survival; and provides information on available guidelines on weight and physical activity for cancer survivors.


2021 ◽  
pp. 089011712110367
Author(s):  
Jeanne M. Ferrante ◽  
Aaron Lulla ◽  
Julie D. Williamson ◽  
Katie A. Devine ◽  
Pamela Ohman-Strickland ◽  
...  

Purpose: This study examined adherence with a physical activity tracker and patterns of activity among different subgroups of African American/Black breast cancer survivors (AABCS). Design: Secondary analysis of weight loss trial that used an activity tracker (FitBit) with or without a commercial eHealth program (SparkPeople) over 12 months. Setting and Subjects: AABCS (N = 44) in New Jersey. Measures and Analysis: Adherence with tracker use, steps per day, and active minutes per week were compared by demographic and clinical characteristics using nonparametric statistics. Results: Median adherence was over 6 days per week throughout the 12-months. Adherence was significantly correlated with steps and active minutes (p < 0.015). Groups with lower adherence included: those with 5 or more conditions (p = 0.039), had higher number of household members (p = 0.008), and younger than 60 years (p = 0.044). Median number of steps per day remained consistently around 7000 throughout 12 months. Factors associated with lower activity included: age > 60; retirement; higher number of household members, comorbidity, or baseline BMI; and those in the SparkPeople + Fitbit group. Self-monitoring, goal setting, and self-efficacy were significantly correlated with activity levels (p < 0.05). Conclusion: Use of a physical activity tracker may help increase activity levels in AABCS. Certain subgroups, e.g. those older than age 60 years, retired, with BMI over 40, higher number of comorbidities or more household members, may require additional interventions.


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