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Background: Interventions targeting moderate-to-vigorous physical activity (MVPA) may be a catalyst for improving other lifestyle behaviors in breast cancer survivors (BCS). We examined whether Fit2Thrive, an mHealth MVPA intervention, influenced adherence to cancer prevention recommendations.
Methods: BCSs (N = 269; age, mean = 52.9; SD = 9.9) received a 12-week mHealth MVPA intervention and were randomized to "on" or "off" level of five intervention components. The World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) score was calculated (0 = high cancer risk, 6 = low cancer risk) based on cancer prevention recommendations: sugar-sweetened beverages, fast food, fruit/vegetable intake, body mass index, alcohol consumption, and MVPA (baseline, 12 weeks, and 24 weeks). Mixed-effects models examined changes in the WCRF/AICR score and each risk factor and the effects of each intervention component (telephone support calls, Fitbit Buddy, tailored text messages, deluxe app, online gym) level on the WCRF/AICR score.
Results: The WCRF/AICR total score significantly improved at 12 and 24 weeks (P values < 0.001). MVPA improved at 12 and 24 weeks (P values < 0.001). Fruit and vegetable consumption improved at 12 weeks (P = 0.01). No changes in other risk factors were observed.
Conclusions: Participation in a mHealth MVPA intervention may influence cancer risk in BCS and have effects on certain untargeted behaviors (fruit and vegetable consumption) but not on other risk factors (sugar-sweetened beverages, fast food, body mass index, alcohol consumption). Future work should explore how to maximize these effects and determine if resource-efficient dietary intervention components improve cancer outcomes.
Impact: Understanding the impact of an mHealth MVPA intervention on untargeted dietary behaviors may guide the development of scalable interventions targeting lifestyle behaviors.
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http://dx.doi.org/10.1158/1055-9965.EPI-25-0167 | DOI Listing |
JMIR Mhealth Uhealth
August 2025
Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, MA, 02115, United States, 1 6174321195.
Background: The association between physical activity (PA) behavior and cardiometabolic risk factors has depended largely on questionnaire-based reporting. More studies are turning to mobile health (mHealth) device solutions to measure PA. While there are differences between self-reported activity levels and objectively measured accelerometer-based activity, how these differences manifest in disease risk is unknown.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
August 2025
Chinese Academy of Medical Sciences, Peking Union Medical College School of Nursing, No 33 Ba Da Chu Road, Shijingshan District, Beijing, 100144, China, 86 13522112889.
Background: Overweight and obesity have become a public health issue. Lifestyle modifications delivered through mobile devices, especially mobile phones, present an opportunity to support weight loss efforts. However, evidence regarding the effects of mobile apps on other outcomes, such as blood pressure and physical activity (PA), remains limited.
View Article and Find Full Text PDFTransl Behav Med
January 2025
Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Chicago, IL 60611, United States.
Background: Most breast cancer survivors (BCS) are insufficiently active. mHealth moderate-to-vigorous physical activity (MVPA) interventions for BCS are highly scalable, but the feasibility and acceptability of specific intervention components are unknown.
Purpose: The purpose of this study is to examine the feasibility and acceptability of the Fit2Thrive MVPA promotion intervention components.
JMIR Mhealth Uhealth
August 2025
Department of Health Behavior and Nutrition Sciences, University of Delaware, 26 North College Avenue (013 Carpenter Sports Building), Newark, Delaware, 19716, United States, 1 302 831 0762.
Background: With the continuous evolution of technology, wearable accelerometers have become one of the most popular means of measuring daily physical activity (PA) levels. Despite the conventional use of the nondominant wrist as a device placement in numerous PA studies, the impact of wrist-worn accelerometer placement on PA data outcomes remains uncertain.
Objective: This study aimed to examine the degree of agreement between accelerometry data collected from CentrePoint Insight Watches (CPIWs; ActiGraph) worn on the dominant and nondominant wrists of young adults in free-living conditions.
Mhealth
July 2025
Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
Background: Globally, preschoolers' physical activity (PA) levels are lower than recommended. Digital interventions involving child-centered approaches hold promise for increasing PA behaviors. The objective of this cross-sectional study was to evaluate the acute effects of 3 custom mobile apps, Foods & Moves, on preschooler's PA outcomes in comparison with traditional physical education (PE) activities as part of the HEalthy EnviROnments (HEROs) Study.
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