Objectives: Prevention programs that can help adults improve the quality of their diets to reduce cancer risk are needed. This Phase IIa study prospectively tested a mHealth intervention designed to improve adherence to dietary quality guidelines for cancer prevention.
Methods: All participants (N = 62) received nutrition education and a self-regulation skills curriculum, with a primary target of changing grocery shopping behavior. Using a randomized, factorial design, the study varied whether each of the following 4 components were added to the 20-week intervention: (1) location-triggered app messaging, delivered when individuals arrived at grocery stores, (2) reflections on benefits of change, delivered with extra coaching time and tailored app messages, (3) coach monitoring, in which food purchases were digitally monitored by a coach, and (4) involvement of a household member in the intervention.
Results: Benchmarks were successfully met for recruitment, retention, and treatment acceptability. Across conditions, there were significant reductions in highly processed food intake ( < .001, η = .48), red and processed meat intake ( < .001, η = .20), and sugar-sweetened beverage intake ( = .008, η = .13) from pre-to post-treatment. Analyses examining whether each intervention component influenced change across time found that participants who received coach monitoring increased their intake of fruits, vegetables, and fiber, whereas those with no coach monitoring had less improvement ( = .01, η = .14). The improvement in red and processed meat was stronger among participants with household support ON, at a marginally significant level, than those with household support OFF ( = .056, η = .07).
Conclusion: This study showed feasibility, acceptability, and preliminary signals of efficacy of a remotely delivered intervention to facilitate adherence to dietary guidelines for cancer prevention and that coach monitoring and household support may be especially effective strategies. A fully powered clinical trial is warranted to test an optimized version of the intervention that includes nutrition education, self-regulation skills training, coach monitoring, and household member involvement.
Trial Registration: ClinicalTrials.gov NCT04947150.
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http://dx.doi.org/10.1177/10732748231214122 | DOI Listing |
Biosensors (Basel)
November 2024
Department of Experimental Medicine, University of Salento, 73100 Lecce, Italy.
Wearable technology has advanced significantly, offering real-time monitoring of athletes' physiological parameters and optimizing training and recovery strategies. Recent developments focus on biosensor devices capable of monitoring biochemical parameters in addition to physiological ones. These devices employ noninvasive methods such as sweat analysis, which reveals critical biomarkers like glucose, lactate, electrolytes, pH, and cortisol.
View Article and Find Full Text PDFInt J Sports Physiol Perform
December 2024
Department of Neuromedicine and Movement Science, Center for Elite Sports Research, Norwegian University of Science and Technology, Trondheim, Norway.
Purpose: To describe warning signs, monitoring tools, and training- and non-training-related actions taken by world-class endurance coaches in cases of underperformance.
Methods: Twelve highly acclaimed male Norwegian coaches known for coaching world-class endurance athletes with a remarkable collection of over 350 Olympic, World, and European Championship medals-primarily with Norwegian athletes-participated in the study. Data collection and analyses followed a 3-step pragmatic qualitative study design, including an initial questionnaire, in-depth interviews, and structured negotiation between researchers and coaches.
NPJ Digit Med
December 2024
Whoop Inc., Data Science and Research, Boston, MA, USA.
Currently, knowledge of changes in cardiovascular function across the menstrual cycle and how these changes may inform upon underlying health is limited. Utilizing wrist-worn biometric data we developed a novel measure to quantify and investigate the cardiovascular fluctuation (i.e.
View Article and Find Full Text PDFRev Panam Salud Publica
December 2024
The University of the West Indies at Cave Hill Bridgetown, Saint Michael Barbados The University of the West Indies at Cave Hill, Bridgetown, Saint Michael, Barbados.
The CaribData project, funded by the Inter-American Development Bank and implemented by The University of the West Indies, aims to enhance data-handling, -sharing and reuse capabilities in the Caribbean. The project focuses on four main objectives: developing an online data-handling platform, creating a sustainable training and mentoring program, launching a data communication initiative and conducting data availability audits. To evaluate its progress, CaribData integrates two implementation science frameworks, RE-AIM (for Reach, Effectiveness, Adoption, Implementation, Maintenance) and the Consolidated Framework for Implementation Research.
View Article and Find Full Text PDFJ Strength Cond Res
December 2024
Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain; and.
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