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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640808PMC
http://dx.doi.org/10.1177/10732748231214122DOI Listing

Publication Analysis

Top Keywords

coach monitoring
20
adherence dietary
12
household support
12
improve adherence
8
cancer prevention
8
guidelines cancer
8
participants received
8
nutrition education
8
education self-regulation
8
self-regulation skills
8

Similar Publications

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 PDF

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.

View Article and Find Full Text PDF

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 PDF

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 PDF
Article Synopsis
  • This study investigated how the load-velocity relationship variables change after different levels of fatigue induced by hexagonal barbell deadlift exercises in male resistance-trained individuals.
  • In three sessions, participants underwent either control (no training), moderate fatigue (5 sets at 70% 1RM), or high fatigue (5 sets to failure at 70% 1RM) protocols, with pre- and post-session load-velocity tests to measure changes.
  • Results showed that both 1 repetition maximum (1RM) and velocity variables were significantly reduced more in the high-fatigue condition, indicating that load-velocity relationship variables can effectively monitor fatigue levels during resistance training.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!