Decision-Making in Health and Fitness

Families' expectations of an eHealth family-based cardiovascular disease-risk reduction programme

AIM

Research has shown that families' participation in a cardiovascular disease (CVD) prevention programme could boost early adoption of healthy lifestyle behaviours in families. Behaviour-based, eHealth interventions are a potential means of achieving this. This study aimed to explore expectations of families-parents and children-at risk of CVD towards the design and functionality of an eHealth family-based CVD-risk reduction programme 'Health-e-Hearts'.

METHODS AND RESULTS

Three online focus groups were conducted with six families comprising at least one parent at risk of CVD and at least one child aged 5-17 years. The focus groups were video and audio recorded and transcribed. Content analysis was used to synthesize and identify key categories and subcategories regarding development of and engagement with an eHealth programme. Three categories emerged: experiences of health apps and devices; eHealth application needs of family members; and motivators for using an eHealth programme. Experiences included using health apps individually and inconsistently. Needs included personalization, free and easy-to-use, time efficient, and multiple content formats. Motivators for engaging with the programme included goal setting, rewards, and competition.

CONCLUSION

Families' expectations of an eHealth family-based CVD-risk reduction programme include the incorporation of personalized, easy-to-use design features and motivators for engaging with the programme. Family involvement in the development of an eHealth programme such as 'Health-e-Hearts' has the potential to boost early adoption of healthy lifestyle behaviours among all family members.

My Wellness Coach: evaluation of a mobile app designed to promote integrative health among underserved populations

Underserved populations, including those from racial and ethnic groups and with low socioeconomic status, often lack access to mobile apps aimed at reducing health risk factors. This study evaluated the feasibility, acceptability, and preliminary effectiveness of the mobile app, My Wellness Coach (MWC), designed to promote behavior change in seven core areas of integrative health among underserved populations. Patients and staff were recruited from clinic and other settings. Some participants used MWC in a weekly group setting (n = 5); others on their own with support from a coordinator (n = 36). Health outcomes were assessed at baseline and 3 months. Mobile app ratings were collected at 5 weeks and 3 months. Goal setting data were analyzed at 3 months. Most participants (76%) set at least one goal, 71% created action steps for goals, and 29% completed a goal. Patients in the group setting had the highest rate of goal completion (60%) compared to patients (20%) and staff (27%) using the app on their own. Significant (p < .05) changes in pre- and post-test scores were documented for overall wellbeing, global physical health, BMI, vigorous physical activity, and eHealth literacy. Most participants (75%-91%) gave MWC high ratings for impact on behavior change, help seeking, intent to change, attitudes, knowledge, and awareness. This study documented preliminary evidence of the potential benefits of MWC among underserved communities. Future evaluations of Spanish and Android versions and comparisons between group and individual administration will inform implementation strategies for scaling MWC-based interventions to reach underserved communities nationally.

Opportunities for theory-informed decision science in cancer control

Cancer prevention and control involves navigation of complex clinical decisions, often laden with uncertainty and/or intricate interpersonal dynamics, which have implications for both physical health and quality of life. Cancer decision-making research in recent decades has primarily focused on working to improve the quality of decisions by providing patients with detailed information about their choices and through an increased emphasis in medicine on the importance of shared decision making. This emphasis is reflective of a model of decision making that emphasizes knowledge, options, and deliberative synthesis of information as primary to decision making; yet, decades of research in psychology, decision science, and behavioral economics have taught us that our decisions are not influenced only by our objective knowledge of facts, but by our emotions, by the influence of others, and by biased cognitive processes. We present a conceptual framework for a future of research in decision science and cancer that is informed by decision science theories. Our framework incorporates greater recognition of the interpersonal dynamics of shared decision making, including the biases (including cognitive heuristics and race-based bias) that may affect multiple actors in the decision-making process, and emphasizes study of the interaction between deliberative and affective psychological processes as they relate to decision making. This work should be conducted with an eye toward informing efforts to improve decision making across the cancer care continuum, through interventions that are also informed by theory.

Maximum Aerobic Function: Clinical Relevance, Physiological Underpinnings, and Practical Application

The earliest humans relied on large quantities of metabolic energy from the oxidation of fatty acids to develop larger brains and bodies, prevent and reduce disease risk, extend longevity, in addition to other benefits. This was enabled through the consumption of a high fat and low-carbohydrate diet (LCD). Increased fat oxidation also supported daily bouts of prolonged, low-intensity, aerobic-based physical activity. Over the past 40-plus years, a clinical program has been developed to help people manage their lifestyles to promote increased fat oxidation as a means to improve various aspects of health and fitness that include reducing excess body fat, preventing disease, and optimizing human performance. This program is referred to as maximum aerobic function, and includes the practical application of a personalized exercise heart rate (HR) formula of low-to-moderate intensity associated with maximal fat oxidation (MFO), and without the need for laboratory evaluations. The relationship between exercise training at this HR and associated laboratory measures of MFO, health outcomes and athletic performance must be verified scientifically.