scholarly journals Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles

2020 ◽  
Author(s):  
Paul Dulaud ◽  
Ines Di Loreto ◽  
Denis Mottet
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Theoretical Models ◽  
Health Behavior Change ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Quantified Self ◽  
Activity Increase ◽  
Measured Activity ◽  
Activity Preference

Since the emergence of the quantified self movement, users aim at health behavior change, but only those who are sufficiently motivated and competent with the tools will succeed. Our literature review shows that theoretical models for quantified self exist but they are too abstract to guide the design of effective user support systems. Here, we propose principles linking theory and implementation to arrive at a hierarchical model for an adaptable and personalized self-quantification system for physical activity support. We show that such a modeling approach should include a multi-factors user model (activity, context, personality, motivation), a hierarchy of multiple time scales (week, day, hour), and a multi-criteria decision analysis (user activity preference, user measured activity, external parameters). Although the implementation still raises many challenges, principles linking theory and implementation should facilitate the design of effective self-quantification system aimed at physical activity increase, and more widely for behavior change.

scholarly journals Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles

2020 ◽  
Vol 17 (24) ◽  
pp. 9350
Author(s):  
Paul Dulaud ◽  
Ines Di Loreto ◽  
Denis Mottet
Keyword(s):  
Physical Activity ◽  
Literature Review ◽  
Theoretical Models ◽  
Health Behavior Change ◽  
User Model ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Quantified Self ◽  
Measured Activity ◽  
Activity Preference

Since the emergence of the quantified self movement, users aim at health behavior change, but only those who are sufficiently motivated and competent with the tools will succeed. Our literature review shows that theoretical models for quantified self exist but they are too abstract to guide the design of effective user support systems. Here, we propose principles linking theory and implementation to arrive at a hierarchical model for an adaptable and personalized self-quantification system for physical activity support. We show that such a modeling approach should include a multi-factors user model (activity, context, personality, motivation), a hierarchy of multiple time scales (week, day, hour), and a multi-criteria decision analysis (user activity preference, user measured activity, external parameters). This theoretical groundwork, which should facilitate the design of more effective solutions, has now to be validated by further empirical research.

scholarly journals Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles

2020 ◽  
Author(s):  
Paul Dulaud ◽  
Ines Di Loreto ◽  
Denis Mottet
Keyword(s):  
Physical Activity ◽  
Theoretical Models ◽  
Health Behavior Change ◽  
User Model ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Activity Levels ◽  
Quantified Self ◽  
Measured Activity ◽  
Activity Preference

Since the emergence of the quantified self movement, users aim at health behavior change, but only those who are sufficiently motivated and competent with the tools will succeed. Our literature review shows that theoretical models for quantified self exist but they are too abstract to guide the design of effective user support systems. Here, we propose principles linking theory and implementation to arrive at a hierarchical model for an adaptable and personalized self-quantification system for physical activity support. We show that such a modeling approach should include a multi-factors user model (activity, context, personality, motivation), a hierarchy of multiple time scales (week, day, hour), and a multi-criteria decision analysis (user activity preference, user measured activity, external parameters). While implementation still poses many challenges, principles linking theory to implementation should facilitate the design of effective self-quantification systems. In this way, users who wish to improve their physical activity levels could be better supported.

scholarly journals Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles

2020 ◽  
Author(s):  
Paul Dulaud ◽  
Ines Di Loreto ◽  
Denis Mottet
Keyword(s):  
Physical Activity ◽  
Literature Review ◽  
Theoretical Models ◽  
Health Behavior Change ◽  
User Model ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Quantified Self ◽  
Measured Activity ◽  
Activity Preference

Since the emergence of the quantified self movement, users aim at health behavior change, but only those who are sufficiently motivated and competent with the tools will succeed. Our literature review shows that theoretical models for quantified self exist but they are too abstract to guide the design of effective user support systems. Here, we propose principles linking theory and implementation to arrive at a hierarchical model for an adaptable and personalized self-quantification system for physical activity support. We show that such a modeling approach should include a multi-factors user model (activity, context, personality, motivation), a hierarchy of multiple time scales (week, day, hour), and a multi-criteria decision analysis (user activity preference, user measured activity, external parameters). This theoretical groundwork, which should facilitate the design of more effective solutions, has now to be validated by further empirical research.

scholarly journals Fear of Cancer Recurrence: A Model Examination of Physical Symptoms, Emotional Distress, and Health Behavior Change

2019 ◽  
Vol 15 (9) ◽  
pp. e787-e797 ◽  
Author(s):  
Daniel L. Hall ◽  
Rachel B. Jimenez ◽  
Giselle K. Perez ◽  
Julia Rabin ◽  
Katharine Quain ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Health Behaviors ◽  
Emotional Distress ◽  
Cancer Recurrence ◽  
Health Behavior Change ◽  
Physical Symptoms ◽  
Fear Of Cancer Recurrence ◽  
Fear Of Cancer

PURPOSE: Fear of cancer recurrence is highly prevalent among adult survivors of cancer. The role of fear of recurrence in the emotional distress of survivors of cancer, as well as health behaviors that may directly affect their health, remains unclear. To advance oncology practice, this study sought to examine the extent to which fear of recurrence stemming from physical symptoms accounts for emotional distress in a large sample of adult survivors of cancer and to extend the model to explain postdiagnosis self-reported health behavior change. METHODS: In 2016, 258 survivors of cancer at an academic hospital completed a survey of psychosocial needs. Items assessed physical symptoms (checklist), fear of cancer recurrence (Assessment of Survivor Concerns), emotional distress (anxiety and depressed mood), and health behaviors (current alcohol use, physical activity, diet, and sunscreen use, as well as changes after cancer diagnosis) informed by National Comprehensive Cancer Network survivorship guidelines. Indirect effects regression models accounting for relevant covariates (age and treatment history) used 5,000-iteration bootstrapping. RESULTS: Higher fear of cancer recurrence was associated with greater number of physical symptoms ( P < .001), greater emotional distress ( P < .05), lower moderate or vigorous physical activity ( P < .05), higher sunscreen use ( P < .05), and postdiagnosis increases in alcohol use ( P < .01) and reductions in physical activity ( P < .01). Fear of cancer recurrence models accounted for almost half of the variance in distress of survivors of cancer ( R2 = 0.44, P < .001) and, to a lesser yet significant extent, changes in alcohol consumption ( R2 = 0.09, P < .001) and physical activity ( R2 = 0.06, P = .003). CONCLUSION: Fear of cancer recurrence plays a central role in the emotional distress and key health behaviors of survivors of cancer. These findings support fear of cancer recurrence as a potential target for emotional health and health behavior change interventions.

scholarly journals Promoting Healthy Eating and Physical Activity Behaviors: A Systematic Review of Multiple Health Behavior Change Interventions Among Cancer Survivors

2016 ◽  
Vol 12 (3) ◽  
pp. 184-199 ◽  
Author(s):  
Steve Amireault ◽  
Angela J. Fong ◽  
Catherine M. Sabiston
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Cancer Survivors ◽  
Healthy Eating ◽  
Health Behavior Change ◽  
Cochrane Library ◽  
Multiple Health Behavior Change ◽  
The Impact ◽  
Multiple Health

Multiple health behavior change (MHBC) interventions have great potential for enhancing health and well-being following cancer diagnosis and treatment. However, the characteristics and effects of MHBC interventions remain elusive for cancer survivors. The main purpose of this study was to evaluate the effectiveness of MHBC interventions on healthy eating and physical activity behaviors among cancer survivors. A secondary aim was to examine the effect of using a simultaneous and sequential design approach to MHBC (ie, changing both behaviors at the same time or one after the other). Randomized controlled trials reporting the impact of a MHBC intervention on both healthy eating and physical activity behaviors among cancer survivors were retrieved from MEDLINE, Cochrane Library, and PsycINFO. A total of 27 MHBC interventions were identified; most (92.6%) were designed to promote simultaneous change in both behaviors and assessed end-of-treatment effect among breast cancer survivors. MHBC interventions led by nurses or multidisciplinary teams showed the most compelling evidence for small to moderate improvement in both behaviors, with interventions that lasted ≥17 weeks more likely to improve both behaviors. This study identifies research priorities and provides preliminary evidence for clinical decision making and advancements in MHBC intervention design and delivery for clinical oncology.

scholarly journals Mindfulness-Informed Guided Imagery to Target Physical Activity: A Mixed Method Feasibility and Acceptability Pilot Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Alexis D. Mitchell ◽  
Laura E. Martin ◽  
Austin S. Baldwin ◽  
Sara M. Levens
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Guided Imagery ◽  
Self Regulation ◽  
Health Behavior Change ◽  
Second Phase ◽  
Supporting Evidence ◽  
Initial Development ◽  
Activity Enjoyment

Physical activity offers substantial mind-body health benefits and reduced mortality, yet many individuals are chronically underactive. Physical activity interventions may benefit from integrative approaches that join components of mindfulness and neurobiological models of behavior. Mindfulness increases one’s awareness of cognitions and physical sensations to potentially facilitate self-regulation, while neurobiological models such as the dual system model of health behavior offer guidance on improving physical activity intervention targets. This 2-phase study includes an initial development process to create brief (∼4 min) mindfulness informed guided imagery audio files that target distinct cognitive and affective processes to promote physical activity. In the second phase, participants completed a 2-week pilot intervention study to gather qualitative and quantitative data on intervention feasibility and acceptability. Participants endorsed the mindfulness informed guided imagery as easy to use, enjoyable and helpful. Over a 2-week intervention period participants reported positive shifts in behavior change, physical activity enjoyment, increased mindfulness during physical activity, and increased physical exercise self-efficacy and satisfaction. Interview data revealed that participants increased their frequency of physical activity and tended to experience positive affect during physical activity, engaged in future oriented thinking and were able to view physical activity in a more positive light. Findings support the feasibility and acceptability of an integrative online mindfulness informed guided imagery intervention to promote physical activity enjoyment and engagement. This study extends health behavior change intervention research and provides supporting evidence for a flexible and tailorable online mindfulness-based intervention.

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