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 ◽  
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 ◽  
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 ◽  
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 Physical activity levels among ovarian cancer survivors: a prospective longitudinal cohort study

2021 ◽  
pp. ijgc-2020-002107
Author(s):  
Tamara Jones ◽  
Carolina Sandler ◽  
Dimitrios Vagenas ◽  
Monika Janda ◽  
Andreas Obermair ◽  
...  
Keyword(s):  
Physical Activity ◽  
Ovarian Cancer ◽  
Stage Iv ◽  
Multiple Time ◽  
Activity Levels ◽  
Prospective Longitudinal Study ◽  
Physical Activity Advice ◽  
Physical Activity Levels ◽  
Multiple Time Points ◽  
Prospective Longitudinal

ObjectivePhysical activity following cancer diagnosis is associated with improved outcomes, including potential survival benefits, yet physical activity levels among common cancer types tend to decrease following diagnosis and remain low. Physical activity levels following diagnosis of less common cancers, such as ovarian cancer, are less known. The objectives of this study were to describe physical activity levels and to explore characteristics associated with physical activity levels in women with ovarian cancer from pre-diagnosis to 2 years post-diagnosis.MethodsAs part of a prospective longitudinal study, physical activity levels of women with ovarian cancer were assessed at multiple time points between pre-diagnosis and 2 years post-diagnosis. Physical activity levels and change in physical activity were described using metabolic equivalent task hours and minutes per week, and categorically (sedentary, insufficiently, or sufficiently active). Generalized Estimating Equations were used to explore whether participant characteristics were related to physical activity levels.ResultsA total of 110 women with ovarian cancer with a median age of 62 years (range 33–88) at diagnosis were included. 53–57% of the women were sufficiently active post-diagnosis, although average physical activity levels for the cohort were below recommended levels throughout the 2-year follow-up period (120–142.5min/week). A decrease or no change in post-diagnosis physical activity was reported by 44–60% of women compared with pre-diagnosis physical activity levels. Women diagnosed with stage IV disease, those earning a lower income, those receiving chemotherapy, and those currently smoking or working were more likely to report lower physical activity levels and had increased odds of being insufficiently active or sedentary.ConclusionsInterventions providing patients with appropriate physical activity advice and support for behavior change could potentially improve physical activity levels and health outcomes.

scholarly journals Multiple Time Scales in Cataclysmic Variables: Observations Vs. Mathematical Models

1998 ◽  
Vol 11 (1) ◽  
pp. 375-375
Author(s):  
I.L. Andronov
Keyword(s):  
White Dwarf ◽  
Cataclysmic Variables ◽  
Theoretical Models ◽  
Magnetic Activity ◽  
Multiple Time Scales ◽  
State Transitions ◽  
Multiple Time ◽  
Intermediate Polars ◽  
Magnetic Cataclysmic Variables ◽  
The Magnetic Field

Theoretical models and observational evidence for various processes in magnetic cataclysmic variables are briefly reviewed. Among them: modulation of the accretion rate by the magnetic field of the white dwarf; excitation of the orientation change of the magnetic axis of the white dwarf with respect to the secondary; structure of the accretion column and its instability; mass and angular momentum transfer; magnetic activity of the secondary; high/low luminosity state transitions; QPO’s, ”shot noise” and ”red noise” in polars, intermediate polars and nova-like objects.

scholarly journals Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sandip Varkey George ◽  
Yoram K Kunkels ◽  
Sanne Booij ◽  
Marieke Wichers
Keyword(s):  
Physical Activity ◽  
Activity Patterns ◽  
Activity Levels ◽  
Complexity Measures ◽  
Depression Status ◽  
Depressed Group ◽  
Measured Activity ◽  
Data Points ◽  
Objectively Measured ◽  
Rhythm Stability

AbstractWhile the negative association between physical activity and depression has been well established, it is unclear what precise characteristics of physical activity patterns explain this association. Complexity measures may identify previously unexplored aspects of objectively measured activity patterns, such as the extent to which individuals show repetitive periods of physical activity and the diversity in durations of such repetitive activity patterns. We compared the complexity levels of actigraphy data gathered over 4 weeks ($$\sim 40000$$ ∼ 40000 data points each) for every individual, from non-depressed ($$n=25$$ n = 25 ) and depressed ($$n=21$$ n = 21 ) groups using recurrence plots. Significantly lower levels of complexity were detected in the actigraphy data from the depressed group as compared to non-depressed controls, both in terms of lower mean durations of periods of recurrent physical activity and less diversity in the duration of these periods. Further, diagnosis of depression was not significantly associated with mean activity levels or measures of circadian rhythm stability, and predicted depression status better than these.

scholarly journals Acoustic seabed classification: current practice and future directions

2008 ◽  
Vol 65 (6) ◽  
pp. 1004-1011 ◽  
Author(s):  
John T. Anderson ◽  
D. Van Holliday ◽  
Rudy Kloser ◽  
Dave G. Reid ◽  
Yvan Simard
Keyword(s):  
Current Practice ◽  
Spatial Scales ◽  
Theoretical Models ◽  
Natural World ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Marine Habitat ◽  
Future Directions ◽  
Single Beam ◽  
Seabed Classification

Abstract Anderson, J. T., Holliday, D. V., Kloser, R., Reid, D. G., and Simard, Y. 2008. Acoustic seabed classification: current practice and future directions. – ICES Journal of Marine Science, 65: 1004–1011. Acoustic remote sensing of the seabed using single-beam echosounders, multibeam echosounders, and sidescan sonars combined and individually are providing technological solutions to marine-habitat mapping initiatives. We believe the science of acoustic seabed classification (ASC) is at its nascence. A comprehensive review of ASC science was undertaken by an international group of scientists under the auspices of ICES. The review was prompted by the growing need to classify and map marine ecosystems across a range of spatial scales in support of ecosystem-based science for ocean management. A review of the theory of sound-scattering from seabeds emphasizes the variety of theoretical models currently in use and the ongoing evolution of our understanding. Acoustic-signal conditioning and data quality assurance before classification using objective, repeatable procedures are important technical considerations where standardization of methods is only just beginning. The issue of temporal and spatial scales is reviewed, with emphasis on matching observational scales to those of the natural world. It is emphasized throughout that the seabed is not static but changes over multiple time-scales as a consequence of natural physical and biological processes. A summary of existing commercial ASC systems provides an introduction to existing capabilities. Verification (ground-truthing) methods are reviewed, emphasizing the difficulties of matching observational scales with acoustic-backscatter data. Survey designs for ASC explore methods that extend beyond traditional oceanographic and fisheries survey techniques. Finally, future directions for acoustic seabed classification science were identified in the key areas requiring immediate attention by the international scientific community.

scholarly journals Impact of Health Literacy on Frailty among Community-Dwelling Seniors

2018 ◽  
Vol 7 (12) ◽  
pp. 481 ◽  
Author(s):  
Chi Huang ◽  
Yu-Cheng Lai ◽  
Yi Lee ◽  
Xiao Teong ◽  
Masafumi Kuzuya ◽  
...  
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
Health Literacy ◽  
Health Behavior Change ◽  
Community Dwelling ◽  
Multivariate Logistic Regression Model ◽  
Activity Levels ◽  
Residential Areas ◽  
Frailty Phenotype ◽  
Cross Sectional

Health literacy has been reported to have effects on health behavior change and health-related outcomes, but few studies have explored the association between health literacy and frailty. The aim of our study is to investigate the relationships between health literacy and frailty among community-dwelling seniors. This cross-sectional study enrolled 603 community-dwelling older adults (307 women) in residential areas, with a mean age of 70.9 ± 5.82 years. Health literacy was assessed using the Mandarin version of the European Health Literacy Survey Questionnaire. Physical frailty was defined by Fried frailty phenotype. Logistic regression was carried out to determine potential risk factors of frailty. In the multivariate logistic regression model, physical activity (Odds Ratio [OR] 1.47, 95% Confidence Interval [CI] 1.06–2.03) and health literacy (sufficient vs. excellent: OR 2.51, 95% CI 1.32–4.77) were associated with prefrailty and frailty. In subgroup analysis, pre-frailty and frailty were also negatively associated with health literacy in individuals with ‘insufficiently active’ (inadequate vs. excellent: OR 5.44, 95% CI 1.6–18.45) and ‘sufficiently/highly active’ physical activity levels (sufficient vs. excellent: OR 2.41, 95% CI 1.07–5.42). Therefore, in these community-dwelling elderly adults, health literacy was associated with pre-frailty and frailty regardless of age, gender, socio-economic status, and education level.

scholarly journals The impact of starbursts on element abundance ratios

2020 ◽  
Vol 498 (1) ◽  
pp. 1364-1381
Author(s):  
James W Johnson ◽  
David H Weinberg
Keyword(s):  
Star Formation ◽  
Chemical Evolution ◽  
Formation Rate ◽  
Theoretical Models ◽  
Asymptotic Giant Branch ◽  
Element Abundance ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Asymptotic Giant Branch Star ◽  
The Impact

ABSTRACT We investigate the impact of bursts in star formation on the predictions of one-zone chemical evolution models, adopting oxygen (O), iron (Fe), and strontium (Sr), as representative α, iron-peak, and s-process elements, respectively. To this end, we develop and make use of the Versatile Integrator for Chemical Evolution (VICE), a python package designed to handle flexible user-specified evolutionary parameters. Starbursts driven by a temporary boost of gas accretion rate create loops in [O/Fe]–[Fe/H] evolutionary tracks and a peak in the stellar [O/Fe] distribution at intermediate values. Bursts driven by a temporary boost of star formation efficiency have similar effects, and they also produce a population of α-deficient stars during the depressed star formation phase following the burst. This α-deficient population is more prominent if the outflow rate is tied to a time-averaged star formation rate (SFR) instead of the instantaneous SFR. Theoretical models of Sr production predict a strong metallicity dependence of supernova and asymptotic giant branch star yields, though comparison to data suggests an additional, nearly metallicity-independent source. Evolution of [Sr/Fe] and [Sr/O] during a starburst is complex because of this metallicity dependence and the multiple time-scales at play. Moderate amplitude (10–20 per cent) sinusoidal oscillations in SFR produce loops in [O/Fe]–[Fe/H] tracks and multiple peaks in [O/Fe] distributions, a potential source of intrinsic scatter in observed sequences. We investigate the impact of a factor ∼2 enhancement of Galactic star formation ∼2 Gyr ago, as suggested by some recent observations. VICE is publicly available at <http://pypi.org/project/vice/>.

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