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      Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework

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          Abstract

          Background

          The integration of body-worn sensors with mobile devices presents a tremendous opportunity to improve just-in-time behavioral interventions by enhancing bidirectional communication between investigators and their participants. This approach can be used to deliver supportive feedback at critical moments to optimize the attainment of health behavior goals.

          Objective

          The goals of this systematic review were to summarize data on the content characteristics of feedback messaging used in diet and physical activity (PA) interventions and to develop a practical framework for designing just-in-time feedback for behavioral interventions.

          Methods

          Interventions that included just-in-time feedback on PA, sedentary behavior, or dietary intake were eligible for inclusion. Feedback content and efficacy data were synthesized descriptively.

          Results

          The review included 31 studies (15/31, 48%, targeting PA or sedentary behavior only; 13/31, 42%, targeting diet and PA; and 3/31, 10%, targeting diet only). All studies used just-in-time feedback, 30 (97%, 30/31) used personalized feedback, and 24 (78%, 24/31) used goal-oriented feedback, but only 5 (16%, 5/31) used actionable feedback. Of the 9 studies that tested the efficacy of providing feedback to promote behavior change, 4 reported significant improvements in health behavior. In 3 of these 4 studies, feedback was continuously available, goal-oriented, or actionable.

          Conclusions

          Feedback that was continuously available, personalized, and actionable relative to a known behavioral objective was prominent in intervention studies with significant behavior change outcomes. Future research should determine whether all or some of these characteristics are needed to optimize the effect of feedback in just-in-time interventions.

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          Most cited references41

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          Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support

          Background The just-in-time adaptive intervention (JITAI) is an intervention design aiming to provide the right type/amount of support, at the right time, by adapting to an individual’s changing internal and contextual state. The availability of increasingly powerful mobile and sensing technologies underpins the use of JITAIs to support health behavior, as in such a setting an individual’s state can change rapidly, unexpectedly, and in his/her natural environment. Purpose Despite the increasing use and appeal of JITAIs, a major gap exists between the growing technological capabilities for delivering JITAIs and research on the development and evaluation of these interventions. Many JITAIs have been developed with minimal use of empirical evidence, theory, or accepted treatment guidelines. Here, we take an essential first step towards bridging this gap. Methods Building on health behavior theories and the extant literature on JITAIs, we clarify the scientific motivation for JITAIs, define their fundamental components, and highlight design principles related to these components. Examples of JITAIs from various domains of health behavior research are used for illustration. Conclusions As we enter a new era of technological capacity for delivering JITAIs, it is critical that researchers develop sophisticated and nuanced health behavior theories capable of guiding the construction of such interventions. Particular attention has to be given to better understanding the implications of providing timely and ecologically sound support for intervention adherence and retention We clarify the scientific motivation for the Just-In-Time Adaptive Interventions, define its fundamental components, and discuss key design principles for each component.
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            A Meta-Analytic Review of the Theories of Reasoned Action and Planned Behavior in Physical Activity: Predictive Validity and the Contribution of Additional Variables

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              Control theory: a useful conceptual framework for personality-social, clinical, and health psychology.

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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                March 2018
                22 March 2018
                : 20
                : 3
                : e106
                Affiliations
                [1] 1 Department of Behavioral Science Division of Cancer Control and Population Sciences The University of Texas MD Anderson Cancer Center Houston, TX United States
                [2] 2 Institute for Health Promotion & Disease Prevention Department of Preventive Medicine University of Southern California Los Angeles, CA United States
                [3] 3 Division of Behavioral Medicine Department of Family Medicine and Public Health University of California, San Diego San Diego, CA United States
                [4] 4 Department of Epidemiology University of Texas School of Public Health The University of Texas Health Science Center at Houston Houston, TX United States
                [5] 5 Department of Family and Consumer Sciences College of Health Science Sam Houston State University Huntsville, TX United States
                [6] 6 Research Medical Library The University of Texas MD Anderson Cancer Center Houston, TX United States
                Author notes
                Corresponding Author: Susan M Schembre sschembre@ 123456mdanderson.org
                Author information
                http://orcid.org/0000-0002-9945-7136
                http://orcid.org/0000-0002-9384-336X
                http://orcid.org/0000-0002-2240-014X
                http://orcid.org/0000-0002-4129-3829
                http://orcid.org/0000-0003-2341-8138
                http://orcid.org/0000-0002-8822-7597
                http://orcid.org/0000-0002-4668-7122
                http://orcid.org/0000-0001-7299-0646
                http://orcid.org/0000-0003-4317-5671
                Article
                v20i3e106
                10.2196/jmir.8701
                5887039
                29567638
                18a5cd18-779b-44a5-b756-c62cf2673b2f
                ©Susan M Schembre, Yue Liao, Michael C Robertson, Genevieve Fridlund Dunton, Jacqueline Kerr, Meghan E Haffey, Taylor Burnett, Karen Basen-Engquist, Rachel S Hicklen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.03.2018.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 10 August 2017
                : 18 September 2017
                : 19 December 2017
                : 22 December 2017
                Categories
                Review
                Review

                Medicine
                health behavior,diet,exercise,task performance and analysis,internet,mhealth,accelerometer,activity monitor,self-tracking,wearable sensors

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