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      Effectiveness of Combined Smartwatch and Social Media Intervention on Breast Cancer Survivor Health Outcomes: A 10-Week Pilot Randomized Trial

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          Abstract

          Physical activity (PA) among breast cancer survivors (BCS) can improve this population’s health and quality of life (QoL). This study evaluated the effectiveness of a combined smartwatch- and social media-based health education intervention on BCS’s health outcomes. Thirty BCS ( X ¯ age = 52.6 ± 9.3 years; X ¯ Wt = 80.2 ± 19.6 kg) participated in this 10-week, 2-arm randomized trial, with BCS randomized into: (1) experimental group ( n = 16): received Polar M400 smartwatches for daily PA tracking and joined a Facebook group wherein Social Cognitive Theory-related PA tips were provided twice weekly; and (2) comparison group ( n = 14): only joined separate, but content-identical Facebook group. Outcomes included PA, physiological, psychosocial, and QoL variables. Specifically, PA and energy expenditure (EE) was assessed by ActiGraph GT3X+ accelerometers while physiological, psychosocial, and QoL were examined via validated instruments at baseline and post-intervention. No baseline group differences were observed for any variable. Ten BCS dropped out of the study (experimental: 4; comparison: 6). Compared to completers, dropouts differed significantly on several outcomes. Thus, a per-protocol analysis was performed, revealing significant group differences for changes in social support ( t = −2.1, p = 0.05) and barriers ( t = −2.2, p = 0.04). Interestingly, the comparison group demonstrated improvements for both variables while the intervention group demonstrated slightly decreased social support and no change in barriers. Notably, both groups demonstrated similarly increased daily light PA, moderate-to-vigorous PA, EE, and steps of 7.7 min, 5.1 min, 25.1 kcals, and 339 steps, respectively, over time. Despite extensive user training, several experimental BCS found the Polar M400 use difficult—possibly decreasing intervention adherence. Future interventions should utilize simpler smartwatches to promote PA among middle-aged clinical/non-clinical populations.

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          Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis

          Background Electronic activity monitors (such as those manufactured by Fitbit, Jawbone, and Nike) improve on standard pedometers by providing automated feedback and interactive behavior change tools via mobile device or personal computer. These monitors are commercially popular and show promise for use in public health interventions. However, little is known about the content of their feedback applications and how individual monitors may differ from one another. Objective The purpose of this study was to describe the behavior change techniques implemented in commercially available electronic activity monitors. Methods Electronic activity monitors (N=13) were systematically identified and tested by 3 trained coders for at least 1 week each. All monitors measured lifestyle physical activity and provided feedback via an app (computer or mobile). Coding was based on a hierarchical list of 93 behavior change techniques. Further coding of potentially effective techniques and adherence to theory-based recommendations were based on findings from meta-analyses and meta-regressions in the research literature. Results All monitors provided tools for self-monitoring, feedback, and environmental change by definition. The next most prevalent techniques (13 out of 13 monitors) were goal-setting and emphasizing discrepancy between current and goal behavior. Review of behavioral goals, social support, social comparison, prompts/cues, rewards, and a focus on past success were found in more than half of the systems. The monitors included a range of 5-10 of 14 total techniques identified from the research literature as potentially effective. Most of the monitors included goal-setting, self-monitoring, and feedback content that closely matched recommendations from social cognitive theory. Conclusions Electronic activity monitors contain a wide range of behavior change techniques typically used in clinical behavioral interventions. Thus, the monitors may represent a medium by which these interventions could be translated for widespread use. This technology has broad applications for use in clinical, public health, and rehabilitation settings.
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            Effectance Motivation Reconsidered Toward a Developmental Model

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              Randomized Trial of a Fitbit-Based Physical Activity Intervention for Women.

              Direct-to-consumer mHealth devices are a potential asset to behavioral research but rarely tested as intervention tools. This trial examined the accelerometer-based Fitbit tracker and website as a low-touch physical activity intervention. The purpose of this study is to evaluate, within an RCT, the feasibility and preliminary efficacy of integrating the Fitbit tracker and website into a physical activity intervention for postmenopausal women.
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                Author and article information

                Journal
                J Clin Med
                J Clin Med
                jcm
                Journal of Clinical Medicine
                MDPI
                2077-0383
                07 June 2018
                June 2018
                : 7
                : 6
                : 140
                Affiliations
                [1 ]School of Kinesiology, University of Minnesota, 1900 University Ave. SE, Minneapolis, MN 55455, USA; popex157@ 123456umn.edu (Z.C.P.); zengx185@ 123456umn.edu (N.Z.); zhan1386@ 123456umn.edu (R.Z.)
                [2 ]College of Pharmacy, and Institute for Health Informatics, University of Minnesota, 8-116 Phillips-Wangensteen Building, 516 Delaware Street SE, Minneapolis, MN 55455, USA
                [3 ]School of Social Work, The University of Alabama, 1022 Little Hall, Box 870314, Tuscaloosa, AL 35487, USA; hlee94@ 123456ua.edu
                Author notes
                [* ]Correspondence: gaoz@ 123456umn.edu ; Tel.: +1-(612)-626-4639; Fax: +1-(612)-626-7700
                Author information
                https://orcid.org/0000-0002-8521-4619
                https://orcid.org/0000-0003-4491-4974
                https://orcid.org/0000-0002-6037-0439
                Article
                jcm-07-00140
                10.3390/jcm7060140
                6025572
                29880779
                5ef9086b-ddde-4c43-958a-c63593bab118
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 16 May 2018
                : 05 June 2018
                Categories
                Article

                physical activity,quality of life,social cognitive theory,wearable technology

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