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Purpose: To evaluate the impact of Desire2Move (D2M) implementation fidelity by Wellness Champions on program effectiveness. Design: Cross-sectional. Setting: Years 1, 3, and 5 of D2M; an annual peer support health and well-being initiative for university employees. Participants: D2M participants included 422 employees from 28 teams; however, only 144 provided survey data (34.1% response rate). Intervention: During the 8-week program, departments competed as teams to accumulate the greatest average physical activity (PA) minutes. Each team selected a Wellness Champion who delivered program information. Each team member recorded PA minutes with MapMyFitnes s. Measures: An electronic survey assessed program implementation fidelity and program satisfaction. Analysis: Median split (median [Mdn] = 21.2) categorized teams into “high” (n = 14; Mdn = 24.0, range = 21.4-25.0) and “low” (n = 14; Mdn = 19.4, range = 14.3-21.0) implementation groups. Independent samples t tests evaluated differences between groups on program satisfaction and team program average PA minutes. Results: Groups were significantly different for program satisfaction, t(26) = −2.76, P = .011, and team program average PA minutes, t(26) = −2.40, P = .024. The “high” implementation group reported greater program satisfaction (mean [M] = 12.6, standard deviation [SD] = 1.8) and team program average PA minutes (M = 2104.4, SD = 807.4) than the “low” implementation group (program satisfaction M = 11.1, SD = 1.1; team program average minutes M = 1340.8, SD = 875.8). Conclusion: Wellness Champions positively impacted employee PA participation and program satisfaction.

Patients with RBBB+LAFB on ECG and clinical HF demonstrate echocardiographic wall motion abnormalities between inferior and anterior LV walls, similar to abnormalities found between septal and lateral LV walls in patients with LBBB and HF. Fewer patients with RBBB+LAFB showed a classical pattern of opposing wall motion compared to LBBB. Factors that might alter strain patterns in RBBB+LAFB, including the detailed presence or absence of LV scar and coexisting block of the central fascicle, should be assessed in future studies.

The purpose of this systematic review was to critically examine the effectiveness of tailored mHealth interventions for promoting physical activity (PA) in adult populations. Cochrane Library Central Register of Controlled Trials, Medline, SportDiscus, PubMed, PsycINFO, and ProQuest databases were searched systematically in June 2019. Studies were eligible if they were experimentally designed studies, included adult populations (18+ years), and consisted of a tailored intervention that was delivered via a mobile device (i.e., cell phone, tablet). The primary outcome was change in PA. Risk of bias was assessed using the Cochrane Risk of Bias 2 tool. Sixteen articles were reviewed. Ten studies reported significant positive outcomes for the intervention groups compared to the controls. Three studies reported significant improvements in PA for the tailored intervention arms compared to the non-tailored treatment arms. Four of six studies that reported no between group differences used SMS to deliver tailored materials. Differences on tailoring dimension, PA outcomes, and measurement tools were not identified between studies. Tailored mHealth interventions appear to be promising for promoting PA among adults. Most interventions used multiple intervention components. Additional research is needed to identify best practices and to make programs scalable.

Objective To evaluate the effects of walking, independent of diet and weight-loss, on lipids and lipoproteins in women with overweight and obesity. Data Source Academic Search Complete, Alternative Health Watch, Global Health, Health Source, CINAHL, MEDLINE, EMBASE, SportDiscus, and ProQuest. Study Inclusion and Exclusion Criteria (1) experiment-control design; (2) women with overweight or obesity; (3) walking as the experiment’s independent variable; (4) four or more weeks; and (5) pre- to post-assessment of lipids and/or lipoproteins. Excluded studies reported use of lipid-lowering medication, diet or other modes of physical activity, and alternative interventions as the control. Data Extraction Data extraction and study quality were completed by the first 2 authors using the Cochrane review protocol and risk of bias assessment. Data Synthesis Raw mean difference between the experiment and control groups using a random effects model. Results Meta-analyses of 21 interventions (N = 1129) demonstrated exclusive walking improves total cholesterol (raw mean difference = 6.67 mg/dL, P = .04) and low-density lipoproteins (raw mean difference = 7.38 mg/dL, P = .04). Greater improvement in total cholesterol, triglycerides, high-density lipoproteins, and low-density lipoproteins existed in women with obesity. Conclusions Exclusive walking aids in normalizing total cholesterol and LDLs in women with overweight and obesity. Exclusive walking can be used as a non-pharmacologic therapy, which may have positive clinical outcomes for individuals who especially struggle with diet and weight-reduction.

BackgroundAn assessment of how users rate physical activity apps of varying behavior change technique content is necessary to understand if users recognize differences in an app’s ability to promote physical activity.ObjectiveThe purpose of this study was to compare user ratings of an app with a lower behavior change technique count to an app with a higher behavior change technique count.MethodParticipants were randomly assigned to interact with either the high behavior change technique app or the low behavior change technique app using an iPad. Participants then completed a Mobile App Rating questionnaire.ResultsThe final sample included 83 participants with an average age of 22.66 years (SD = 2.13; range = 20–29). Independent t-tests revealed significant group differences for perceived impact, t(81) = 5.27, p < .001, g = 1.15, 95% confidence interval (0.69, 1.62); engagement, t(81) = 6.71, p < .001, g = 1.15, 95% confidence interval (1.02, 1.87); aesthetics, t(81) = 4.29, p < .001, g = 1.15, 95% confidence interval (0.50, 1.38); and subjective quality, t(81) = 6.46, p < .001, g = 1.15, 95% confidence interval (0.75, 1.42), with participants from the high behavior change technique group scoring these qualities more positively than participants from the low behavior change technique group.ConclusionApp users rated a physical activity app with higher behavior change technique content more favorably on aesthetics, engagement, subjective quality, and perceived impact than those with reduced behavior change technique content. Additional research is needed to understand how these perceptions influence users during the app selection process, as well as the efficacy of apps for promoting physical activity behavior change.

We assessed the impact of tailored versus targeted messages on program non-compliance during Desire2Move (D2M), an 8-week eHealth program that promotes physical activity (PA). Participants recorded minutes of PA using MapMyFitness, which counted toward their departments’ PA total. Departments were randomized into the targeted messaging (TM) or tailored messaging (TM+) group based on participant-reported goals. Participants who did not provide a goal were assigned to the control group (CG). Eligible participants were employees from invited departments who were non-compliant for at least 1 week of D2M. Upon initial non-compliance, participants across groups received a targeted email message prompting program resumption. For subsequent non-compliance, the TM group continued to receive the same targeted message. The TM+ group received a message tailored to the participant’s program goal. The CG group did not receive additional messages. Participants (n = 149) were mostly female (68.5%), staff (44.3%), with an average age of 43.7 (SD = 11.1). Analyses revealed significant group differences in non-compliance between TM+ (M = 2.6, SD = 1.9) and TM (M = 4.0, SD = 2.1), F(16,88) = 3.4, p &lt; .01; d = .64, and between TM+ (M = 2.6, SD = 1.9) and CG (M = 3.8, SD = 2.1), F(1,74) = 13.3, p &lt; .01; d = .56. There was no significant group difference between TM and CG, F(1,80) = 0.1, p = .75; d = .02. Tailored messages improved individual program compliance. More research is needed to assess the relationship between program compliance and PA behavior change.

The purpose of this review was to systematically review the published research on the effect of physical activity (PA) interventions on PA behavior among university students. A PA intervention was defined as participants engaging in PA and measuring changes in PA from pre- to post-intervention. Studies were eligible for inclusion if they were (1) published in peer-reviewed English-language journals, (2) included undergraduate university students, (3) implemented a PA intervention, and 4) assessed PA via self-report or direct measures. Fourteen studies met the inclusion criteria and were analyzed in this review. PA interventions were more effective than other techniques or control settings in improving PA behavior in university student participants. The review discusses sample characteristics, study design, PA behavior measurement, PA intervention implementation, and the theoretical frameworks of the studies, along with limitations of the research and suggestions for future researchers.