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Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis.
Mclaughlin, M, Delaney, T, Hall, A, Byaruhanga, J, Mackie, P, Grady, A, Reilly, K, Campbell, E, Sutherland, R, Wiggers, J, et al
Journal of medical Internet research. 2021;(2):e23180
Abstract
BACKGROUND The effectiveness of digital health interventions is commonly assumed to be related to the level of user engagement with the digital health intervention, including measures of both digital health intervention use and users' subjective experience. However, little is known about the relationships between the measures of digital health intervention engagement and physical activity or sedentary behavior. OBJECTIVE This study aims to describe the direction and strength of the association between engagement with digital health interventions and physical activity or sedentary behavior in adults and explore whether the direction of association of digital health intervention engagement with physical activity or sedentary behavior varies with the type of engagement with the digital health intervention (ie, subjective experience, activities completed, time, and logins). METHODS Four databases were searched from inception to December 2019. Grey literature and reference lists of key systematic reviews and journals were also searched. Studies were eligible for inclusion if they examined a quantitative association between a measure of engagement with a digital health intervention targeting physical activity and a measure of physical activity or sedentary behavior in adults (aged ≥18 years). Studies that purposely sampled or recruited individuals on the basis of pre-existing health-related conditions were excluded. In addition, studies were excluded if the individual engaging with the digital health intervention was not the target of the physical activity intervention, the study had a non-digital health intervention component, or the digital health interventions targeted multiple health behaviors. A random effects meta-analysis and direction of association vote counting (for studies not included in meta-analysis) were used to address objective 1. Objective 2 used vote counting on the direction of the association. RESULTS Overall, 10,653 unique citations were identified and 375 full texts were reviewed. Of these, 19 studies (26 associations) were included in the review, with no studies reporting a measure of sedentary behavior. A meta-analysis of 11 studies indicated a small statistically significant positive association between digital health engagement (based on all usage measures) and physical activity (0.08, 95% CI 0.01-0.14, SD 0.11). Heterogeneity was high, with 77% of the variation in the point estimates explained by the between-study heterogeneity. Vote counting indicated that the relationship between physical activity and digital health intervention engagement was consistently positive for three measures: subjective experience measures (2 of 3 associations), activities completed (5 of 8 associations), and logins (6 of 10 associations). However, the direction of associations between physical activity and time-based measures of usage (time spent using the intervention) were mixed (2 of 5 associations supported the hypothesis, 2 were inconclusive, and 1 rejected the hypothesis). CONCLUSIONS The findings indicate a weak but consistent positive association between engagement with a physical activity digital health intervention and physical activity outcomes. No studies have targeted sedentary behavior outcomes. The findings were consistent across most constructs of engagement; however, the associations were weak.
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Impact of the Method of Delivering Electronic Health Behavior Change Interventions in Survivors of Cancer on Engagement, Health Behaviors, and Health Outcomes: Systematic Review and Meta-Analysis.
Furness, K, Sarkies, MN, Huggins, CE, Croagh, D, Haines, TP
Journal of medical Internet research. 2020;(6):e16112
Abstract
BACKGROUND Increased accessibility to the internet and mobile devices has seen a rapid expansion in electronic health (eHealth) behavior change interventions delivered to patients with cancer and survivors using synchronous, asynchronous, and combined delivery methods. Characterizing effective delivery methods of eHealth interventions is required to enable improved design and implementation of evidence-based health behavior change interventions. OBJECTIVE This study aims to systematically review the literature and synthesize evidence on the success of eHealth behavior change interventions in patients with cancer and survivors delivered by synchronous, asynchronous, or combined methods compared with a control group. Engagement with the intervention, behavior change, and health outcomes, including quality of life, fatigue, depression, and anxiety, were examined. METHODS A search of Scopus, Ovid MEDLINE, Excerpta Medica dataBASE, Cumulative Index to Nursing and Allied Health Literature Plus, PsycINFO, Cochrane CENTRAL, and PubMed was conducted for studies published between March 2007 and March 2019. We looked for randomized controlled trials (RCTs) examining interventions delivered to adult cancer survivors via eHealth methods with a measure of health behavior change. Random-effects meta-analysis was performed to examine whether the method of eHealth delivery impacted the level of engagement, behavior change, and health outcomes. RESULTS A total of 24 RCTs were included predominantly examining dietary and physical activity behavior change interventions. There were 11 studies that used a synchronous approach and 11 studies that used an asynchronous approach, whereas 2 studies used a combined delivery method. Use of eHealth interventions improved exercise behavior (standardized mean difference [SMD] 0.34, 95% CI 0.21-0.48), diet behavior (SMD 0.44, 95% CI 0.18-0.70), fatigue (SMD 0.21, 95% CI -0.08 to 0.50; SMD change 0.22, 95% CI 0.09-0.35), anxiety (SMD 1.21, 95% CI: 0.36-2.07; SMD change 0.15, 95% CI -0.09 to 0.40), depression (SMD 0.15, 95% CI 0.00-0.30), and quality of life (SMD 0.12, 95% CI -0.10 to 0.34; SMD change 0.14, 95% CI 0.04-0.24). The mode of delivery did not influence the amount of dietary and physical activity behavior change observed. CONCLUSIONS Physical activity and dietary behavior change eHealth interventions delivered to patients with cancer or survivors have a small to moderate impact on behavior change and a small to very small benefit to quality of life, fatigue, depression, and anxiety. There is insufficient evidence to determine whether asynchronous or synchronous delivery modes yield superior results. Three-arm RCTs comparing delivery modes with a control with robust engagement reporting are required to determine the most successful delivery method for promoting behavior change and ultimately favorable health outcomes.
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Implicit process interventions in eating behaviour: a meta-analysis examining mediators and moderators.
Aulbach, MB, Knittle, K, Haukkala, A
Health psychology review. 2019;(2):179-208
Abstract
Dual-process models integrate deliberative and impulsive mental systems and predict dietary behaviours better than deliberative processes alone. Computerised tasks such as the Go/No-Go, Stop-Signal, Approach-Avoidance, and Evaluative Conditioning have been used as interventions to directly alter implicit biases. This meta-analysis examines the effects of these tasks on dietary behaviours, explores potential moderators of effectiveness, and examines implicit bias change as a proposed mechanism. Thirty randomised controlled trials testing implicit bias interventions (47 comparisons) were included in a random-effects meta-analysis, which indicated small cumulative effects on eating-related behavioural outcomes (g = -0.17, CI95 = [-0.29; -0.05], p = .01) and implicit biases (g = -0.18, CI95 = [-0.34; -0.02], p = .02). Task type moderated these effects, with Go/No-Go tasks producing larger effects than other tasks. Effects of interventions on implicit biases were positively related to effects on eating behaviour (B = 0.42, CI95 = [0.02; 0.81], p = .03). Go/No-Go tasks seem to have most potential for altering dietary behaviours through implicit processes. While changes in implicit biases seem related to the effects of these interventions on dietary outcomes, more research should explore whether repeated exposure to implicit bias interventions may have any practical intervention value in real world settings.
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Adherence to multiple health behaviours in cancer survivors: a systematic review and meta-analysis.
Tollosa, DN, Tavener, M, Hure, A, James, EL
Journal of cancer survivorship : research and practice. 2019;(3):327-343
Abstract
PURPOSE Multiple health behaviours (not smoking, minimal alcohol consumption, and maintaining a healthy weight by having a healthy diet and regular physical activity) improve quality of life and longevity of cancer survivors. Despite international guidelines, there are no existing reviews that synthesise cancer survivors' adherence to healthy lifestyle recommendations. METHOD Five databases (Embase, MEDLINE, PsycINFO, Web of Science, and Google Scholar) were searched for relevant articles published from 2007 until January 2018. Studies reporting adult cancer survivors' adherence to at least two lifestyle behaviours (body mass index, physical activity, smoking, fruit and vegetable intake, fiber intake, red meat intake, caloric intake, sodium intake, and alcohol consumption) based on the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) recommendations were included in the review. The pooled prevalence of adherence to single and multiple behaviours was calculated using a random-effects model. Subgroup analysis (mean years of survival and publication year) was undertaken. RESULTS A total of 3322 articles were identified. Of these, 51 studies matched the inclusion criteria, presenting data from 2,620,586 adult cancer survivors. Adherence to single behaviours, which was estimated from studies that assessed at least two health behaviours, was highest for not smoking (PE 87%; 95% CI, 85%, 88%) and low or no alcohol intake (PE 83%; 95% CI, 81%, 86%), and lowest for fiber intake (PE 31%; 95% CI, 21%, 40%). Adherence to multiple healthy behaviours (13 studies), ranged from 7 to 40% (pooled estimate (PE) 23%; 95% CI, 17%, 30%). Recent survivors (< 5-year survival time) had relatively better adherence to multiple behaviours (PE 31%; 95% CI, 27%, 35%) than long-term (> 5 years) survivors (PE 25%; 95% CI, 14%, 36%). Adherence to multiple behaviours improved over time since 2007. CONCLUSION Adherence to physical activity, dietary, and multiple lifestyle behaviours recommendations was low amongst cancer survivors. Recent cancer survivors were relatively more adherent to WCRF/AICR recommendations compared to long-term survivors. IMPLICATIONS FOR CANCER SURVIVORS Health promotion programs help support healthy lifestyle behaviours of cancer survivors. PROSPERO registration number: CRD42018091663.
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Association between posttraumatic stress disorder and lack of exercise, poor diet, obesity, and co-occuring smoking: A systematic review and meta-analysis.
van den Berk-Clark, C, Secrest, S, Walls, J, Hallberg, E, Lustman, PJ, Schneider, FD, Scherrer, JF
Health psychology : official journal of the Division of Health Psychology, American Psychological Association. 2018;(5):407-416
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Abstract
OBJECTIVES Research has shown that posttraumatic stress disorder (PTSD) increases the risk of development of cardiometabolic disease (CMD) including cardiovascular disease and diabetes. Whether PTSD is also associated with behavioral risk factors (e.g., diet, exercise, smoking and obesity) for CMD, is less clear. METHODS PubMed, Web of Science, and Scopus databases were searched to obtain papers published between 1980-2016. Studies were reviewed for quality using the Quality of Cohort screen. Significance values, odds ratios (OR), 95% confidence intervals (CI), and tests of homogeneity of variance were calculated. PRINCIPAL FINDINGS A total of 1,349 studies were identified from our search and 29 studies met all eligibility criteria. Individuals with PTSD were 5% less likely to have healthy diets (pooled adjusted OR = 0.95; 95% CI: 0.92, 0.98), 9% less likely to engage in physical activity (pooled adjusted OR = 0.91; 95% CI: 0.88, 0.93), 31% more likely to be obese (pooled adjusted OR = 1.31; 95% CI:1.25, 1.38), and about 22% more likely to be current smokers (pooled adjusted OR = 1.22; 95% CI: 1.19, 1.26), than individuals without PTSD. CONCLUSIONS Evidence shows PTSD is associated with reduced healthy eating and physical activity, and increased obesity and smoking. The well-established association between PTSD and metabolic and cardiovascular disease may be partly due to poor diet, sedentary lifestyle, high prevalence of obesity, and co-occurring smoking in this population. The well-established association of PTSD with CMD is likely due in part to poor health behaviors in this patient population. (PsycINFO Database Record