Self-monitoring to increase physical activity in patients with cardiovascular disease: a systematic review and meta-analysis

2018 ◽  
Vol 31 (2) ◽  
pp. 163-173 ◽  
Author(s):  
Yuji Kanejima ◽  
Masahiro Kitamura ◽  
Kazuhiro P. Izawa
PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258460
Author(s):  
Kacie Patterson ◽  
Rachel Davey ◽  
Richard Keegan ◽  
Nicole Freene

Background Smartphone applications provide new opportunities for secondary prevention healthcare. This systematic review and meta-analysis aimed to determine if smartphone applications are effective at changing physical activity and sedentary behaviour in people with cardiovascular disease. Methods Six electronic databases (Medline, CINAHL Plus, Cochrane Library, SCOPUS, Sports Discus and EMBASE) were searched from 2007 to October 2020. Cardiovascular disease secondary prevention physical activity or sedentary behaviour interventions were included where the primary element was a smartphone or tablet computer application (excluding SMS-only text-messaging). Study quality was assessed using validated tools appropriate for each study design. Random effects model was used and the pooled mean difference between post scores were calculated. Subgroup analyses were conducted to examine differences based on diagnosis, sample size, age, intervention duration, activity tracker use, target behaviour, and self-report versus device-measured outcome. Results Nineteen studies with a total of 1,543 participants were included (coronary heart disease, n = 10; hypertension, n = 4; stroke, n = 3; heart failure, n = 1; peripheral artery disease, n = 1). Risk of bias was rated as high. Thirteen studies were included in the meta-analysis. Only two controlled studies reported on sedentary behaviour. Smartphone applications produced a significant increase of 40.35 minutes of moderate-to-vigorous intensity physical activity per week (7 studies; p = 0.04; 95% CI 1.03 to 79.67) and 2,390 steps per day (3 studies; p = 0.0007; 95% CI 1,006.9 to 3,791.2). Subgroup analyses found no difference when comparing diagnoses, sample size, activity tracker use, target behaviour and self-report versus device-measured outcome. Larger improvements in physical activity were noted in intervention durations of ≤3-months and participants ≥60yrs (95.35 mins.week-1; p = 0.05). Conclusions Smartphone applications were effective in increasing physical activity in people with cardiovascular disease. Caution is warranted for the low-quality evidence, small sample and larger coronary heart disease representation. More rigorous research is needed to investigate the effect of smartphone applications across diagnoses and in sedentary behaviour.


The Lancet ◽  
2021 ◽  
Vol 398 ◽  
pp. S87
Author(s):  
Tomas Vetrovsky ◽  
Charlotte Wahlich ◽  
Agnieszka Borowiec ◽  
Roman Jurik ◽  
Witold Smigielski ◽  
...  

2018 ◽  
Author(s):  
Keegan Phillip Knittle ◽  
Johanna Nurmi ◽  
Rik Crutzen ◽  
Nelli Hankonen ◽  
Marguerite Beattie ◽  
...  

Motivation is a proximal determinant of behavior in many psychological theories, and increasing motivation is central to most behavior change interventions. This systematic review and meta-analysis sought to fill a gap in the literature by identifying features of behavior change interventions associated with favorable changes in three prominent motivational constructs: intention, stage of change and autonomous motivation. A systematic literature search identified 88 intervention studies (N = 18,804) which assessed changes in at least one of these motivational constructs for physical activity (PA). Intervention descriptions were coded for potential moderators, including behavior change techniques (BCTs), modes of delivery and theory use. Random effects comparative subgroup analyses identified 19 BCTs and 12 modes of delivery associated with changes in at least one motivational outcome. Interventions which were delivered face-to-face or in gym settings, or which included the BCTs problem solving, self-monitoring of behavior or behavioral practice/rehearsal, or which included the combination of self-monitoring of behavior with any other BCTs derived from control theory, were all associated with beneficial changes in multiple motivational constructs. Meta-regression analyses indicated that increases in intention and stage of change, but not autonomous motivation, were related to increases in PA. The intervention characteristics identified here as effective in changing motivation seemed to form clusters related to behavioral experience and self-regulation, which have previously been linked to changes in behavior as well. These BCTs and modes of delivery merit further systematic study, and could be used as a foundation for improving interventions targeting increases in motivation for PA.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
N Gonzalez ◽  
M Wilhelm ◽  
A Arango ◽  
V Gonzalez ◽  
C Mesa ◽  
...  

Abstract Background Current guidelines recommend that adults with chronic health conditions should engage in regular physical activity (PA), and avoid inactivity. Yet, the exact role of PA trajectories in the mortality risk of patients with coronary heart disease (CHD) remains unclear. Purpose We aimed to perform a systematic review and meta-analysis on the association of longitudinal trajectories of PA with all-cause and cardiovascular disease (CVD) mortality in patients with CHD. Methods We performed a systematic review and meta-analysis based on PRISMA statement. Six electronic databases were searched for cohort studies that analysed the association of PA trajectories (inactive over time, active over time, increased activity over time, and decreased activity over time) with the risk of all-cause and CVD mortality in patients with CHD. Study quality was evaluated by the Newcastle Ottawa scale. We used the inverse variance weighted method to combine summary measures using random-effects models to minimize the effect of between-study heterogeneity. The study is registered in PROSPERO. Results We meta-analyzed nine longitudinal cohorts involving 33,576 patients (25010 acute CHD, 8566 chronic CHD, mean age 62.5 years, 34% women, median follow-up duration 7.2 years), according to four PA trajectories. All studies assessed PA through validated questionnaires. The definitions of activity and inactivity at baseline and follow-ups were in agreement with current PA guidelines. Trajectories were calculated based on comparison of activity status at baseline and follow-up. All the studies defined increased activity over time as moving from the inactive to the active category, and decreased activity over time as moving from the active to the inactive category. Compared to patients remaining inactive over time, the lowest risk of all-cause and CVD mortality was observed in patients remaining active over time (HR [95% CI]: 0.50 [0.39–0.63] and 0.48 [0.35–0.68], respectively), followed by patients who increased their PA over time (HR [95% CI]:0.55 [0.44–0.7] and 0.63 [0.51–0.78], respectively), and patients who decreased activity over time (HR [95% CI]: 0.80 [0.64–0.99] and 0.91 [0.67–1.24], respectively). These results were consistent both in the acute and chronic CHD settings. The overall risk of bias was low, and no evidence of publication bias was observed. Multiple sensitivity analyses provided consistent results. Conclusions In patients with CHD, the risk of all-cause and CVD mortality is progressively reduced from being inactive over time, to decreased activity over time, to increased activity over time, to being active over time. These findings highlight the benefits of adopting a more physically active lifestyle in patients with chronic and acute CHD, independent of previous PA levels. Future studies should clarify the complex interactions between motivations and disease severity as potential drivers for PA trajectories FUNDunding Acknowledgement Type of funding sources: Public Institution(s). Main funding source(s): University of Bern


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