scholarly journals Nutrition, Physical Activity Management Approaches Delivered by Nurse Practitioner-led Care Effect on the Outcomes of Care for Adult Subjects with Cardiovascular Disease: A Meta-analysis

2021 ◽  
Vol 9 (11) ◽  
pp. 597-603
Author(s):  
Dayan Li ◽  
Yue Liu ◽  
Miguo Ma ◽  
Fuli Li ◽  
Miaodan Pan ◽  
...  
Diabetes Care ◽  
2013 ◽  
Vol 36 (2) ◽  
pp. 471-479 ◽  
Author(s):  
S. Kodama ◽  
S. Tanaka ◽  
Y. Heianza ◽  
K. Fujihara ◽  
C. Horikawa ◽  
...  

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.


2018 ◽  
Vol 53 (14) ◽  
pp. 886-894 ◽  
Author(s):  
Ulf Ekelund ◽  
Wendy J Brown ◽  
Jostein Steene-Johannessen ◽  
Morten Wang Fagerland ◽  
Neville Owen ◽  
...  

ObjectiveTo examine whether the associations between sedentary behaviours (ie, daily sitting/TV-viewing time) and mortality from cardiovascular disease (CVD) and cancer differ by different levels of physical activity (PA).DesignHarmonised meta-analysis of prospective cohort studies. Data on exposure variables were harmonised according to a predefined protocol and categorised into four groups for sedentary behaviours and into quartiles of PA (MET-hour/week).Data sourcesPubMed, PsycINFO, Embase, Web of Science, Sport Discus and Scopus.Eligibility criteria for selecting studiesIndividual level data on both sedentary behaviours and PA and reported effect estimates for CVD or cancer mortality.ResultsNine studies (n=850 060; deaths=25 730) and eight studies (n=777 696; deaths=30 851) provided data on sitting time and CVD and cancer mortality, respectively. Five studies had data on TV-viewing time and CVD (n=458 127; deaths=13 230) and cancer (n=458 091; deaths=16 430) mortality. A dose–response association between sitting time (9%–32% higher risk; p for trend <0.001) and TV time (3%–59% higher risk; p for trend <0.001) with CVD mortality was observed in the ‘inactive’, lowest quartile of PA. Associations were less consistent in the second and third quartiles of PA, and there was no increased risk for CVD mortality with increasing sedentary behaviours in the most active quartile. Associations between sedentary behaviours and cancer mortality were generally weaker; 6%–21% higher risk with longer sitting time observed only in the lowest quartile of PA.ConclusionPA modifies the associations between sedentary behaviours and CVD and cancer mortality. These findings emphasise the importance of higher volumes of moderate and vigorous activity to reduce, or even eliminate these risks, especially for those who sit a lot in their daily lives.


2018 ◽  
Vol 25 (17) ◽  
pp. 1864-1872 ◽  
Author(s):  
Wenke Cheng ◽  
Zhen Zhang ◽  
Wensi Cheng ◽  
Chong Yang ◽  
Linlin Diao ◽  
...  

Background Many cohort studies within the past few decades have shown the protective effect of leisure-time physical activity on cardiovascular mortality. To summarise the evidence from prospective cohort studies on the relationship between the amount of leisure-time physical activity and the risk of cardiovascular mortality, a dose–response meta-analysis was conducted in this study. Methods and results Electronic databases, including PubMed and Embase databases, Scopus and Cochrane Library, were systemically retrieved by two investigators from inception to 14 June 2018 for related studies. The maximum adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted, and a dose–response analysis was conducted using the restricted cubic splines. Finally, a total of 44 studies comprising 1,584,181 participants was enrolled into this meta-analysis. The HRs of cardiovascular mortality for moderate and high leisure-time physical activity were 0.77 (95% CI 0.74–0.81) and 0.73 (95% CI 0.69–0.77), respectively. Among these 44 studies, 19 were eligible for the dose–response meta-analysis, which suggested a linear negative correlation of leisure-time physical activity with cardiovascular mortality, regardless of age, gender and the presence of underlying cardiovascular disease or not. Conclusions Leisure-time physical activity shows a linear negative correlation with the risk of cardiovascular mortality regardless of age, gender and the presence of cardiovascular disease or not. However, the cardiovascular benefits of leisure-time physical activity is decreased for those aged over 65 years or those with a history of cardiovascular disease. Moreover, leisure-time physical activity displays more cardiovascular benefits to people followed up for over 10 years than to those followed up for less than 10 years. Besides, high-intensity leisure-time physical activity has more obvious cardiovascular benefits than those of moderate-intensity leisure-time physical activity.


2019 ◽  
Vol 76 (1) ◽  
pp. 81-95 ◽  
Author(s):  
Marcie J. Smigorowsky ◽  
Meghan Sebastianski ◽  
Michael Sean McMurtry ◽  
Ross T. Tsuyuki ◽  
Colleen M. Norris

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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