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

Overview of attention for article published in Aging Clinical and Experimental Research, April 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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9 X users

Citations

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43 Dimensions

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109 Mendeley
Title
Self-monitoring to increase physical activity in patients with cardiovascular disease: a systematic review and meta-analysis
Published in
Aging Clinical and Experimental Research, April 2018
DOI 10.1007/s40520-018-0960-7
Pubmed ID
Authors

Yuji Kanejima, Masahiro Kitamura, Kazuhiro P. Izawa

Abstract

It is important to encourage physical activity in patients with cardiovascular disease (CVD), and self-monitoring is considered to contribute to increased physical activity. However, the effects of self-monitoring on CVD patients remain to be established. In this study, we examined the influence of self-monitoring on physical activity of patients with CVD via a systematic review and meta-analysis. Screening of randomized controlled trials only was undertaken twice on PubMed (date of appraisal: August 29, 2017). The inclusion criteria included outpatients with CVD, interventions for them, daily step counts as physical activity included in the outcome, and self-monitoring included in the intervention. Assessments of the risk of bias and meta-analysis in relation to the mean change of daily step counts were conducted to verify the effects of self-monitoring. From 205 studies retrieved on PubMed, six studies were included, with the oldest study published in 2005. Participants included 693 patients of whom 541 patients completed each study program. Their mean age was 60.8 years, and the ratio of men was 79.6%. From these 6 studies, a meta-analysis was conducted with 269 patients of 4 studies including only RCTs with step counts in the intervention group and the control group, and self-monitoring significantly increased physical activity (95% confidence interval, 1916-3090 steps per day, p < 0.05). The average intervention period was about 5 months. Moreover, four studies involved intervention via the internet, and five studies confirmed the use of self-monitoring combined with other behavior change techniques. The results suggest that self-monitoring of physical activity by patients with CVD has a significantly positive effect on their improvement. Moreover, the trend toward self-monitoring combined with setting counseling and activity goals, and increased intervention via the internet, may lead to the future development and spread of self-monitoring for CVD patients.

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The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 12%
Student > Bachelor 13 12%
Researcher 10 9%
Student > Ph. D. Student 9 8%
Student > Postgraduate 7 6%
Other 18 17%
Unknown 39 36%
Readers by discipline Count As %
Nursing and Health Professions 16 15%
Medicine and Dentistry 15 14%
Sports and Recreations 9 8%
Psychology 8 7%
Business, Management and Accounting 4 4%
Other 14 13%
Unknown 43 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 October 2020.
All research outputs
#7,782,070
of 25,382,440 outputs
Outputs from Aging Clinical and Experimental Research
#656
of 1,867 outputs
Outputs of similar age
#124,257
of 338,552 outputs
Outputs of similar age from Aging Clinical and Experimental Research
#11
of 25 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,867 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 338,552 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.