Literature DB >> 29714027

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

Yuji Kanejima1,2, Masahiro Kitamura3,4,2, Kazuhiro P Izawa5,6.   

Abstract

BACKGROUND AND AIMS: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSION: 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.

Entities:  

Keywords:  Cardiovascular disease; Meta-analysis; Physical activity; Self-monitoring; Steps; Systematic review

Mesh:

Year:  2018        PMID: 29714027     DOI: 10.1007/s40520-018-0960-7

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  14 in total

1.  Health behaviour change in cardiovascular disease prevention and management: meta-review of behaviour change techniques to affect self-regulation.

Authors:  Jerry Suls; Jazmin N Mogavero; Louise Falzon; Linda S Pescatello; Emily A Hennessy; Karina W Davidson
Journal:  Health Psychol Rev       Date:  2019-11-29

Review 2.  Behaviour change techniques in cardiovascular disease smartphone apps to improve physical activity and sedentary behaviour: Systematic review and meta-regression.

Authors:  Kacie Patterson; Rachel Davey; Richard Keegan; Brea Kunstler; Andrew Woodward; Nicole Freene
Journal:  Int J Behav Nutr Phys Act       Date:  2022-07-07       Impact factor: 8.915

3.  Home-based cardiac rehabilitation using information and communication technology for heart failure patients with frailty.

Authors:  Yuta Nagatomi; Tomomi Ide; Tae Higuchi; Tomoyuki Nezu; Takeo Fujino; Takeshi Tohyama; Takuya Nagata; Taiki Higo; Toru Hashimoto; Shouji Matsushima; Keisuke Shinohara; Tomiko Yokoyama; Aika Eguchi; Ayumi Ogusu; Masataka Ikeda; Yusuke Ishikawa; Fumika Yamashita; Shintaro Kinugawa; Hiroyuki Tsutsui
Journal:  ESC Heart Fail       Date:  2022-05-09

4.  Recommendations for older adults' physical activity and sedentary behaviour during hospitalisation for an acute medical illness: an international Delphi study.

Authors:  Claire E Baldwin; Anna C Phillips; Sarah M Edney; Lucy K Lewis
Journal:  Int J Behav Nutr Phys Act       Date:  2020-05-25       Impact factor: 6.457

5.  To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App.

Authors:  Haitham Maaieh; Niranjan Bidargaddi; Daniel Almirall; Susan Murphy; Inbal Nahum-Shani; Michael Kovalcik; Timothy Pituch; Victor Strecher
Journal:  JMIR Mhealth Uhealth       Date:  2018-11-29       Impact factor: 4.773

6.  Step and Distance Measurement From a Low-Cost Consumer-Based Hip and Wrist Activity Monitor: Protocol for a Validity and Reliability Assessment.

Authors:  Thomas Carlin; Nicolas Vuillerme
Journal:  JMIR Res Protoc       Date:  2021-01-13

7.  Technology-Enhanced Health Promotion for College Students: A Seed Development Project.

Authors:  Carol A Fackler; Nancy Baugh; Ann A Lovegren; Carol Nemeroff; Janet Whatley Blum
Journal:  Nurs Rep       Date:  2021-03-01

8.  Effectiveness, Moderators and Mediators of Self-regulation Intervention on Older Adults' Exercise Behavior: a Randomized, Controlled Crossover Trial.

Authors:  Kazuhiro Harada
Journal:  Int J Behav Med       Date:  2022-01-07

9.  Gender-Specific Impact of Self-Monitoring and Social Norm Information on Walking Behavior Among Chinese College Students Assessed Using WeChat: Longitudinal Tracking Study.

Authors:  Yuepei Xu; Ling-Zi Yue; Wei Wang; Xiao-Ju Wu; Zhu-Yuan Liang
Journal:  J Med Internet Res       Date:  2021-12-07       Impact factor: 5.428

10.  Clinical value of assessing motor performance in postacute stroke patients.

Authors:  D Flury; F Massé; A Paraschiv-Ionescu; K Aminian; A R Luft; R Gonzenbach
Journal:  J Neuroeng Rehabil       Date:  2021-06-24       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.