Exercise as an Alternative Approach for Treating Smartphone Addiction: A Systematic Review and Meta-Analysis of Random Controlled Trials
Shijie Liu,
Tao Xiao,
Lin Yang and
Paul D. Loprinzi
Additional contact information
Shijie Liu: School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai 200438, China
Tao Xiao: College of Mathematics and Statistics, Shenzhen University, Shenzhen 518060, China
Lin Yang: Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB T2S 3G3, Canada
Paul D. Loprinzi: Exercise & Memory Laboratory, Department of Health, Exercise Science and Recreation Management, The University of Mississippi, Oxford, MS 38677, USA
IJERPH, 2019, vol. 16, issue 20, 1-16
Abstract:
Background: With the emergence of electronic products, smartphones have become an indispensable tool in our daily life. On the other hand, smartphone addiction has become a public health issue. To help reduce smartphone addiction, cost-effective interventions such as exercise are encouraged. Purpose: We therefore performed a systematic review and meta-analysis evaluating existing literature on the rehabilitative effects of exercise interventions for individuals with a smartphone addiction. Methods: We searched PubMed, Web of Science, Scopus, CNKI, and Wanfang from inception to September 2019. Nine eligible randomized controlled trials (RCT) were finally included for meta-analysis (SMD represents the magnitude of effect of exercise) and their methodological quality were assessed using the PEDro scale. Results: We found significant positive effects of exercise interventions (Taichi, basketball, badminton, dance, run, and bicycle) on reducing the total score (SMD = −1.30, 95% CI −1.53 to −1.07, p < 0.005, I 2 = 62%) of smartphone addiction level and its four subscales (withdrawal symptom: SMD = −1.40, 95% CI −1.73 to −1.07, p < 0.001, I 2 = 81%; highlight behavior: SMD = −1.95, 95% CI −2.99 to −1.66, p < 0.001, I 2 = 79%; social comfort: SMD = −0.99, 95% CI −1.18 to −0.81, p = 0.27, I 2 = 21%; mood change: SMD = −0.50, 95% CI 0.31 to 0.69, p = 0.25, I 2 = 25%). Furthermore, we found that individuals with severe addiction level (SMD = −1.19, I 2 = 0%, 95%CI:−1.19 to −0.98) benefited more from exercise engagement, as compared to those with mild to moderate addiction levels (SMD = − 0.98, I 2 = 50%, 95%CI:−1.31 to −0.66); individuals with smartphone addiction who participated in exercise programs of 12 weeks and above showed significantly greater reduction on the total score (SMD = −1.70, I 2 = 31.2%, 95% CI −2.04 to −1.36, p = 0.03), as compared to those who participated in less than 12 weeks of exercise intervention (SMD = −1.18, I 2 = 0%, 95% CI−1.35 to −1.02, p < 0.00001). In addition, individuals with smartphone addiction who participated in exercise of closed motor skills showed significantly greater reduction on the total score (SMD = −1.22, I 2 = 0 %, 95% CI −1.41 to −1.02, p = 0.56), as compared to those who participated in exercise of open motor skills (SMD = −1.17, I 2 = 44%, 95% CI−1.47 to −0.0.87, p = 0.03). Conclusions: Exercise interventions may have positive effects on treating smartphone addiction and longer intervention durations may produce greater intervention effects.
Keywords: exercise; Tai chi; smartphone addiction; internet addiction (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.mdpi.com/1660-4601/16/20/3912/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/20/3912/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:20:p:3912-:d:276612
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().