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      Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis

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          Abstract

          Purpose of Review

          The COVID-19 pandemic changed people’s lifestyles and such changed lifestyles included the potential of increasing addictive behaviors. The present systematic review and meta-analysis aimed to estimate the prevalence of different behavioral addictions (i.e., internet addiction, smartphone addiction, gaming addiction, social media addiction, food addiction, exercise addiction, gambling addiction, and shopping addiction) both overall and separately.

          Recent Findings

          Four databases ( PubMed, Scopus, ISI Web of Knowledge, and ProQuest) were searched. Peer-reviewed papers published in English between December 2019 and July 2022 were reviewed and analyzed. Search terms were selected using PECO-S criteria: population (no limitation in participants’ characteristics), exposure (COVID-19 pandemic), comparison (healthy populations), outcome (frequency or prevalence of behavioral addiction), and study design (observational study). A total of 94 studies with 237,657 participants from 40 different countries (mean age 25.02 years; 57.41% females). The overall prevalence of behavioral addiction irrespective of addiction type (after correcting for publication bias) was 11.1% (95% CI: 5.4 to 16.8%). The prevalence rates for each separate behavioral addiction (after correcting for publication bias) were 10.6% for internet addiction, 30.7% for smartphone addiction, 5.3% for gaming addiction, 15.1% for social media addiction, 21% for food addiction, 9.4% for sex addiction, 7% for exercise addiction, 7.2% for gambling addiction, and 7.2% for shopping addiction. In the lockdown periods, prevalence of food addiction, gaming addiction, and social media addiction was higher compared to non-lockdown periods. Smartphone and social media addiction was associated with methodological quality of studies (i.e., the higher the risk of boas, the higher the prevalence rate). Other associated factors of social media addiction were the percentage of female participants, mean age of participants, percentage of individuals using the internet in country, and developing status of country. The percentage of individuals in the population using the internet was associated with all the prevalence of behavioral addiction overall and the prevalence of sex addiction and gambling addiction. Gaming addiction prevalence was associated with data collection method (online vs. other methods) that is gaming addiction prevalence was much lower using online methods to collect the data.

          Summary

          Behavioral addictions appeared to be potential health issues during the COVID-19 pandemic. Healthcare providers and government authorities should foster some campaigns that assist people in coping with stress during COVID-19 pandemics to prevent them from developing behavioral addictions during COVID-19 and subsequent pandemics.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s40429-022-00435-6.

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          Most cited references124

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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            Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

            We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome. These are simple rank-based data augmentation techniques, which formalize the use of funnel plots. We show that they provide effective and relatively powerful tests for evaluating the existence of such publication bias. After adjusting for missing studies, we find that the point estimate of the overall effect size is approximately correct and coverage of the effect size confidence intervals is substantially improved, in many cases recovering the nominal confidence levels entirely. We illustrate the trim and fill method on existing meta-analyses of studies in clinical trials and psychometrics.
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              Assessing heterogeneity in meta-analysis: Q statistic or I2 index?

              In meta-analysis, the usual way of assessing whether a set of single studies is homogeneous is by means of the Q test. However, the Q test only informs meta-analysts about the presence versus the absence of heterogeneity, but it does not report on the extent of such heterogeneity. Recently, the I(2) index has been proposed to quantify the degree of heterogeneity in a meta-analysis. In this article, the performances of the Q test and the confidence interval around the I(2) index are compared by means of a Monte Carlo simulation. The results show the utility of the I(2) index as a complement to the Q test, although it has the same problems of power with a small number of studies.
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                Author and article information

                Contributors
                cylin36933@gmail.com
                amir.pakpour@ju.se
                Journal
                Curr Addict Rep
                Curr Addict Rep
                Current Addiction Reports
                Springer International Publishing (Cham )
                2196-2952
                12 September 2022
                12 September 2022
                : 1-32
                Affiliations
                [1 ]GRID grid.412606.7, ISNI 0000 0004 0405 433X, Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, , Qazvin University of Medical Sciences, ; Qazvin, Iran
                [2 ]GRID grid.64523.36, ISNI 0000 0004 0532 3255, Institute of Allied Health Sciences, National Cheng Kung University Hospital, College of Medicine, , National Cheng Kung University, ; Tainan, Taiwan
                [3 ]GRID grid.12361.37, ISNI 0000 0001 0727 0669, International Gaming Research Unit, Psychology Department, , Nottingham Trent University, ; Nottingham, UK
                [4 ]GRID grid.118888.0, ISNI 0000 0004 0414 7587, Department of Nursing, School of Health and Welfare, , Jönköping University, ; Jönköping, Sweden
                Author information
                http://orcid.org/0000-0002-8798-5345
                Article
                435
                10.1007/s40429-022-00435-6
                9465150
                36118286
                c05d6f75-6946-44cc-8201-86c7918e74c5
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 August 2022
                Funding
                Funded by: Jönköping University
                Categories
                Emotion and Addiction (K Morie, Section Editor)

                addictive behavior,covid-19,exercise addiction,food addiction,internet addiction,gambling addiction,gaming addiction,shopping addiction,smartphone addiction,social media addiction

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