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Lu X, An X, Chen S. Trends and Influencing Factors in Problematic Smartphone Use Prevalence (2012-2022): A Systematic Review and Meta-Analysis. CYBERPSYCHOLOGY, BEHAVIOR AND SOCIAL NETWORKING 2024; 27:616-634. [PMID: 38979617 DOI: 10.1089/cyber.2023.0548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Given that problematic smartphone use (PSU) has been researched for a long time, it becomes necessary to assess how the trends of PSU prevalence have evolved over time. In total, 106 articles from 2012 to 2022 with 109 studies covering 97,748 individuals were included in this systematic review and meta-analysis. The estimation of the global pooled PSU prevalence was 37.1% (95% confidence interval, 33.5 - 40.8%) and the PSU prevalence is growing over time in total. Although the PSU prevalence exhibited wide variation between regions and measurement scales, the increasing trend remained. In addition, the regression slope of the PSU prevalence trend in males was higher than that in females. Males initially had a lower prevalence of PSU than females, but this steadily changed over time until it was greater in males than in females. Moreover, the prevalence of PSU showed an increasing trend across all age groups, with a faster growth rate in the older age group. Considering the aforementioned results, it's necessary to implement proper interventions to do with this phenomenon. In addition, considering the differences in prevalence brought by regions, and measurement scales, in practice and research, we should not only take into account the disparities of PSU between countries or cultures, but also to concern about establishing unified standard and measurement tools to confirm it.
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Affiliation(s)
- Xiaoshan Lu
- Department of Psychology, School of Educational Science, Yangzhou University, Yangzhou, China
| | - Xianli An
- Department of Psychology, School of Educational Science, Yangzhou University, Yangzhou, China
| | - Siguang Chen
- Department of Psychology, School of Educational Science, Yangzhou University, Yangzhou, China
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Zhang J, Zhang X, Zhang K, Lu X, Yuan G, Yang H, Guo H, Zhu Z, Wang T, Hao J, Sun Y, Su P, Yang L, Zhang Z. An updated of meta-analysis on the relationship between mobile phone addiction and sleep disorder. J Affect Disord 2022; 305:94-101. [PMID: 35149136 DOI: 10.1016/j.jad.2022.02.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 02/07/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND To conduct a meta-analysis to quantitatively assess the association between mobile phone addiction (MPA) and sleep disorder (SD) by reviewing current evidence from observational studies. METHODS The meta-analysis was conducted by searching Pubmed, Embase, Scopus, and Web of science using a retrieval strategy related to MPA and SD. Pooled Odds ratios and Pearson's correlation coefficients were calculated by R software using a random effects model. RESULTS 29 studies including a total of 20041 participants were identified. We found that MPA was significantly associated with an increased risk of adolescents having SD (OR = 2.25, 95%CI= 1.72-2.94). Additionally, the findings also demonstrated that weak-to-moderate positive correlations were found between MPA and SD (summary r = 0.30, 95%CI= 0.25-0.34). The meta-regression analysis and subgroup analysis suggested that the geographic location and the measurement of MPA might be the sources of heterogeneity, and the robustness of the findings was confirmed by sensitivity analysis. LIMITATIONS The information collected was self-reported, and the recall bias was inevitable. CONCLUSIONS This study updated the findings of the association between MPA and SD from the previous reviews and was also the first meta-analysis to assess the association between MPA and SD using Odds Radios and correlation coefficients concurrently. The result of this study re-emphasized that paying more attention to the public health concerns of MPA and SD is needed in the future, whether implementation more relevant researches or developing targeted policies.
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Affiliation(s)
- Jianghui Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Xueqing Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Kexin Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Xiaoyan Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Guojing Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Huayu Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Haiyun Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Zhihui Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Tianli Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Jiahu Hao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Ying Sun
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Puyu Su
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Linsheng Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Zhihua Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China.
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