Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies

被引:1
|
作者
Chu, Yoora [1 ]
Oh, Yeongbiehn [1 ]
Gwon, Minseong [1 ]
Hwang, Seokhyun [1 ]
Jeong, Hyeokjun [1 ]
Kim, Hyun-Woo [2 ]
Kim, Kihun [3 ,6 ]
Kim, Yun Hak [4 ,5 ,7 ,8 ]
机构
[1] Pusan Natl Univ, Sch Med, Yangsan, South Korea
[2] Pusan Natl Univ, Dept Neurol, Yangsan Hosp, Yangsan, South Korea
[3] Kosin Univ Gospel Hosp, Dept Occupat & Environm Med, Pusan, South Korea
[4] Pusan Natl Univ, Sch Med, Dept Biomed Informat, Yangsan, South Korea
[5] Pusan Natl Univ, Sch Med, Dept Anat, Yangsan, South Korea
[6] Kosin Univ Gospel Hosp, Dept Occupat & Environm Med, Busan, South Korea
[7] Pusan Natl Univ, Dept Anat, Yangsan 50612, South Korea
[8] Pusan Natl Univ, Dept Biomed Informat, Yangsan 50612, South Korea
来源
JOURNAL OF CLINICAL SLEEP MEDICINE | 2023年 / 19卷 / 03期
关键词
sleep quality; smartphone overuse; meta-analysis; Pittsburgh Sleep Quality Index; Smartphone Addiction Scale; ELECTROMAGNETIC-FIELD EXPOSURE; MOBILE PHONES; PROBLEMATIC INTERNET; CELL-PHONE; STUDENTS; ADDICTION; MELATONIN; IMPACT; LIGHT; ADOLESCENTS;
D O I
10.5664/jcsm.10392
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Study Objectives: Several studies have recently reported on the association between smartphone usage and self-reported sleep quality. However, no systematic review or meta-analysis has yet been performed. We aimed to analyze the association between smartphone usage time and self-reported sleep quality. Methods: We searched for articles published up to January 13, 2022, using the Embase and Medline databases. All observational studies were eligible for inclusion. The Newcastle-Ottawa scale was used to evaluate the risk of bias within studies. We used restricted cubic spline analysis to perform a dose-response analysis. Results: Seventeen studies with a total of 36,485 participants were included. The pooled odds ratio was 2.28 (confidence interval [CI]: 1.81-2.89; P < .001) and heterogeneity was 80%. In the dose-response analysis conducted on 5 studies, the regression coefficient between daily smartphone usage time (hours/day) and poor sleep quality was 1.042 (1.027-1.058), which confirmed a significantly positive association. Conclusions: Smartphone overuse was closely associated with poor self-reported sleep quality, sleep deprivation, and sleep latency prolongation. Further studies using a more structured method and high-quality evidence (cohort or case-control) should be conducted. Systematic Review Registration: CRD42022303371.
引用
收藏
页码:621 / 630
页数:10
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