scholarly journals Correlations between mobile phone addiction and anxiety, depression, impulsivity, and poor sleep quality among college students: A systematic review and meta-analysis

2020 ◽  
Vol 9 (3) ◽  
pp. 551-571
Author(s):  
Ying Li ◽  
Guangxiao Li ◽  
Li Liu ◽  
Hui Wu

AbstractBackground and aimsMobile phone addiction (MPA) is frequently reported to be correlated with anxiety, depression, stress, impulsivity, and sleep quality among college students. However, to date, there is no consensus on the extent to which those factors are correlated with MPA among college students. We thus performed a meta-analysis to quantitatively synthesize the previous findings.MethodsA systematic review and meta-analysis was conducted by searching PubMed, Embase, Cochrane Library, Wanfang, Chinese National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), and Chinese Biological Medicine (CBM) databases from inception to August 1, 2020. Pooled Pearson's correlation coefficients between MPA and anxiety, depression, impulsivity, and sleep quality were calculated by R software using random effects model.ResultsForty studies involving a total of 33, 650 college students were identified. Weak-to-moderate positive correlations were found between MPA and anxiety, depression, impulsivity and sleep quality (anxiety: summary r = 0.39, 95% CI = 0.34–0.45, P < 0.001, I2 = 84.9%; depression: summary r = 0.36, 95% CI = 0.32–0.40, P < 0.001, I2 = 84.2%; impulsivity: summary r = 0.38, 95% CI = 0.28–0.47, P < 0.001, I2 = 94.7%; sleep quality: summary r = 0.28, 95% CI = 0.22–0.33, P < 0.001, I2 = 85.6%). The pooled correlations revealed some discrepancies when stratified by some moderators. The robustness of our findings was further confirmed by sensitivity analyses.ConclusionsThe current meta-analysis provided solid evidence that MPA was positively correlated with anxiety, depression, impulsivity, and sleep quality. This indicated that college students with MPA were more likely to develop high levels of anxiety, depression, and impulsivity and suffer from poor sleep quality. More studies, especially large prospective studies, are warranted to verify our findings.

2020 ◽  
Author(s):  
ling wang ◽  
Feng Jin

Abstract Background : To assess the association of sleep duration and quality with the risk of preterm birth. Methods : Relevant studies were retrieved from the PubMed and Web of Science databases up to September 30, 2018. The reference lists of the retrieved articles were reviewed. Random effects models were applied to estimate summarized relative risks (RRs) and 95% confidence intervals (CIs). Results : Ten identified studies (nine cohort studies and one case-controlled study) examined the associations of sleep duration and quality with the risk of preterm birth. As compared with women with the longest sleep duration, the summary RR was 1.23 (95% CI = 1.01–1.50) for women with the shortest sleep duration, with moderate between-study heterogeneity ( I 2 = 57.4%). Additionally, as compared with women with good sleep quality, the summary RR was 1.54 (95% CI = 1.18–2.01) for women with poor sleep quality (Pittsburgh Sleep Quality Index > 5), with high between-study heterogeneity ( I 2 = 76.7%). Funnel plots as well as the Egger’s and Begg’s tests revealed no evidence of publication bias. Conclusions : This systematic review and meta-analysis revealed that short sleep duration and poor sleep quality may be associated with an increased risk of preterm birth. Further subgroup analyses are warranted to test the robustness of these findings as well as to identify potential sources of heterogeneity.


2019 ◽  
Vol 47 (7) ◽  
pp. 689-703 ◽  
Author(s):  
Ernesto González-Mesa ◽  
Celia Cuenca-Marín ◽  
María Suarez-Arana ◽  
Beatriz Tripiana-Serrano ◽  
Nadia Ibrahim-Díez ◽  
...  

Abstract Background Although pregnancy is frequently associated with mental states of happiness, hope and well-being, some physical and psychological changes can contribute to increased sleep disturbances and worsened sleep quality. Sleep quality has been linked to negative emotions, anxiety and depression. The main objective of this paper was to systematically review the impact of sleep during pregnancy on maternal mood, studying the association between objective and subjective measures of sleep quality and perinatal depression. Methods We performed a systematic review according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, which included studies published between January 2008 and April 2019, and met the following criteria: (i) studies on pregnant women assessing the effects of sleep quality variables on perinatal mood disorders, (ii) studies published in English and (iii) full paper published in a peer-reviewed scientific journal with full-text format available. Results A total of 36 studies published in the last decade met the inclusion criteria for qualitative review and eight of them were suitable for meta-analysis. Both confirmed the negative effects of poor sleep on perinatal mood. However, qualitative analysis showed that unrepresentative samples and low participation rates falling below 80% biased some of the studies. The standard random-effects meta-analysis showed a pooled size effect [ln odds ratio (OR) 1.49 (95% confidence interval [CI] 1.19, 1.79)] for perinatal depression in cases of poor prenatal sleep quality, although heterogeneity was moderate to high [Q 16.05, P ≤ 0.025, H2 2.45 (95% CI 1.01, 13.70)]. Conclusion Poor sleep quality was associated with perinatal mood disturbances. The assessment of sleep quality along the pregnancy could be advisable with a view to offering preventative or therapeutic interventions when necessary.


2019 ◽  
Vol 24 (2) ◽  
pp. 709-716 ◽  
Author(s):  
Md Dilshad Manzar ◽  
Bayu Begashaw Bekele ◽  
Majumi M. Noohu ◽  
Mohammed Salahuddin ◽  
Abdulrhman Albougami ◽  
...  

Sleep Health ◽  
2018 ◽  
Vol 4 (3) ◽  
pp. 239-250 ◽  
Author(s):  
Guido Simonelli ◽  
Nathaniel S. Marshall ◽  
Antigone Grillakis ◽  
Christopher B. Miller ◽  
Camilla M. Hoyos ◽  
...  

2021 ◽  
Author(s):  
Yiwen Xu ◽  
Jun Li ◽  
Qian Gao ◽  
Chang Cai ◽  
Jia Meng ◽  
...  

Abstract Objectives: This study aimed to assess the influence of risk cognitive and characteristics of mobile phones using on sleep quality during the COVID-19 epidemic.Methods: We used the Pittsburgh Sleep Quality Index (PSQI), mobile phone use characteristics and a mobile phone use risk cognitive questionnaire, which was answered by 1207 college students. The data were statistically analyzed with SPSS 21.0 software.Results: There were significant differences in the general and poor sleep quality groups (p=0.013 and 0.037, respectively) between before and during the COVID-19 period. In the PSQI scores there were significant differences of the participants between before and during COVID-19 period with respect to dimensions other than sleep quality. Generalized linear regression analysis showed that the “pros and cons” (p=0.007) of mobile phone use for the items “How often do you take a break during use time?” (p=0.003), “Will subjectively increase the distance between the screen and the eyes?” (p=0.003), “Daily accumulated use time (hours)” (p=0.003) and “use time before bed with the lights off (hours)” (p<0.001) were significantly correlated with sleep quality.Conclusions: Risk cognitive and characteristics of mobile phone using influence sleep quality during the COVID-19 epidemic.


2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A56-A56
Author(s):  
J PANG

Abstract Introduction Poor sleep quality is more prevalent in patients with neck pain than in the control without neck pain. The effectiveness of using different pillows in the management of neck pain, waking symptoms and sleep quality is inconclusive. Objectives To identify the randomized controlled trials assessing the effect of different types of pillows on sleep quality, spinal alignment, neck pain, waking symptoms and neck disability. Methods A systematic review was conducted by searching CINAHL Complete, Cochrane Library, EMBASE, Medline, Pubmed and Psychinfo databases from inception to September 2020. Two reviewers independently assessed the articles and evaluated the methodological quality using the Physiotherapy Evidence Database (PEDro) scale. Results Thirty-five articles fulfilled the inclusion criteria of the study. There were nine high-quality studies involving 555 participants. The meta-analysis revealed significant differences favouring the use of rubber pillows to reduce neck pain [standardized mean difference (SMD: -0.263; P &lt; 0.001). Moreover, favourable outcomes by using rubber and spring pillows were found in waking pain (SMD: -0.228; P &lt; 0.001), neck disability (SMD: -0.506; P = 0.020) and pillow satisfaction (SMD: 1.144; P &lt; 0.001). However, pillow designs did not influence sleep quality (SMD = 0.047; P = 0.703) or spinal alignment at side-lying position (SMD=0.049; P=0.280) in patients with chronic neck pain. Discussion The use of spring and rubber pillows shows positive effects on reducing neck pain and disability. Although pillow designs do not change the sleep quality, waking symptoms can be reduced with positive pillow satisfaction in patients with chronic neck pain.


2020 ◽  
Author(s):  
ling wang ◽  
Feng Jin

Abstract Study Objectives: To assess the association between sleep duration and quality, and the risk of preterm birth.Methods: Relevant studies were retrieved from the PubMed and Web of Science databases up to September 30, 2018. The reference lists of the retrieved articles were reviewed. Random effects models were applied to estimate summarized relative risks (RRs) and 95% confidence intervals (CIs).Results: Ten identified studies (nine cohort studies and one case-controlled study) examined the associations between sleep duration and quality and the risk of preterm birth. As compared with women with the longest sleep duration, the summary RR was 1.23 (95% CI = 1.01–1.50) for women with the shortest sleep duration, with moderate between-study heterogeneity (I2 = 57.4%). Additionally, as compared with women with good sleep quality, the summary RR was 1.54 (95% CI = 1.18–2.01) for women with poor sleep quality (Pittsburgh Sleep Quality Index > 5), with high between-study heterogeneity (I2 = 76.7%). The results of stratified analysis by trimester, geographical location, study design, type of preterm birth, and adjustment for potential confounders were comparable to those of the main meta-analysis. Funnel plots as well as the Egger’s and Begg’s tests showed no evidence of publication bias. Conclusions: This systematic review and meta-analysis revealed that short sleep duration and poor sleep quality may be associated with an increased risk of preterm birth.


2020 ◽  
Author(s):  
ling wang ◽  
Feng Jin

Abstract Study Objectives: To assess the association of sleep duration and quality with the risk of preterm birth. Methods: Relevant studies were retrieved from the PubMed and Web of Science databases up to September 30, 2018. The reference lists of the retrieved articles were reviewed. Random effects models were applied to estimate summarized relative risks (RRs) and 95% confidence intervals (CIs). Results: Ten identified studies (nine cohort studies and one case-controlled study) examined the associations of sleep duration and quality with the risk of preterm birth. As compared with women with the longest sleep duration, the summary RR was 1.23 (95% CI = 1.01–1.50) for women with the shortest sleep duration, with moderate between-study heterogeneity (I2 = 57.4%). Additionally, as compared with women with good sleep quality, the summary RR was 1.54 (95% CI = 1.18–2.01) for women with poor sleep quality (Pittsburgh Sleep Quality Index > 5), with high between-study heterogeneity (I2 = 76.7%). Funnel plots as well as the Egger’s and Begg’s tests revealed no evidence of publication bias. Conclusions: This systematic review and meta-analysis revealed that short sleep duration and poor sleep quality may be associated with an increased risk of preterm birth. Further subgroup analyses are warranted to test the robustness of these findings as well as to identify potential sources of heterogeneity.


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