scholarly journals Mobile Phone Interventions for Sleep Disorders and Sleep Quality: Systematic Review

2017 ◽  
Vol 5 (9) ◽  
pp. e131 ◽  
Author(s):  
Jong Cheol Shin ◽  
Julia Kim ◽  
Diana Grigsby-Toussaint
SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A446-A447
Author(s):  
J Shin ◽  
J Kim ◽  
D Grigsby-Toussaint

Medicina ◽  
2019 ◽  
Vol 55 (8) ◽  
pp. 453 ◽  
Author(s):  
Longo ◽  
Facchinetti ◽  
Marchetti ◽  
Candela ◽  
Ambrogioni ◽  
...  

Background and Objectives: Sleep disorders are one of the most common complaints of patients with rotator cuff (RC) tears. However, potential correlations between the treatment of RC tears and the causal factors of sleep disorders are still under discussion. The aim of this review is to evaluate quality of sleep in patients before and after surgery for RC tears and to identify which factors affected patients’ sleep. Materials and Methods: A systematic review was conducted. To provide high quality of the review, the included studies were evaluated with the standardized tool “Quality Assessment Tool for Quantitative Studies” developed by the Effective Public Health Practice Project. Results: The search strategy yielded 78 articles. After duplicate removal and titles, abstracts and full-texts review, four studies were included in the systematic review. Concerning shoulder function, the most frequently reported scale was the Simple Shoulder Test (SST). Regarding sleep quality, the most frequently reported score was the Pittsburgh Sleep Quality Index (PSQI). Conclusion: We found that the majority of patients with RC tears had a sleep disturbance, especially before surgery with a general improvement in sleep quality post-operatively. Moreover, sleep quality was correlated with pain and it also seems that factors as comorbidities, obligatory position during night time, preoperative and prolonged postoperative use of narcotics and psychiatric issues may play an important role in sleep quality.


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.


2017 ◽  
Vol 49 (12) ◽  
pp. 1524 ◽  
Author(s):  
Qingqi LIU ◽  
Zongkui ZHOU ◽  
Gengfeng NIU ◽  
Cuiying Fan

2021 ◽  
Vol 13 (4) ◽  
pp. 1389-1397
Author(s):  
Song‐po Shen ◽  
Ying‐jie Wang ◽  
Qiang Zhang ◽  
Hua Qiang ◽  
Xi‐sheng Weng

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