scholarly journals The association between sleep disturbances and suicidal behaviors in patients with psychiatric diagnoses: a systematic review and meta-analysis

2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Shaista Malik ◽  
Amrit Kanwar ◽  
Leslie A Sim ◽  
Larry J Prokop ◽  
Zhen Wang ◽  
...  
2020 ◽  
Author(s):  
Qingdong Lu ◽  
Xiaoyan Zhang ◽  
Yunhe Wang ◽  
Jinqiao Li ◽  
Yingying Xu ◽  
...  

2021 ◽  
pp. 101467
Author(s):  
Yishi Sun ◽  
Isabelle Laksono ◽  
Janannii Selvanathan ◽  
Aparna Saripella ◽  
Mahesh Nagappa ◽  
...  

2021 ◽  
Vol 282 ◽  
pp. 147-159
Author(s):  
Lauro Miranda Demenech ◽  
Adriano Trassantes Oliveira ◽  
Lucas Neiva-Silva ◽  
Samuel C. Dumith

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A265-A266
Author(s):  
Yishi Sun ◽  
Isabelle Laksono ◽  
Janannii Selvanathan ◽  
Aparna Saripella ◽  
Mahesh Nagappa ◽  
...  

Abstract Introduction In individuals with chronic pain, sleep disturbances have been suggested to increase suffering, perception of pain, and to negatively affect long-term prognosis. This systematic review and meta-analysis aims to determine the pooled prevalence of sleep disturbances in chronic non-cancer pain patients with no other sleep disorders, using the patient-rated questionnaires Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI). Methods Multiple databases were searched for studies reporting the prevalence of sleep disturbances in chronic pain patients. Chronic pain was defined as pain >3 months. Comorbid sleep disorders such as sleep disordered breathing and restless leg syndrome were excluded. Sleep disturbances were defined using the PSQI cutoff of > 5 (poor sleep quality) and ISI ≥ 8 (subthreshold to clinical insomnia). The meta-analysis was conducted to examine the pooled prevalence of PSQI and ISI data using the inverse-variance random-effects model and to examine mean differences in PSQI scores. Results The systematic search resulted in 25,486 articles and 20 were included for analysis. In 12 studies using PSQI, the pooled prevalence of sleep disturbance was 75.3% among 3,597 chronic pain patients (mean age 53 ± 12 years; 74% female). In eight studies using ISI, the pooled prevalence was 72.9% among 2,578 chronic pain patients (mean age 63 ± 12 years; 57% female). The meta-analysis showed a significant mean difference of 2.75 (p < 0.001) in the global PSQI score between the chronic pain group versus the non-chronic pain group. The meta-analysis also showed a significant mean difference in the scores of four of seven PSQI components: sleep latency, sleep efficiency, sleep duration, and sleep disturbances (p < 0.05). Conclusion In chronic pain patients, the pooled prevalence of sleep disturbances as measured by PSQI (75.3%) and ISI (72.9%) studies was much higher than those reported for the general population. The relatively high prevalence of sleep disturbances in chronic pain patients emphasizes the importance of further characterizing the relationship between sleep and chronic pain. Support (if any):


2021 ◽  
pp. 101544
Author(s):  
Sébastien Catoire ◽  
Mikail Nourredine ◽  
Stéphanie Lefebvre ◽  
Sébastien Couraud ◽  
Claude Gronfier ◽  
...  

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Nader Salari ◽  
Habibolah Khazaie ◽  
Amin Hosseinian-Far ◽  
Hooman Ghasemi ◽  
Masoud Mohammadi ◽  
...  

Abstract Background In all epidemics, healthcare staff are at the centre of risks and damages caused by pathogens. Today, nurses and physicians are faced with unprecedented work pressures in the face of the COVID-19 pandemic, resulting in several psychological disorders such as stress, anxiety and sleep disturbances. The aim of this study is to investigate the prevalence of sleep disturbances in hospital nurses and physicians facing the COVID-19 patients. Method A systematic review and metanalysis was conducted in accordance with the PRISMA criteria. The PubMed, Scopus, Science direct, Web of science, CINHAL, Medline, and Google Scholar databases were searched with no lower time-limt and until 24 June 2020. The heterogeneity of the studies was measured using I2 test and the publication bias was assessed by the Egger’s test at the significance level of 0.05. Results The I2 test was used to evaluate the heterogeneity of the selected studies, based on the results of I2 test, the prevalence of sleep disturbances in nurses and physicians is I2: 97.4% and I2: 97.3% respectively. After following the systematic review processes, 7 cross-sectional studies were selected for meta-analysis. Six studies with the sample size of 3745 nurses were examined in and the prevalence of sleep disturbances was approximated to be 34.8% (95% CI: 24.8-46.4%). The prevalence of sleep disturbances in physicians was also measured in 5 studies with the sample size of 2123 physicians. According to the results, the prevalence of sleep disturbances in physicians caring for the COVID-19 patients was reported to be 41.6% (95% CI: 27.7-57%). Conclusion Healthcare workers, as the front line of the fight against COVID-19, are more vulnerable to the harmful effects of this disease than other groups in society. Increasing workplace stress increases sleep disturbances in the medical staff, especially nurses and physicians. In other words, increased stress due to the exposure to COVID-19 increases the prevalence of sleep disturbances in nurses and physicians. Therefore, it is important for health policymakers to provide solutions and interventions to reduce the workplace stress and pressures on medical staff.


2019 ◽  
Vol 24 (8) ◽  
pp. 911-924
Author(s):  
Zhenyu Li ◽  
Ting Fu ◽  
Yilin Wang ◽  
Chen Dong ◽  
Xiaoyi Shao ◽  
...  

Author(s):  
Latoya Clarke ◽  
Katharine Chisholm ◽  
Francesco P. Cappuccio ◽  
Nicole K.Y. Tang ◽  
Michelle A. Miller ◽  
...  

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