scholarly journals A Meta-Analysis of Sleep Disturbances in Panic Disorder

2020 ◽  
Author(s):  
Geneviève Belleville ◽  
Alenka Potočnik
Keyword(s):  
Panic Disorder ◽  
Sleep Disturbances ◽  
Meta Analysis

Sleep Disturbances During Pregnancy and Adverse Maternal and Fetal Outcomes: A Systematic Review and Meta-Analysis

2020 ◽  
Author(s):  
Qingdong Lu ◽  
Xiaoyan Zhang ◽  
Yunhe Wang ◽  
Jinqiao Li ◽  
Yingying Xu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Fetal Outcomes

scholarly journals A systematic review and meta-analysis of prevalence of insomnia in the third trimester of pregnancy

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nader Salari ◽  
Niloofar Darvishi ◽  
Behnam Khaledi-Paveh ◽  
Aliakbar Vaisi-Raygani ◽  
Rostam Jalali ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Sleep Disorders ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Physical And Mental Health ◽  
Third Trimester ◽  
Cross Sectional ◽  
The Third ◽  
Physical Problems ◽  
Meta Regression Analysis

Abstract Background Sleep disorders, which are among the foremost important medical care issues, are prevalent in pregnancy. The present study is a meta-analysis of the prevalence of insomnia in the third trimester of pregnancy. This study aims to systematically review the overall prevalence of insomnia in the third trimester of pregnancy through conducting a meta-analysis. Method The literature used in this meta-analysis for the topic discussed above were obtained through searching several databases, including SID, MagIran, IranDoc, Scopus, Embase, Web of Science (WoS), PubMed Science Direct and Google Scholar databases without time limitation until December 2020. Articles developed based on cross-sectional studies were included in the study. The heterogeneity of studies was investigated using the I2 index. Also, the possible effects of heterogeneity in the studied studies are investigated using meta-regression analysis. Result In 10 articles and 8798 participants aged between11–40, the overall prevalence of insomnia in the third trimester of pregnancy based on meta-analysis was 42.4% (95% CI: 32.9–52.5%). It was reported that as the sample size increases, the prevalence of insomnia in the third trimester of pregnancy increases. Conversely, as the year of research increases, the prevalence of insomnia in the third trimester of pregnancy decreases. Both of these differences were statistically significant (P < 0.05). Conclusion Insomnia was highly prevalent in the last trimester of pregnancy. Sleep disorders are neglected among pregnant women, and they are considered natural. While sleep disturbances can cause mental and physical problems in pregnant women, they can consequently cause problems for the fetus. As a result, maintaining the physical and mental health of pregnant mothers is very important. It is thus recommended that in addition to having regular visits during pregnancy, pregnant women should also be continuously monitored for sleep-related disorders.

Prevalence of Sleep Disturbances in Patients with Chronic Non-cancer Pain: A Systematic Review and Meta-Analysis

2021 ◽  
pp. 101467
Author(s):  
Yishi Sun ◽  
Isabelle Laksono ◽  
Janannii Selvanathan ◽  
Aparna Saripella ◽  
Mahesh Nagappa ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cancer Pain ◽  
Sleep Disturbances ◽  
Meta Analysis

679 Prevalence of Sleep Disturbances in Patients with Chronic Non-cancer Pain: A Systematic Review and Meta-Analysis

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A265-A266
Author(s):  
Yishi Sun ◽  
Isabelle Laksono ◽  
Janannii Selvanathan ◽  
Aparna Saripella ◽  
Mahesh Nagappa ◽  
...  
Keyword(s):  
Systematic Review ◽  
Chronic Pain ◽  
Sleep Quality ◽  
Cancer Pain ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Pain Group ◽  
Pooled Prevalence ◽  
Chronic Pain Patients ◽  
Pain Patients

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 &gt;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 &gt; 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 &lt; 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 &lt; 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):

Unconscious processing of subliminal stimuli in panic disorder: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Marina Baroni ◽  
Sergio Frumento ◽  
Valentina Cesari ◽  
Angelo Gemignani ◽  
Danilo Menicucci ◽  
...  
Keyword(s):  
Systematic Review ◽  
Panic Disorder ◽  
Meta Analysis ◽  
Unconscious Processing

Tobacco-induced sleep disturbances: a systematic review and meta-analysis

2021 ◽  
pp. 101544
Author(s):  
Sébastien Catoire ◽  
Mikail Nourredine ◽  
Stéphanie Lefebvre ◽  
Sébastien Couraud ◽  
Claude Gronfier ◽  
...  
Keyword(s):  
Systematic Review ◽  
Sleep Disturbances ◽  
Meta Analysis

scholarly journals The prevalence of sleep disturbances among physicians and nurses facing the COVID-19 patients: a systematic review and meta-analysis

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Nader Salari ◽  
Habibolah Khazaie ◽  
Amin Hosseinian-Far ◽  
Hooman Ghasemi ◽  
Masoud Mohammadi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Sample Size ◽  
Medical Staff ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Workplace Stress ◽  
Cross Sectional ◽  
Significance Level ◽  
Nurses And Physicians ◽  
As Stress

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.

scholarly journals A review of methods for addressing components of interventions in meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246631
Author(s):  
Maria Petropoulou ◽  
Orestis Efthimiou ◽  
Gerta Rücker ◽  
Guido Schwarzer ◽  
Toshi A. Furukawa ◽  
...  
Keyword(s):  
Panic Disorder ◽  
Analytical Methods ◽  
Meta Analysis ◽  
Complex Interventions ◽  
Software Tools ◽  
Analytical Models ◽  
New Developments ◽  
Healthcare Interventions ◽  
Multicomponent Interventions ◽  
Interacting Components

Many healthcare interventions are complex, consisting of multiple, possibly interacting, components. Several methodological articles addressing complex interventions in the meta-analytical context have been published. We hereby provide an overview of methods used to evaluate the effects of complex interventions with meta-analytical models. We summarized the methodology, highlighted new developments, and described the benefits, drawbacks, and potential challenges of each identified method. We expect meta-analytical methods focusing on components of several multicomponent interventions to become increasingly popular due to recently developed, easy-to-use, software tools that can be used to conduct the relevant analyses. The different meta-analytical methods are illustrated through two examples comparing psychotherapies for panic disorder.

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