How fatigue level is related to sleep disturbances: a large cross-sectional community study

Author(s):  
Min Kyung Hyun
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nader Salari ◽  
Niloofar Darvishi ◽  
Behnam Khaledi-Paveh ◽  
Aliakbar Vaisi-Raygani ◽  
Rostam Jalali ◽  
...  

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.


PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3973 ◽  
Author(s):  
David Balayssac ◽  
Bruno Pereira ◽  
Julie Virot ◽  
Céline Lambert ◽  
Aurore Collin ◽  
...  

Background Like other health professionals, community pharmacists are exposed to stress factors (being efficient, avoiding mistakes and bearing emotional load), but they are also under the pressure of entrepreneurial responsibilities. The main objective was to assess the level of work-related stress in French community pharmacies. The other objectives of the study were to assess the associated comorbidities and causes of work-related stress. Methods This observational cross-sectional study was sent to all French community pharmacies by email. The survey was anonymous and designed to collect the following items: socio-demographic factors, professional status, characteristics of community pharmacy, work-related stress (visual analogic scale—VAS), fatigue (VAS), sleep disturbances (questions), anxiety and depression symptoms (hospital anxiety and depression scale), medical consultation for work-related stress, medication use for work related stress, psychoactive drug-use and causes of work-related stress. Participants were included in the survey if they were pharmacists (owner or assistant) or pharmacy technicians working in a community pharmacy at the time of the survey. Exclusion criteria were defined as follows: pharmacy students or other professionals involved in a community pharmacy (e.g. dietician, beautician) and lack of professional status information. There was no age limitation. Results After three months of data collection, 1,339 participants answered the survey and 1,272 participants were included in conformity with the inclusion and exclusion criteria, and to avoid missing data on the primary endpoint. Work-related stress was detected in 32.8% (417/1,272) of individuals (scores ≥70/100). Men were significantly more affected than women and there was no difference between professional statuses and no relation with the age of the participants. Work-related stress was significantly associated with anxiety, depression, fatigue, sleep disturbances, medical consultations, medication use, alcohol consumption above the WHO recommendations for men and psychoactive drug use. Three causes of stress were clearly identified and related to stress levels, workload, working atmosphere and deterioration of work quality. However, causes of work-related stress were significantly different among professionals, for example: entrepreneurial burden for pharmacists-in-charge and workload for employees (assistant pharmacists and pharmacy technicians). Discussion Work-related stress has a very strong impact in French community pharmacies. This stress was associated with several comorbidities and induces health resource consumption. Several causes of work-related stress have been identified such as workload, working atmosphere and deterioration of work quality; however, these causes could be detected and managed to improve stress levels. We recommend developing individual and organizational stress management in French community pharmacies.


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.


2020 ◽  
Vol 13 (1) ◽  
pp. 684-691
Author(s):  
Aman Dule ◽  
Mustefa Mohammedhussein ◽  
Mohammedamin Hajure

Aim: Current study was aimed to assess the impacts of sleep disturbances on patient’s quality of life. Background: Schizophrenia is a syndrome, which affects sleep. Up to 80% of schizophrenic patients complain of sleep disturbances which affect the quality of life Objectives: To assess the association of sleep disturbances and quality of life and other contributing factors among schizophrenic patients on follow-up treatment at Jimma University Southwest Ethiopia. Methods: A cross-sectional study with a consecutive sampling of 411 out-patients at Jimma University medical center was employed from April 21-June 20, 2019. Sleep disturbances and the quality of life were assessed by Pittsburgh sleep quality index and WHOQOL-BREF, respectively. Epi data version 3.1 and SPSS version 23.0 software was used. Chi-square and independent samples t-test were used for association and P-value < 0.05 was considered for statistical significance. Results: Most participants had sleep disturbances and the mean score of positive scale on PANSS was higher for patients with sleep disturbances. About one-fourth of the patients had very good subjective sleep quality and > 85% of sleep efficiency was reported by 139 participants. More than half (51.1%) of the subjects had used sleep medication and the majority (64.7%) of them were reported daytime dysfunctions in the past month. The social domain (M±SD=3.92±2.51, t=8.46, p= <0.001, eta2=0.15) and overall WHOQOL (M±SD=57.60±16.87, t=9.24, p= < 0.001, eta2= 0.17) score had a large difference of means and about 15% and 17% of the variance in sleep disturbance have been explained. Conclusion: Generally, the finding of the current study was in agreement with most of the previous studies and sleep disturbances respectively moderate to significant effects on the patient’s quality of life.


Author(s):  
Umer Maqsood ◽  
Roop Zahra ◽  
Muhammad Zahid Latif ◽  
Hena Athar ◽  
Gul Muhammad Shaikh ◽  
...  

Introduction: A variety of research studies have shown that caffeine usage is highly prevalent among university students and many of them have different perception of its effect on their mental and physical health. These perceptions can influence the intake of caffeine which may lead to its addiction, resulting in serious public health consequences. Aims & Objectives: The objective of the study is to determine the frequency of caffeine consumption and the perception of its effects among university students. Place and duration of study: This study was conducted within 6 months duration, from May 2018 to October 2019 among students of three private universities in Lahore, Pakistan. Material & Methods: This was a descriptive cross-sectional study. A sample size of 670 university students was taken and the data were collected from three private universities of Lahore through convenience sampling technique. The perception of effects of caffeine was determined through a pre-validated questionnaire, Caffeine Expectancy Questionnaire (CaffEQ) from consumers and nonconsumers of caffeine. Results: A total of 670 university students participated in the study, out of which, 278 (41.5%) were males and 392 (58.5%) were females. 506 (75.5%) participants were consumer of caffeine, while 164 (24.5%) were non consumer. The occurrence of caffeine consumption was more in males (79.9%) than in females (72.4%). Participants reported that they consume caffeine because it makes them feel more alert (83.4%), they experience caffeine withdrawal without caffeine (83%) and caffeine makes them feel more energetic (80.6%). The perceptions due to which participants don't consume caffeine were that they expect caffeine makes their heartbeat irregular (81.7%), they don't like the way caffeine makes them feel (80.5%) and caffeine makes them irritable (76.8%). Conclusion: The study concludes that male students had more tendencies towards caffeine consumption than females. Perceptions for consuming caffeine were feeling of alertness, experiencing caffeine withdrawal symptoms, feeling of energy and ability to work over long periods of time after having caffeine. The perceptions for not consuming caffeine were irregular heartbeat, bad feelings, irritability, and sleep disturbances.


Author(s):  
Magda Piekarska ◽  
Martyna Pszczółka ◽  
Damian Parol ◽  
Paweł Szewczyk ◽  
Daniel Śliż ◽  
...  

The COVID-19 pandemic and abiding restrictions have affected every life domain. Sleep disturbances are a major health issue that is linked with a higher prevalence of metabolic syndrome, obesity, and psychological burdens. Research of sleeping disorders among vegetarian and non-vegetarian subpopulations is limited. The aim of the study was to assess the prevalence of sleeping disorders during the COVID-19 pandemic among people with different dietary patterns. Using a web-based cross-sectional survey, data were collected from 1987 people. A total of 1956 respondents met all study conditions. The questionnaire consisted of sociodemographic information, assessment of dietary habits, and assessment of the prevalence of insomnia and sleepiness, based on the Athens Insomnia Scale (AIS) and Epworth Sleepiness Scale (ESS). A total of 36.04% (n = 705) respondents declared that they noticed a change in the quality of their sleep during the last year. According to AIS and ESS, non-vegetarians suffered from insomnia or sleepiness more often than vegetarians. Insomnia and sleepiness were also more prevalent among those respondents who declared consumption of fruit and vegetables less often than once a day compared with those who consumed fruit and vegetables daily. Respondents with BMI within the recommended limit (18.5–24.99) suffered from insomnia less often when compared with underweight (BMI < 18.5) or obese (BMI ≥ 25) respondents. Those results may be useful for public health workers and medical professionals in terms of establishing new instruments that help treat sleeping disorders.


Author(s):  
Halil ONDER ◽  
Ersin Kasim ULUSOY ◽  
Caner BAYDAR ◽  
Mustafa KIRAZ ◽  
Muhammet Okay ORUN ◽  
...  

ABSTRACT Background: Psychiatric problems and sleep disturbances are comorbidities that are frequently encountered among people with epilepsy. However, their presence among the spouses of peoples with epilepsy remains to be elucidated. Objective: The objective of this study was to evaluate the spouses of people with epilepsy (PWE), with and without a history of seizures during sleep, in terms of depression, anxiety and sleep quality. Methods: This prospective, cross-sectional study was conducted in three groups of 18 to 65-year-olds. Group 1 consisted of healthy spouses of 127 healthy volunteers without any known neurological disease; group 2 comprised spouses of 63 PWE who had no history of seizure during sleep; and group 3 consisted of spouses of 63 PWE who had a history of at least one seizure during sleep in the course of the previous year. Questionnaires seeking demographic data and the Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory and Beck Anxiety Inventory were applied to all participants. Results: The depression scores of the group of spouses of PWE were higher than those of the control group and were higher in group 3 than in group 2 (p = 0.017). The anxiety scores of the group of spouses of PWE were significantly higher than those of the control group, but no difference in anxiety scores was found between group 2 and group 3 (p = 0.170). The mean PSQI score of group 3 was higher than that of group 2 (p = 0.029). However, regression analyses did not show any difference between these groups. Conclusion: We found that the PSQI scores, which reflected sleep quality, were higher among the spouses of PWE who had seizures during sleep and who had more severe epilepsy.


2020 ◽  
Author(s):  
Jennifer Huberty ◽  
Megan E Puzia ◽  
Linda Larkey ◽  
Michael R Irwin ◽  
Ana-Maria Vranceanu

BACKGROUND Over 30% of Americans report regular sleep disturbance, and consumers are increasingly seeking strategies to improve sleep. Self-guided mindfulness mobile apps may help individuals improve their sleep. Despite the recent proliferation of sleep content within commercially available mindfulness apps, there is little research on how consumers are using these apps for sleep. OBJECTIVE We conducted a cross-sectional survey among subscribers to Calm, a popular, consumer-based, mindfulness-based meditation app, and described and compared how good sleepers, poor sleepers, and those with self-reported insomnia use the app for sleep. METHODS Participants who were paying subscribers of Calm and had used a sleep component of Calm in the last 90 days were invited to complete an investigator-developed survey that included questions about sleep disturbance and the use of Calm for sleep. Based on self-reports of sleep disturbances and of insomnia diagnosis, participants were categorized as “good sleepers,” “poor sleepers,” or “those with insomnia diagnosis.” Chi-square tests compared reasons for downloading the app and usage patterns across participants with and without sleep disturbance. RESULTS There was a total of 9868 survey respondents. Approximately 10% of participants (1008/9868, 10.21%) were good sleepers, 78% were poor sleepers (7565/9868, 77.66%), and 11% reported a diagnosis of insomnia (1039/9868, 10.53%). The sample was mostly White (8185/9797, 83.55%), non-Hispanic (8929/9423, 94.76%), and female (8166/9578, 85.26%). The most common reasons for sleep disturbances were racing thoughts (7084/8604, 82.33%), followed by stress or anxiety (6307/8604, 73.30%). Poor sleepers and those with insomnia were more likely than good sleepers to have downloaded Calm to improve sleep (χ<sup>2</sup><sub>2</sub>=1548.8, <i>P</i>&lt;.001), reduce depression or anxiety (χ<sup>2</sup><sub>2</sub>=15.5, <i>P</i>&lt;.001), or improve overall health (χ<sup>2</sup><sub>2</sub>=57.6, <i>P</i>&lt;.001). Respondents with insomnia used Calm most often (mean 5.417 days/week, SD 1.936), followed by poor sleepers (mean 5.043 days/week, SD 2.027; <i>F</i><sub>2</sub>=21.544, <i>P</i>&lt;.001). The most common time to use Calm was while lying down to sleep (7607/9686, 78.54%), and bedtime use was more common among poor sleepers and those with insomnia (χ<sup>2</sup><sub>2</sub>=382.7, <i>P</i>&lt;.001). Compared to good and poor sleepers, those with insomnia were more likely to use Calm after waking up at night (χ<sup>2</sup><sub>2</sub>=410.3, <i>P</i>&lt;.001). Most participants tried to use Calm on a regular basis (5031/8597, 58.52%), but regular nighttime use was most common among those with insomnia (646/977, 66.1%), followed by poor sleepers (4040/6930, 58.30%; χ<sup>2</sup><sub>2</sub>=109.3, <i>P</i>&lt;.001). CONCLUSIONS Of the paying subscribers to Calm who have used one of the sleep components, approximately 90% have sleep difficulties, and 77% started using Calm primarily for sleep. These descriptive data point to areas of focus for continued refinement of app features and content, followed by prospective trials testing efficacy of consumer-based meditation mobile apps for improving sleep.


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