scholarly journals Sleep quality among a sample of Egyptian truck drivers

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
M Yosef ◽  
M A Abdelhamid ◽  
W Salaheldin ◽  
M Elhabiby ◽  
M Rady
Keyword(s):  
Sleep Quality ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Truck Drivers ◽  
Poor Sleep ◽  
Road Traffic Accidents ◽  
Poor Sleep Quality ◽  
Significant Difference ◽  
Hours Of Work ◽  
The Mean

Abstract Background “Road traffic accidents” is a major health problem and it is significantly related to the mean daily sleep hours and sleep quality. This study aims to explore the sleep quality among a group of Egyptian truck drivers. Methodology A convenience sample of 117 male truck drivers working on Cairo – Suez highway was selected. Socio-demographic and occupational history were collected using an interview questionnaire and the Pittsburgh sleep quality index (PSQI) was calculated. Results The mean age of the studied drivers was 38.7 ± 9.7 y, 82.1% were married and 79.5% were current smokers. The mean driving hours per day was 15.35 ± 4.77, the mean sleeping hours per day was 5.8 ± 2.3 and 48 drivers (41%) had poor sleep quality according to the cutoff 5 for PSQI questionnaire. There was a significant difference between drivers with good vs poor sleep quality regarding number of cigarettes smoked per day, hours of work per day and mean distance travelled per day. Multivariate logistic regression showed that hours of work per day was the only significant predictor with poor sleep quality. Among drivers with poor sleep quality 16.3% reported having accidents in the past year which was significantly higher (p = 0.016) than those who had good sleep quality (2.9%), Odds Ratio: 6.4, 95% CI; 1.3-31.8. Conclusion Poor sleep quality is associate with increased risk of road traffic accidents among the studied truck drivers and the main factor that affect sleep quality is the number of working hours per day.

Nocturnal serum melatonin levels in sulfur mustard exposed patients with sleep disorders

2017 ◽  
pp. jramc-2016-000677
Author(s):  
Seyyedeh Soghra Mousavi ◽  
E Vahedi ◽  
M Shohrati ◽  
Y Panahi ◽  
S Parvin
Keyword(s):  
Sleep Quality ◽  
Sulfur Mustard ◽  
Pulmonary Function Tests ◽  
Critical Role ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Respiratory Disorders ◽  
Obstructive Sleep ◽  
Significant Difference ◽  
The Mean

BackgroundSulfur mustard (SM) exposure causes respiratory disorders, progressive deterioration in lung function and mortality in injured victims and poor sleep quality is one of the most common problems among SM-exposed patients. Since melatonin has a critical role in regulation of sleep and awareness, this study aimed to evaluate the serum melatonin levels in SM-injured subjects.MethodsA total of 30 SM-exposed male patients and 10 controls was evaluated. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI); daytime sleepiness was measured by the Epworth Sleepiness Scale (ESS), and the risk of obstructive sleep apnoea was determined by the STOP-Bang questionnaire. Polysomnography (PSG) and pulmonary function tests (PFTs) were also available. Nocturnal serum melatonin levels were measured using an ELISA kit.ResultsThe mean of PSQI, ESS and STOP-Bang scores in patients (11.76±3.56, 12.6±3.03 and 5.03±1.09, respectively) were significantly (p<0.01) higher than those in the controls (2.78±0.83, 4.69±1.15 and 1.18±0.82, respectively). PFTs also showed declined respiratory quality in SM-patients. There was a significant difference regarding the PSG results between patients and controls (p<0.01). The mean of nocturnal serum melatonin levels in patients (29.78±19.31 pg/mL) was significantly (p=0.005) lower than that in the controls (78.53±34.41 pg/mL).ConclusionsReduced nocturnal serum melatonin and respiratory disorders can be the reasons for poor sleep quality among these patients.Trial registration numberIRCT2015092924267N1, Pre-results.

644 Sleep Quality in Intensive Care Unit Patients with Advanced Heart Failure

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A252-A252
Author(s):  
Elizabeth Edmiston ◽  
Mary Dolansky
Keyword(s):  
Heart Failure ◽  
Sleep Quality ◽  
Sleep Hygiene ◽  
Mean Difference ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Post Discharge ◽  
Time Points ◽  
Significant Difference ◽  
The Mean

Abstract Introduction Around 75% of Americans with heart failure (HF) report poor sleep quality, a much higher percentage than the general population. This is especially concerning since poor sleep quality is associated with poor cardiac event-free survival. Persons with HF are hospitalized often and between 10–51% of those hospitalized are admitted to an intensive care unit ICU. Poor sleep quality is a common complaint in ICU with over 50% of patients rating sleep quality as poor to very poor. The purpose of the study was to evaluate changes in sleep quality in persons with advanced HF who were admitted to an ICU. Methods Persons with advanced HF admitted to ICU were recruited into this pilot study (age 29–89). Using the Pittsburgh Sleep Quality Index, self-reported sleep quality was assessed at three time points: pre-admission, during hospitalization, and post-discharge. Scores greater than five indicated poor sleep quality. A Repeated Measures Analysis of Variance (RMANOVA) test compared means from the same participant over time for sleep quality (N=22). Results At baseline, 93% of participants reported poor sleep, 90% during hospitalization, and 86% post-discharge. A significant difference among the three time points was found [F (2, 42) =5.341; p&lt;.01]. The mean sleep quality score pre-admission was 11.77 and SD=3.69, during hospitalization M=12.27 and SD=3.65, and post-discharge M=9.32 and SD=4.56. The mean difference of sleep quality pre-admission and sleep quality during hospitalization was not significant. However, the mean difference of sleep quality pre-admission and sleep quality post-discharge was significant (Mean difference=2.46; p&lt;.05). Also, a significant difference in sleep quality during hospitalization and post-discharge was found (Mean difference=2.96; p&lt;.05). Conclusion The number of participants who reported poor sleep during hospitalization was much larger than previously reported in the literature. Also, participants reported significantly better sleep quality post-discharge than pre-admission and during hospitalization. Furthermore, this population may be vulnerable for poor sleep due to symptom severity prior to hospital admission, diuretic use, and poor sleep hygiene. Implementation of sleep hygiene strategies are needed during hospitalization to promote sleep and to teach sleep hygiene self-management. Support (if any):

scholarly journals Sleep Quality and Its Associated Factors among Low-Income Adults in a Rural Area of China: A Population-Based Study

2018 ◽  
Vol 15 (9) ◽  
pp. 2055 ◽  
Author(s):  
Wenwen Wu ◽  
Wenru Wang ◽  
Zhuangzhuang Dong ◽  
Yaofei Xie ◽  
Yaohua Gu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Low Income ◽  
Rural Areas ◽  
Population Based ◽  
Poor Sleep ◽  
Chinese Adults ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Health Related ◽  
The Mean

Background: There is limited population-based research focusing on sleep quality among low-income Chinese adults in rural areas. This study aimed to assess sleep quality among low-income adults in a rural area in China and identify the association between sleep quality and sociodemographic, lifestyle and health-related factors. Methods: The study was conducted from September to November in 2017 using a cross-sectional survey questionnaire. A total of 6905 participants were recruited via multistage, stratified cluster sampling. Data were collected using the Chinese versions of Pittsburgh Sleep Quality Index and Food Frequency Questionnaire, while we also determined the sociodemographic profiles of the participants. Results: The mean age of the sample was 58.71 ± 14.50 years, with 59.7% being male, while the mean duration of daily sleep was 5.95 ± 1.31 h, with 56.7% reportedly experiencing poor sleep quality. Multiple regression analysis revealed that older age, unemployment, lower income, disability and chronic disease comorbidities were significant factors associated with an increased risk of poor sleep quality for both genders. Moreover, married and higher education level were associated with decreased risk of poor sleep quality for females, while a meat-heavy diet and illness during the past two weeks increased the risk of poor sleep quality for males. Conclusions: Sociodemographic, lifestyle and health-related factors had an impact on the frequently poor sleep quality of low-income Chinese adults in rural areas. Thus, comprehensive measures must be developed to address the modifiable predictive factors that can possibly enhance sleep quality.

scholarly journals Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Asmaa Jniene ◽  
Leila Errguig ◽  
Abdelkader Jalil El Hangouche ◽  
Hanan Rkain ◽  
Souad Aboudrar ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Blue Light ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Light Emitting ◽  
Light Emitting Devices ◽  
The Mean ◽  
Perception Of Sleep

Introduction. The use of blue light-emitting devices (smartphones, tablets, and laptops) at bedtime has negative effects on sleep due to light stimulation and/or problematic excessive use. We aimed to evaluate, among young medical students, if the perception of sleep disturbances due to bedtime use of these devices is consistent with healthier habits and a better sleep quality. Materials and methods. 294 medical students in medicine and pharmacy from the Faculty of Medicine and Pharmacy of Rabat, Morocco, took part in this anonymous and voluntary cross-sectional study and answered an electronic questionnaire. Student and Mann–Whitney U tests were used to compare variables between 2 groups based on their perception of sleep disturbances. The level of significance was p≤0.05. Results. 286 students (97.3%) used a blue light-emitting smart device at bedtime before sleep, and sleep quality was poor (Pittsburgh Sleep Quality Index, PSQI > 5) in 101 students (35.3%). The perception of sleep disturbances due to this night usage was reported by 188 of them (65.7%). In this group, 154 (81.9%) used their device with all the lights turned off in the room (p=0.02), 34 (18.1%) put devices under pillows (p=0.04), 114 (60.6%) interrupted sleep to check messages (p<0.001), and the mean duration use of these technologies at bedtime was 2 h ± 23 min per night (p=0.02). Also, the mean sleep duration was 6.3 hours ± 1.25 (p=0.04), 119 (63.3%) presented fatigue on waking more than one time per week (p=0.04), and 76 (40.4%) presented poor sleep quality (75.2% of the students with PSQI > 5) (p=0.005). Conclusions. Despite the perception of sleep disturbances due to bedtime use of blue light-emitting devices, unhealthy sleep habits tend to be frequent in young medical students and worrying because it is associated to significant poor sleep quality.

scholarly journals The estimated cost of surgically managed isolated traumatic head injury secondary to road traffic accidents

2018 ◽  
Vol 44 (5) ◽  
pp. E7 ◽  
Author(s):  
Xinli You ◽  
Boon S. Liew ◽  
Azmin K. Rosman ◽  
Kamarul Imran Musa ◽  
Zamzuri Idris ◽  
...  
Keyword(s):  
Head Injury ◽  
Severe Head Injury ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Cost Of Care ◽  
Road Traffic Accidents ◽  
Traumatic Head Injury ◽  
Traumatic Head ◽  
The Mean ◽  
Mean Cost

OBJECTIVETraumatic brain injury due to road traffic accidents occurs mainly in the younger age group in which injury-related disability leads to long-term impact on employment and economic and social consequences across the lifespan. This study was designed to assign a monetary cost (in Malaysian ringgits [RM]) to the treatment of patients with surgically treated isolated traumatic head injury as determined up to 1 year after injury.METHODSRelevant resource items used were identified and valued using the direct measurement of costs method, cost accounting methods, standard unit costs method, fees, charges and/or market prices method. These values were then tabulated to generate the total costs for each patient, via a combination of macro-costing and micro-costing methods. Malaysian currency values were converted to US dollars according to the average conversion rate for the period from January to May 2016: RM1 = US$0.2452.RESULTSThis costing study analyzed data from 49 patients. The estimated cost for the 1st year of care for all patients was RM1,471,919.80 (US$360,914.735), with a mean (± SD) cost per case of RM30,039.18 ± 22,986.25 or $7365.61 ± $5636.23. The mean cost of care per case was RM11,041.35 ± 10,936.88 or $2707.34 ± $2681.72 for mild head injury, RM32,550.00 ± 20,998.76 or $7981.26 ± $5148.90 for moderate head injury, and RM36,917.86 ± 23,697.34 or $9052.26 ± $5810.59 for severe head injury. Severe head injury (p = 0.001), sustaining 2 or more intracranial pathologies (p = 0.01), having a poor Glasgow Outcome Scale (GOS) score (GOS score 1–3) (p = 0.02), requiring a tracheostomy (p < 0.001), and contracting pneumonia (p < 0.001) were significantly associated with higher cost. Logistic regression analysis revealed that cost of care increased by RM591.60 or $145.06 per year increment of age (β = RM591.60, p = 0.05).CONCLUSIONSThe mean cost of treatment for traumatic head injury is high compared to the per capita income of RM37,900 in 2016. The cost values generated in this study provide baseline cost estimates that the authors hope will be used as a guide to determine where adequate funding should be allocated to provide timely and appropriate delivery of care.

scholarly journals Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study (Preprint)

2020 ◽  
Author(s):  
Milad Asgari Mehrabadi ◽  
Iman Azimi ◽  
Fatemeh Sarhaddi ◽  
Anna Axelin ◽  
Hannakaisa Niela-Vilén ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Sample Population ◽  
Sleep Monitoring ◽  
Daily Routines ◽  
Home Based ◽  
Significant Difference ◽  
Sleep Parameters ◽  
The Mean ◽  
Mean Differences

BACKGROUND Assessment of sleep quality is essential to address poor sleep quality and understand changes. Owing to the advances in the Internet of Things and wearable technologies, sleep monitoring under free-living conditions has become feasible and practicable. Smart rings and smartwatches can be employed to perform mid- or long-term home-based sleep monitoring. However, the validity of such wearables should be investigated in terms of sleep parameters. Sleep validation studies are mostly limited to short-term laboratory tests; there is a need for a study to assess the sleep attributes of wearables in everyday settings, where users engage in their daily routines. OBJECTIVE This study aims to evaluate the sleep parameters of the Oura ring along with the Samsung Gear Sport watch in comparison with a medically approved actigraphy device in a midterm everyday setting, where users engage in their daily routines. METHODS We conducted home-based sleep monitoring in which the sleep parameters of 45 healthy individuals (23 women and 22 men) were tracked for 7 days. Total sleep time (TST), sleep efficiency (SE), and wake after sleep onset (WASO) of the ring and watch were assessed using paired <i>t</i> tests, Bland-Altman plots, and Pearson correlation. The parameters were also investigated considering the gender of the participants as a dependent variable. RESULTS We found significant correlations between the ring’s and actigraphy’s TST (<i>r</i>=0.86; <i>P</i>&lt;.001<i>)</i>, WASO (<i>r</i>=0.41; <i>P</i>&lt;.001), and SE (<i>r</i>=0.47; <i>P</i>&lt;.001). Comparing the watch with actigraphy showed a significant correlation in TST (<i>r</i>=0.59; <i>P</i>&lt;.001). The mean differences in TST, WASO, and SE of the ring and actigraphy were within satisfactory ranges, although there were significant differences between the parameters (<i>P</i>&lt;.001); TST and SE mean differences were also within satisfactory ranges for the watch, and the WASO was slightly higher than the range (31.27, SD 35.15). However, the mean differences of the parameters between the watch and actigraphy were considerably higher than those of the ring. The watch also showed a significant difference in TST (<i>P</i>&lt;.001) between female and male groups. CONCLUSIONS In a sample population of healthy adults, the sleep parameters of both the Oura ring and Samsung watch have acceptable mean differences and indicate significant correlations with actigraphy, but the ring outperforms the watch in terms of the nonstaging sleep parameters.

scholarly journals The relationship between Fear of Hypoglycemia and Sleep Quality among type II Diabetic Patients

2019 ◽  
Author(s):  
Leili Yekefallah ◽  
Farzaneh Talebi ◽  
Ali Razaghpoor ◽  
Mohammmad Hossein Mafi
Keyword(s):  
Sleep Quality ◽  
Significant Relationship ◽  
Diabetic Patients ◽  
Poor Sleep ◽  
Type Ii ◽  
Poor Sleep Quality ◽  
Fear Of Hypoglycemia ◽  
The Mean ◽  
The Relationship

Abstract Introduction and Objective Fear of hypoglycemia can result in anxiety, stress, anger, depression and severe avoidance behaviors that it affects the sleep quality of diabetic patients. Therefore, the present study was conducted with the aim of investigating the relationship between fear of hypoglycemia and sleep quality among type II diabetic patients. Methods The present cross-sectional study was conducted on 400 type II diabetic patients referred to endocrinology clinic of Velayat Hospital and Boali Hospital in Qazvin, in 2018. Data were collected using a checklist for demographic variables, the Fear of Hypoglycemia Survey (FHS-W), and the Pittsburgh sleep quality index (PSQI). Descriptive statistics and Spearman correlation test were performed for data analysis using SPSS v24. Results In this study, the mean age of diabetic patients was 55.75±10.31. The majority of the participants were female (n=299, 74.8%) and were treated with oral anti-diabetic drugs (n=174, 43.5%). The mean score of sleep quality in patients was 8.98±3.64 and the fear of hypoglycemia was 21.27±11.92. The results of this study showed that there was a significant relationship between the fear of hypoglycemia and the poor sleep quality among patients (p<0.001, r=0.305). Conclusion The fear of hypoglycemia has a direct and significant relationship with poor sleep quality in diabetic patients; so that this fear reduces the quality of sleep in diabetic patients. Therefore, in order to provide adequate sleep to prevent inappropriate sleep complications, great attention should be paid to the issue of fear of hypoglycemia, and consider some actions to reduce this fear.

scholarly journals PENGARUH TERAPI POSISI LATERAL KANAN TERHADAP KUALITAS TIDUR PASIEN GAGAL JANTUNG DI RSUP M DJAMIL PADANG

2019 ◽  
Vol 8 (1) ◽  
pp. 117
Author(s):  
Marnila Yesni
Keyword(s):  
Heart Failure ◽  
Sleep Quality ◽  
Nursing Intervention ◽  
Lateral Position ◽  
Control Group ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Heart Failure Patients ◽  
Significant Difference

The heart failure disease incident rate is high in the world and Indonesia. Heart failure patients suffer from poor sleep quality. This affects the disease recovery process and increases the mortality and morbidity rates. Patients need an intervention to overcome the issue and the role of a nurse is highly needed to overcome it. The purpose of this research was to identify the effects of nursing intervention of therapy of right lateral position on the sleep quality of heart failure patients. The method used was the Quasi Experiment with the pre and post test control group consisting of 15 respondents of intervention group and 14 respondents of control group treated at RSUP M Djamil Padang, determined according to the inclusion criteria. The results of research indicated that there was a significant difference in the sleep quality of right lateral position group and the control group with the value (p = value = 0,001). The statistics test used was the independent T test. Sleep is the necessity of human beings. By giving the intervention of therapy of right lateral position, the issue of poor sleep quality in heart failure patients may be resolved. Health care service, particularly nurses, is advised to apply this therapy as an independent nursing intervention to increase the sleep quality of heart failure patients treated at the hospital.

scholarly journals Most Frequently Affected Body parts in Road Traffic Accidents Reporting to the Accident and Emergency Department of the Largest Tertiary Care hospital of Karachi in 2019

2021 ◽  
Author(s):  
Zaeema Ahmer ◽  
Aisha Siddiqui
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Care Hospital ◽  
Body Parts ◽  
Road Traffic Accidents ◽  
Accident And Emergency ◽  
Significant Difference ◽  
Study Participants

Introduction Injuries sustained during Road Traffic Accidents (RTAs) amounts to a serious public health crisis. The aim of the study was to determine the body parts most likely affected in an RTA in patients brought to Accident and Emergency (A&E) department of Jinnah Postgraduate Medical Centre (JPMC), the largest tertiary care hospital of Karachi. Method A descriptive cross-sectional study was done in January-March 2019 among 371 respondents aged 15-65 years. Study participants were recruited through non-probability convenience sampling. A structured questionnaire was used to collect data on sociodemographic variables and type, severity and nature of injury. Chi Square test was used to determine the significant difference between using safety precautions with body parts affected. All analysis was performed on SPSS version 20. Results Out of 371 study participants, 64.4% (n=239) were between 15-35 years with 91.9% (n=338) males. In 77.1% (n=286) cases, emergency medical services responded in less than one hour and first aid was provided by doctor to 95.7% (n=355) at hospital. In 82.5% (n=306) cases, private vehicles were involved, with 46.1% (n=171) motorcycles. In 79.8% (n=296) cases, bone injury was prevalent, with 57.1% (n=212) leg injuries, which was the most frequently affected body part. Majority, 56.2% of the study participants who did not wear seat belts had chest area affected (p=0.006).  Conclusion It is concluded that males of 15-35 years who were motorcyclists were more prone to RTAs with lower limbs more frequently being affected. Safety precautions like wearing seatbelts provide protection against RTAs.  

scholarly journals The relationship between shift work and sleep patterns in nurses

2013 ◽  
Vol 18 (3) ◽  
pp. 763-768 ◽  
Author(s):  
Milva Maria Figueiredo De Martino ◽  
Ana Cristina Basto Abreu ◽  
Manuel Fernando dos Santos Barbosa ◽  
João Eduardo Marques Teixeira
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Diary ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Work Habits ◽  
Significant Difference ◽  
Nighttime Sleep ◽  
The Relationship

The scope of this study was to evaluate the sleep/wake cycle in shift work nurses, as well as their sleep quality and chronotype. The sleep/wake cycle was evaluated by keeping a sleep diary for a total of 60 nurses with a mean age of 31.76 years. The Horne & Östberg Questionnaire (1976) for the chronotype and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality were applied. The results revealed a predominance of indifferent chronotypes (65.0%), followed by moderately evening persons (18.3%), decidedly evening persons (8.3%), moderately morning persons (6.6%) and decidedly morning persons (1.8%). The sleep quality perception was analyzed by the visual analogical scale, showing a mean score of 5.85 points for nighttime sleep and 4.70 points for daytime sleep, which represented a statistically significant difference. The sleep/wake schedule was also statistically different when considering weekdays and weekends. The PSQI showed a mean of 7.0 points, characterizing poor sleep quality. The results showed poor sleep quality in shift work nurses, possibly due to the lack of sport and shift work habits.

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