scholarly journals 0387 Effect of Air Pollution on the Quality of Sleep - Korean Nationwide Cross-Sectional Study

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A148-A148
Author(s):  
S Hong
Keyword(s):  
Air Pollution ◽  
South Korea ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Community Health Survey ◽  
Gyeonggi Province

Abstract Introduction Poor sleep quality is associated with adverse health outcomes, such as cardiovascular disease, diabetes and obesity. Several studies have indicated the association between exposure to air pollution and sleep quality. However, the evidence is very limited in South Korea. Methods We conducted a cross-sectional study using data from a nationwide sample of 165,193 individuals aged 19 years or older from the 2018 Korea Community Health Survey. Perceived air pollution was measured in the baseline survey. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Poor sleep quality was defined by the global score of PSQI > 5. The associations between perceived air pollution and sleep quality were examined using the regression models. Additionally, the average concentration of PM2.5 was measured in each region using a satellite-based prediction to see the association between perceived air pollution and long term exposure of fine dust. Results After adjusted for age, education, and income, the adjusted odds ratios (95% confidence interval) of poor sleep quality associated with perceived air pollution was 1.45. The average of daily concentrations of PM2.5 over 3 years was highest in Incheon area, followed by Seoul and Busan city. Among Gyeonggi Province, the most populous region in South Korea, the PM2.5 concentrations was the highest in Ansan. In each region in Korea, Incheon had the highest poor sleep quality rate of 48.0%, while Ansan in Gyeonggi Province had the highest rate of 61.5%. The results are in line with the distribution of PM2.5 concentrations by region. Conclusion Perceived air pollution and long term exposure of fine dust were associated with poor sleep quality in South Korea. Improvement of air quality may help to improve sleep quality. More studies are in need in the future to explore the biological mechanism for the relationship, and to also examine such relationship among different populations and in difference environments. Support For this study, we used raw data from the 2018 Korea Community Health Survey (KCHS), conducted by the Korea Centers for Disease Control and Prevention

scholarly journals A cross-sectional study of sleep and depression in a rheumatoid arthritis population

2020 ◽  
Author(s):  
Mark Hughes ◽  
Alan Chalk ◽  
Poonam Sharma ◽  
Sandeep Dahiya ◽  
James Galloway
Keyword(s):  
Rheumatoid Arthritis ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Comorbid Depression ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Rheumatoid Arthritis Population ◽  
Impaired Sleep

Abstract Objectives To assess the prevalence of impaired sleep quality and depression in a rheumatoid arthritis population and determine their correlation with Disease Activity Score (DAS) and its components. Methods In this single-centre observational cross-sectional study, data was collected by the assessing clinician for DAS28, age and gender in various treatment groups according to use of csDMARDs, biologics and long-term steroids. Presence of impaired sleep quality and depression was assessed by the Pittsburgh Sleep Quality Index (PSQI) and Public Health Questionnaire 9 (PHQ 9). Correlation for DAS and its components with the outcomes was determined by Pearson’s correlation coefficient. Multivariate analysis was performed by logistic regression. Results Two hundred patients were included. The prevalence across all subgroups of poor sleep quality and depression were 86.5% and 30%, respectively, with a correlation coefficient of 0.69 between the two and poor sleep quality amongst all RA patients with comorbid depression. Multivariate analysis found only subjective DAS components, tender joint count (TJC) and patient global health visual analogue score (VAS) to significantly correlate with both outcomes. Age inversely correlated with depression. Long-term steroid use was associated with poorer sleep quality, but there was no significant effect of csDMARDs or biologics. There was no significant difference in prevalence of depression amongst treatment subgroups. Conclusion Poor sleep quality and to a lesser extent depression are prevalent in the general rheumatoid arthritis population. Patients would benefit from clinicians measuring these outcomes routinely as they constitute a significant non-inflammatory burden of living with rheumatoid disease. Key Points• Subjective components of DAS independently correlate with sleep quality and depression, while objective components do not.• Poor sleep quality is highly prevalent in RA and present in all those with comorbid depression.• Poor sleep quality and depression incidence in RA are much lower when DAS is low or remission.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

scholarly journals Sleep Duration and Sleep Quality as Predictors of Health in Elderly Individuals

2018 ◽  
Vol 10 (11) ◽  
pp. 3918 ◽  
Author(s):  
Lovro Štefan ◽  
Vlatko Vučetić ◽  
Goran Vrgoč ◽  
Goran Sporiš
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Self Rated Health ◽  
Study Participants

The main purpose of the present study was to explore the associations of sleep duration and sleep quality with self-rated health. In this cross-sectional study, participants were 894 elderly individuals. Self-rated health, sleep duration, and sleep quality were self-reported. The associations were examined using multiple logistic regression analyses.After adjusting for sex, physical activity, smoking consumption, alcohol consumption, psychological distress, socioeconomic status, and chronic disease/s, sleeping <6 h (OR (Odds ratio) = 3.21; 95% CI (95 percent confident interval) 1.61 to 6.39), 6–7 h (OR = 2.47; 95% CI 1.40 to 4.36), 8–9 h (OR = 3.26; 95% CI 1.82 to 5.83), and >9 h (OR = 3.62; 95% CI 1.57 to 8.34) and having ‘poor’ sleep quality (≥5 points; OR = 2.33; 95% CI 1.46 to 3.73) were associated with ‘poor’ self-rated health. When sleep duration and sleep quality were entered simultaneously into the model, the same associations remained. Our findings provide evidence that both ‘short’ and ‘long’ sleep and ‘poor’ sleep quality are associated with ‘poor’ self-rated health. Thus, interventions that promote healthy sleep hygiene in the elderly are warranted.

Serotonin variations and sleep disorders among shift workers. A cross-sectional study

2021 ◽  
pp. 074823372110331
Author(s):  
Rehab Shehata Abdelhady Shehata ◽  
Zeinab Ahmed Mohamed Nour ◽  
Amul Mohamed Abdelrahim Badr ◽  
Eman Mahmoud Khalifa
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Serotonin Level ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Shift Workers ◽  
Blood Serotonin

Sleep disorders are prevalent occupational health problems among shift workers, especially healthcare workers with long shifts. Serotonin is a neurotransmitter related to circadian variations accompanied by shift work. A cross-sectional study was performed on 73 nurses at a tertiary hospital in Cairo, Egypt, to assess sleep quality among shift work nurses (SWNs), to determine blood serotonin level, and its relation to shift work and sleep quality. A demographic and occupational history questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and measurement of blood serotonin were carried out to the studied group. The data were analyzed using SPSS 25, and descriptive statistics, unpaired t-test, ANOVA, Kruskal–Wallis Test, Chi-square, Spearman correlation, and multivariate regression analysis were utilized. The results showed that the mean PSQI global score was significantly higher among SWNs than non-shift work nurses (NSWNs) and was the highest (10.32 ± 3.56 and 10.22 ± 2.4, respectively) among rotatory and fixed night shift nurses. Blood serotonin showed highly significant differences between SWNs over NSWNs ( p = 0.001), and mostly reduced among rotatory and fixed night shift nurses (66.7% and 65%, respectively). Moreover, there were highly significant differences in serotonin levels between poor and good sleep quality nurses ( p < 0.001), and most of the poor sleep quality nurses (62.7%) had low serotonin levels. Abnormal serotonin level (odds = 246.5) and working years (odds = 1.2) were statistically significant predictors of poor sleep quality. In conclusion, SWNs, especially rotating and night shift nurses, suffer from poor sleep quality associated with abnormal levels of blood serotonin.

scholarly journals The quality and characteristics of sleep of hypertensive patients

2015 ◽  
Vol 49 (4) ◽  
pp. 0596-0602 ◽  
Author(s):  
Juliét Silveira Hanus ◽  
Graziela Amboni ◽  
Maria Inês da Rosa ◽  
Luciane Bisognin Ceretta ◽  
Lisiane Tuon
Keyword(s):  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Registration System ◽  
Hypertensive Patients

OBJECTIVEAnalyzing the quality of sleep of hypertensive patients registered in the national registration system and monitoring of hypertensive patients.METHODSA cross-sectional study of quantitative and descriptive analyses with 280 hypertensive patients registered in the National Program of Hypertension and Diabetes of the Federal Government in the months from August to October 2011. Questionnaires were used which allowed for tracking sociodemographic data on hypertension and Pittsburgh Sleep Quality Index (PSQI).RESULTSThe prevalence of poor sleep quality among respondents (156 hypertensive patients) and high rates of using medication for sleeping (106 hypertensive patients) was observed. Other relevant data refers to the quality of sleep among hypertensive patients using sleep medication compared to those who do not use it (p≤0.01).CONCLUSIONIndividuals with high blood pressure have a negative association with sleep quality.

scholarly journals Sleep Quality and Associated Factors among Peoples with Epilepsy Who Have a Follow-Up at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2019: An Institutional Based Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Kemeriya Adem ◽  
Tilahun Kassew ◽  
Addis Birhanu ◽  
Ayalew Abate
Keyword(s):  
Sleep Quality ◽  
Associated Factors ◽  
Addis Ababa ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Specialized Hospital

Background. Sleep is an active cyclic biological phenomenon and necessary for survival. Individuals who suffer from sleep disturbance are less productive, decreased performance, and negative effects on mental health. Despite there are different studies on sleep quality in Ethiopia, no studies have been conducted on magnitude and predictors of sleep quality among people with epilepsy in the study setting. Objective. To assess sleep quality and associated factors among people with epilepsy who have a follow-up at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2019. Method. An institution-based cross-sectional study was employed from May-June 2019. Systematic random sampling following face to face interview technique was employed. Epi-data version 3.1 and SPSS version 25 statistical packages were used for data entry and analysis, respectively. Frequencies, proportions, means, SDs, and cross-tabulations were used to summarize descriptive statistics of the data and tables, texts, and graphs were used for data presentation. To identify association and significant predictor with the outcome variable, binary logistic regression was fitted. The variable which has statistical significance was identified on the basis of p values ≤ 0.05 and AOR with 95% confident intervals. Results. A total of 423 participants have been enrolled to the study with a response rate of 98.1%. The prevalence of poor sleep quality among peoples live with epilepsy was found 65.4% (95% CI: 61.0, 69.9). Being female (AOR=2.94; (95% CI; 1.79, 4.85)), having stress full life events (AOR=2.38; (95% CI; 1.43, 3.97)), nonadherent to AED medication (AOR=1.86; (95% CI; 1.05, 2.78), poly-therapy treatment (AOR=2.24; (95% CI; 1.05, 2.78)), poor seizer control (AOR=2.4; (95% CI; 2.21, 12.46)), comorbid medical illness (AOR=2.6; (95% CI; 1.18, 5.61)), and anxiety (AOR=2.54; (95% CI; 1.52,4.24)) were factors significantly associated with poor sleep quality. Conclusion. This study revealed that more than half of the study participants were found to have poor sleep quality. So, considering the regular assessment of sleep quality and factors associated followed with appropriate intervention is recommended among peoples living with epilepsy.

scholarly journals Hypertension Associated with Poor Sleep Quality in The Elderly Population in Batu City

2021 ◽  
Vol 5 (2) ◽  
pp. 65-72
Author(s):  
Siti Roziah Ria Famuji ◽  
Abdul Malik Setiawan ◽  
Achdiat Agoes
Keyword(s):  
Blood Pressure ◽  
Sleep Quality ◽  
Adult Population ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Chi Square ◽  
Geriatric Population ◽  
Cross Sectional

Hypertension affects approximately 26% of the adult population and it is a leading cause of death in up to 13.5% worldwide. Hypertension is a disease with the highest prevalence in Indonesia, so good treatment and prevention are needed. Several studies suggest that there is a correlation between hypertension risk factors and the disturbance of sleep quality. Therefore, it is necessary to develop preventive and promotive efforts to obtain optimum blood pressure in patients with hypertension to avoid complications or even death. This study aims to find out the correlation between sleep quality and the value of blood pressure in the elderly ?60 years old in Batu City. A cross-sectional study was conducted in Batu City in 2020. Stratified random sampling was performed to select the respondents. A validated PSQI questionnaire and sphygmomanometer were used to assess sleep quality and blood pressure, respectively. A Chi-Square test was used to test the hypothesis. There were 391 respondents involved in this study. Most of the respondents have poor sleep quality, 205 respondents (52,43%) of which 41 respondents (20%) have normal blood pressure, and 164 respondents (80%) have high blood pressure. The statistical analysis shows a significant correlation (p=0,000) between sleep quality and blood pressure. In conclusion, hypertension is associated with poor sleep quality in the geriatric population in Batu City.

scholarly journals Psychological Distress Induces Poor Sleep Quality: A Cross-Sectional Study of Pharmacy Students in Bandung City, Indonesia

2018 ◽  
Vol 11 (1) ◽  
pp. 369-375 ◽  
Author(s):  
Sofa D. Alfian ◽  
Henry Ng ◽  
Dika P. Destiani ◽  
Rizky Abdulah
Keyword(s):  
Psychological Distress ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Subjective Sleep

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.

scholarly journals Poor Sleep Quality in Nurses Working or Having Worked Night Shifts: A Cross-Sectional Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Qiao Huang ◽  
Chong Tian ◽  
Xian-Tao Zeng
Keyword(s):  
Sleep Quality ◽  
Clinical Care ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Consecutive Night ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Night Shifts

Night shifts are part of clinical care. It is unclear whether poor sleep quality of nurses working both consecutive night shifts and day shifts after quitting night shifts is common. In this cross-sectional study, Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality as study outcome. Univariable and multivariable linear and logistic regressions were performed to compare PSQI score and prevalence of poor sleep quality between 512 nurses currently working consecutive night shifts and 174 nurses having worked night shifts in the past. The prevalence of poor sleep quality was 62.11% in nurses working consecutive night shifts and 55.75% in nurses having worked night shifts before. In multivariable regressions with adjustment for potential confounders, compared with nurses working consecutive night shifts, nurses having worked past night shifts reported decreased PSQI score [mean difference: −0.82 (95% CI: −1.27 to −0.38, p &lt; 0.001)] and lower poor sleep quality [odds ratio (OR): 0.49 (95% CI: 0.29 to 0.80, p = 0.005)]. In nurses working consecutive night shifts, a rising curve that plateaued at the end was observed between years of consecutive night shifts and PSQI score, p = 0.004. To explore the change in PSQI score after quitting night shift, we constructed a hypothetical prospective cohort from the cross-sectional data. Here, 98 pairs of nurses with consecutive and past night shifts were matched for the number of night shift years, religion, marital status, living condition, hypertension, and hyperlipidemia. In each pair, a hypothetical change in PSQI score was calculated between the two types of nurses and hypothetical years after quitting night shifts was obtained from the matched nurse with past night shifts. A U-shaped curve between change in PSQI and years after quitting night shifts was observed, p = 0.007. The rising curve and U-shaped curve together formed an S-shaped curve, which mapped the change in sleep quality. These results based on the hypothetical cohort constructed from cross-sectional data suggested the presence of persistent poor sleep quality in night shift nurses. Also, we support early and continuous sleep hygiene education and reflection for an optimal strategy for when to cease working night shifts with regard to sleep-related problems.

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