scholarly journals Association Between Pittsburgh Sleep Quality Index and Depressive Symptoms in Chinese Resident Physicians

2021 ◽  
Vol 12 ◽  
Author(s):  
Qing Chang ◽  
Yang Xia ◽  
Song Bai ◽  
Xi Zhang ◽  
Yashu Liu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Resident Physicians ◽  
Before And After

Background: Previous studies have suggested that sleep quality is associated with depressive symptoms. However, associations between overall sleep quality and depressive symptoms in Chinese resident physicians remain unclear. Therefore, we aimed to determine whether overall sleep quality is associated with depressive symptoms in Chinese resident physicians.Methods: This cross-sectional study included 1,230 resident physicians. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was applied to estimate the associations between the PSQI and PHQ-9.Results: Among all participants, the prevalence of mild (PHQ-9 ≥ 5) and moderate or severe (PHQ-9 ≥ 10) depressive symptoms were 48.28 and 12.93%, respectively. PSQI score was positively associated with PHQ-9 score before and after adjustments of socio-demographic, behavioral, and psychologic confounding factors (all P < 0.0001). After adjustments, the regression coefficients (standard error) between PSQI scores and PHQ-9 scores were 0.95 (0.04), 0.88 (0.09), and 0.96 (0.05) in all participants, men, and women, respectively. Compared to physicians with good sleep quality (PSQI scores ≤ 5), the adjusted odds ratios (ORs) [95% confidence intervals (CIs)] for mild (PHQ-9 ≥ 5) and moderate or severe (PHQ-9 ≥ 10) depressive symptoms in physicians with poor sleep quality were 7.15 (5.44, 9.46) and 6.17 (4.03, 9.71) in all participants, respectively.Conclusions: Our findings suggest that poor sleep quality was associated with a higher prevalence of depressive symptoms in Chinese resident physicians.

scholarly journals Premenstrual Syndrome as a Sleep Disturbing Factor: A Cross-Sectional Study

Acta Medica ◽  
2021 ◽  
Vol 52 (2) ◽  
pp. 59-65
Author(s):  
Övsen Önay ◽  
Canset Aydın
Keyword(s):  
Sleep Quality ◽  
Premenstrual Syndrome ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Coffee Intake ◽  
Cross Sectional

Objective: To evaluate the lifestyle factors possibly related with premenstrual syndrome which were body mass index, coffee intake, smoking, regular physical exercise, and alcohol consumption, and investigate the impact of these lifestyle factors and premenstrual syndrome on sleep quality. Methods and Methods: This cross-sectional study included 265 participants, and all applied Pittsburgh Sleep Quality Index and Premenstrual Syndrome Scale questionnaires. Results: The prevalence of premenstrual syndrome among the participants was 57% (n:150). Participants with premenstrual syndrome had shorter total sleep time (p:0.001). Also, they needed longer time to fall asleep (p:0.001). The Pittsburgh Sleep Quality Index scores of the participants with premenstrual syndrome were higher than those without premenstrual syndorme (p<0.001), indicating poor sleep quality. It was observed that the participants with premenstrual syndrome had more coffee intake (p:0.040) and more regular physical activity (p:0.009), which were risk factors of premenstrual syndrome. premenstrual syndrome positivity was associated with increased poor sleep quality in both univariate and multivariate analyses (OR:5.93 95% CI: 3.46-10.15, p<0.001; OR:5.61 95% CI: 3.19-9.88, p<0.001, respectively). The remaining variables, which were risk factors of premenstrual syndrome, didn’t have any statistically significant association with sleep quality. Conclusion: The important relation between premenstrual syndrome and sleep quality is highlighted. Relief of premenstrual syndrome complaints may lead to better sleep quality and enhancement of quality of life for a woman.

scholarly journals Association Between Modified Nordic Diet With Sleep Quality and Circadian Rhythm in Overweight and Obese Woman: A Cross Sectional Study

2021 ◽  
Author(s):  
ahmad mousavi ◽  
Atieh Mirzababaei ◽  
Farideh Shiraseb ◽  
Khadijeh Mirzaei
Keyword(s):  
Circadian Rhythm ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Nordic Diet

Abstract ObjectivePrevious studies have shown the association between diet quality and sleep quality. the objective of this study was to observe the association between modified Nordic diet with sleep quality and circadian rhythm in overweight and obese woman.MethodsWe enrolled 399 overweight and obese women (body mass index (BMI): 25-40 kg/m2) aged 18-48 years in cross-sectional study. For each participant anthropometric measurements, biochemical test and food intake were evaluated. Sleep quality and circadian rhythm was measured by Pittsburgh Sleep Quality Index (PSQI) and Morning Evening Questionnaire (MEQ) questionnaire. Modified Nordic diet score was measured using a validated 147-item food frequency questionnaire (FFQ).ResultsAmong all participants, Overall, 51.7% of the subjects were good sleepers (the Pittsburgh Sleep Quality Index (PSQI) < 5) while 48.3% were poor sleepers (PSQI ≥ 5). Moreover, participants were divided into 5 groups of MEQ namely, completely morning 8(2.4%), rarely morning 82(24.8%), normal 196(59.2%), rarely evening 43(13%), completely evening 2(0.6%). After controlling for confounder there was a significant association between the poor sleep quality and modified Nordic diet (OR=0.80, %95 CI=0.66-0.98, P=0.01). Moreover, a significant positive association was observed between the completely morning and modified Nordic diet (OR=1.80, %95 CI=0.54-6.00, P=0.03) and also a significant reverse association was observed between completely evening type and modified Nordic diet (OR=0.16, %95 CI=0.002-5.41, P=0.02).ConclusionsThe present study indicate that higher adherence to a modified Nordic diet decreases poor sleep quality. Also, the completely morning type associated with higher adherence to a modified Nordic diet and completely evening type associated with lower adherence to a modified Nordic diet.Levels of EvidenceLevel IV, evidence obtained from with multiple time series analysis.

scholarly journals SLEEP QUALITY IN PATIENTS WITH ACUTE MYOCARDIAL INFARCTION

2015 ◽  
Vol 24 (4) ◽  
pp. 1104-1111 ◽  
Author(s):  
Carla Renata Silva Andrechuk ◽  
Maria Filomena Ceolim
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Before And After ◽  
Improve Sleep Quality

ABSTRACT The aim of this study was to describe sleep quality and to identify associated factors in patients hospitalized with acute myocardial infarction. A descriptive and cross-sectional study was conducted with 113 patients (70.8% men, mean age 59.7 years). An instrument was used for sociodemographic and clinical characterization and the Pittsburgh Sleep Quality Index. Results showed that 71.7% of participants had poor sleep quality and over 64% slept six hours or less per night. The presence of diabetes mellitus, depression, and absence of physical activity contributed to increase the final score of the Pittsburgh Sleep Quality Index in about 2.5 points for each variable. The identification of sleep quality and proposals of interventions to improve sleep quality must be included in the actions of nurses in order to reduce harm to patients' health before and after the acute myocardial infarction episode.

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 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 The Epidemiology of Sleep Quality and Consumption of Stimulant Beverages among Patagonian Chilean College Students

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Juan Carlos Vélez ◽  
Aline Souza ◽  
Samantha Traslaviña ◽  
Clarita Barbosa ◽  
Adaeze Wosu ◽  
...  
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Beverage Consumption ◽  
Study Participants ◽  
Self Administered Questionnaire

Objectives. (1) To assess sleep patterns and parameters of sleep quality among Chilean college students and (2) to evaluate the extent to which stimulant beverage use and other lifestyle characteristics are associated with poor sleep quality.Methods. A cross-sectional study was conducted among college students in Patagonia, Chile. Students were asked to complete a self-administered questionnaire to provide information about lifestyle and demographic characteristics. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality. In addition, students underwent a physical examination to collect anthropometric measurements.Results. More than half of students (51.8%) exhibited poor sleep quality. Approximately 45% of study participants reported sleeping six hours or less per night and 9.8% used medications for sleep. In multivariate analysis, current smokers had significantly greater daytime dysfunction due to sleepiness and were more likely to use sleep medicines. Students who reported consumption of any stimulant beverage were 1.81 times as likely to have poor sleep quality compared with those who did not consume stimulant beverages (OR:1.81, 95% CI:1.21–2.00).Conclusions.Poor sleep quality is prevalent among Chilean college students, and stimulant beverage consumption was associated with the increased odds of poor sleep quality in this sample.

scholarly journals Association of sociodemografic factors and sleep quality in brazilian university students

2014 ◽  
Vol 23 (1) ◽  
pp. 176-184 ◽  
Author(s):  
Márcio Flávio Moura de Araújo ◽  
Adman Câmara Soares Lima ◽  
Thiago Moura de Araújo ◽  
Vivian Saraiva Veras ◽  
Maria Lúcia Zanetti ◽  
...  
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Linear Trends

The aim of this study was to analyze relationship between sociodemographic factors and poor sleep quality in Brazilian university students. Cross-sectional study, surveyed 701 students in Fortaleza, Ceará, Brazil. We applied a questionnairre with sociodemographic questions and Pittsburgh Sleep Quality Index. We did not identify associations and/or statistically significant linear trends between sleep quality and sociodemographic analyzed factors. However, the analysis found that the relative risk in college aged > 31 years, in those who lived alone and with relatives (other than parents) there is greater vulnerability to poor sleep quality.

scholarly journals Association of the Pattern and Quality of Sleep with Consumption of Stimulant Beverages, Cigarette and Alcohol among Medical Students

2020 ◽  
Vol 18 (3) ◽  
pp. 379-385
Author(s):  
Sunil Bogati ◽  
Tulika Singh ◽  
Sagar Paudel ◽  
Baikuntha Adhikari ◽  
Dharanidhar Baral
Keyword(s):  
Sleep Quality ◽  
Undergraduate Students ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Health Sciences ◽  
Alcoholic Beverages ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Sleep Parameters

Background: Sleep is important in maintenance of proper functioning of both mental and physical functions of human body. Studies have shown there is impact on the sleep parameters with the use of caffeine, cigarette and alcohol. As there is little availability of similar studies here in Nepal, we made an attempt to know the relation of consumption of such substances with the sleep quality and sleep parameters as per Pittsburgh Sleep Quality Index scale.  Methods: A cross sectional study was conducted among the undergraduate students at BP Koirala Institute of Health Sciences, Dharan. Students were asked to complete a self- administered questionnaire to give information about demographic variables and habit of consumption of caffeinated beverages, cigarette and alcohol. The Pittsburgh Sleep Quality Index was utilized after the permission from authority to evaluate sleep quality. Results: Out of 350, almost half of the students (44.6%) had poor sleep quality. 40.8% students reported sleeping six hours or less per night and 10.1% used medications to sleep. 96% reported consuming caffeinated beverages, 20% consumed cigarettes and 38.3% consumed alcoholic beverages. There was significant association of poor sleep quality with the increased consumption caffeine, cigarette and alcohol (p<0.05). Conclusions: Poor sleep is prevalent among the undergraduate students of B P Koirala Institute of Health Sciences and the consumption of caffeine, cigarette and alcohol is associated with increment in poor sleep quality among them. Keywords: Caffeinated beverages; pittsburgh sleep quality index

An assessment of mental health and its associated factors in Indian population during COVID-19 crisis: A cross sectional study (Preprint)

2020 ◽  
Author(s):  
Dr. Laxmi Verma ◽  
Shailendra Chhonkar
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Indian Population ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
High Anxiety ◽  
Cross Sectional

BACKGROUND India has seen a tremendous surge in COVID-19 cases since past few months. This unpredictable disease has threatened people’s mental health as much as their physical health. OBJECTIVE To assess the burden of mental health amid this pandemic, we conducted a cross-sectional study in Indian population. We also assessed the predictors of mental health burden. METHODS A cross-sectional, web based study was adopted using the snowball sampling method. Participants were invited to fill a validated questionnaire that assessed the demographic characteristics, Knowledge of Covid-19, quality of sleep (PSQI), generalized anxiety disorder (GAD) and depressive symptoms (CES-D). RESULTS Findings in our study revealed that participants were having high Anxiety (43.6%), depressive symptoms (43.8%) and poor sleep quality (56.2%). Multivariable logistic regression analysis suggested that people ≥35 years were prone to have GAD, depressive symptoms and poor sleep quality. Healthcare workers were at higher risk to develop anxiety, depressive symptoms and inferior quality of sleep (P<.000) compared to the other occupations. Females tend to have high anxiety and depression (P<.000). Additionally, People having poor understanding about Covid-19 had more sleep related problems. CONCLUSIONS The study findings indicated that the Indian population amid Covid-19 crisis reported to have high anxiety, depressive symptoms and poor sleep quality. Government needs to devise a comprehensive, effective and efficient action plan to address this probing issue.

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