Serum Kynurenines Correlate With Depressive Symptoms and Disability in Poststroke Patients: A Cross-sectional Study

2020 ◽  
Vol 34 (10) ◽  
pp. 936-944 ◽  
Author(s):  
Paul Carrillo-Mora ◽  
Verónica Pérez-De la Cruz ◽  
Berenice Estrada-Cortés ◽  
Paola Toussaint-González ◽  
José Antonio Martínez-Cortéz ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Barthel Index ◽  
Depression Scale ◽  
Functional Independence ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Potential Marker

Background Poststroke depression (PSD) is related to adverse functional and cognitive prognosis in stroke patients. The participation of kynurenine pathway metabolites in depression has been previously proposed; however, there are few studies on its role in PSD and disability in stroke. Objective To investigate if there is a correlation between serum kynurenines levels with poststroke anxiety and depression symptoms and disability scales. Methods A cross-sectional case-control study was conducted in patients with first stroke, of >1 month and <1 year of evolution, with no history of previous psychiatric or neurological disorders; the Hospital Anxiety and Depression Scale (HADS), Montreal Cognitive Assessment (MoCA), functional evaluations (Barthel index, Functional Independence Measure [FIM]) were applied and serum kynurenines (Kyns) were determined. Results Sixty patients were included; significant depressive symptoms were found in 63% of the cases; a significant and positive correlation was obtained between levels of 3-hydroxykynurenine (3-HK) with HADS-T ( r = 0.30, P = .025) and HADS-D ( r = 0.28, P = .039). Depressed patients showed significantly higher levels of 3HK ( P = .048) and KYNA ( P = .0271) than nondepressed patients; the 3HK levels were inversely correlated with functional scales: Barthel index ( r = −0.31, P = .02), FIM ( r = −0.40, P = .01); in addition, serum 3HK levels were significantly higher in patients with poor sleep quality ( P = .0190). Conclusions Serum Kyns show correlation with the presence and severity of depressive symptoms and with the disability and sleep quality. Kyns may be a potential marker of depression risk and disability in stroke in future.

Sleep disorders, depression and anxiety among medicine university students in Sfax

2016 ◽  
Vol 33 (S1) ◽  
pp. s268-s269
Author(s):  
M. Moalla ◽  
M. Maalej ◽  
C. Nada ◽  
R. Sellami ◽  
J. Ben Thabet ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Depressive Disorders ◽  
Depression Scale ◽  
Tunisian Population ◽  
Anxiety And Depression ◽  
Average Score ◽  
Poor Sleep ◽  
Depression And Anxiety ◽  
Cross Sectional

IntroductionSleep symptoms, depression and anxiety often coexist and tertiary students are a population group that are increasingly recognised to be at risk. However the rates of these conditions in the tunisian population are poorly understood.AimThe aim of this study was to evaluate sleep quality among medicine students during exam periods and identify correlations with anxiety and depression.MethodsThis is a descriptive and analytical cross-sectional study. It involved students of medicine University of Sfax during the period of exams. Each student filled out demographic questionnaire, the Pittsburgh Sleep Quality Index (PSQI) to assess the quality of sleep and Hospital Anxiety and Depression scale (HAD) to screen for anxiety and depressive disorders.ResultsThe average age was 22.27 years. The sex ratio M/F was 0.66. The students were single in 96.7% of cases. The average score of PSQI was 6.67 ± 3.23. According to the PSQI, 53.3% of students had poor sleep quality. The anxiety score ranged from 0 to 7 with an average of 8.37. The depression score ranged from 0 to 16 with an average of 7.47. Anxiety and depressive symptoms were present in 26.7% of students. The PSQI score was significantly correlated with anxiety (p <0.01) and depression scores (P = 0.019).ConclusionAnxiety and depressive symptoms are common among students during exam periods. They are associated with poor quality sleep. The establishment of a helpline for students during exam time, with psychologists and psychiatrists, would help them better manage this difficult period.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Prevalence and Influencing Factors of Anxiety and Depression Symptoms Amongst Surgical Nurses During COVID-19 Pandemic: A Large-Scale Cross-Sectional Study

2020 ◽  
Author(s):  
Chun-Xia Ren ◽  
De-Cun Zhou ◽  
Yin-Guang Fan ◽  
Bao-Zhu Li ◽  
Wan-Fei Zhang ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Influencing Factors ◽  
Rating Scale ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Cross Sectional ◽  
Self Rating ◽  
Surgical Nurses

Abstract BackgroundThe outbreak of novel 2019 coronavirus disease (COVID-19) has imposed an enormous physical and psychological pressure on people across the world. This study focused on evaluating the prevalence and influencing factors of anxiety and depression symptoms in surgical nurses during the epidemic in China. MethodA cross-sectional, multicenter quantitative study was conducted in Anhui province (China) from March 3, 2020 to March 19, 2020, with a questionnaire package which consisted of general information questionnaire，Zung's self-rating anxiety scale (SAS), Zung's self-rating Depression Scale (SDS) and social support rating scale (SSRS). A total of 3600 surgical nurses participated in the survey by Wechat and QQ. Data were analysed using multiple linear regression models. ResultsA total of 3492 surgical nurses from 12tertiary hospitals and 12 secondary hospitals in one province of mainland China completed the survey. The prevalence rates of anxiety symptoms and depressive symptoms were 24.83% and 22.39%, respectively. The average level of anxiety and depression of surgical nurses were higher than that of the Chinese norm (P< 0.05).Levels of social support for surgical nurses were significantly negatively associated with the degree of anxiety (r = -0.630, P < 0.001) and depression (r = -0.578, P < 0.001). Fertility status (β = 1.469, P = 0.003), hospital (β = -0.611, P < 0.001), participation in care for COVID-19 patients (β = 2.229, P < 0.001), likelihood of being infected with COVID-19 (β = 1.146, P < 0.001), social support (β = -0.623, P < 0.001) were significantly influencing surgical nurses’ anxiety degree. Similarly, these characteristics were significantly associated with the odds of experiencing depression symptoms in surgical nurses. Divorce and widowed surgical nurses (β = -2.654, P < 0.001) were significantly more likely to experience depressive symptoms than single nurses. ConclusionIn this survey, we found that the surgical nurses had high anxiety and depression symptoms during the COVID-19 outbreak in China. The findings suggest that targeted psychological interventions to promote the mental health of surgical nurses with psychological problems need to be immediately implemented.

scholarly journals Health status, resilience and quality of life of first and fourth year nursing students

2019 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Rodrigo Marques da Silva ◽  
Ana Lucia Siqueira Costa ◽  
Fernanda Carneiro Mussi ◽  
Fernanda Michelle Santos e Silva ◽  
Keila Cristina Félis ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Nursing Education ◽  
Depressive Symptoms ◽  
Health Status ◽  
Nursing Students ◽  
Sleep Quality ◽  
Depression Scale ◽  
Poor Sleep ◽  
Cross Sectional

Objective: To compare the health status (stress, depressive symptoms and sleep quality), the resilience and quality of life in first and fourth year nursing students.Methods: This is a cross-sectional research conducted in 2016 with 86 students enrolled in first and fourth years of the nursing degree. We applied the instrument for Assessment of Stress in Nursing Students, the Center for Epidemiologic Studies Depression Scale, Pittsburg Sleep Quality Index, Wagnild and Young’s Resilience Scale; and the WHOQOL-BREF. ANOVA (Test F) was applied for data analysis.Results and conclusions: A total of 49 first-year and 37 fourth-year students were sampled for this study. Fourth- year nursing students showed higher levels of stress, lower intensity of depressive symptoms and higher quality of life and resilience levels. The poor sleep quality was prevalent in both groups. Conclusion: although the nursing education potentially contributes for students’ sickness, the experiences lived in this period may strength the resilience skills.Conclusions: Video indexing and retrieval are accomplished by using hashing and $k$-d tree methods, while visual signatures containing color, shape and texture information are estimated for the key-frames, by using image and frequency domain techniques. Experimental results with the dataset of a multimedia information system especially developed for managing television broadcast archives demonstrate that our approach works efficiently, retrieving videos in 0.16 seconds on average and achieving recall, precision and F1 measure values, as high as 0.76, 0.97 and 0.86 respectively.

scholarly journals Determinants of increased frequency of depressive and anxiety symptoms in exercise professionals during the COVID-19 pandemic

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Natan Feter ◽  
Eduardo L. Caputo ◽  
Igor R. Doring ◽  
Marcelo C. da Silva ◽  
Felipe F. Reichert ◽  
...  
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Depression Scale ◽  
Exercise Program ◽  
Anxiety Symptoms ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Depression And Anxiety ◽  
Cross Sectional ◽  
Social Distancing

BACKGROUND: The coronavirus disease (COVID-19) pandemic has affected workers in different health services including exercise professionals (EP). The urgent need to adapt in-person to online activities might have led to increased frequency of anxiety and depressive symptoms. OBJECTIVE: We aimed to identify the determinants of aggravated depressive and anxiety symptoms in EP in southern Brazil during social distancing from the COVID-19. METHODS: A cross-sectional study was conducted with EP who worked at fitness centers, sports clubs, private schools, or at a public exercise program offered by the municipal council. We used an online-based, self-administered, adapted version of the Hospital Anxiety and Depression scale to compare symptoms of depression and anxiety pre- and during social distancing. RESULTS: Participants (n = 201) had a mean age of 32.7±8.0 years, with more than half being male, white, and having an university degree. We observed that 81%and 71%of respondents reported higher frequency in anxiety and depression symptoms, respectively, during social distancing than in the period before it. Physical education teachers, women, non-white professionals, and those with chronic disease were more likely to worsen anxiety symptoms. Women had higher odds to increased frequency in depressive symptoms. Physical activity and previous experience with internet-based tools for working activities reduced the risk of increased depressive symptoms. CONCLUSIONS: Sex, ethnicity, chronic diseases, educational level, physical activity, and experience with online tools were determinants for increased frequency of depression and anxiety symptoms in EP.

scholarly journals Depression Symptoms and Sleep Quality during COVID-19 Outbreak in Iran: A National Cross-Sectional Study

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Samaneh Torkian ◽  
Elham Akhlaghi ◽  
Vahid Khosravi ◽  
Reza Etesami ◽  
Ali Ahmadi ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Economic Status ◽  
Depression Scale ◽  
World Health ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
History Of ◽  
History Of Depression

Background: Coronavirus 2019 is a new infectious disease that has been declared by the World Health Organization as a global pandemic. This pandemic may have psychological effects on populations. Objectives: This study aimed to investigate the quality of sleep and depression in the Iranian community during COVID-19 pandemic. Methods: This nationwide cross-sectional web-based study was conducted from April 19 to May 12, 2020 in Iran. The data collection tools were the Pittsburgh Sleep Quality Index and Depression Center for Epidemiologic Studies’ Depression Scale questionnaires. Each province in Iran was assumed as a cluster, and generalized estimating equations models were used to determine the demographic variables that were related to depression symptoms and sleep quality during COVID-19 outbreak Results: In this study, 73.5% and 41.4% of the participants had poor sleep quality and had depression symptoms, respectively. Perceived income, hours spent outdoors, the number of people with COVID-19 that were acquainted with, and a history of depression significantly were related to sleep quality. Also, gender, age, having a child, education level, economic status, and a history of depression were significantly associated with having depression symptoms. Conclusions: Most participants had poor sleep quality, and less than half had depression symptoms during the COVID-19 pandemic. These problems can disturb daily routines, cut social ties, and increase worries and fears of the future. Interventions are necessary to reduce psychological problems for Iran.

scholarly journals Sleep disturbance among frontline nurses during the COVID-19 pandemic

2021 ◽  
Author(s):  
Mohammed Al Maqbali
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Depression Scale ◽  
Disease Outbreaks ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality

AbstractThe main objective of this study is to assess the prevalence of sleep disturbance and related psychological factors (stress, anxiety and depression) among frontline nurses in Oman during the COVID-19 pandemic. A cross-sectional and descriptive correlational design using Qualtrics® software was used in this research. Data were collected using the Pittsburgh Sleep Quality Index (PSQI), the Hospital Anxiety and Depression Scale (HADS) and the Perceived Stress Scale (PSS). Logistic regression was performed to identify factors associated with poor sleep quality. Of the 987 frontline nurses who participated, 58.8% (n = 580) reported poor sleep quality. In an examination of PSQI components the mean sleep duration was 7.04 (SD = 1.59) hours per night, and the sleep latency mean was 38.18 min (SD = 31.81). Poor sleep (p < .05) was significantly associated with age, marital status, years of experience, comorbidity, and whether family members or relatives were suspected or confirmed with having COVID-19. Logistic regression showed that poor quality of sleep was significantly associated with stress, anxiety and depression symptoms. Sleep disturbance is a significant problem for frontline nurses working in Oman during the COVID-19 pandemic. Appropriate interventions to maintain the health conditions and reduce sleep disturbance among frontline nurses are needed in order to help support nurses’ work during contagious disease outbreaks. These can be implemented through online workshops and training to enhance nurses’ responses to the pandemic or to any further disease outbreaks.

scholarly journals Fatigue, anxiety, depression and sleep quality in patients undergoing haemodialysis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zakariya Al Naamani ◽  
Kevin Gormley ◽  
Helen Noble ◽  
Olinda Santin ◽  
Mohammed Al Maqbali
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Hospital Anxiety ◽  
Cross Sectional ◽  
Correlational Design ◽  
Anxiety Depression

Abstract Objective Patients undergoing haemodialysis may experience troubling symptoms such as fatigue, anxiety, depression and sleep quality, which may affect their quality of life. The main objective of this study is to determine the prevalence of fatigue, anxiety, depression and sleep quality among patients receiving haemodialysis during the coronavirus disease 2019 (COVID-19) pandemic, and to explore the contributing predictors. Methods A cross-sectional and descriptive correlational design using Qualtrics software was performed. Data were collected using the Functional Assessment of Cancer Therapy-Fatigue (FACT-F), the Hospital Anxiety and Depression Scale (HADS) and the Pittsburgh Sleep Quality Index (PSQI). Logistic regression analyses were used to explore the predictors that were associated with fatigue, anxiety, depression and sleep quality. Results Of the 123 patients undergoing haemodialysis who participated, 53.7% (n = 66) reported fatigue, 43.9% (n = 54) reported anxiety, 33.3% (n = 41) reported depression and 56.9% (n = 70) reported poor sleep. Fatigue, anxiety and sleep quality (P < .05) were significantly associated with being female, and whether family members or relatives were suspected or confirmed with COVID-19. Logistic regression showed that being within the age group 31–40, having a secondary education level, anxiety, depression and sleep quality were the main predictors affecting the fatigue group. Conclusion Fatigue, anxiety, depression and sleep quality are significant problems for patients receiving haemodialysis during the COVID-19 pandemic. Appropriate interventions to monitor and reduce fatigue, psychological problems and sleep quality amongst these patients are needed. This can help to strengthen preparations for responding to possible future outbreaks or pandemics of infectious diseases for patients receiving haemodialysis.

scholarly journals Effect of COVID-19 Quarantine on the Sleep Quality and the Depressive Symptom Levels of University Students in Jordan During the Spring of 2020

2021 ◽  
Vol 12 ◽  
Author(s):  
Heba Saadeh ◽  
Maha Saadeh ◽  
Wesam Almobaideen ◽  
Assem Al Refaei ◽  
Nour Shewaikani ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Depression Scale ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Online Questionnaire ◽  
Cross Sectional

Objectives: This study was designed to assess the effect of COVID-19 home quarantine and its lifestyle challenges on the sleep quality and mental health of a large sample of undergraduate University students in Jordan. It is the first study applied to the Jordanian population. The aim was to investigate how quarantine for several weeks changed the students' habits and affected their mental health.Methods: A cross-sectional study was conducted using a random representative sample of 6,157 undergraduate students (mean age 19.79 ± 1.67 years, males 28.7%) from the University of Jordan through voluntarily filling an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) and the Center for Epidemiologic Studies-Depression Scale (CES-D) were used to assess sleep quality and depressive symptoms, respectively.Results: The PSQI mean score for the study participants was 8.1 ± 3.6. The sleep quality of three-quarters of the participants was negatively affected by the extended quarantine. Nearly half of the participants reported poor sleep quality. The prevalence of poor sleep quality among participants was 76% (males: 71.5% and females: 77.8%). Similarly, the prevalence of the depressive symptoms was 71% (34% for moderate and 37% for high depressive symptoms), with females showing higher prevalence than males. The overall mean CES-D score for the group with low depressive symptoms is 9.3, for the moderate group is 19.8, while it is 34.3 for the high depressive symptoms group. More than half of the students (62.5%) reported that the quarantine had a negative effect on their mental health. Finally, females, smokers, and students with decreased income levels during the extended quarantine were the common exposures that are significantly associated with a higher risk of developing sleep disturbances and depressive symptoms.Conclusions: Mass and extended quarantine succeeded in controlling the spread of the COVID-19 virus; however, it comes with a high cost of potential psychological impacts. Most of the students reported that they suffer from sleeping disorders and had a degree of depressive symptoms. Officials should provide psychological support and clear guidance to help the general public to reduce these potential effects and overcome the quarantine period with minimum negative impacts.

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

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.

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