scholarly journals Sleep Quality and Psychological Status in a Group of Italian Prisoners

2020 ◽  
Vol 17 (12) ◽  
pp. 4224
Author(s):  
Giulia D’Aurizio ◽  
Angelica Caldarola ◽  
Marianna Ninniri ◽  
Marialucia Avvantaggiato ◽  
Giuseppe Curcio
Keyword(s):  
Sleep Quality ◽  
Psychological Status ◽  
Anxiety State ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Stressful Situation ◽  
Sleep Habits ◽  
Poor Sleep Quality ◽  
Medium Security ◽  
Insomnia Complaints

Prison could be considered a prolonged stressful situation that can trigger not only a dysregulation of sleep patterns but can also bring out psychiatric illness, such as anxiety and depression symptoms. Our study is aimed at exploring sleep quality and sleep habits in an Italian prison ward with three different security levels, and to attempt to clarify how anxiety state and the total time spent in prison can moderate insomnia complaints. There were 129 participants divided into three groups who enrolled in this study: 50 were in the medium-security prison ward (Group 1), 58 were in the high-security prison ward (Group 2) and 21 were in the medium-security following a protocol of detention with reduced custodial measures (Group 3). All participants filled in a set of questionnaires that included the Beck Depression Inventory (BDI-2), the State-Trait Anxiety Inventory (STAI), the Pittsburgh Sleep Quality Index (PSQI), and the Insomnia Severity Index (ISI). Based on their responses, we observed that all participants showed poor sleep quality and insomnia, mild to moderate depressive symptoms that tended to a higher severity in Groups 1 and 3, and the presence of clinically significant anxiety symptoms, mainly in Groups 1 and 3. Our study shows that increased anxiety state-level and the presence of mood alteration corresponds to an increase in both poor sleep quality and, more specifically, insomnia complaints. Finally, we propose that TiP (total time in prison) could have an interesting and stabilizing paradox-function on anxiety state and insomnia.

scholarly journals Effects of COVID-19 2021 lockdown on the sleep quality and mental health of undergraduate medical and dental students of Pakistan: A cross-sectional study.

2021 ◽  
Author(s):  
Naveen Siddique Sheikh ◽  
Aiza Anwar ◽  
Iqra Pervaiz ◽  
Zunaira Arshad ◽  
Huma Saeed Khan ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Dental Students ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

Background and objectives: The COVID-19 pandemic has been recognized as a cause of direct and indirect psychological consequences that impact mental health such as acute stress disorders, anxiety, irritability, poor concentration, and insomnia. This study was planned to evaluate the sleep quality and mental health of undergraduate students amidst the COVID-19 lockdown of 2021. Materials and Methods: This observational cross-sectional study was conducted in Lahore, Pakistan, where 261 undergraduate medical and dental students enrolled at a private medical and dental school were approached from March to May 2021. The Pittsburg Sleep Quality Index (PSQI) was used to identify the sleep quality along with the Generalized Anxiety Disorder Scale (GAD-7) to establish anxiety symptoms and the Physical Health Questionnaire (PHQ-9) for depression symptoms. Results: The results show that 212 (81.2%) female and 49 (18.8%) male students participated in the study. Of the participants 75.1% experienced poor sleep quality, 90% had symptoms of depression, and 85.4% had symptoms of anxiety. The mean score on the PSQI scale was 8.59+4.10, on the GAD-7 scale was 11.36+5.94 and on the PHQ-9 scale was 13.70+6.81. Multiple regression analysis showed that anxiety symptoms (β = 0.315, p = 0.000) and depression symptoms (β = 0.398, p = 0.000) were significant predictors of sleep quality amongst the undergraduate medical and dental students. Conclusion: A high majority of the study participants are experiencing poor sleep quality along with suffering from depression and anxiety amidst the COVID-19 lockdown. It is concluded from the analysis that anxiety and depression symptoms are significant predictors of sleep quality. Relevant authorities need to set up systems that help undergraduate medical students in alleviating and coping with these symptoms midst the COVID-19 pandemic.

scholarly journals The Epidemiology of Sleep Quality, Sleep Patterns, Consumption of Caffeinated Beverages, and Khat Use among Ethiopian College Students

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Seblewengel Lemma ◽  
Sheila V. Patel ◽  
Yared A. Tarekegn ◽  
Mahlet G. Tadesse ◽  
Yemane Berhane ◽  
...  
Keyword(s):  
College Students ◽  
Cigarette Smoking ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Sleep Habits ◽  
Poor Sleep Quality ◽  
Caffeine Consumption ◽  
Sleep Complaints ◽  
Khat Use

Objective. To evaluate sleep habits, sleep patterns, and sleep quality among Ethiopian college students; and to examine associations of poor sleep quality with consumption of caffeinated beverages and other stimulants.Methods. A total of 2,230 undergraduate students completed a self-administered comprehensive questionnaire which gathered information about sleep complaints, sociodemographic and lifestyle characteristics,and theuse of caffeinated beverages and khat. We used multivariable logistic regression procedures to estimate odds ratios for the associations of poor sleep quality with sociodemographic and behavioral factors.Results. Overall 52.7% of students were classified as having poor sleep quality (51.8% among males and 56.9% among females). In adjusted multivariate analyses, caffeine consumption (OR=1.55; 95% CI: 1.25–1.92), cigarette smoking (OR=1.68; 95% CI: 1.06–2.63), and khat use (OR=1.72, 95% CI: 1.09–2.71) were all associated with increased odds of long-sleep latency (>30 minutes). Cigarette smoking (OR=1.74; 95% CI: 1.11–2.73) and khat consumption (OR=1.91; 95% CI: 1.22–3.00) were also significantly associated with poor sleep efficiency (<85%), as well as with increased use of sleep medicine.Conclusion. Findings from the present study demonstrate the high prevalence of poor sleep quality and its association with stimulant use among college students. Preventive and educational programs for students should include modules that emphasize the importance of sleep and associated risk factors.

scholarly journals Relationship Between Sleep Quality, Depression Symptoms, and Blood Glucose in Pregnant Women

2018 ◽  
Vol 41 (9) ◽  
pp. 1222-1240 ◽  
Author(s):  
Azza H. Ahmed ◽  
Sun Hui ◽  
Jennifer Crodian ◽  
Karen Plaut ◽  
David Haas ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Quality Data ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Maternal Child Health ◽  
Work Schedule ◽  
Poor Sleep Quality ◽  
Prospective Longitudinal

Sleep quality during pregnancy affects maternal/child health. We aimed to assess changes in sleep quality during pregnancy and determine its relationship to maternal mood, blood glucose, and work schedule among primiparous women. We conducted a prospective/longitudinal/observational study. Ninety-two pregnant women were recruited from Midwestern hospital. Mood and sleep quality data were collected using Edinburgh Postnatal Depression Scale/Pittsburgh Sleep Quality Index at Gestational Weeks 22 and 32. Forty-three women completed the study. Twenty-six women (63%) were African American and the mean age was 23.64 ( SD = 3.82) years. Rate of poor sleep quality increased during pregnancy with 25% of women had scores indicative of depression symptoms. Poor sleep quality score was related to mood scores ( p < .05) and work schedule. Blood glucose was not significantly related to sleep duration. In conclusion, poor sleep quality during pregnancy was associated with poor mood and work schedule, suggesting that interventions targeting mental health and lifestyles are needed.

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 Anxiety and Depression Symptoms of Patients in Fangcang Shelter Hospital During the COVID-19 Outbreak in China: a Web-Based Cross-Sectional Study

2020 ◽  
Author(s):  
Ling-Ling Dai ◽  
Xi Wang ◽  
Tian-Chi Jiang ◽  
Peng-Fei Li ◽  
Yu Wang ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Sleep Quality ◽  
Physical Symptoms ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Independent Risk Factors ◽  
Anxiety Depression

Abstract Background The COVID-19 pandemic is a major health crisis has led to adverse mental health consequences in the general public, medical staff, and individual in self isolation. In order to stop transmission of the virus and save lives, Fangcang shelter hospitals were developed and used for the first time in China. However, there is no research on mental health problems in Fangcang shelter hospitals patients during the COVID-19 outbreak. The aim of this study was to survey the prevalence and major influencing factors of anxiety, depression among the hospitalized Coronavirus Disease 2019 (COVID-19) cases in Fangcang shelter hospital. Methods From February 23rd, 2020, to February 26th, 2020, we obtained the information of demographic data, clinical symptoms, and assessed the mental health status, sleep quality by using an online questionnaire including self-rating anxiety scale (SAS), self-rating depressive scale (SDS) and pittsburgh sleep quality index (PSQI) at Jianghan Fangcang shelter hospital. We assessed the prevalence of anxiety, depression symptoms and poor sleep quality via the scores of SAS, SDS and PSQI. We explored the influencing factors of anxiety and depression in COVID-19 patients using multivariable logistic regression models. Results We collected data from 307 COVID-19 patients in Jianghan Fangcang shelter hospital. The prevalence of anxiety, depression symptoms were 18.6% and 13.4%, respectively. Poor Sleep quality, number of current physical symptoms ≥ 2 were independent risk factors for anxiety symptoms (P < 0.05); female, family member confirmed COVID-19, number of current physical symptoms ≥ 2 were independent risk factors for depression symptoms (P < 0.05). PSQI scores were significant positively associate with SAS scores and SDS scores (P ༜ 0.05). Conclusions Anxiety and depression are common among the COVID-19 patients in Fangcang shelter hospital. Those with more current physical symptoms, poor sleep quality are more likely to have anxiety. Females, those with their family members diagnosed with COVID-19, more current physical symptoms are more vulnerable to depression symptom. Our findings can be used to formulate targeted psychological interventions to reduce adverse psychological impacts in Fangcang shelter hospital during the outbreak of epidemic disease in the future.

scholarly journals Los hábitos de sueño como predictores de la salud psicológica en profesionales sanitarios

2020 ◽  
Vol 36 (2) ◽  
pp. 242-246 ◽  
Author(s):  
Eva María Díaz-Ramiro ◽  
Susana Rubio-Valdehita ◽  
Maria Inmaculada López-Núñez ◽  
Marta Evelia Aparicio-García
Keyword(s):  
Sleep Quality ◽  
Nursing Staff ◽  
Psychological Health ◽  
Health Workers ◽  
Health Sector ◽  
Somatic Symptoms ◽  
Public Hospitals ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Poor Sleep Quality

El objetivo de la investigación fue estudiar los hábitos de sueño y la salud psicológica de profesionales del sector sanitario, así como analizar las relaciones entre ambas variables. La muestra contó con 511 trabajadores de hospitales públicos de la Comunidad de Madrid. La salud psicológica fue evaluada con el Cuestionario GHQ-28;  los hábitos de sueño a través del  Cuestionario CHAS, además, se recogieron datos sociodemográficos como edad, sexo, puesto de trabajo, categoría profesional. Los resultados mostraron diferencias estadísticamente significativas en síntomas somáticos, salud psicológica y estabilidad en hábitos de sueño. Los análisis de regresión indicaron que calidad del sueño y somnolencia diurna son las variables más relacionadas con las dimensiones de salud, especialmente con la ansiedad/insomnio y síntomas somáticos. Estos los resultados ponen de manifiesto las diferencias entre hábitos de sueño y salud percibida en personal de enfermería y facultativos. En conclusión, la población sanitaria presenta mayor prevalencia en malestar psicológico, peor calidad de sueño e inestabilidad en las horas de sueño. Deterioro del sueño, somnolencia y  síntomas somáticos son más frecuentes en personal de enfermería que en el resto de profesionales sanitarios. The aim was to study the sleep habits and the psychological health of professionals in the health sector, as well as to analyze the relationships between both variables. The sample consisted of 511 workers from public hospitals in the Community of Madrid. Psychological health was evaluated using the GHQ-28 Questionnaire; and sleep habits with the CHAS Questionnaire. In addition, sociodemographic data were collected, such as age, sex, job position, professional category. The results showed statistically significant differences in somatic symptoms, psychological health and stability in sleep habits. Regression analysis indicated that sleep quality and daytime sleepiness are the variables most related to health dimensions, especially with anxiety/insomnia and somatic symptoms. These results reveal the differences between sleep habits and perceived health in nursing staff and physicians. Finally, the health workers present a higher prevalence of psychological distress, and poor sleep quality and instability in sleep hours. Sleep impairment, somnolence and somatic symptoms are more frequent in nursing staff than in other health professionals.

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.

161 Sleep, Emotion, and Physical Activity in Older Adults Who Engage in Resonant Breathing Biofeedback

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A65-A66
Author(s):  
Noor Nasseri ◽  
Hanna Lagman ◽  
Katharine Simon ◽  
Jing Zhang ◽  
Sara Mednick
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Emotion Dysregulation ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Emotional Wellbeing ◽  
Sleep Habits ◽  
Coherence Level

Abstract Introduction Resonant breathing (RB) biofeedback increases rhythmic heart-respiration coherence patterns and has been associated with improved emotional wellbeing, physiological health, and sleep quality (Lehrer et al, 2000). Sleep quality declines with age, which leads to emotion dysregulation, cognitive impairment, and poor physical health (Crowley, 2011). However, limited research has investigated the sleep characteristics of older adults who practice RB-biofeedback. Therefore, our study investigates this population’s sleep characteristics, emotional stability, and physical health. Methods Thirty-one healthy participants (24 Female; M=54.68 years, SD=9.74) who self-identified as RB-biofeedback experts completed a series of online questionnaires assessing history, frequency, and duration of practice, sleep (habits and quality), physical activity (frequency, duration, and intensity), and mood (depression symptoms). They also reported their typical coherence level achieved, which is a numerical composite value associated with the heart rhythm’s uniform sine-wave pattern at approximately .1HZ (McCraty et al., 2010). Results Using bivariate correlations, we found that poor sleep quality was positively correlated with stress (r = .954, p = .001), poor sleep hygiene (r = .591, p &lt; .001), severe sleepiness (r = .518, p = .003), emotion dysregulation (r = .511, p = .004), depressive symptoms (r = .089, p &lt; .001), and negatively correlated with subjective happiness (r = .511, p &lt; .003). Severe sleepiness was negatively correlated with older adults’ enhanced physical fitness (r = .612, p &lt; .001), and poor sleep hygiene was positively correlated with depressive symptoms (r = .503, p = .004). We found no significant correlations between coherence level, mood, physical activity, or sleep measures. Conclusion We found significant associations between healthy sleep habits and emotional wellbeing. Those with better sleep quality and more positive sleep habits also had fewer depression symptoms. Moreover, those categorized as more athletic reported lower levels of severe sleepiness, suggesting that physical activity may be a protective factor for sleep in older adults. We did not find a relation between coherence level and sleep, or physical activity. These null results may be due to the high expertise level of the subject sample. Future studies should compare results to older adults who do not practice RB-biofeedback. Support (if any) Undergraduate Research Opportunity Program

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