scholarly journals Sleep Complaints in Older Blacks: Do Demographic and Health Indices Explain Poor Sleep Quality and Duration?

2014 ◽  
Vol 10 (07) ◽  
pp. 725-731 ◽  
Author(s):  
Alyssa A. Gamaldo ◽  
Charlene E. Gamaldo ◽  
Jason C. Allaire ◽  
Adrienne T. Aiken-Morgan ◽  
Rachel E. Salas ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Sleep Complaints ◽  
Health Indices

331 Adverse Childhood Experience and Sleep Quality in Adulthood

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A132-A133
Author(s):  
Chighaf Bakour ◽  
Jill Desch ◽  
Fahad Mansuri ◽  
Skai W Schwartz
Keyword(s):  
Sleep Quality ◽  
Community Violence ◽  
Emotional Abuse ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Foster Home ◽  
Childhood Experiences ◽  
Sleep Complaints ◽  
Adverse Childhood ◽  
Home Placement

Abstract Introduction Poor sleep quality, a risk factor for many negative health outcomes, may result from physical or emotional disturbance including chronic stress. Adverse childhood experiences (ACEs) have been linked with chronic stress, and may therefore be associated with poor sleep quality in adulthood. This study examines the longitudinal association between specific ACEs and the number of ACEs and sleep quality in adulthood. Methods Using data from the National Longitudinal Study of Adolescent to Adult Health, we examined the association between ACEs and trouble falling asleep or staying asleep (rarely or never, sometimes, frequently) in waves 1 (age 12–18), 4 (age 24–32), and 5 (age 33–43). We examined ten ACEs (physical, sexual, or emotional abuse; neglect; parental death, incarceration, alcoholism, divorce or separation; foster home placement; poverty; and exposure to community violence) and the number of ACEs (0, 1, 2–3, 4+), using weighted logistic regression to calculate odds ratios and confidence intervals for each of the ACEs and ACE score and each of the outcomes after adjusting for relevant confounders. Results The analysis included 12,768 participants, 75.3% of whom experienced at least one ACE, including 14.7% who experienced 4 or more. Physical and emotional abuse were associated with frequent sleep complaints at waves 1, 4, and 5. Sexual abuse, neglect and community violence were associated with frequent complaints in two waves, while parental alcoholism, parental incarceration, and foster home placement were associated with frequent complaints in one wave. The number of ACEs experienced showed a dose-response association with frequent sleep complaints in wave 1 ([1 ACE: aOR=2.12 (1.16, 3.9), 2–3 ACEs: aOR=2.86 (1.70, 4.82), 4+ ACEs: aOR=4.17 (2.33, 7.48)], wave 4 [1 ACE: aOR=1.02 (0.77, 1.36); 2–3 ACEs: aOR= 1.66 (1.30, 2.10); 4+ ACEs: aOR=2.68 (1.99, 3.61) and in wave 5 [1 ACE: aOR=1.22 (0.93, 1.60)), 2–3 ACEs: aOR=1.42 (1.11, 1.81), 4+ ACEs: aOR=1.88 (1.40, 2.53)] Conclusion Certain adverse childhood experiences such as physical, sexual, and emotional abuse and neglect have a lasting impact on sleep quality in adulthood, highlighting the need to mitigate their impact to prevent negative health outcomes associated with poor sleep quality Support (if any):

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 The Association between Health Conditions in World Trade Center Responders and Sleep-Related Quality of Life and Sleep Complaints

2019 ◽  
Vol 16 (7) ◽  
pp. 1229 ◽  
Author(s):  
Indu Ayappa ◽  
Yingfeng Chen ◽  
Nisha Bagchi ◽  
Haley Sanders ◽  
Kathleen Black ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
World Trade Center ◽  
Health Conditions ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Sleep Complaints ◽  
Related Quality ◽  
Trade Center

Background: World Trade Center (WTC) dust-exposed subjects have multiple comorbidities that affect sleep. These include obstructive sleep apnea (OSA), chronic rhinosinusitis (CRS), gastroesophageal-reflux disorder (GERD) and post-traumatic stress disorder (PTSD). We examined the impact of these conditions to sleep-related outcomes. Methods: Demographics, co-morbidities and symptoms were obtained from 626 WTC (109F/517M), 33–87years, BMI = 29.96 ± 5.53 kg/m2) subjects. OSA diagnosis was from a 2-night home sleep test (ARESTM). Subjective sleep quality, sleep-related quality of life (QOL, Functional Outcomes of Sleep Questionnaire), excessive daytime sleepiness (Epworth Sleepiness Scale), sleep duration and sleep onset and maintenance complaints were assessed. Results: Poor sleep quality and complaints were reported by 19–70% of subjects and average sleep duration was 6.4 h. 74.8% of subjects had OSA. OSA diagnosis/severity was not associated with any sleep-related outcomes. Sleep duration was lower in subjects with all conditions (p < 0.05) except OSA. CRS was a significant risk factor for poor sleep-related QOL, sleepiness, sleep quality and insomnia; PTSD for poor sleep-related QOL and insomnia; GERD for poor sleep quality. These associations remained significant after adjustment for, age, BMI, gender, sleep duration and other comorbidities. Conclusions: Sleep complaints are common and related to several health conditions seen in WTC responders. Initial interventions in symptomatic patients with both OSA and comorbid conditions may need to be directed at sleep duration, insomnia or the comorbid condition itself, in combination with intervention for OSA.

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 Impact and Correlates of Poor Sleep Quality in Japanese White-Collar Employees

SLEEP ◽  
2003 ◽  
Vol 26 (4) ◽  
pp. 467-471 ◽  
Author(s):  
Yuriko Doi ◽  
Masumi Minowa ◽  
Toshiro Tango
Keyword(s):  
Sleep Quality ◽  
White Collar ◽  
Poor Sleep ◽  
Poor Sleep Quality

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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