scholarly journals Understanding factors relevant to poor sleep and coping methods in people with schizophrenia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yen-Ching Chang ◽  
Megan C. Chang ◽  
Yun-Jou Chang ◽  
Ming-De Chen
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Mental Health Professionals ◽  
Sleep Problems ◽  
Psychiatric Symptoms ◽  
Structured Interview ◽  
Community Dwelling ◽  
Poor Sleep ◽  
Coping Methods

Abstract Background Sleep disruption is pervasive in people with schizophrenia, but few studies have explored their sleep experiences. This study aims to identify factors relevant to sleep problems and explore coping methods used by community-dwelling people with schizophrenia. Methods Eighteen participants with schizophrenia were recruited from three mental health centers in Taiwan. They completed a semi-structured interview and the Pittsburgh Sleep Quality Index (PSQI) assessment. The Person-Environment-Occupation model offered a framework to assess factors related to sleep. Thematic analysis was used for the qualitative data analysis. Results Factors related to sleep were classified under person, environment, and occupation domains. The person domain included three subthemes: psychiatric symptoms, unpleasant emotions, and frustration about sleep. The environment domain included three subthemes: sensory intrusions from the environment, quality of bedding, and roommates. The occupation domain included sleep interruption and sleep preparation. There were notable discrepancies in sleep quality between the participants’ narratives and their PSQI global scores. Regarding coping methods for poor sleep, sleep medication was the primary strategy while some participants also used other strategies, such as modifying the environment, adjusting routines, or engaging in activities that improve sleep quality. Conclusions Psychiatric symptoms and nightmares were identified as unique sleep disruptions in people with schizophrenia, and poor economic status was also found to impact their sleep. The sleep quality of people with schizophrenia tends to be poor, as identified by the PSQI, even though they may have positive perceptions of their sleep quality. Our participants appeared to prefer to take hypnotics to address their sleep problems, which may be due to limited knowledge about alternatives. Mental health professionals are encouraged to receive training in the application of non-pharmacological approaches to support their clients’ issues related to sleep.

scholarly journals ASSOCIATION OF SLEEP PROBLEMS AND COMMON MENTAL HEALTH PROBLEMS IN ENGINEERING STUDENTS OF SGT UNIVERSITY, GURUGRAM, INDIA

2020 ◽  
Vol 8 (12) ◽  
pp. 148-155
Author(s):  
Niyatisheokand a ◽  
◽  
Nimmi A. Jose ◽  
Abhishek Kapoor ◽  
Priya Arora ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Engineering Students ◽  
Mental Health Problems ◽  
Sleep Problems ◽  
General Health Questionnaire ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality

Introduction:Sleep is naturally recurring state of mind and body, characterized by altered consciousness, inhibition of nearly all voluntary muscles and reduced interactions with surroundings. Chronic disturbances can lead to poor sleep quality which may manifest as increased irritability, anxiety, tension, depression, confusion. The undergraduate years are a period of vulnerability when considering sleep problems and mental health may tend to worsen over time. Alcohol, tobacco, and stimulant beverages such as tea/ caffeine affect the quality of sleep. Students are more prone to adopt and practice maladaptive sleep hygiene such as irregular bedtime, academic pressure, internet addiction, electronic media exposure, alcohol consumption and smoking, which affects quality of sleep. Material and Methods:The study was a cross sectional, interview based, non-interventional studyconducted on the engineering students at SGT University, Budhera, Gurgaon, Haryana, India. Data was collected through questionnaires such as Pittsburgh Sleep Quality Index, The Epworth `Sleepiness Scale, Depression Anxiety Stress Scale, The general health questionnaire. Results:A total of 274 students were included in the study. The mean age was20.11 ± 1.30 years and there were more male (77.3%) students as compared to females (22.7%). Alcohol use was present in 43(11.7%) of students, cannabis intake was present in 11(4%), nicotine intake was reported by 39(14.2%) of students and only one student reported of taking opioid. DASS-A, DASS-S, DASS-D, GHQ-12, PSQI were positively correlated with each other when associations were studied individually. Conclusion:In our study,it was established that poor sleep quality in engineering students was significantly associated with poor mental and physical health.

scholarly journals Sleep problems among Dutch higher educational students, working towards solutions

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
C Van Der Heijde ◽  
M Van Weeren ◽  
P Vonk
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Associated Factors ◽  
Sleep Problems ◽  
Attention Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
High Prevalence ◽  
Higher Educational

Abstract Background Lately, attention for the role of sleep in health and wellbeing has increased. Short sleep duration and poor quality of sleep are associated with a higher chance at several (mental) health issues, including a higher mortality risk. Furthermore it is associated with attention problems and lower academic achievement. Poor sleep has a high prevalence, especially among students. We aim to provide (policy) recommendations from studying the associated factors on an individual and social level with poor sleep and its consequences. Methods In a cross-sectional survey design (N = 493), the extent of sleep problems and its associated factors was studied amongst a group of Dutch students. The Pittsburg Sleep Quality Index (PSQI) was used. Linear regression analysis was performed. Participants were recruited through social media and e-mail (Male 43%; Female 57%; mean age, 22 years). Additionally, experts were questioned in a small survey to come up with solutions (N = 24). Results 59% of higher educational students suffer from poor sleep quality. Factors that were significantly associated with worse sleep quality were: sleep need, behavior and psychology (effects stress overload), having a paid job in the evening/night, loneliness, having the Chinese and other ethnicity and having a sleep-related disorder. Sleep was significantly associated with worse mental health, vitality and drug use. Additionally, sleep was a significant predictor for attention problems and worse academic performance in the current academic year. Conclusions Nearly 2 out of 3 students suffered from poor sleep quality, reconfirming the high prevalence amongst higher educational students in other studies. Universities can contribute to better sleep quality of their students by educating their students more about sleep hygiene (including effects of drugs and how to deal with high work pressures), and make them more aware of the availability of student psychologists and student general practitioners. Key messages Students in higher education are a population at high risk for poor sleep quality. More attention for the importance of sleep for health, wellbeing and academic achievements should be implemented in the university institutional context.

scholarly journals Subjective Cognitive Decline in the Community Is Affected at Multiple Aspects of Mental Health and Life Quality: A Cross-Sectional Study of the Community Medicine of Keelung Chang Gung Memorial Hospital

2019 ◽  
Vol 9 (1) ◽  
pp. 152-162 ◽  
Author(s):  
Yi-Chia Wei ◽  
Li-Yuan Huang ◽  
Chih-Ken Chen ◽  
Chemin Lin ◽  
Yu-Chiau Shyu ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Cognitive Decline ◽  
Life Quality ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Subjective Cognitive Decline ◽  
Sectional Study ◽  
Cross Sectional

Background: Subjective cognitive decline (SCD) is one of the early warning signs of objective cognition impairment and dementia. Methods: This cross-sectional study screened SCD and studied multiple domains of mental health, lifestyle, and life quality of the community-dwelling people in the northern coastal region of Taiwan. Results: Among 426 valid AD8 questionnaires, a cutoff of score 2 divided subjects into 115 with SCD (SCD+) and 311 without SCD (SCD–). Analysis of age, sex, body compositions, and blood tests revealed an older age (60.7 ± 10.9 years) of the SCD+ group than the SCD– group (57.6 ± 12.0 years, p < 0.05). Further exclusion of subjects younger than 50 years eliminated age differences and left 100 with SCD (SCD+_50) and 229 without (SCD–_50). Multidomain comparisons of the SCD+_50 group over the SCD–_50 group were made: the Taiwanese Depression Questionnaire found a higher likelihood of depression; the Pittsburgh Sleep Quality Index revealed suboptimal sleep quality; the SF-36 showed inferior function of all 8 aspects of quality of life; the Health-Promoting Lifestyle Profile documented a less health-seeking lifestyle of nutrition, self-actualization, and stress management. Conclusions: Aging increased the SCD risk. People with SCD had suboptimal performance in mental health and life quality in addition to subjective cognition problems.

scholarly journals Sleep and Olfaction among Older Adults

2017 ◽  
Vol 48 (3-4) ◽  
pp. 147-154 ◽  
Author(s):  
V. Eloesa McSorley ◽  
Jayant Pinto ◽  
L. Philip Schumm ◽  
Kristen Wroblewski ◽  
David Kern ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Structural Equation Models ◽  
Sleep Problems ◽  
Community Dwelling ◽  
Odor Identification ◽  
Self Report ◽  
Poor Sleep ◽  
Wrist Actigraphy ◽  
Odor Sensitivity

Background: Sleep and olfaction are both critical physiological processes that tend to worsen with age. Decline in olfaction can be an early indicator of neurodegenerative diseases, whereas poor sleep quality is associated with reduced physical and mental health. Given associations with aging-related health declines, we explored whether variations in sleep were associated with olfactory function among older adults. Methods: We assessed the relationship between sleep characteristics and olfaction among 354 community-dwelling older adults. Olfaction was measured using a validated field and survey research tool. Sleep characteristics were measured using wrist actigraphy and with self-report of sleep problems. We fit structural equation models of latent constructs of olfaction based on olfactory task items and let this be a function of each sleep characteristic. Results: Actigraph sleep quality measures were associated with odor identification, but not with odor sensitivity. Longer duration sleepers had worse odor sensitivity compared to medium (58 h) sleepers, but sleep duration was not associated with odor identification. Reported sleep problems and reported usual duration were not associated with olfaction. Conclusions: Diminished sleep quality was associated with reduced capacity to identify odors. Determining whether this is a causal association will require further study and longitudinal data.

scholarly journals Association between Neighborhood Environment and Quality of Sleep in Older Adult Residents Living in Japan: The JAGES 2010 Cross-Sectional Study

2020 ◽  
Vol 17 (4) ◽  
pp. 1398
Author(s):  
Michiko Watanabe ◽  
Yugo Shobugawa ◽  
Atsushi Tashiro ◽  
Asami Ota ◽  
Tsubasa Suzuki ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Environmental Factors ◽  
Sleep Quality ◽  
Low Income ◽  
Depression Scale ◽  
Living Environment ◽  
Community Dwelling ◽  
Neighborhood Environment ◽  
Poor Sleep

Poor sleep is associated with lifestyle, however, few studies have addressed the association between sleep quality and the neighborhood environment. This study aimed to investigate the associations between living environment factors and sleep quality in older people. Participants were community-dwelling people aged ≥65 years who participated in the 2010 Japanese Gerontological Evaluation Study. The data of 16,650 people (8102 men, 8548 women) were analyzed. Sleep quality (good or poor) was evaluated using a self-administered questionnaire. Multilevel Poisson regression analysis stratified by depressive status (measured by the Geriatric Depression Scale-15 [GDS]) was conducted with sleep quality as the dependent variable and social and physical environmental factors as explanatory variables. The 12,469 non-depressive respondents and 4181 depressive respondents were evaluated. The regression analysis indicated that non-depressive participants slept better if they lived in environments with few hills or steps (prevalence ratio [PR] = 0.75, 95% CI: 0.56–0.9) and with places where they felt free to drop in (PR = 0.51, 95% CI: 0.26–0.98). For depressive participants, these associations were not evident. Living alone, poor self-rated health, low income, and unemployment were associated with poor sleep quality. In addition to support with these individual factors, improving environmental factors at the neighborhood level may improve the sleep quality of community-dwelling older adults.

scholarly journals Relationship between Mental Health, the CLOCK Gene, and Sleep Quality in Surgical Nurses: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Lingyun Shi ◽  
Yuanyuan Liu ◽  
Ting Jiang ◽  
Ping Yan ◽  
Fan Cao ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Psychological Symptoms ◽  
Influential Factors ◽  
Poor Sleep ◽  
Physical And Mental Health ◽  
High Exposure ◽  
Surgical Nurses

Nursing is a high-risk occupation with high exposure to stress. The physical and mental health of nurses is directly related to the quality of medical services. Therefore, the sleep quality of nurses should not be ignored. In this study, the method of cluster random sampling was adopted from May to September 2019, and a questionnaire survey was conducted among 521 surgical nurses from five affiliated hospitals of Xinjiang Medical University. The relationship between mental health and sleep quality was analyzed, and 20% of the participants with sleep disorders were randomly selected. The sleep disorders used 1 : 1 matching, finally providing a sample with 60 cases and 60 controls for measurement of the CLOCK gene (rs1801260, rs6850524), to analyze the effect of the interaction between mental health and the CLOCK gene on sleep. The mental health and sleep quality of the surgical nurses were evaluated using the Symptom Checklist 90 (SCL-90) and Pittsburgh Sleep Quality Index (PSQI). The study found that surgical nurses had poor sleep, and there were differences associated with age, years working, frequency of night shifts, and incidence of sleep disorders under marital status (p<0.05). The PSQI scores of the positive psychological symptoms were higher than those of the negative psychological symptoms. The rank sum test was used to compare the sleep quality scores of different genotypes in CLOCK rs1801260 and rs6850524; the results indicated that the PSQI scores were different among different genotypes at the rs1801260 and rs6850524 loci. The logistic regression results suggested that CLOCK gene rs1801260 (TC) and positive psychological symptoms were influential factors for sleep disorders, and the interaction of positive psychological symptoms∗rs1801260 (TT) was a risk factor for sleep disorders (OR=10.833, 95% CI: 2.987–39.288). The sleep quality of nurses is not only affected by demographic characteristics but also affected by mental health status and the CLOCK gene.

scholarly journals The effect of mental health on sleep quality of front-line medical staff during the COVID-19 outbreak in China: A cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253753
Author(s):  
Leiyu Yue ◽  
Rui Zhao ◽  
Qingqing Xiao ◽  
Yu Zhuo ◽  
Jianying Yu ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Medical Staff ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Front Line ◽  
Poor Sleep Quality ◽  
Cross Sectional

Background The 2019 coronavirus disease (COVID-19) pandemic is a public health emergency of international concern and poses a challenge to the mental health and sleep quality of front-line medical staff (FMS). The aim of this study was to investigate the sleep quality of FMS during the COVID-19 outbreak in China and analyze the relationship between mental health and sleep quality of FMS. Methods From February 24, 2020 to March 22, 2020, a cross-sectional study was performed with 543 FMS from a medical center in Western China. A self-reported questionnaire was used to collect data anonymously. The following tests were used: The Self-Rating Anxiety Scale (SAS) for symptoms of anxiety, the Beck Depression Inventory (BDI) for depressive symptoms, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality assessment. Results Of the 543 FMS, 216 (39.8%) were classified as subjects with poor sleep quality. Anxiety (P<0.001), depression (P<0.001), and the prevalence of those divorced or widowed (P<0.05) were more common in FMS with poor sleep quality than in participants with good sleep quality. The FMS exhibiting co-occurrence of anxiety and depression were associated with worse scores on sleep quality than those medical staff in the other three groups/categories. The difference in sleep quality between the FMS with only depression and the FMS experiencing co-occurrence of anxiety and depression was statistically significant (P<0.05). However, there was no significant difference in sleep quality between the FMS experiencing only anxiety and the FMS with co-occurrence of anxiety and depression (P > 0.05). Conclusions During the COVID-19 pandemic, there was a noteworthy increase in the prevalence of negative emotions and sentiments among the medical staff, along with poor overall sleep quality. We anticipate that this study can stimulate more research into the mental state of FMS during outbreaks and other public health emergencies. In addition, particular attention must be paid to enhance the sleep quality of FMS, along with better planning and support for FMS who are continuously exposed to the existing viral epidemic by virtue of the nature of their profession.

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.

scholarly journals Influence of Sleeping Patterns in Health and Academic Performance Among University Students

2020 ◽  
Vol 17 (8) ◽  
pp. 2760
Author(s):  
María Dolores Toscano-Hermoso ◽  
Félix Arbinaga ◽  
Eduardo J. Fernández-Ozcorta ◽  
Juan Gómez-Salgado ◽  
Carlos Ruiz-Frutos
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Ex Post ◽  
Small Effect Size ◽  
The Relationship

Sleep problems in university students are important and have implications for health, quality of life, and academic performance. Using an ex post facto design, a total sample of 855 students (55.7% women) participated in the study. Sleep assessment was conducted using the Pittsburgh Sleep Quality Index, the Nightmare Frequency Scale, the Nightmare Proneness Scale, and the Composite Morningness Scale. Women show a higher risk [OR = 2.61] of presenting poor sleep quality (> 5 points on the PSQI) compared with men (p < 0.001). Similarly, women reported a greater frequency of nightmares (p < 0.001, d = 0.60), greater propensity for nightmares (p < 0.001, d = 0.70) and a higher score on Item-5h of the PSQI regarding nightmares (p < 0.001, d = 0.59). Women, compared with men, show higher risk [OR = 2.84] for a sleep disorder related to nightmares (p = 0.012). Women need more time to reach a state of alertness after getting up (p = 0.022), and there was an interaction between sex and the alertness factor when evaluating the subjective quality of sleep (p = 0.030). Women show worse sleep quality and a higher frequency and propensity for suffering nightmares. When considering the relationship between sleep quality and academic performance, it is observed that students with poor sleep quality obtain lower academic scores (M = 7.21, SD = 0.805) than those with good sleep quality (M = 7.32, SD = 0.685), an effect that reaches significance (t = 2.116, p = 0.035). Regarding the relationship between the categorized chronotype and academic performance, students with a morning chronotype achieve better academic results (M = 7.41, SD = 0.89) than their evening counterparts (M = 7.15, SD = 0.76), although these differences have a small effect size (d = 0.31).

scholarly journals Sleep Quality among Police Officers: Implications and Insights from a Systematic Review and Meta-Analysis of the Literature

2019 ◽  
Vol 16 (5) ◽  
pp. 885 ◽  
Author(s):  
Sergio Garbarino ◽  
Ottavia Guglielmi ◽  
Matteo Puntoni ◽  
Nicola Bragazzi ◽  
Nicola Magnavita
Keyword(s):  
Sleep Quality ◽  
Police Officers ◽  
Sleep Problems ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Poor Sleep ◽  
Negative Consequences ◽  
Quality Of Sleep ◽  
Police Forces

Poor sleep is associated with bad health outcomes, worse wellbeing and decreases in performance, productivity and safety at work. Police officers are exposed to several risk factors including extended work schedules, shift work, occupational stress, dangerous and traumatic events and can, as such, develop sleep problems. The aim of the present study was to analyze the sleep quality among police officers. A systematic literature search, in PubMed/MEDLINE, PsycINFO, Scopus, ISI/Web of Science (WoS) and the Cochrane Library was conducted. Original articles, published in English, French, Italian, Spanish and Portuguese, the primary objective of which was the evaluation of the quality of sleep through the Pittsburgh Sleep Quality Index (PSQI) in Police Forces, were selected. From an initial sample of 1,149 studies, 13 articles were included in the meta-analysis (3,722 police officers). The pooled prevalence of bad sleep quality in police officers was 51% [95%CI 42–60%]. The pooled global score of the PSQI was 5.6 [95%CI 5.0–6.3], corresponding to a low average quality. At the meta-regressions, statistically significant associations could be found for work seniority (in terms of years of service) and being on shift. The poor quality of sleep in police officers could have negative consequences for workers’ health and for the safety of third parts. The implementation of health and sleep hygiene promotion programs in police forces is strongly recommended.

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