scholarly journals Factors Associated With Perceived Stress Among Dementia Caregivers With Poor Sleep

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 427-428
Author(s):  
Yeonsu Song ◽  
Anna Papazyan ◽  
Monica Kelly ◽  
Sarah Choi ◽  
Constance Fung ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Intervention Program ◽  
Short Form ◽  
Care Recipient ◽  
Poor Sleep ◽  
Factors Associated ◽  
Care Recipients ◽  
Modifiable Factors

Abstract Poor sleep among family caregivers of individuals with dementia is associated with higher levels of caregiver stress. Modifiable factors that increase risk of stress among caregivers with poor sleep are targets for intervention. This analysis aimed to identify factors associated with greater caregiver stress among caregivers with poor sleep. Baseline data from an ongoing trial of a dyadic sleep intervention program for individuals with dementia and their caregivers with poor sleep quality (defined by Pittsburgh Sleep Quality Index total score > 5; N=21 dyads; mean age 70.8± 11.1 for caregivers, 80.5± 8.3 for care-recipients) were analyzed. Caregiving factors included Zarit Burden Index (ZBI) and SF-12 Short Form Health Survey (SF-12v2). Care-recipient factors included Mini-Mental State Examination (MMSE) and Revised Memory and Behavior Problems Checklist (RMBPC). Stress was measured with the Perceived Stress Scale (PSS). Analyses included Pearson correlations and t-tests. Caring for multiple care-recipients (n=5: 24.8±2.7) was associated with higher (worse) PSS scores than caring for one care-recipient only (n=16: 19.6±3.7, p=0.011). Caregivers with higher PSS also had a significantly higher ZBI score (r=0.53, p=0.015), higher distress related to care-recipient behaviors on the RMBPC (r=0.57, p=0.009) and worse mental health on the SF-12v2 (r= -0.47, p=0.037). PSS was not associated with care-recipient MMSE. These findings suggest that caregivers with poor sleep who care for multiple care-recipients may be at higher risk of stress. This work also identified potential targets (e.g., caregiver burden, mental health, distress related to care-recipient behavior) for reducing stress in this population.

scholarly journals Positive Aspects of Caregiving Among Family Caregivers of Individuals With Dementia

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 358-359
Author(s):  
Mary Grace Asirot ◽  
Anna Papazyan ◽  
Yeonsu Song
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Family Caregivers ◽  
Care Recipient ◽  
Related Factors ◽  
Negative Experience ◽  
Care Recipients ◽  
Positive Aspects Of Caregiving ◽  
Positive Caregiving ◽  
And Behavior

Abstract Traditionally, caregiving for individuals with dementia has been viewed as a negative experience. Understanding positive aspect of caregiving and related factors is important to improve health among family caregivers. We analyzed baseline data from an ongoing dyadic sleep education trial for individuals with dementia and their caregivers (N=21 dyads; mean age 70.8± 11.1 for caregivers, 80.5± 8.3 for care-recipients). The Positive Aspects of Caregiving (PAC 9-item) was used to assess subjective satisfaction with caregiving. Other measures included Zarit Burden Interview (ZBI), SF-12 Health Survey (SF-12v2), Revised Memory and Behavior Problems Checklist (RMBPC), and Pittsburgh Sleep Quality Index (PSQI). Pearson correlations and t-tests were calculated for analyses. Caregivers most frequently endorsed that caregiving enabled them to appreciate life more (n=16 agreed a lot). Caregivers who began providing care within the first few months of the care-recipient needing care (n=16) had greater positive aspects of caregiving than those who started providing care sometime later (n=5) (36.37±7.33 versus 25.8±8.29, p=0.01). Caregivers with higher PAC scores had lower ZBI score (r=-0.49, p=0.02), better mental health on the SF-12v2 (r=0.53, p=0.01), less distress related to care-recipient behaviors on the RMBPC (r=-0.50, p=0.02), and lower PSQI subscale (perceived sleep quality) score (r= -0.46, p=0.04). Findings suggest that higher positive caregiving experience was associated with better mental health and sleep quality, and less burden and distress from the care-recipients behaviors. More research is needed to better understand this relationship and to determine possible interventions to increase positive aspects of caregiving.

scholarly journals Early indicators and risk factors associated with mental health problems during COVID-19 quarantine: Is there a relationship with the number of confirmed cases and deaths?

2020 ◽  
pp. 002076402096602
Author(s):  
Héctor Badellino ◽  
María Emilia Gobbo ◽  
Eduardo Torres ◽  
María Emilia Aschieri
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Mental Health Problems ◽  
Significant Risk ◽  
Health Problems ◽  
Poor Sleep ◽  
Strong Impact ◽  
Anxiety Depression

Background: On March 20 2020, the Argentine Ministry of Health enforced a mandatory quarantine throughout the country in response to the COVID-19 pandemic. Aims: The object of this study is to determine the initial impact on mental health of Argentine population, by measuring the prevalence of anxiety, depression, insomnia, and self-perceived stress and by determining the associated risk factors, and to analyze that impact in relation to the number of confirmed cases and deaths. Method: A cross-sectional survey was conducted through a digital questionnaire, which was completed by 1,985 respondents between March 29 and April 12. The prevalence of anxiety, depression, stress and insomnia was measured with the Generalized Anxiety Disorder-7 Scale (GAD-7), the 9-Item Patients Health Questionnaire (PHQ-9); the Perceived Stress Scale (PSS-10) and the Pittsburgh Sleep Quality Index (PSQI), respectively. Results: The 62.4% of the surveyed population reported signs of psychological distress. It was found that being a woman, being 18 to 27 years old, living with family members or a partner, smoking, and having a poor sleep quality were the significant risk factors. Conclusion: Despite the low number of COVID-19 confirmed cases and deaths at that time, a strong impact on mental health indicators was revealed. The authors of this study recommend the monitoring of the population at risk over time and early interventions in order to avoid long-lasting mental health problems.

scholarly journals Poor quality of sleep and its consequences on mental health during COVID-19 lockdown in Italy

2020 ◽  
Author(s):  
Christian Franceschini ◽  
Alessandro Musetti ◽  
Corrado Zenesini ◽  
Laura Palagini ◽  
Annalisa Pelosi ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Sleep Quality ◽  
Short Form ◽  
Central Italy ◽  
Poor Sleep ◽  
Italian Population ◽  
Quality Of Sleep ◽  
Sleep Habits

BackgroundCoronavirus disease 2019 (COVID-19) seriously affected all Italy. The extreme virulence, the speed of propagation resulted in restrictions and home confinement. This change was immediately perceived by people who found themselves exposed to feelings of uncertainty, fear, anger, stress and a drastic change in the diurnal but above all nocturnal lifestyle. For these reasons, we aimed to study the quality of sleep and its connection to distress levels and evaluate how lifestyle changed in the Italian population during the lockdown.MethodsThrough an internet survey we recruited 6,519 adults during the whole COVID-19 lockdown (from 10thMarch – 1st phase - to 4th May – 2nd phase). We investigated the socio-demographic and COVID-19 related information and assessed sleep quality using the Medical Outcomes Study - sleep scale (MOS-SS) and mental health with the short form of Depression, Anxiety, and Stress Scales – 21 Items (DASS-21). Multiple logistic regression model was used to evaluate the multivariate association between the dependent variable (good sleeper vs. poor sleeper) and all the variables that were significant in the univariate analysis.Results3,562 (55.32%) participants reported poor sleep quality according to the MOS-Sleep Index II score. The multiple binary logistic regression results of poor sleepers reveal several risk factors during the outbreak restrictions: female gender, living in Central Italy, having someone close who died due to COVID-19, markedly changed sleep-wake rhythm characterized by earlier or postponed habitual bedtime, earlier habitual awakening time and reduced number of afternoon naps, extremely severe levels of stress, of anxiety, and of depression. ConclusionsThis is the first study designed to understand sleep quality and sleep habits during the whole lockdown in the Italian population that provides more than 6,000 participants in a survey developed specifically for the health emergency related to COVID-19. Our study found that more than half of the Italian population have had impaired sleep quality and sleep habits elevated psychological distress during the COVID-19 lockdown containment measures. A multidisciplinary action should be taken in order to plan appropriate responses to the current crisis caused by the COVID-19 health emergency.

scholarly journals Burnout among medical students in Cyprus: A cross-sectional study

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241335 ◽  
Author(s):  
Antonios Nteveros ◽  
Marios Kyprianou ◽  
Artemios Artemiadis ◽  
Antrianthi Charalampous ◽  
Kallistheni Christoforaki ◽  
...  
Keyword(s):  
Mental Health ◽  
Medical Students ◽  
Sleep Quality ◽  
Short Form ◽  
Maslach Burnout Inventory ◽  
Healthcare Sector ◽  
Poor Sleep ◽  
Student Survey ◽  
Cross Sectional ◽  
Linear Effect

Objectives The primary aim was to estimate the burnout prevalence among all medical students at the Medical School of the University of Cyprus. Secondary aims were to ascertain the predictors of burnout and its relationship with lifestyle habits, sleep quality and mental health. Background Burnout in the healthcare sector has drawn significant scientific attention over the last few years. Recent research underscored the large burden of profession-related burnout among medical students. Materials and methods An anonymous questionnaire was administered to all 189 eligible candidates. This included demographic and lifestyle characteristics. Sleep quality was assessed via the Pittsburg Sleep Quality Index, mental health was assessed via the mental health (MH) domain of the 36-item Short Form Health Survey (SF-36) and burnout with the Maslach Burnout Inventory–Student Survey (MBI-SS). Results Overall response rate was 96.3%. The burnout prevalence was 18.1%. There was a significant linear effect of between the year of studies and the burnout frequency [F(1) = 5.09, p = 0.024], implying that with increasing academic year there were more students with burnout, especially after the 4th year of education which signifies the beginning of clinical education. Students with burnout were more likely to have poor sleep quality (90.9% vs. 60.8%, odds ratio 4.33, p = 0.023) and worse mental health (MH score 40.2 ± 17.7 vs 62.9 ± 20.3, p<0.001). Alcohol consumers had more symptoms of cynicism and less feelings of efficacy than non-alcohol consumers. Moreover, less feelings of efficacy were significantly associated with more alcohol consumption among alcohol consumers. Conclusions Burnout is prevalent in medical students and increases significantly during the clinical years. Students with burnout have worse sleep and mental health and might use alcohol as a coping mechanism. Implementing prevention strategies of burnout may be beneficial.

scholarly journals Health, Lifestyle, and Psycho-Social Determinants of Poor Sleep Quality During the Early Phase of the COVID-19 Pandemic: A Focus on UK Older Adults Deemed Clinically Extremely Vulnerable

2021 ◽  
Vol 9 ◽  
Author(s):  
Chinedu T. Udeh-Momoh ◽  
Tamlyn Watermeyer ◽  
Shireen Sindi ◽  
Parthenia Giannakopoulou ◽  
Catherine E. Robb ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Sleep Quality ◽  
Negative Relationship ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Health Lifestyle ◽  
Modifiable Factors ◽  
Study Results ◽  
The Impact

Background: Several studies have assessed the impact of COVID-19-related lockdowns on sleep quality across global populations. However, no study to date has specifically assessed at-risk populations, particularly those at highest risk of complications from coronavirus infection deemed “clinically-extremely-vulnerable-(COVID-19CEV)” (as defined by Public Health England).Methods: In this cross-sectional study, we surveyed 5,558 adults aged ≥50 years (of whom 523 met criteria for COVID-19CEV) during the first pandemic wave that resulted in a nationwide-lockdown (April–June 2020) with assessments of sleep quality (an adapted sleep scale that captured multiple sleep indices before and during the lockdown), health/medical, lifestyle, psychosocial and socio-demographic factors. We examined associations between these variables and sleep quality; and explored interactions of COVID-19CEV status with significant predictors of poor sleep, to identify potential moderating factors.Results: Thirty-seven percent of participants reported poor sleep quality which was associated with younger age, female sex and multimorbidity. Significant associations with poor sleep included health/medical factors: COVID-19CEV status, higher BMI, arthritis, pulmonary disease, and mental health disorders; and the following lifestyle and psychosocial factors: living alone, higher alcohol consumption, an unhealthy diet and higher depressive and anxiety symptoms. Moderators of the negative relationship between COVID-19CEV status and good sleep quality were marital status, loneliness, anxiety and diet. Within this subgroup, less anxious and less lonely males, as well as females with healthier diets, reported better sleep.Conclusions: Sleep quality in older adults was compromised during the sudden unprecedented nation-wide lockdown due to distinct modifiable factors. An important contribution of our study is the assessment of a “clinically-extremely-vulnerable” population and the sex differences identified within this group. Male and female older adults deemed COVID-19CEV may benefit from targeted mental health and dietary interventions, respectively. This work extends the available evidence on the notable impact of lack of social interactions during the COVID-19 pandemic on sleep, and provides recommendations toward areas for future work, including research into vulnerability factors impacting sleep disruption and COVID-19-related complications. Study results may inform tailored interventions targeted at modifiable risk factors to promote optimal sleep; additionally, providing empirical data to support health policy development in this area.

scholarly journals Mental health service use and its associated factors among nurses in China: a cross-sectional survey

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11181
Author(s):  
Yusheng Tian ◽  
Yuchen Yue ◽  
Xiaoli Liao ◽  
Jianjian Wang ◽  
Man Ye ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Mental Health Service ◽  
Health Service ◽  
Sleep Quality ◽  
Service Use ◽  
Mental Health Service Use ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated

Background To facilitate mental health service planning for nurses, data on the patterns of mental health service use (MHSU) among nurses are needed. However, MHSU among Chinese nurses has seldom been studied. Our study aimed to explore the rate of MHSU among Chinese nurses and to identify the factors associated with MHSU. Methods A self-designed anonymous questionnaire was used in this study. MHSU was assessed by the question, “Have you ever used any kind of mental health services, such as mental health outpatient services or psychotherapies, when you felt that your health was suffering due to stress, insomnia, or other reasons?” The answer to the question was binary (yes or no). Sleep quality, burnout, and depressive symptoms were assessed using the Chinese version of the Pittsburgh Sleep Quality Index , the Chinese version of the Maslach Burnout Inventory-General Survey and the two-item Patient Health Questionnaire, respectively. Chi-square tests and binary logistic regression were used for univariate and multivariate analyses. Results A total of 10.94% (301/2750) of the nurses reported MHSU. 10.25% (282/2750) of the nurses had poor sleep quality, burnout and depressive symptoms, and only 26.95% of these nurses reported MHSU. Very poor sleep quality (OR 9.36, 95% CI [5.38-16.29]), mid-level professional title (OR 1.48, 95% CI [1.13-1.93]) and depressive symptoms (OR 1.66, 95% CI [1.28-2.13]) were independent factors associated with MHSU. Conclusions Most of the nurses have experienced burnout, poor sleep quality or depressive symptoms and the MHSU rate among them was low. Interventions to improve the mental health of nurses and to promote the use of mental health services are needed.

scholarly journals 649 Coping strategies moderate the effect of perceived stress on sleep and health in older adults during the COVID-19 pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A254-A254
Author(s):  
Eunjin Tracy ◽  
Brian Chin ◽  
H Matthew Lehrer ◽  
Lucas Carroll ◽  
Daniel Buysse ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Sleep Quality ◽  
Health Outcomes ◽  
Physical Health ◽  
Coping Strategies ◽  
Perceived Stress ◽  
Perceived Health ◽  
Poor Sleep ◽  
Sleep Health

Abstract Introduction The COVID-19 pandemic is an enormous stressor that can impact various dimensions of health, including sleep health. Older adults may be particularly vulnerable. Coping strategies to manage stress can also impact health outcomes by modifying the relationships between perceived stress and health outcomes. This study examined concurrent and longitudinal associations between perceived stress and sleep health, mental health, physical health, and overall perceived health outcomes among older adults. We also examined whether coping strategies moderate these associations. Methods Older adults (n = 115; Mage = 68.62, 58.3% female) reported perceived stress (PSS), coping strategies (Brief COPE), global sleep quality (PSQI global sleep quality score and dichotomous good/poor sleep quality), depressive symptoms (CES-D), and perceived mental, physical, and overall health (RAND-12) before and during the COVID-19 pandemic. Results The number of individuals with poor sleep quality was greater during the COVID-19 pandemic than before (50% vs. 36.5%). Participants also reported poorer physical health during the COVID-19 pandemic than before. Hierarchical linear regression and hierarchical logistic regression revealed that higher perceived stress was cross-sectionally associated with poorer sleep (e.g., higher total PSQI score and dichotomous sleep quality category). Higher perceived stress was associated with worse depressive symptoms and global mental health concurrently and longitudinally. Coping strategies moderated the relationships between perceived stress and physical health and overall perceived health. For example, higher perceived stress was associated with poorer overall perceived health for those who have lower problem-focused coping—but not for those with higher problem-focused coping—both concurrently and longitudinally. Conclusion Perceived stress influences cross-sectional and longitudinal measures of sleep health and general health among older adults during the COVID-19 pandemic. Coping strategies can moderate the effects of perceived stress on health outcomes. Older adults may benefit from prevention and intervention strategies targeting stress management and problem-focused coping strategies. Support (if any) This research was supported by the National Institute of Aging (R01AG047139), the National Heart, Lung, and Blood Institute (T32HL007560; T32HL082610), and the National Institute of Mental Health (T32MH019986)

scholarly journals Sleep quality and associated factors during the COVID-19 epidemic among community non-medical anti-epidemic Workers of Wuhan, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guanglin Si ◽  
Yi Xu ◽  
Mengying Li ◽  
Yuting Zhang ◽  
Shuzhen Peng ◽  
...  
Keyword(s):  
Social Support ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Associated Factors ◽  
Perceived Social Support ◽  
Educational Background ◽  
Physical Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.

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.

Sign in / Sign up

Export Citation Format

Share Document