Age Variations in Perceived COVID-19 Threats, Negative Impacts, and Associations with Well-Being

Abstract The COVID-19 pandemic represents an unprecedented threat to individual and public health, psychosocial, and economic well-being, although COVID-19 threats and impacts may vary by age and other demographic characteristics. Although greater age is a risk factor for greater COVID-19 disease severity, we know little about the association between age and perceived and experienced COVID-19 threats and their association to well-being. These associations were examined in an ongoing 3-wave investigation of over 1,700 U.S. adults (age 18-89; 53.1% female). Wave 1 analyses indicate no significant age variation in perceived threat of COVID-19 infection, with older and younger individuals reporting similar levels of COVID-19 infection threat. However, greater age was associated with lower perceived negative impact on financial and needed resources (r=-.10**), lower perceptions of COVID-19 induced harm to mental well-being (r=-.17**), and more favorable well-being profiles. Greater perceived COVID-19 threat and negative impact on resources and well-being were linked to greater feelings of stress (β’s=.45 to .68***), loneliness (β’s=.24 to .49***), social well-being (β’s=-.19 to -.36***), and poor sleep quality (β’s=.34 to .51***). These associations did not vary with age with the exception that older individuals showed stronger links between COVID-19 threat and impacts and poorer sleep quality. Ongoing analyses are examining whether these associations persist over time. Despite older adults’ greater risk of COVID-19 disease severity and mortality, older age did not appear to be linked to greater perceived COVID-19 threat or impacts, nor linkages to ill-being, with the possible exception of potential greater vulnerability to poor sleep quality.

Download Full-text

Tu1570 - Inflammatory Cytokines, not Disease Severity, may Provide Biological Insights into Poor Sleep Quality in Chronic Hepatitis B and C Infections

Gastroenterology ◽

10.1016/s0016-5085(18)34120-9 ◽

2018 ◽

Vol 154 (6) ◽

pp. S-1255

Author(s):

Pallavi Surana ◽

Devika Kapuria ◽

Gabriella Quinn ◽

Jonah Rosenblum ◽

Gil S. Ben-Yakov ◽

...

Keyword(s):

Chronic Hepatitis ◽

Hepatitis B ◽

Sleep Quality ◽

Disease Severity ◽

Chronic Hepatitis B ◽

Inflammatory Cytokines ◽

Poor Sleep ◽

Poor Sleep Quality

Download Full-text

THE MODERATING EFFECT OF RAISING ONE’S GRANDCHILDREN ON THE RELATION BETWEEN SLEEP AND DEPRESSION

Innovation in Aging ◽

10.1093/geroni/igz038.2505 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S678-S678

Author(s):

Melanie Stearns ◽

Danielle K Nadorff

Keyword(s):

Older Adults ◽

Risk Factor ◽

Depressive Symptoms ◽

Sleep Quality ◽

Sleep Problems ◽

Depression Scale ◽

Poor Sleep ◽

Older Individuals ◽

Poor Sleep Quality ◽

Custodial Grandparents

Abstract Recent evidence has shown that poor quality sleep is associated with depression, particularly among older individuals (Bao et al., 2017; Nadorff, Fiske, Sperry, & Petts, 2012). Moreover, given the high prevalence of depressive symptoms among older adults, it is important to identify possible risk factors of poor sleep quality. One possible risk factor is being a custodial grandparent (raising one’s grandchildren), as increased caregiving responsivities are associated with increased depressive symptoms (Brand-Winterstein, Edelstein, & Bachner, 2018). Based upon these previous findings, the current study examines the effect of custodial status on the relation between sleep quality and depressive symptoms. The sample (N = 466) was a subset of individuals recruited in the second wave of the MIDUS biomarkers project completed in 2009 who answered the sleep, caregiving, and depressive symptoms variables of interest. Measures included the Center for Epidemiological Studies Depression Scale (CESD), the Pittsburgh Sleep Quality Index (PSQI), and a question regarding custodial grandparent status. The current study aimed to examine whether poor sleep quality might serve as a risk factor for experiencing depressive symptoms and how custodial grandparents might differ from other older adults. Moderation analyses were conducted using SPSS’ Process macro on the sample. The interaction between global sleep quality and custodial grandparent status was significant in predicting depressive symptoms, t (1, 465) = 3.90, p = .04, such that custodial grandparents reported a stronger positive correlation between greater global sleep problems and depressive symptoms than non-custodial grandparents. Implications, future directions, and limitations are discussed.

Download Full-text

Association with the Quality of Sleep and the Mediating Role of Eating on Self-Esteem in Healthcare Personnel

Nutrients ◽

10.3390/nu11020321 ◽

2019 ◽

Vol 11 (2) ◽

pp. 321 ◽

Cited By ~ 2

Author(s):

María Pérez-Fuentes ◽

María Molero Jurado ◽

Ana Barragán Martín ◽

África Martos Martínez ◽

José Gázquez Linares

Keyword(s):

Sleep Quality ◽

Emotional Eating ◽

Well Being ◽

Self Esteem ◽

Healthcare Personnel ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Mediating Role ◽

Nursing Professionals

In recent decades, organizational research has paid special attention to the mechanisms promoting the health and well-being of nursing professionals. In this context, self-esteem is a personal resource associated with well-being at work and the psychological well-being of nurses. The purpose of this study was to analyze the mediating role of eating on the relationship between sleep quality and self-esteem in nursing professionals. A sample of 1073 nurses was administered the Rosenberg General Self-Esteem Scale, the Pittsburgh Sleep Quality Index (PSQI), and the Three-Factor Eating Questionnaire-R18 (TFEQ-18). The results show that poor sleep quality and type of eating directly and indirectly affect self-esteem. Poor sleep quality lowered self-esteem through emotional eating and, even though emotional eating facilitated uncontrolled eating, this relationship had no significant effect on self-esteem. The findings of this study suggest that hospital management should implement employee health awareness programs on the importance of healthy sleep and design educational interventions for improving diet quality.

Download Full-text

Poor sleep quality is associated with perinatal depression. A systematic review of last decade scientific literature and meta-analysis

Journal of Perinatal Medicine ◽

10.1515/jpm-2019-0214 ◽

2019 ◽

Vol 47 (7) ◽

pp. 689-703 ◽

Cited By ~ 6

Author(s):

Ernesto González-Mesa ◽

Celia Cuenca-Marín ◽

María Suarez-Arana ◽

Beatriz Tripiana-Serrano ◽

Nadia Ibrahim-Díez ◽

...

Keyword(s):

Systematic Review ◽

Sleep Quality ◽

Sleep Disturbances ◽

Perinatal Depression ◽

Meta Analysis ◽

Well Being ◽

Mental States ◽

Poor Sleep ◽

Poor Sleep Quality ◽

The Impact

Abstract Background Although pregnancy is frequently associated with mental states of happiness, hope and well-being, some physical and psychological changes can contribute to increased sleep disturbances and worsened sleep quality. Sleep quality has been linked to negative emotions, anxiety and depression. The main objective of this paper was to systematically review the impact of sleep during pregnancy on maternal mood, studying the association between objective and subjective measures of sleep quality and perinatal depression. Methods We performed a systematic review according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, which included studies published between January 2008 and April 2019, and met the following criteria: (i) studies on pregnant women assessing the effects of sleep quality variables on perinatal mood disorders, (ii) studies published in English and (iii) full paper published in a peer-reviewed scientific journal with full-text format available. Results A total of 36 studies published in the last decade met the inclusion criteria for qualitative review and eight of them were suitable for meta-analysis. Both confirmed the negative effects of poor sleep on perinatal mood. However, qualitative analysis showed that unrepresentative samples and low participation rates falling below 80% biased some of the studies. The standard random-effects meta-analysis showed a pooled size effect [ln odds ratio (OR) 1.49 (95% confidence interval [CI] 1.19, 1.79)] for perinatal depression in cases of poor prenatal sleep quality, although heterogeneity was moderate to high [Q 16.05, P ≤ 0.025, H2 2.45 (95% CI 1.01, 13.70)]. Conclusion Poor sleep quality was associated with perinatal mood disturbances. The assessment of sleep quality along the pregnancy could be advisable with a view to offering preventative or therapeutic interventions when necessary.

Download Full-text

064 Higher Resting HRV Enhances Protective Effects of Self-Reported Resilience Against the Impact of Poor Sleep Quality on PTSS

SLEEP ◽

10.1093/sleep/zsab072.063 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A26-A27

Author(s):

Alisa Huskey ◽

Daniel Taylor ◽

Bruce Friedman

Keyword(s):

Sleep Quality ◽

Protective Factor ◽

Stressful Life Events ◽

Regulatory Control ◽

Poor Sleep ◽

Protective Effects ◽

Poor Sleep Quality ◽

Resilience Scale ◽

Negative Impacts ◽

The Impact

Abstract Introduction Poor sleep quality is a well-established risk for posttraumatic symptoms (PTSS; Casement et al., 2012; Germain et al., 2004; 2005). Conversely, self-reported resilience is a well-established protective factor against PTSS (Mealer et al., 2012; Wrenn et al., 2011) and has also been shown to moderate the negative impacts of stressful life events on sleep quality (Li et al., 2019). Fewer studies have investigated whether autonomic indices of regulatory control moderate the impacts of resilience and sleep quality on PTSS. Resting heart rate variability (HRV) is a widely supported measure of top-down regulation of cognitive, behavioral and autonomic outcomes (Thayer & Ruiz-Padial, 2006). Higher HRV has been linked with increased capacity for stress coping as well as regulation of affect and attention (Bornstein & Suess, 2000). This study investigates whether resting HRV moderates the relationship between resilience, sleep quality, and PTSS. Methods Participants completed the PTSD Checklist for DSM-5 criteria (PCL-5), the Pittsburg Sleep Quality Index (PSQI), and the Connor-Davidson Resilience Scale (CD-RISC-10). A resting baseline assessment of electrocardiogram was used to derive resting-state HRV. Participants (N = 42; 86% women; 76% Caucasian) were recruited from college courses and the surrounding community. Results Individuals were grouped into higher and lower HRV. In the lower HRV group, resilience was not related to PTSS, but poorer sleep quality predicted higher PTSS severity (B=.79). Specific components of sleep quality that predicted PTSS in the lower HRV group were sleep disturbance (B=.38) and daytime dysfunction (B=.76). In the higher HRV group, greater resilience predicted lower PTSS severity (B=-.63), but sleep quality was not related to PTSS. Sleeping medication was the only component that predicted PTSS in the higher HRV group, such that less sleep medication was related to higher PTSS (B=-.751). Conclusion These findings suggest that higher HRV in combination with a self-perception of greater resilience are protective factors against PTSS as well as the effects of poorer sleep quality on PTSS. Resting HRV provides an index of regulatory control that may also be a physiological component of resilience. Support (if any) This project was funded by the Dean’s Discovery Fund at Virginia Tech.

Download Full-text

The Role of Sleep Quality in the Psychological Well-Being of Final Year UndergraduateStudents in China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15122881 ◽

2018 ◽

Vol 15 (12) ◽

pp. 2881 ◽

Cited By ~ 3

Author(s):

Keyu Zhai ◽

Xing Gao ◽

Geng Wang

Keyword(s):

University Students ◽

Sleep Quality ◽

Strong Association ◽

Well Being ◽

Poor Sleep ◽

Full Time ◽

Poor Sleep Quality ◽

Psychological Well Being ◽

Normal Sleep

There are increasing numbers of university students in China suffering from poor sleep and psychological well-being problems. In particular, the issues are more severe among the final year undergraduate students, because they are experiencing a transitory period from university life to the workplace. However, extant research has rarely explored sleep quality and psychological well-being of final year university students. To better understand the role of sleep quality in psychological well-being, we examined the association between different sleep quality and mental health. Based on a cross-sectional survey of 2495 full-time final year university students in China, we employed multivariable logistic regression to assess association between sleep quality and psychological well-being by controlling for sociodemographic factors such as age, gender, education, marital or relationship status, household conditions, place of birth, study subjects and etc. According to the research results, we can find strong association between sleep quality and psychological well-being. Having normal sleep quality is associated with lower level of psychological well-being problems. By contrast, poor sleep quality is associated with high level of negative psychological well-being. Poor sleep quality has higher potency than normal sleep quality due to negative bias. Among covariates, age, gender and education have significant effects on psychological well-being.

Download Full-text

1056 Perceived Financial Difficulty Predicts Sleep Quality In Participants With Type 2 Diabetes And Obstructive Sleep Apnea

SLEEP ◽

10.1093/sleep/zsaa056.1052 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A401-A401

Author(s):

J L Morris ◽

L Baniak ◽

S M Belcher ◽

C Imes ◽

F Luyster ◽

...

Keyword(s):

Type 2 Diabetes ◽

Obstructive Sleep Apnea ◽

African American ◽

Sleep Quality ◽

Disease Severity ◽

Poor Sleep ◽

Financial Difficulty ◽

Poor Sleep Quality ◽

Obstructive Sleep

Abstract Introduction People with multiple chronic conditions such as type 2 diabetes (T2D) and obstructive sleep apnea (OSA) are at increased risk for poor sleep quality. It is unclear if social determinants of health (SDoH) such as race, perceived financial difficulty, education, gender, and marital status are associated with sleep quality in this population. The purpose of this cross-sectional secondary analysis of data from the Diabetes Sleep Treatment Trial was to explore SDoH and disease severity as predictors of sleep quality in persons with both OSA and T2D. Methods Disease severity was measured by Apnea-Hypopnea Index [(AHI) ≥ 5] and A1C for glycemic control. SDoH included perceived financial difficulty (none/moderate-severe), race (White/African American), sex (f/m), marital status (no/yes), education (≤ or > 2 years post high school), and age. Sleep quality was measured by Pittsburgh Sleep Quality Index (PSQI). Correlations and linear regression modeling investigated associations between SDoH and disease severity on sleep quality. Post-hoc correlations were explored for significant relations among SDoH. Results The sample (N = 229) was middle-aged (57.6 ± 10.0; 66 % White and 34% African American; and 54 % men vs. 46% women. Participants carried a high burden of disease (mean AHI = 20.7±18.1, mean A1C = 7.9 %±1.7%). Disease severity was not significantly associated with sleep quality (all p >.05). The perception of worse financial difficulty was the only SDoH that predicted worse sleep quality (b=-1.54, p=.015). Characteristics significantly associated with worse financial difficulty were being African American, female, ≤ 2 years post high school, and younger (all p<.01). Conclusion Financial difficulty may be a more important predictor of subjective measures of sleep quality than disease severity in patients with OSA and T2D. Researchers and clinicians should be aware of these characteristics as potential markers of vulnerability to poor sleep quality in this population. Support The National Institute of Diabetes and Digestive and Kidney Diseases (R01DK096028) and through the Clinical +Translational Research Institute grants UL1TR001857 and UL1TR000005.

Download Full-text

Exploration of Sleep Quality and Sleep Hygiene among QU students

University of the Future: Re-Imagining Research and Higher Education ◽

10.29117/quarfe.2020.0181 ◽

2020 ◽

Author(s):

Raja Mahamade Ali ◽

Monica Zolezzi ◽

Ahmed Awaisu

Keyword(s):

University Students ◽

Sleep Quality ◽

Online Survey ◽

Negative Impact ◽

Sleep Hygiene ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional Survey ◽

Sleeping Problems ◽

Good Sleep

Sleep is an important component of healthy lifestyles. Worldwide reports suggest that one in every three adults suffers from insomnia. University students are vulnerable to insomnia due to their stressful lifestyle and inconsistent sleeping schedules, which contribute to poor, sleep hygiene. The purpose of this study is to explore the prevalence of sleeping problems among university students in Qatar and to investigate factors contributing to insomnia development. A cross-sectional survey utilizing two validated sleep questionnaires, the Pittsburgh sleep quality index (PSQI) and the sleep hygiene index (SHI), were administered to Qatar University (QU) students in either English or Arabic. An online survey was sent to all QU students through e-mail. Descriptive and inferential statistics were used to analyse and report the findings. A total of 2,062 students responded to this survey. Most of the respondents were females, Qataris, and the majority of them belonged to the colleges of Arts and Sciences, Business and Economics or Engineering. Around 25% of the participating students reported previous use of sleep aids. The findings indicated that the majority of the students had poor sleep quality (69.7%) and poor sleep hygiene (79%). A positive association was found between sleep quality and sleep hygiene (r = 0.39; p < 0.0001). College distribution and marital status were shown to significantly influence sleep quality (p =0.031 and p=0.02 respectively). The regression analysis revealed that sleep hygiene had the greatest effect on sleep quality (accounting for 7% of the variance) and individuals with good sleep hygiene were 4 times more likely to have good sleep quality. The findings of this study suggest that poor sleep quality and inadequate sleep hygiene practices are common among university students in Qatar, both of which may have a negative impact on students’ academic performance which warrants further investigation in future studies.

Download Full-text

Perceived Stress Mediates the Associations between Sleep Quality and Symptoms of Anxiety and Depression among College Nursing Students

International Journal of Nursing Education Scholarship ◽

10.1515/ijnes-2017-0020 ◽

2018 ◽

Vol 15 (1) ◽

Cited By ~ 11

Author(s):

Yuan Zhang ◽

Anya Peters ◽

Guanling Chen

Keyword(s):

College Students ◽

Nursing Students ◽

Sleep Quality ◽

Perceived Stress ◽

Well Being ◽

Mental Illnesses ◽

Anxiety And Depression ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Increased Risk

AbstractMental illnesses, such as anxiety and depression, are top concerns among college students. Poor sleep quality intensifies the risk of mental illnesses. However, the mechanism for the associations between sleep quality and mental illnesses in college students is not well understood. Online surveys were collected with 242 undergraduate nursing students at a public university in the northeast United States. Multivariate linear regression models suggested that poor sleep quality was associated with an increased risk of symptoms of anxiety (β = 1.08, p < 0.01) and depression (β = 1.00, p < 0.01). Perceived stress mediated the association between sleep quality and symptoms of anxiety by 85.3 %, and mediated the association between sleep quality and symptoms of depression by 60.0 %. This study suggested that in addition to sleep promotion, effective interventions to identify unique stressors in nursing students and facilitate the development of appropriate coping strategies are needed to enhance their mental health and well-being.

Download Full-text

Poor sleep quality is associated with greater negative consequences for neurocognitive and psychological health after mild traumatic brain injury than after orthopedic injury

10.31234/osf.io/hc8jz ◽

2020 ◽

Author(s):

Simen Saksvik ◽

Hanne Smevik ◽

Jonas Stenberg ◽

Truid Follestad ◽

Anne Vik ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Psychological Distress ◽

Sleep Quality ◽

Psychological Health ◽

Negative Impact ◽

Response Speed ◽

Poor Sleep ◽

Response Accuracy ◽

Poor Sleep Quality ◽

Orthopedic Injury

Objective: To test the hypothesis that poor sleep quality has a stronger negative effect on neurocognitive and psychological health after mild traumatic brain injury (mTBI) than after orthopedic injury. Method: Patients with mTBI (n=197) and trauma controls with orthopedic injuries (n=82) were included in this prospective longitudinal study. The participants (age 16-60) completed three computerized neurocognitive tests assessing response speed and accuracy at 2 weeks and 3 months after injury, as well as questionnaires and interviews assessing sleep quality and psychological distress at 2 weeks, 3 months and 12 months after injury. Separate linear mixed models (LMMs) for each of the outcome measures (response speed, response accuracy, psychological distress) were performed. Results: We observed a significant interaction effect between poor sleep quality and group (mTBI vs trauma controls) in the response speed (p=0.021) and psychological distress (p=0.001) models, driven by a greater negative impact of poor sleep quality on response speed and psychological distress in the mTBI group. We found no such interaction effect for response accuracy (p=0.825), and poor sleep quality was associated with worse accuracy to a similar extent for both groups. Conclusions: Our findings show that poor sleep quality has a more negative impact on neurocognitive and psychological outcome in patients with mTBI, compared to trauma controls. This indicates an increased vulnerability to poor sleep quality in patients who has suffered a mTBI.

Download Full-text