The association between sleep quality and quality of life: a population-based study

ObjectivesThis study aimed to evaluate the association between sleep quality and quality of life (QoL).MethodsThis cross-sectional study included 225,541 adults (101,133 men, 124,408 women) who participated in the 2018 Korean Community Health Survey. Multiple sociodemographic and psychosocial variables were evaluated and compared between participants with poor (n = 67,619) and good sleep quality (n = 157,922); sleep quality was subjectively determined using the Pittsburgh Sleep Quality Index (PSQI). The EuroQol five-dimension (EQ-5D) index scores were adjusted for multiple confounding factors and compared between the good and poor sleep quality groups. A logistic regression analysis was used to identify determinants of the lowest quartile of QoL.ResultsThe mean EQ-5D index scores were significantly lower in the poor sleep quality group (score 0.85) than in the good sleep quality group (score 0.92; p < 0.001). The multivariate odds ratio (OR) for the lowest quartile of the EQ-5D index scores in the poor sleep quality group versus that in the good sleep quality group was 1.95 (95% confidence interval [CI], 1.89–2.00). Participants with poor sleep quality were more likely than those with good sleep quality to have some or severe problems with physical activity (OR, 1.46; 95% CI, 1.41–1.51), self-control (OR, 1.35; 95% CI, 1.29–1.42), daily activity (OR, 1.44; 95% CI, 1.39–1.50), pain (OR, 1.81; 95% CI, 1.77–1.86), and anxiety/depression (OR, 2.24; 95% CI, 2.17–2.31).ConclusionPoor sleep quality is associated with impaired QoL, particularly if some or severe problems with anxiety/depression are present.     

Temporomandibular disorder severity and diagnostic groups: Their associations with sleep quality and impairments

ObjectivesThis study evaluated the impact of TMD severity on sleep quality and established the associations between TMD diagnostic groups/pain subtypes and sleep impairments.MethodsA total of 1151 patients from a tertiary Dental Hospital were screened for eligibility. Consenting subjects who met the inclusion criteria were directed to complete a general/health questionnaire, the Fonseca Anamnestic Index (FAI), Diagnostic Criteria for Temporomandibular disorders (DC/TMD) Symptom Questionnaire, and Pittsburgh Sleep Quality Index (PSQI) at their intake visit. Patients who screened positive for TMDs with the FAI were subjected to a protocolized physical examination and TMD diagnostic groups/subtypes were subsequently derived based on the DC/TMD “diagnostic tree” and algorithms. Statistical analyses were conducted using non-parametric methods and logistic regression (α = 0.05).ResultsThe final sample consisted of 845 subjects with TMDs and 116 TMD-free controls. The mean age of the TMD and TMD-free subjects were 33.17 ± 13.55 and 31.66 ± 9.50 years. Subjects with severe and moderate TMDs had significantly greater global PSQI scores than those with mild and no TMDs (p < 0.001). Those with pain-related, intra-articular, and combined TMDs reported significantly poorer sleep quality than those with no TMDs (p < 0.001). Moreover, subjects with myalgia and myalgia plus arthralgia presented significantly greater sleep impairments than their counterparts with intra-articular disorders (p < 0.001). Multivariate logistic regression indicated that pain-related (OR = 3.23; CI = 1.69–6.14) and intra-articular TMDs (OR = 1.91; CI = 1.15–3.16) were most related to poor sleep.ConclusionsSleep quality worsened with increasing TMD severity and the presence of painful and intra-articular TMDs increased the likelihood of poor sleep.     

Relationship between sleep quality and the psychological status of patients hospitalised with COVID-19

AimWe explored the sleep quality of patients who required mental health and clinical interventions in our hospital after being diagnosed with COVID-19.MethodWe enrolled 189 patients hospitalised with COVID-19 in April and May of 2020, of whom 78 were female and 111 male. We evaluated sleep quality and related factors in terms of demographic characteristics, the duration of hospitalisation, and Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety-Depression Scale scores.ResultsAll participants were divided into two groups according to PSQI score: n = 102 (54%) patients with PSQI scores ≥5 and n = 87 (46%) patients with PSQI scores <5. No significant between-group difference was evident in terms of age, gender, marital status, educational level, or chronic disease history. The duration of hospitalisation (p = 0.002) and the depression rate (p = 0.010) were higher in the group exhibiting poor sleep quality (PSQI score ≥5).ConclusionThe duration of hospitalisation was longer in patients experiencing poor sleep quality. Therefore, improvement in sleep quality will reduce the length of hospital and intensive care unit stays.     

Prevalence and associated factors of poor sleep quality among Chinese returning workers during the COVID-19 pandemic

ObjectivesThe 2019 novel coronavirus (COVID-19) pandemic is a severe global crisis which has resulted in many public health problems. This study aimed to investigate the prevalence of poor sleep quality and its related factors among employees who returned to work during the COVID-19 pandemic.MethodsOur online cross-sectional study included 2,410 participants aged ≥17 years in Deqing and Taizhou, Zhejiang Province, China from 5th to 14th March 2020. The questionnaire covered information on demographic characteristics, health status, workplace, lifestyle, attitude towards COVID-19, assessment of anxiety, depression and sleep quality. The Chinese version of the Pittsburgh Sleep Quality Index (CPSQI) was administered to measure the poor sleep quality. Poor sleep quality was defined as a global PSQI score>5. Factors associated with sleep quality were analyzed by logistic regression models.ResultsIn sum near half (49.2%) of 2,410 returning workers were females and the average year of subjects was 36.3 ± 9.1 years. The overall prevalence of poor sleep quality was 14.9% (95%CI: 13.5%–16.3%). The average score of PSQI was 3.0 ± 2.5 and average sleep duration was 7.6 ± 1.2 h. Independent related factors of poor sleep quality included age older than 24 years, higher education level, negative attitude towards COVID-19 control measures, anxiety and depression.ConclusionsPoor sleep quality was common and there was a shorter sleep duration among returning workers during the COVID-19 pandemic. Possible risk factors identified from this study may be of great importance in developing proper intervention for the targeted population to improve the sleep health during the COVID-19 public health emergency.     

Predialysis fluid overload linked with quality of sleep in patients undergoing hemodialysis

ObjectiveHemodialysis (HD) patients are exposed to dysregulated fluid balance which can lead to overhydration. Poor sleep quality and excessive daytime sleepiness are particularly common in these patients, however the relationship between fluid status and sleep quality and daytime sleepiness has not yet been studied. Therefore, the aim of this study is to evaluate the correlations between fluid status and sleep quality and daytime sleepiness in HD patients.MethodThis cross-sectional study included 115 HD patients and 30 healthy control subjects from the HD center of Shanghai Ninth People's Hospital. Fluid compartments [total body water (TBW)], extracellular water (ECW)] and overhydration index (OH) were analyzed by multifrequency bio-impedance (BCM). Overhydration was defined as OH/ECW≥7%. HD patients were divided into an overhydration group and non overhydration group according to OH/ECW. Sleep quality was assessed by the Chinese version of the Pittsburgh Sleep Quality Index (PSQI), and excessive daytime sleepiness was evaluated by the Epworth Sleepiness Scale (ESS).ResultsThe prevalence rate of fluid overload in HD patients was 65.2%. Poor sleep quality (PSQI≥5) and excessive daytime sleepiness (ESS≥11) were significantly higher in HD patients compared with the healthy controls [6 (3, 10) vs.2.11 ± 1.59, p = 0.000; 3 (0, 6) vs.1.68 ± 1.07, p = 0.045]. Furthermore, the PSQI scores were higher in HD patients with overhydration (7.8 ± 4.5 vs. 4.8 ± 3.2, p = 0.000). The component scores 1, 2, 3 and 5 of the PSQI showed significant differences between the overhydration and non overhydration groups. The ESS scores did not show differences between the two groups (3.9 ± 4.1 vs. 3.3 ± 3.5, p = 0.508). OH was correlated with Systolic BP and Diastolic BP, and additionally was an independent predictor of poor sleep quality.ConclusionFluid overload is significantly linked with poor quality of sleep in HD patients, however there is no association with excessive daytime sleepiness. Our study provides new insight into possible treatment strategies. Future studies should examine the effects of optimizing fluid status on quality of sleep.     

Quality of life and procrastination in post-H1N1 narcolepsy,sporadic narcolepsy and idiopathic hypersomnia,a Swedish cross-sectional study

Objective/BackgroundA cross-sectional study of health-related quality of life (HRQoL), procrastination and the relation to sleepiness, depression and fatigue in post-H1N1 narcolepsy type 1 (NT1), sporadic NT1 and idiopathic hypersomnia (IH).Patients/MethodsParticipants with NT1 and IH were enrolled from the Department of Neurology, Sahlgrenska University Hospital in Gothenburg (Sweden). All participants completed questionnaires about medication, employment, studies, transfer income, sleepiness, HRQoL, depression, fatigue and three questionnaires for procrastination.ResultsPost-H1N1, sporadic NT1 and IH all scored higher than healthy controls on Epworth Sleepiness Scale (ESS), Patient Health Questionnaire (PHQ-9) and Fatigue Severity Scale (FSS), whereas EQ-5D-5L index and VAS was lower than for healthy individuals, but with no difference between groups. Post-H1N1 NT1 had a larger proportion of participants prescribed with sodium oxybate (44% vs. 9%, p = 0.003) and dexamphetamine (62% vs. 17%, p = 0.03) compared to sporadic NT1. The latter also in significantly higher doses than in sporadic NT1 (46 ± 12 vs. 25 ± 10 and 47.5 ± 21 mg, p < 0.0001). Post-H1N1 NT1 also had significantly higher scores on Pure Procrastination Scale (PPS), Irrational Procrastination Scale (IPS) and Susceptibility to Temptation Scale (STS), indicating a higher degree of procrastination. Multivariate analysis showed that depression, and to some extent fatigue, were predictors in NT1 for both HRQoL and procrastination.ConclusionsThe results show that health-related quality of life is impaired and tendency to procrastinate is higher in patients suffering from NT1 and both attributes can in part be explained by depressive symptoms. These findings highlight the impact of symptoms other than sleep and wakefulness regulation in patients with NT1.     

Preliminary study of the association of serum irisin levels with poor sleep quality in rheumatoid arthritis patients

Study objectivesSleep disorders are significant problems in patients with rheumatoid arthritis (RA) and are associated with poor quality of life. Irisin is myokine which may have anti-inflammatory and energy regulatory roles. This study assessed the association of serum irisin levels with the quality of sleep and disease activity in RA patients.MethodsIn sum, 58 RA patients and 30 matched healthy controls were included. Disease activity score in 28 joints (DAS28-ESR) and the patients’ global score were calculated. RA patients were grouped according to the Pittsburgh Sleep Quality Index score (PSQI) into good-sleepers (group 1) defined as a PQSI score≤5 and poor sleepers (group 2) with a PSQI > 5. Serum irisin levels were measured for both patients and controls by commercially available enzyme-linked immunosorbent assay kits.ResultsPoor sleep quality was found in 26 (45%) of the RA patients. Irisin levels were significantly lower in RA patients with poor sleep compared to those with good sleep and healthy controls (p < 0.001). Serum irisin levels correlated inversely with disease duration, morning stiffness duration, DAS28-ESR, global score, and total PSQI score (r = −0.722 to −0.263 & p values≤0.001–0.04) indicating a possible anti-inflammatory role of irisin in RA patients. The analysis employed Student's t-test, ANOVA, and Pearson correlation.ConclusionsIrisin levels were decreased in RA patients with poor sleep quality compared to RA patients with good sleep quality and healthy controls, indicating a possible association of decreased serum irisin with sleep impairment in RA patients.     

Sleep quality and health service utilization in Chinese general population: a cross-sectional study in Dongguan,China

ObjectivesThe aims of this study were to explore the Pittsburgh Sleep Quality Index (PSQI) and health service utilization in Chinese general population, to investigate the association between PSQI and health service utilization and to identify the independent contributions of social demographic variables, health related factors and PSQI to health service utilization.MethodsIn a cross-sectional community-based health survey using a multi-instrument questionnaire, 4067 subjects (≥15 years old) were studied. The Chinese version of the PSQI was used to assess sleep quality. Health service utilization was measured by recent two-week physician visit and annual hospitalization rates.ResultsHigher PSQI scores were associated with more frequent health service utilization. Higher scores in subjective sleep quality were associated with higher rate of recent two-week physician visit (adjusted OR = 1.24 per SD increase, P = 0.015). Higher scores in habitual sleep efficiency (adjusted OR = 1.24 per SD increase, P = 0.038) and sleep disturbances (adjusted OR = 2.09 per SD increase, P < 0.001) were associated with more frequent annual hospitalization. The independent influence of PSQI on the risk of recent two-week physician visit was 0.7%, and that of annual hospitalization 31.4%.ConclusionsPoorer sleep quality predicted more frequent health service utilization. The independent contribution of PSQI on health service utilization was smaller than social demographic variables.     

Association between loneliness,sleep behavior and quality: a propensity-score-matched case–control study

ObjectiveTo explore the influence of loneliness on sleep behavior and sleep quality based on propensity score-matched samples in Southwest China.MethodsIndividual-level data were obtained from a Southwest China cohort study. Participants who felt lonely were matched with those who did not with propensity scores on the basis of age, gender, socioeconomic factors, physical exercise and social connection level. Sleep behavior (onset and offset timing), sleep quality (sleep latency, nocturnal awakenings and subjective sleep quality), and daytime function (daytime sleepiness and fatigue) were assessed with the Pittsburgh Sleep Index Scale (PSQI) and compared between the two groups. The data were collected between May 2019 and December 2019, and data analyses were completed in April 2021.ResultsA total of 11,696 participants were included, and 824 out of 839 participants who felt loneliness were statistically matched with 824 participants who did not. Analyses of the matched samples showed that sleep onset and offset timing were similar between those who felt lonely and those who did not (p = 0.110 and p = 0.751, respectively). Sleep latency was longer in those who felt lonely (26.84 [0.9] vs. 35.52 [1.2] min, p < 0.001) than in those who did not. Furthermore, participants who felt lonely tended to have poor subjective sleep, a higher frequency of nocturnal awakenings, daytime sleepiness and fatigue (all p < 0.001).ConclusionsLoneliness was associated with extended sleep latency, increased nocturnal awakenings, and reduced subjective sleep quality and daytime function but was not associated with sleep behavior, including sleep onset and offset timings.     

Abnormal night sleep duration and poor sleep quality are independently and combinedly associated with elevated depressive symptoms in Chinese rural adults: Henan Rural Cohort

ObjectiveTo assess the independent and combined effects of night sleep duration and sleep quality on depressive symptoms.MethodsA total of 28,202 participants (11,236 males and 16,966 females) aged 18–79 years from the Henan Rural Cohort were included in this study. Night sleep duration and sleep quality were defined by the Pittsburgh Sleep Quality Index (PSQI). Logistic regression and restricted cubic splines were applied to evaluate the association of night sleep duration and sleep quality with depressive symptoms.ResultsA U-shaped dose-response relationship between night sleep duration and depressive symptoms along with a J-shaped relationship between sleep quality and depressive symptoms were observed. Compared with reference group (7-<8 h), shorter sleep duration (<6 h) and longer sleep duration (≥10 h) were associated with increased risk of depressive symptoms in males (short sleep: Odds Ratio (OR) = 1.84, 95% confidence interval (CI), 1.34–2.52; long sleep: OR = 1.56, 95% CI, 1.01–2.42) and females (short sleep: OR = 2.19, 95% CI, 1.77–2.70; long sleep: OR = 1.51, 95% CI, 1.10–2.10). Compared with good sleepers, poor sleepers had 4.23-fold (95% CI:3.54–5.06) and 3.87-fold (95% CI: 3.41–4.40) increased odds of depressive symptoms in males and females. Furthermore, participants with longer night sleep duration (≥10 h) and poorer sleep quality had the strongest effect on depressive symptoms (males: OR = 6.64, 95% CI, 3.21–13.74; females: OR = 7.76, 95% CI, 5.00–12.02).ConclusionsExtreme night sleep duration and poor sleep quality were independently and combinedly related to elevated depressive symptoms, suggesting that keeping optimal night sleep duration and good sleep quality maybe benefit for maintaining mental health.Trial registrationChinese Clinical Trial Register. Registration number: ChiCTR-OOC-15006699.     

Maternal sleep quality during early pregnancy,risk factors and its impact on pregnancy outcomes: a prospective cohort study

ObjectivesWe aimed to assess the prevalence of poor sleep quality during early pregnancy and its risk factors, and to explore the association between sleep quality and adverse pregnancy outcomes.MethodsThis was a prospective birth cohort study that included 4352 pregnant women. Sleep quality were assessed using the Pittsburgh Sleep Quality Index (PSQI). The risk factors for poor sleep quality were analyzed by a logistic regression model. Log-binomial regression models were used to analyze the association between sleep quality and pregnancy outcomes.ResultsThe prevalence of maternal poor sleep quality during early pregnancy was 34.14%. The multivariate logistic model showed that stillbirth history (OR = 2.45; 95% CI: 1.34, 4.47), history of induced abortion (OR = 1.26; 95% CI: 1.07, 1.49), general health-related quality of life (OR = 3.98; 95% CI: 2.97, 5.34), insufficient physical activity (OR = 1.18; 95% CI: 1.03, 1.36), smoking (OR = 1.59; 95% CI: 1.18, 2.15), and vegetarian (OR = 2.18; 95% CI: 1.54, 3.08) were risk factors for poor sleep quality, while taking folic acid consistently before pregnancy (OR = 0.83; 95% CI: 0.72,0.97) was the protective factor. After controlling for all the confounders, poor sleep quality during early pregnancy increased the risk of premature rupture of membranes by 12% (95% CI: 1.00, 1.25).ConclusionPregnant women with a history of stillbirth and induced abortion, general health-related quality of life, insufficient physical activity, smoking, and a vegetarian diet tended to have poor sleep quality. More attention should be paid to healthy lifestyle of pregnant women to improve sleep quality and better pregnancy outcomes.     

The association of sleep quality and night sleep duration with coronary heart disease in a large-scale rural population

ObjectiveThe purposes of the present study were to explore independent and interactive associations between night sleep duration, night sleep quality and coronary heart disease (CHD) based on a rural population in China.MethodsA total of 27,935 participants (11,177 men and 16,758 women) were investigated from the Henan Rural Cohort. Information about sleep was assessed by using the Pittsburgh Sleep Quality Index (PSQI). Restricted cubic splines and logistic regression were used to estimate the relationship between night sleep duration and quality with CHD.ResultAmong the 27,935 participants, 1506 participants with CHD were identified. Compared with participants with scores lower than 3, the odds ratios (ORs) and 95% confidence intervals (95% CIs) of participants with score of 3–5, 6–8, ≥9 were respectively 1.42 (1.24–1.63), 1.99 (1.70–2.33), and 2.56 (2.13–3.08) with full adjustment of covariates. Compared with night sleep duration of 7 h, men and women who slept less than 5 h were 1.55 (1.11–2.17), 1.12 (0.59–2.12) and 1.80 (1.20–2.68), after being adjusted ORs (95% CIs) of the total. Moreover, the ORs and 95% CIs of CHD increased with the shortening of sleep duration at PSQI score above the highlighted levels.ConclusionPoor sleep quality and short night sleep duration were all associated with CHD in Chinese rural areas. Moreover, the association was more obvious in women. In addition, the strongest prevalence of CHD was found in short sleepers with poor sleep quality.     

Subjective sleep quality in adult patients affected by Duchenne muscular dystrophy. Beyond nocturnal hypoventilation

ObjectiveIn stable neuromuscular patients under long-term non-invasive ventilation (NIV), subjective sleep quality may be predicted by chronic hypoventilation, as assessed by base excess (BE), and %N3 sleep stage duration. In this study, we explored how other variables, closely associated with self-reported health complaints, contributed to subjective sleep quality in adult patients with Duchenne muscular dystrophy (DMD).MethodsThis is a secondary analysis of a quality of life study in 48 adult DMD patients under NIV therapy, with little evidence of residual hypoventilation. Subjective sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI). A PSQI score >5 was considered indicative of poor sleep quality. Several other symptoms were evaluated: sleepiness, by the Epworth Sleepiness Scale (ESS); depression and anxiety, by the anxiety and depression subscales of the Hospital Anxiety and Depression Scale (HADS-A and HADS-D); autonomic symptoms, by the Composite Autonomic Symptom Score 31; pain, by the Numeric Pain Rating Scale (NPRS); and fatigue, by the Fatigue Severity Scale (FSS).ResultsMean PSQI was 6.1 ± 2.9. Abnormal scores were found for NPRS in 40, for HADS-A in 10 and for FSS in 24 subjects. The NPRS, HADS-A and FSS scores and the N3 sleep stage, independently predicted PSQI (R² = 0.47, p < 0.0001).ConclusionsIn adult DMD patients, pain, fatigue and anxiety may have a prominent influence on subjective sleep quality. Improvement of sleep quality may be of utmost importance in DMD, as it may ameliorate quality of life and extend its benefits to cardiovascular morbidity and life expectancy.     

Sleep problems affect quality of life in Parkinson's disease along disease progression

ObjectivesNon-motor symptoms (NMS) frequently impact health-related quality of life (HRQoL) in patients with Parkinson's Disease (PD). Sleep problems represent one of the main NMS complained by PD patients. In this observation study, sleep problems measured by Parkinson's Disease Sleep Scale - 2nd version (PDSS-2), and HRQoL measured by Parkinson's Disease Questionnaire-39 (PDQ39) were quantified in patients with PD ranging from mild to moderate-advanced disease stages, and correlated to motor impairment and anti-PD therapy.MethodsWe included idiopathic PD patients who underwent PDSS-2 and PDQ39. Moreover, we assessed patients' motor symptoms by rating the Unified Parkinson's Disease Rating Scale (UPDRS) - III section (motor examination), patients' PD status following H&Y stage, and levodopa equivalent daily dose (LEDD).ResultsOne-hundred and fifty-four patients with PD were included and distributed for H&Y stage. PDSS-2 and PDQ39 total and sub-items scores significantly increased with the H&Y stage. PDSS-2 total score significantly correlated with PDQ39 total score (γ = 0.63, P < 0.01). Finally, distributing PD patients according to the PDSS-2 cut-off for detecting sleep disturbances, we found in poor sleepers (n = 58) higher PDQ39 scores than good sleepers (n = 89).ConclusionsSleep problems are very common in patients with PD and severely impact on HRQoL. Sleep impairment and low HRQoL occur from the early stages of the disease and deteriorate along disease progression. Further studies investigating sleep and quality of life should be planned for targeting sleep improvement to increase HRQoL and possibly reduce motor impairment.     

Burden and health-related quality of life among caregivers of Brazilian Parkinson's disease patients

PurposeTo analyze the main determinants of burden and health-related quality-of-life (HRQoL) in caregivers of Brazilian Parkinson's disease (PD) patients.MethodsCaregivers answered Hospital Anxiety and Depression Scale (HADS), Zarit caregiver burden interview (ZCBI) and EQ-5D, a generic measure of HRQoL. Patients were assessed with Hoehn and Yahr (H&Y) staging; Scales for Outcomes in Parkinson's disease (SCOPA) Motor, Cognition, Psychosocial and Sleep scales; Non-Motor Symptoms Scale; HADS; Clinical Impression of Severity Index; EQ-5D and Parkinson's Psychosis Rating Scale.Results50 Caregiver-patient dyads were assessed. Caregivers were significantly younger (55.7 vs. 65.4 years), p < 0.0001. Eighty-eight per cent of caregivers were females, and 78% were spouses. The proportion of caregivers who scored ≥11 points in the HADS-anxiety or HADS-depression subscales was 12% and 14% respectively. ZCBI mean score was 20.2 (SD 12.8), and significantly worsened as severity of disease, based on H&Y, increased (H&Y 1–2: 16.4, H&Y 3–5: 24.6; p = 0.02). Caregiver's EQ-5D Index and visual analog scale mean scores were 0.7 (SD: 0.26) and 76.3 (SD: 16.2) respectively. Weak to moderate association (r = ?0.27 to ?0.39) between EQ-5D Index and ZBCI mean scores was observed in caregivers. Patient outcomes (sleep disorders and behavioral-psychotic symptoms) and caregiver outcomes (mood, time of caregiving) were independent predictors of caregiver burden (adjusted R² = 0.55; p < 0.0001) in the multivariate regression analysis. Caregiver's mood status was a significant determinant of caregiver's HRQoL, as measured by the EQ-5D Index (adjusted R² = 0.28; p = 0.006).ConclusionsPatients' psychiatric and sleep disorders and caregiver's mood significantly influenced burden and HRQoL in Brazilian PD caregivers.     

An investigation of potential coronaphobia-related factors in adults and sleep quality relations

BackgroundThe study aimed to investigate potential coronaphobia-related factors in adults and to assess the relationship between coronaphobia and sleep quality.MethodsThis cross-sectional study was conducted in 1262 participants. The Covid-19 Phobia Scale (C19P-S) and Jenkins Sleep Scale (JSS) were used to measure outcomes. Univariate and multivariate logistic regression analyses were constructed to determine risk factors for coronaphobia. Pearson correlation coefficient was used to assess the correlation between C19P-S and JSS.ResultsThe following risk factors were found to be associated with coronaphobia: gender, marital status, presence of chronic disease, staying home, and sleep disturbances. Female gender (OR = 2.23 and OR = 2.12), being married (OR = 1.31 and OR = 1.45), chronic disease status (OR = 1.39 and OR = 1.27), staying home (OR = 1.72 and OR = 1.35) and sleep disturbances (OR = 2.63 and OR = 2.49) were found to be associated with the likelihood of having a higher coronaphobia score (p < 0.05). Weak positive correlations were found between C19P-S and its subscales and JSS scores (p < 0.001).ConclusionsFemale gender, being married, having chronic diseases, staying home, and having sleep disturbances were found to be risk factors for having high coronaphobia scores. Moreover, the severity of coronaphobia was associated with sleep disturbances. These results should be considered in the management of coronaphobia.     

Subjective memory complaints in an elderly population with poor sleep quality

Objectives: The association between sleep disturbances and cognitive decline in the elderly has been putative and controversial. We evaluated the relation between subjective sleep quality and cognitive function in the Korean elderly.

Method: Among 459 community-dwelling subjects, 352 subjects without depression or neurologic disorders (mean age 68.2?±?6.1) were analyzed in this study. All the participants completed the Korean version of the consortium to establish a registry for Alzheimer's disease neuropsychological battery (CERAD-KN) as an objective cognitive measure and subjective memory complaints questionnaire (SMCQ). Based on the Pittsburgh sleep quality index, two types of sleepers were defined: ‘good sleepers’ and ‘poor sleepers’.

Results: There were 192 good sleepers (92 men) and 160 poor sleepers (51 men). Poor sleepers reported more depressive symptoms and more use of sleep medication, and showed higher SMCQ scores than good sleepers, but there was no difference in any assessments of CERAD-KN. In the regression analysis, depressive symptoms and subjective sleep quality were associated with subjective memory complaints (β = 0.312, p < 0.001; β = 0.163, p = 0.005).

Conclusion: In the elderly without depression, poor sleep quality was associated with subjective memory complaints, but not with objective cognitive measures. As subjective memory complaints might develop into cognitive disorders, poor sleep quality in the elderly needs to be adequately controlled.     

Prevalence,patterns and socio-demographic correlates of sleep duration in adolescents: results from the LabMed study

ObjectiveThe aim of this study was to report the prevalence of adequate sleep and the correlates of sleep duration in Portuguese adolescents aged 12–18 years.MethodsCross-sectional analysis with 1017 adolescents (471 girls) aged 14.6 ± 1.8 years. Adolescents self-reported their sleep duration.ResultsThe percentage of adolescents meeting the guidelines was 72.7%, 60.7% and 51.3%, during a whole week, on weekdays and on weekends, respectively. Boys were always more compliant with the guidelines than girls, for all week categories. A significant difference was found on sleep duration on weekends, between boys and girls (p < 0.001). During weekdays, more adolescents were classified as short sleepers when compared to long sleepers. Younger adolescents were more likely to meet the guidelines over the whole week and on weekdays (OR = 2.23, OR = 2.13, respectively; p < 0.05) and being long sleepers on weekends (OR = 1.49, p < 0.05). Those of medium and low SES were less likely to meet the sleep guidelines for all week categories (p _trend<0.001). Girls were more likely than boys to meet the guidelines or being long sleepers on weekends (OR = 1.78, OR = 2.85, respectively; p < 0.05).ConclusionsDuring weekends, the percentage of girls sleeping more than recommended is high, indicating a clear compensation of low sleep duration during weekdays. Those of low SES and older adolescents were less likely to meet the sleep guidelines. Policy makers and researchers should consider the potential effects that SES, gender and age might have on sleep duration, when designing targeted interventions to promote adequate sleep duration.     

Associations of accelerometer-based sleep duration and self-reported sleep difficulties with cognitive function in late mid-life: the Finnish Retirement and Aging Study

ObjectivesPrior evidence suggests that sleep duration and sleep difficulties may be associated with cognitive function in old age, but little is known about the sleep–cognition association in late mid-life. Our aim was to examine the associations of accelerometer-based sleep duration as well as subjective sleep difficulties with different domains of cognitive function among aging workers.MethodsThe study population consisted of 289 participants (mean age 62.4 years, SD 1.02; 83% women) from the Finnish Retirement and Aging Study (FIREA). Sleep difficulties were measured using Jenkins Sleep Problem Scale (difficulties falling asleep, difficulties maintaining sleep, waking up too early in the morning, and nonrestorative sleep). Sleep duration was measured with wrist-worn accelerometer and self-report, and participants were divided into short (<7 h/night), mid-range (7–9 h/night) and long (≥9 h/night) sleepers. Participants underwent extensive cognitive testing covering three domains: (1) memory, (2) executive function, and (3) attention and information processing.ResultsGreater difficulties in waking up too early in the morning were associated with poorer executive function measured with Spatial Working Memory (SWM) test (p = 0.005). Additionally, nonrestorative sleep was associated with poorer executive function measured with Trail Making Test, B–A, (p = 0.036) and borderline significantly with lower SWM (p = 0.056). Compared to mid-range sleepers, long sleepers tended to have poorer cognitive function (all memory function tests and SWM), but the associations were not statistically significant due to small number of long sleepers.ConclusionsSubjective sleep difficulties may be linked to poorer executive function in a relatively healthy population of older workers in their 60 s. Thus, promoting good sleep quality may translate into better cognitive health in late mid-life.