Effect Of Sleep Quality Research Articles

Effect of sleep quality on wound healing among patients undergoing emergency laparotomy: an observational study.

To study the association between sleep-quality, total sleep duration and wound-healing among adult patients having good sleep-quality at the time of admission in hospital, undergoing laparotomy for various reasons. In this observational study , consecutive adult subjects undergoing emergency laparotomy were followed up until the eighth postoperative day. The primary outcome (wound healing) was assessed using the Southampton Wound Grading System. Sleep quality (assessed by the single item sleep quality scale) was the primary predictor. Pain was assessed using visual analogue pain scale. We studied the effect of postoperative sleep quality on wound healing on postoperative day 8. Secondary analyses assessed the effect of total sleep time, severity of pain and markers of systemic inflammation on wound healing. In this study 110 participants were included. The average age of participants was 41.7±16.2 years. On postoperative day 8, 34.5% rated their sleep quality as "poor to fair" and rest as "good". Postoperative poor sleep quality was associated with impaired wound healing, starting from third postoperative day (P<0.001 for each subsequent day). Multiple logistic regression was overall significant (χ2= 118.40; df=9; P<0.001), classified 92.7% cases correctly and explained 88% variance to the outcome. This model showed that shorter total-sleep-time (P=0.009), higher total leukocyte count (P=0.005), presence of comorbidities (P=0.01) and poor sleep quality during the postoperative week (OR=78.14; P=0.005) increased odds for impaired healing of wound. Poor sleep quality during the healing phase is associated with wound complications, a surrogate marker of impaired wound healing.

The Effects of Sleep Quality and Academic Concentration on Academic Achievement in Nursing Students

The Effects of Sleep Quality and Academic Concentration on Academic Achievement in Nursing Students

Effect of sleep quality on repetitive transcranial magnetic stimulation outcomes in depression.

While repetitive transcranial magnetic stimulation (rTMS) is effective for 50-60% of those treatment-resistant depression, it is critical to identify predictors of response for optimal patient selection to improve therapy. Insomnia is a known symptom of depression that is both correlated with depression severity and associated with poor antidepressant response. Therefore, understanding this relationship may open new opportunities for the optimization of rTMS treatment. We aimed to explore whether baseline sleep quality, specifically insomnia, is associated with rTMS outcomes in a naturalistic sample of 975 patients (age 18-90; 63.9% F) receiving a standard course of rTMS treatment from two outpatient TMS clinics located within psychiatric hospitals in the United States. One site additionally collected information on concurrent medication use on 350 patients; among these, we examined whether pharmacological treatment of insomnia affected TMS treatment response. Depression was measured using the 30-item Inventory of Depressive Symptomology Self Report (IDS-SR) in site one and an abbreviated 16-item Quick Inventory of Depressive Symptomology (QIDS) derived from the IDS-SR in site two. Sleep disturbances were measured using three insomnia-related questions. Multilevel logistic regression was used to determine whether baseline insomnia scores were associated with TMS treatment outcome. Upon dichotomous categorization of the sample by insomnia and sleep-medication use, depression and sleep scores were analyzed across time using mixed repeated measures ANOVA. We found that sleep quality improves after TMS (p<.001) and correlates with improvement in non-insomnia related depression symptoms (r= .318, p<.001). We found that among those who had significant insomnia at baseline, those not using sleep medications had significantly worse post-treatment IDS-SR scores compared to those using sleep medications (p=. 021) despite no difference in final insomnia score. Together, our results suggest that while baseline insomnia is not associated with TMS effectiveness, treating insomnia may affect the trajectory of TMS therapy. Future prospective studies are needed to examine the effect of insomnia treatment alongside TMS for depression.

Relationship between cognitive function and sleep quality in middle-aged and older adults for minimizing disparities and achieving equity in health: Evidence from multiple nationwide cohorts

BackgroundCognitive decline, a heavy burden on middle-aged and older adults as global aging is aggravated, was found to be associated with sleep quality. However, the country-between heterogeneity of the association prevented us from quantifying underlying relationship and identifying potential effect modifiers for vulnerable populations and targeted interventions. MethodsWe collected data from 79,922 eligible adults in five nationwide cohorts, examined the respective relationships between cognitive function and sleep quality, synthesized underlying average relationships by meta-analysis, and explored effect modifiers by meta-regressions. Additionally, we conducted subgroup and interaction analyses to identify vulnerable populations and to determine their disparities in vulnerability. ResultsAlthough country-between disparities exist, cognitive function is robustly associated with sleep quality in middle-aged and older adults worldwide, with an effect (β) of 0.015 [0.003, 0.027]. Executive function is the subdomain most relevant to sleep quality. Disparities in the effects of sleep quality on subdomains exist in populations with different sexes (orientation: βfemale/βmale = 1.615, P = 0.020), marital statuses (orientation: βunmarried/βmarried = 2.074, P < 0.001), education levels (orientation:βuneducated/βeducated = 2.074, P < 0.001) and chronic disease statuses (memory: βunhealthy/βhealthy = 1.560, P = 0.005). ConclusionsCognitive function decreases with worsening sleep quality in middle-aged and older adults. Vulnerability to poor sleep generally persists in singles, females, the uneducated and people with chronic diseases. To minimize disparities and achieve health equity, we advocate for targeted interventions, i.e., encouraging socialization in singles, confirming effectiveness of hormone replacement therapy in females, employing compulsory education in middle-aged and older adults.

The Influence of Sleep Quality on Learning Concentration in Students

In the learning process, a person needs concentration to be able to understand and interact with his environment. One of the things needed in order to concentrate on studying is to maintain good quality sleep. Therefore, this experimental study aims to measure and identify whether there is an effect of sleep quality on learning concentration in Psychology students of UIN Raden Fatah Palembang. This study uses a quantitative experimental technique with a Static Group Comparison design. The population of this study was the active students of the Faculty of Psychology, UIN Raden Fatah Palembang, amounting to 882 people. Determined 30 respondents as a sample selected by purposive sampling technique. Respondents were divided into 2 groups. The first group consisted of 15 respondents with the classification of staying up late, and group 2 consisting of 15 respondents with the classification of regular normal sleep. The data collection technique was through a questionnaire sheet and then analyzed using the chi-squere test.

Sleep quality predicts future mood symptoms in adolescents with bipolar disorder

BackgroundPoor sleep is prevalent in adolescents with bipolar disorder, precedes illness onset, and is associated with worse mood symptoms. We examined interrelationships between sleep quality and mood symptoms in adolescents with bipolar disorder, particularly effects of sleep quality on emergent mood symptoms. MethodsAdolescents with bipolar disorder participated in a two-year longitudinal treatment study. Sleep quality (Pittsburgh Sleep Quality Index, PSQI) was assessed quarterly during treatment (baseline, 3-, 6-, 9-, 12-month visits) and twice during follow-up (18-, 24-month visits). Mood symptoms (ALIFE Psychiatric Status Ratings) were retrospectively rated weekly by an independent clinician. Lag models tested whether sleep quality predicted next month's mood symptoms and whether mood symptoms predicted future sleep quality. ResultsAdolescents with bipolar disorder had poor sleep quality. Sleep quality initially improved but remained stable thereafter. Worse sleep quality at 6-months predicted worse depression, hypomania, and suicidal ideation the following month. Sleep quality was worse for adolescents who had a suicide attempt during the study compared to those who did not and was worse preceding months with a suicide attempt compared to months without attempts. Alternatively, worse depression predicted worse future sleep quality at baseline, 3-, and 18-months and worse suicidal ideation predicted worse future sleep quality at baseline, 12-, and 18-months. LimitationsMood symptoms were rated retrospectively and the PSQI may not capture all dimensions of sleep important for mood symptoms. ConclusionsTargeted evidence-based sleep treatment in adolescents with bipolar disorder may alleviate sleep problems and have additional benefits on mood symptoms and suicidality risk.

The Effect of Sleep Quality on Depression in Upper Elementary School Students

The Effect of Sleep Quality on Depression in Upper Elementary School Students

Mediating effects of sleep quality between clinical characteristics and quality of life in children with epilepsy: A cross-sectional study from Southwest China

BackgroundAlthough sleep quality (SQ) reportedly affects the health-related quality of life (QOL) of patients with epilepsy, little is known about the potential association between SQ and QOL, particularly in children with epilepsy (CWE). Our study aimed to investigate the mediating effect of SQ on the QOL of CWE to obtain more information for the prevention and treatment of epilepsy in children. MethodsWe collected general demographic and clinical data of 212 CWE and 79 controls (children who visited the Health Examination Department), and their guardians were instructed to answer the Children’s Sleep Habits Questionnaire (CSHQ) and the optimized Quality of Life in Childhood Epilepsy Questionnaire-16 (QOLCE-16). The t-test, analysis of variance, chi-square test, and Fisher’s exact test were used for between group comparisons. The Pearson correlation was used to analyze the correlation between variables. The direct, indirect, and total effects of predictors on the QOL of CWE were estimated based on an adjusted mediation model. ResultsCWE had significantly smaller long-term urban residence rates, less educated guardians, higher total CSHQ score, higher incidence of poor SQ, higher bedtime resistance, more sleep anxiety, worse sleep-disordered breathing, increased parasomnia, more daytime sleepiness, more frequent night waking, and greater sleep onset delay than controls (P < 0.05 for all). The univariable analysis showed significant differences in total CSHQ scores between CWE with different seizure frequency in the last month, whether or not drug-resistant epilepsy (DRE), and with different video electroencephalogram (VEEG) findings (P < 0.05 for all). Differences in QOLCE-16 scores between CWE with different guardian’s employment status, age at diagnosis, number of anti-seizure medication (ASM) types, seizure frequency in the last month, DRE status, seizure type, VEEG findings, neuropsychological evaluation findings, magnetic resonance imaging (MRI) findings, and etiology were statistically significant (P < 0.05 for all). The correlation study indicated that the total CSHQ score was negatively correlated with the QOLCE-16 score (P < 0.05). The mediation analysis showed that DRE and VEEG abnormalities had a standardized direct effect on the QOL. Seizure frequency in the last month, DRE, and VEEG abnormalities had an indirect effect on the QOL through SQ, and their mediating effect values of SQ were 31.61 %, 13.45 %, and 14.35 %, respectively. ConclusionOur findings uncovered the relationship of some clinical characteristics with SQ and QOL and characterized the nature of factors affecting the QOL of CWE. SQ could be a key factor in the prognosis of CWE experiencing epileptic seizures, and more attention should be paid on the management of SQ in interventions for epilepsy.

Effects of Sleep Quality on Different Obesity Indexes in College Students

Effects of Sleep Quality on Different Obesity Indexes in College Students

Effects of sleep quality and physical activity measured by a Fitbit and self-rated questionnaire on the health-related quality of life in community-dwelling older adults: A cross-sectional study

Purpose: This study aimed to identify influencing factors on health-related quality of life by examining relationships among sleep quality, physical activity, and health-related quality of life in older adults living in the community using a Fitbit and self-rated questionnaire. Methods: The participants were adults aged 65 years and above who were recruited from one senior university and three senior citizen centers. A total of 106 participants were included in the analysis. The data were analyzed with t-test, ANOVA, Pearson’s correlations, and multiple regression analysis. Results: According to multiple regression analysis regarding objectively measured sleep quality and physical activity using a Fitbit, the factors affecting the health-related quality of life were age (β=-.30, p=.006), subjective health status as ‘moderate’ (β=.33, p=.001), and subjective health status as ‘good’ (β=.41, p=.001). In terms of using a self-rated questionnaire, the factors affecting health-related quality of life were age (β=-.27, p=.010), subjective health status as ‘moderate’ (β=.32, p=.001), subjective health status as ‘good’ (β=.37, p=.001), and physical activity (β=.18, p=.030). Conclusion: Although the findings may not be generalizable to community-dwelling older adults due to our convenience samples, this study suggests that customized physical activity programs are required to improve health-related quality of life in community-dwelling older adults of different age groups.

The Effect of Sleep Quality on Coronary Lesion Severity and Prognosis in the Young Acute Coronary Syndrome Population.

This study aimed to explore the effect of long-term (≥1 year) sleep quality on coronary lesion complexity and cardiovascular prognosis in young acute coronary syndrome (ACS) patients. We consecutively recruited young patients aged from 18 to 44 years old with first-episode ACS and significant epicardial stenosis on coronary angiography from January 2016 to January 2017. Coronary lesion complexity was evaluated based on SYNTAX scores. Long-term sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) (PSQI ≤ 5 and PSQI > 5 groups). The primary endpoints were major adverse cardiovascular events (MACEs). A total of 466 young ACS patients (93.13% male; median age, 41 years) were included. Poor sleepers (PSQI > 5) had higher SYNTAX scores. After adjusting for confounders, PSQI scores (continuous variables, OR: 1.264; 95%CI: 1.166-1.371; p < 0.001) and PSQI grade (binary variable, OR: 3.864; 95%CI: 2.313-6.394; p = 0.001) were significantly associated with an increased risk of complex coronary lesions. During a median follow-up of 74 months, long-term poor sleep quality (PSQI > 5) was significantly associated with an increased risk of MACEs (HR: 4.266; 95%CI: 2.274-8.001; p < 0.001). Long-term poor sleep quality was a risk factor for complex coronary lesions and has adverse effects on cardiovascular prognosis in the young ACS population.

Effects of sleep quality on diurnal variation of brain volume in older adults: A retrospective cross-sectional study

AimBrain volume is influenced by several factors that can change throughout the day. In addition, most of these factors are influenced by sleep quality. This study investigated diurnal variation in brain volume and its relation to overnight sleep quality. MethodsWe enrolled 1,003 healthy Koreans without any psychiatric disorders aged 60 years or older. We assessed sleep quality and average wake time using the Pittsburgh Sleep Quality Index, and divided sleep quality into good, moderate, and poor groups. We estimated the whole and regional brain volumes from three-dimensional T1-weighted brain MRI scans. We divided the interval between average wake-up time and MRI acquisition time (INT) into tertile groups: short (INT1), medium (INT2), and long (INT3). ResultsWhole and regional brain volumes showed no significance with respect to INT. However, the `interaction between INT and sleep quality showed significance for whole brain, cerebral gray matter, and cerebrospinal fluid volumes (p < .05). The INT2 group showed significantly lower volumes of whole brain, whole gray matter, cerebral gray matter, cortical gray matter, subcortical gray matter, and cerebrospinal fluid than the INT1 and INT3 groups only in the individuals with good sleep quality. ConclusionHuman brain volume changes significantly within a day associated with overnight sleep in the individuals with good sleep quality.

Effects of sleep quality on pain, cognitive factors, central sensitization, and quality of life in patients with chronic low back pain.

Sleep quality in patients with chronic low back pain (CLBP) may affect quality of life (QoL), possibly due to worsening pain, central sensitization (CS), and cognitive factors. However, causal relationship among the factors has not been confirmed yet. The purpose of this study was to test the hypothesis that sleep quality in patients with CLBP is attributable to pain, cognitive factors, and CS, and influences QoL, by structural covariance analysis. This is a cross-sectional study. Participants were recruited from six health care facilities and 101 patients with CLBP were included. Structural covariance analysis assessed the fit of data to the model using goodness of fit index (GFI), adjusted goodness of fit index (AGFI), comparative fit index (CFI), and mean squared approximation error (RMSEA). The structural covariance analysis showed that the goodness-of-fit indices were high (GFI = 0.993, AGFI = 0.964, CFI = 1.00, RMSEA < 0.01). Sleep quality was not directly influenced by QoL but rather by CS and cognitive factors. This study suggests that sleep quality in patients with CLBP is indirectly mediated through multiple pathways, including cognitive factors and CS, which may influence QoL.

Effect of Sleep Quality on Physical Performance in Elderly

Effect of Sleep Quality on Physical Performance in Elderly

Effects of sleep quality in early pregnancy on pregnancy outcomes and mood state.

To clarify the relationship between quality of sleep and pregnancy outcomes and to explore how sleep quality affects mood state in the first trimester of pregnancy. This prospective cohort study enrolled pregnant women from June 2020 to June 2021. Maternal sleep conditions, daytime sleepiness, and mood state in the first trimester were assessed using four Chinese self-rating scales, namely, the Pittsburgh Sleep Quality Index (PSQI), the Sleep Hygiene Practice Scale (SHPS), Epworth Sleepiness Scale (ESS), and the abbreviated version of the Profile of Mood States (a-POMS). Participants were divided into an exposed group (PSQI score > 5, poor sleep quality group) and a non-exposed group (PSQI score ≤ 5, good sleep quality group). Maternal characteristics, pregnancy outcomes, and the relationship among sleep quality, sleepiness, and mood state were analyzed. Comparisons of sleep hygiene behavior variables between the two subgroups were also analyzed. A total of 2703 pregnantwomen were enrolled in the study. Poor sleep quality increased the probability of gestational diabetes mellitus (GDM) (1.573, 1.315-1.863), liver function damage (1.467, 1.021-2.107), preterm delivery (1.468, 1.077-2.002), mild sleepiness (1.612, 1.357-1.915), and excessive sleepiness (2.134, 1.686-2.701). Poor maternal sleep quality was significantly associated with the occurrence of preterm premature rupture of membranes (1.947, 1.168-3.243) and perinatal death (1.003, 1.000-1.006). Additionally, a significant positive correlation between the PSQI score and the total mood disturbance (TMD) score was revealed by Spearman's correlation analysis (r = 0.378, P < 0.01). Enter Regression analysis demonstrated that sleep quality (R2 = 0.390, P < 0.01) and sleepiness (R2 = 0.234, P < 0.01) exerted significant direct effects on mood state during pregnancy. Furthermore, Spearman's correlation analysis indicated a positive association between the PSQI score and the SHPS total score (r = 0.227, P < 0.01). Poor sleep quality is significantly associated with elevated rates of maternal mood disturbances, obstetric complications, and adverse outcomes in infants. The findings suggest that it may be useful toprovide comprehensive sleep assessment and education on sleep hygiene during the early stages of pregnancy.

SEX DIFFERENCES IN THE ROLE OF SLEEP ON EXECUTIVE FUNCTION IN OLDER ADULTS

Abstract Advancing age is associated with a decline in sleep quality and cognitive performance. Previous work has shown that women report a higher number of sleep complaints, possibly due to hormonal and physiologic developmental changes across the lifespan. However, whether the effects of sleep quality on cognitive performance differ between sexes in older populations remains unclear. To address this gap, we analyzed data from 117 cognitively normal participants (44 men and 73 women) aged 60 and older (M = 74.82, SD = 6.52) to compare the effects of objectively measured sleep on executive function. Total sleep time was recorded with the GT9X Link Actigraph worn for seven consecutive days. The composite score of executive function was derived from a confirmatory factor analysis consisting of four separate tests (Verbal Fluency, Trail Making Test Part B, Digit Symbol Substitution Test, and Stroop Interference). We used hierarchical multiple regression to investigate sex differences in the effects of total sleep time on executive function. A quadratic model of total sleep time was a significant predictor of executive function in women (β = -.251, p = .034), but not in men adjusting for age and education. Longer sleep duration predicted improved executive function, but the performance decreased with oversleeping. These findings imply that interventions aimed at optimizing sleep duration may be beneficial for executive function in older women. Further research is necessary to identify sex-specific sleep requirements, which can inform the development of personalized interventions for older adults.

Effect of Sleep Quality on Anxiety and Depression Symptoms among College Students in China's Xizang Region: The Mediating Effect of Cognitive Emotion Regulation.

While the exact mechanisms are not fully understood, there are significant links between sleep quality, anxiety, depressive symptoms, and cognitive emotion regulation. This research examines how sleep quality affects anxiety and depressive symptoms, as well as the potential of cognitive emotion regulation strategies (CERS) to moderate the impact of sleep quality on these symptoms. The Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), the Cognitive Emotion Regulation Questionnaire (CERQ), the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder Scale-7 (GAD-7) were all completed online by students from two colleges in China's Xizang region. The study included 4325 subjects. The prevalence of poor sleep quality, anxiety symptoms, and depression symptoms was 45.69%, 36.81%, and 51.86%, respectively. We observed significant direct effects on poor sleep and severity of anxiety/depression: c'1 = 0.586 (0. 544-0.628), and c'2 = 0.728 (0.683-0.773). Adaptive CERS only had a mediating effect on the relationship between sleep quality and depression symptoms, with a1b3 = -0.005 (-0.011--0.001). The link between poor sleep quality and the intensity of anxiety and depression was significantly affected by the indirect effects of maladaptive CERS: effect a2b2 = 0.126 (0.106-0.147), and effect a2b4 = 0.145 (0.123-0.167). Individuals who experience poor sleep quality are more likely to have increased levels of anxiety and depression. However, enhancing sleep quality led to a decrease in anxiety and depression levels. Adaptive CERS did not predict anxiety, but they did predict depression. Multiple maladaptive CERS could increase levels of anxiety and depression. To prevent mental stress, it is crucial to examine sleep problems among college students, understand their cognitive strategies, promote the adoption of adaptive CERS, and reduce the reliance on maladaptive CERS.

Effects of sleep quality and insomnia severity on metabolic and anthropometric parameters in elderly individuals

Purpose: This study aimed to investigate the relationship of sleep quality and insomnia with metabolic/anthropometric parameters in elderly individuals.&#x0D; Materials and Methods: This cross-sectional study was conducted with 474 elderly individuals. Their fasting blood glucose, haemoglobin A1c, total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein, cortisol, C-reactive protein, weight, waist circumference, waist-to-hip ratio, skeletal muscle mass, body fat mass and body mass index were measured. Their sleep quality was evaluated using the Pittsburgh Sleep Quality Index, and insomnia was assessed using the Insomnia Severity Index.&#x0D; Results: The mean age of the 474 elderly individuals included in the study was 71.02±4.90 years. Poor sleep quality prevalence was found to be 71.1% among the elderly participants and the prevalence of mild to moderate insomnia was 55.1%. The sleep quality score was positively correlated with the postprandial blood glucose level (r=0.121, p

THE INFLUENCE OF SLEEP QUALITY ON LEARNING CONCENTRATION IN ISLAMIC STUDENTS

In the learning process, a person needs concentration to be able to understand and interact with his environment. One of the things needed in order to concentrate on studying is to maintain good quality sleep. Therefore, this experimental study aims to measure and identify whether there is an effect of sleep quality on learning concentration in Psychology students of UIN Raden Fatah Palembang. This study uses a quantitative experimental technique with a Static Group Comparison design. The population of this study was the active students of the Faculty of Psychology, UIN Raden Fatah Palembang, amounting to 882 people. Determined 30 respondents as a sample selected by purposive sampling technique. Respondents were divided into 2 groups. The first group consisted of 15 respondents with the classification of staying up late, and group 2 consisting of 15 respondents with the classification of regular normal sleep. The data collection technique was through a questionnaire sheet and then analyzed using the chi-squere test.

Effects of sleep on brain perivascular space in a cognitively healthy population

The magnetic resonance imaging (MRI) visible perivascular space (PVS) reportedly clears amyloid-β and metabolic waste during sleep. Previous studies reported an association between sleep and the PVS in small vessel disease, traumatic brain injury, and Alzheimer's disease. However, this relationship in a healthy cohort is still unclear. Here, we used the Human Connectome Project Aging dataset to analyze the relationship between sleep and the PVS in cognitively healthy adults across the aging continuum. We measured sleep parameters using the self-reported Pittsburgh Sleep Quality Index questionnaire. We found that older adults who had better sleep quality and sleep efficiency presented with a larger PVS volume fraction in the basal ganglia (BG). However, sleep measures were not associated with PVS volume fraction in the centrum semiovale (CSO). In addition, we found that body mass index (BMI) influenced the BG-PVS across middle-aged and older participants. In the entire cognitively healthy cohort, the effect of sleep quality on PVS volume fraction was mediated by BMI. However, BMI did not influence this effect in the older cohort. Furthermore, there are significant differences in PVS volume fraction across racial/ethnic cohorts. In summary, the effect of sleep on the PVS volume alteration was different in the middle-aged adults and older adults.