Higher Sleep Quality Research Articles

Understanding the Relationship between Sleep Quality and Physical Activity: Implications for Healthy Aging.

Understanding the general health and well-being of the aged population requires an understanding of several factors, among which the interplay between physical activity and sleep quality are the most efficient determinants. There is still much to learn about the precise ways that different components of sleep quality affect different kinds of physical activity in older persons, accordingly, the study aims to provide a comprehensive understanding of the interaction between these variables. An online questionnaire-based investigation was conducted between August and September 2023. This cross-sectional study analyzed data from 1,437 participants aged 50 to 89 years. The questionnaire evaluated levels of physical activity, sleep satisfaction, and demographic data. We used cluster analysis, regression analysis, and factor analysis to investigate the connections between these variables. Factor analysis revealed a single factor that accounted for 51.95% of the variance in all variables linked to sleep, and this factor represented overall quality of sleep. Regression analysis revealed that gender significantly predicted sleep quality, with females reporting lower sleep satisfaction. While strenuous exercise did not significantly affect sleep quality, moderate exercise was a positive predictor of sleep quality that neared statistical significance. Furthermore, cluster analysis revealed that those who engaged in more physical activity had higher-quality sleep. These results highlight the significance of encouraging physical activity to improve older adults' sleep quality. Specific programs that promote moderate exercise may enhance this population's general health and sleep quality. Future research should focus on longitudinal studies to create causality and modify intervention strategies aimed at promoting healthy aging.

Thirty-five years of personalized promotion. The contribution of medicine in the workplace

Abstract Issue/problem Occupational medicine has always had the task of identifying and solving problems caused by exposure to occupational risks and improving the health conditions of workers. This traditional prevention task can be advantageously associated with promotional activities to reduce the incidence of non-communicable diseases. Description of the problem Since the end of the 1980s we have conducted health promotion interventions in the workplace, integrated into the company’s occupational prevention plan. The results, discussed internationally, have allowed the improvement of projects such as the one presented here, aimed at the prevention of cardiovascular and metabolic risks. Results Workers carry out a clinical check integrated with blood chemistry tests, actigraphic measurement of physical activity and sleep, bioimpedance measurement and plicometry, to objectify the data of interest. Furthermore, they keep a food diary and answer questionnaires on lifestyle, stress, and sleep. They receive personalized non-pharmacological treatment aimed at making salutogenic changes to diet, sleep, physical activity, and relaxation methods. They are monitored monthly and carry out a follow-up after six months. The pilot study, conducted on 20 healthcare workers with previously undiagnosed metabolic problems, indicates a significant improvement in abdominal circumference, systolic blood pressure and sleep duration in the third month. Workers report a high level of satisfaction with the initiative, a lower level of occupational stress and a higher quality of sleep. Lessons Accumulated experience demonstrates that projects of this type are feasible, sustainable, and advantageous and can be applied to companies of all sizes, regardless of the quantity of resources available. Key messages • Health promotion in the workplace can contribute to the reduction of chronic non-communicable diseases. • The active participation of workers in health promotion activities contributes to improving job engagement and satisfaction derived from work.

Perceived Community Control in Adults with Acute Low Back Pain: A Community-Based Study.

Low back pain (LBP) is the leading cause of disability for individuals and societies globally. Prior investigations have predominantly centered around biological and psychological factors. Addressing social determinants is critical for enhancing the effectiveness and equity of pain interventions. We aimed to characterize social factors, sleep, and pain among adults with acute LBP, focusing on perceived community control. A community-based sample of adults with acute LBP was recruited from two cities in North Carolina, United States, and followed up at 3 months. We used descriptive statistics to characterize social factors, sleep, and pain, overall and by levels of perceived community control. In total, 110/131 enrolled participants had data on perceived community control (lower scores indicate higher control). Overall, the median perceived community control was 14 (interquartile range [IQR] = 11, 15). People with high perceived community control also had, on average, higher perceived individual control, better-perceived neighborhood walkability, lower number of sites with bothersome comorbid pain, and higher sleep quality. A higher proportion of participants with high perceived community control were of male sex, White race, and had a higher socioeconomic position. Community control and related constructs may be further explored in future intervention development as potentially modifiable social factors that may reduce pain burden.

Associations between the multitrajectory neuroplasticity of neuronavigated rTMS-mediated angular gyrus networks and brain gene expression in AD spectrum patients with sleep disorders.

The multifactorial influence of repetitive transcranial magnetic stimulation (rTMS) on neuroplasticity in neural networks is associated with improvements in cognitive dysfunction and sleep disorders. The mechanisms of rTMS and the transcriptional-neuronal correlation in Alzheimer's disease (AD) patients with sleep disorders have not been fully elucidated. Forty-six elderly participants with cognitive impairment (23 patients with low sleep quality and 23 patients with high sleep quality) underwent 4-week periods of neuronavigated rTMS of the angular gyrus and neuroimaging tests, and gene expression data for six post mortem brains were collected from another database. Transcription-neuroimaging association analysis was used to evaluate the effects on cognitive dysfunction and the underlying biological mechanisms involved. Distinct variable neuroplasticity in the anterior and posterior angular gyrus networks was detected in the low sleep quality group. These interactions were associated with multiple gene pathways, and the comprehensive effects were associated with improvements in episodic memory. Multitrajectory neuroplasticity is associated with complex biological mechanisms in AD-spectrum patients with sleep disorders. This was the first transcription-neuroimaging study to demonstrate that multitrajectory neuroplasticity in neural circuits was induced via neuronavigated rTMS, which was associated with complex gene expression in AD-spectrum patients with sleep disorders. The interactions between sleep quality and neuronavigated rTMS were coupled with multiple gene pathways and improvements in episodic memory. The present strategy for integrating neuroimaging, rTMS intervention, and genetic data provide a new approach to comprehending the biological mechanisms involved in AD.

Exploring the Effects of Coping Flexibility on Sleep Quality via Subjective Distress: A Longitudinal Study of Young Adults.

Coping flexibility is one's ability to modify their coping strategies and adapt to the demands of stressful situations. However, limited studies have demonstrated that coping flexibility directly influenced sleep quality. This study examined the relationships between coping flexibility, subjective distress, and sleep quality. We hypothesized that coping flexibility would enhance sleep quality via subjective distress. In total 99 male and 151 female college students completed questionnaires on coping flexibility, subjective distress, and sleep quality. Subsequently, they completed the questionnaire on sleep quality six months later. Structural equation modeling showed a significant indirect effect of coping flexibility, which indicated that higher coping flexibility was associated with higher sleep quality via reduced subjective distress. Our findings suggested that subjective distress and lower coping flexibility were risk factors for poor sleep quality.

Multidimensional Sleep Profiles via Machine learning and Risk of Dementia and Cardiovascular Disease.

Sleep health comprises several dimensions such as duration and fragmentation of sleep, circadian activity, and daytime behavior. Yet, most research has focused on individual sleep characteristics. Studies are needed to identify sleep profiles incorporating multiple dimensions and to assess how different profiles may be linked to adverse health outcomes. To identify actigraphy-based 24-hour sleep/circadian profiles in older men and to investigate whether these profiles are associated with the incidence of dementia and cardiovascular disease (CVD) events over 12 years. Data came from a prospective sleep study with participants recruited between 20032005 and followed until 2015-2016. Multicenter population-based cohort study. Among the 3,135 men enrolled, we excluded 331 men with missing or invalid actigraphy data and 137 with significant cognitive impairment at baseline, leading to a sample of 2,667 participants. Leveraging 20 actigraphy-derived sleep and circadian activity rhythm variables, we determined sleep/circadian profiles using an unsupervised machine learning technique based on multiple coalesced generalized hyperbolic mixture modeling. Incidence of dementia and CVD events. We identified three distinct sleep/circadian profiles: active healthy sleepers (AHS; n=1,707 (64.0%); characterized by normal sleep duration, higher sleep quality, stronger circadian rhythmicity, and higher activity during wake periods), fragmented poor sleepers (FPS; n=376 (14.1%); lower sleep quality, higher sleep fragmentation, shorter sleep duration, and weaker circadian rhythmicity), and long and frequent nappers (LFN; n=584 (21.9%); longer and more frequent naps, higher sleep quality, normal sleep duration, and more fragmented circadian rhythmicity). Over the 12-year follow-up, compared to AHS, FPS had increased risks of dementia and CVD events (Hazard Ratio (HR)=1.35, 95% confidence interval (CI)=1.02-1.78 and HR=1.32, 95% CI=1.08-1.60, respectively) after multivariable adjustment, whereas LFN showed a marginal association with increased CVD events risk (HR=1.16, 95% CI=0.98-1.37) but not with dementia (HR=1.09, 95%CI=0.86-1.38). We identified three distinct multidimensional profiles of sleep health. Compared to healthy sleepers, older men with overall poor sleep and circadian activity rhythms exhibited worse incident cognitive and cardiovascular health. These results highlight potential targets for sleep interventions and the need for more comprehensive screening of poor sleepers for adverse outcomes.

Exploring the nexus between sleep, chronotype, and non-cognitive predictors in university students: Implications for academic success

ABSTRACT While the association between sleep-related variables and academic achievement is widely acknowledged, limited attention has been directed towards exploring non-cognitive predictors of academic achievement such as conscientiousness and self-regulation. In this study, we investigated the relationships between various sleep-related factors (circadian preference, chronotype, sleep duration, quality, and irregularity) and non-cognitive predictors (conscientiousness, self-regulation, self-efficacy, and achievement motivation) in 637 university students. Bivariate analyses revealed moderate to strong correlations among several sleep-related measures. Notably, distinctness, representing the subjective perception of daily changes, and daytime sleepiness exhibited negative associations with self-regulation, while high sleep quality was positively linked to robust self-regulation. These findings emphasize the importance of exploring various measures, particularly distinctness within circadian typology. Furthermore, we discuss the potential integration of sleep intervention programs with strategies aimed at enhancing self-regulation.

Boost Your Brainpower: 24 Daily Sleep Hacks for Active Lifestyles

Sleep is a fundamental biological process that plays a pivotal role in the health and performance of physically active individuals (PAI). Sleep deprivation or poor sleep quality can negatively impact recovery capacity, concentration, coordination, and muscular strength, thereby compromising physical performance and increasing the risk of injuries. Objectives: This narrative literature review aims to examine the scientific evidence on the importance of sleep hygiene for the health and performance of PAI. A search was conducted for studies published on PubMed, Scopus, and Web of Science. Studies that investigated the effect of sleep hygiene on health and performance variables in athletes were included. The literature analysis highlighted that good sleep hygiene, adequate sleep duration (7–9 h per night), high sleep quality, and a regular sleep routine are associated with a range of benefits for the health and performance of PAI, including: (1) improved post-training recovery; (2) reduced risk of injuries; (3) enhanced concentration and attention; (4) improved coordination and muscle strength; (5) better mood and mental well-being; (6) reduced risk of chronic diseases. Sleep hygiene is a key factor for the health and performance of PAI. Implementing a comprehensive and personalized sleep hygiene routine can lead to significant improvements in the quality and quantity of sleep, with positive effects on physical and mental health, and overall well-being of PAI.

Interactions among neighborhood conditions, sleep quality, and episodic memory across the adult lifespan

ABSTRACT Objectives On average, adults racialized as non-Hispanic Black and Hispanic sleep more poorly than adults racialized as non-Hispanic White (hereafter, Black, Hispanic, White), but associations between factors that may moderate sleep-memory associations in these groups, such as neighborhood conditions, are unclear. Poorer neighborhood conditions (e.g. lower neighborhood cohesion) may be negatively associated with sleep quality and multiplicatively influence sleep-memory associations. We hypothesized lower ratings of neighborhood conditions would be associated with poorer sleep quality and moderate the association between sleep quality and episodic memory, especially in Black and Hispanic adults, who are disproportionately situated in poor neighborhood conditions. Design Seven-hundred-thirty-six adults across the adult lifespan (27-89 years) were recruited from the northern Manhattan community as a part of the Offspring Study of Racial and Ethnic Disparities in Alzheimer’s disease. Sleep quality was assessed using a modified version of the Pittsburgh Sleep Quality Index, and episodic memory was evaluated with the Buschke Selective Reminding Test. With multiple regression models, we measured associations between perceived neighborhood conditions and sleep quality and the interaction between sleep quality and neighborhood conditions on episodic memory stratified by racial/ethnic and gender identity groups. Results Overall, poorer neighborhood conditions were associated with poorer sleep quality. In Black and Hispanic women, the sleep-memory association was moderated by neighborhood conditions. With more favorable neighborhood conditions, Black women showed an association between higher sleep quality and higher memory performance, and Hispanic women showed a protective effect of neighborhood (higher memory even when sleep quality was poor). Conclusion Poorer neighborhood experiences may contribute to poorer sleep quality across groups. In Black and Hispanic women, the association between sleep quality and episodic memory performance was dependent upon neighborhood conditions. These findings may inform tailored, structural level sleep interventions, aimed to improve neighborhood experiences and thereby sleep quality and episodic memory.

Optimism and mental health in college students: the mediating role of sleep quality and stress.

College students showed a high prevalence of stress, anxiety, and depression, with medical and nursing students experiencing particularly elevated levels of mental health challenges.Optimism significantly influences overall well-being by promoting a healthy lifestyle and cognitive responses. However, the association of optimism with sleep quality, stress, and mental health in college students remains unexplored. This study aimed to (1) explore the associations of optimism with sleep quality, stress, and mental health and (2) ascertain whether sleep quality and stress mediate the association between optimism and mental health among college students. A cross-sectional study was conducted using online surveys with students from health science majors at a public university in the northeast United States from September to December 2022. A total of 222 students participated in the study, providing data on sociodemographics, optimism, sleep quality, stress, anxiety, and depression. Parallel and serial mediation models were utilized to examine the potential mediating roles of sleep quality and stress in the association between optimism and mental health. The study found that optimism influences anxiety and depression through both direct and indirect pathways. In line with predictions, the parallel mediation analysis revealed that the impact of optimism on anxiety (βtotal = -0.598, 95% confident interval [CI]: -0.778 to -0.392) and depression (βtotal = -0.724, 95% CI: -0.919 to -0.519) was mediated by stress and sleep quality. Furthermore, the serial mediation models revealed that stress and sleep quality co-mediated the relationship betweenoptimism and anxiety (indirect effect [IE] = -0.074, 95% CI: -0.135 to -0.029) or depression (IE = -0.084, 95% CI: -0.142 to -0.036) in a sequential manner. Optimism was negatively correlated with poor sleep quality, stress, anxiety, and depression. Enhanced optimism was linked to high sleep quality and less stress, anxiety, and depression. These insights emphasize the potential for school-based optimism interventions to improve sleep quality, ameliorate stress-related concerns, and alleviate mental health challenges in college students.

Clustering of methamphetamine users based on personality characteristics and self-efficacy in the west of Iran

With the substantial increase in the use of stimulants, especially methamphetamine, in recent years, the present study aimed to cluster methamphetamine users based on personality traits and self-efficacy, and compare their mental health, sleep quality, and the risk of relapse in the identified clusters. This cross-sectional study was conducted through convenience sampling on 501 methamphetamine users in addiction treatment centers in Kermanshah, western Iran. The data were collected using the Schwarzer General Self-Efficacy Scale, Zuckerman–Kuhlman Personality Questionnaire, Goldberg and Hiller General Health Questionnaire (GHQ), Zuckerman–Kuhlman Personality Questionnaire, and Stimulant Relapse Risk Scale (SRRS). A total of 501 methamphetamine users were distinguished into three clusters with frequencies of 111 (22.2%), 298 (59.5%), and 92 (18.4%) members through hierarchical cluster analysis. The participants in the first cluster were characterized by low self-efficacy, high neuroticism, sensation seeking, and aggressiveness, along with low extroversion and activity, low positive health, high negative health, low sleep quality, and high risk of drug relapse. The participants in the second cluster reported moderate levels of self-efficacy, neuroticism, sensation seeking, activity, and aggressiveness, high extroversion, and moderate levels of mental health, sleep quality, and the risk of relapse. Moreover, the participants in the third cluster reported the highest level of self-efficacy, the lowest level of neuroticism, sensation seeking, and aggressiveness, moderate extroversion and high activity, low relapse risk, high sleep quality, as well as high positive and low negative health symptoms. The third cluster was significantly different from the other two clusters in terms of the mentioned factors. The findings of this study suggest that low self-efficacy and the presence of neuroticism, sensation seeking, and high aggressiveness contribute to reduced mental health and sleep quality, as well as an increased risk of relapse in methamphetamine users.

Combined effects of genetic predisposition and sleep quality on acceleration of biological ageing: Findings from the UK biobank cohort

ObjectiveGenetic risks can accelerate ageing, yet better quality sleep may slow down it. We thus examined the interaction and combined effects of genetic predisposition and sleep quality on the risk of accelerate aging. MethodsThis study included 407,027 participants from the UK Biobank. Sleep index of each participant was retrieved from the following seven sleep behaviors: snoring, chronotype, daytime sleepiness, sleep duration, insomnia, nap and difficulties in getting up. The biological age (PhenoAge) were estimated by corresponding algorithms based on clinical traits, and their residual discrepancies with chronological age were defined as the age accelerations (PhenoAgeaccel). We explored the interaction and combined effects of genetic risk and sleep quality on accelerated ageing by constructing a linear model. ResultsCompared with participants in low sleep quality group, those in medium and high sleep quality group decreased 0.727 (95%CI, 0.653 to 0.801) and 1.056 (95%CI, 0.982 to 1.130) years of PhenoAgeaccel, respectively. Compared with participants in low genetic risk group, those in medium and high genetic risk group increased 0.833 (95%CI, 0.792 to 0.874) and 1.543 (95%CI, 1.494 to 1.592) years of PhenoAgeaccel, respectively. There was interaction between the genetic risk and sleep quality (P-interaction<0.001). For combined effect, compared to the group with high sleep quality and lower genetic risk, people with low sleep quality and high genetic risk had 2.747 (95%CI, 2.602 to 2.892) years higher PhenoAgeaccel. ConclusionOur findings elucidate that better sleep quality could lessen accelerated biological ageing especially among population with high genetic risk.

The Association Between Diets With High Inflammatory Potential and Sleep Quality and Its Parameters: A Systematic Review

The Association Between Diets With High Inflammatory Potential and Sleep Quality and Its Parameters: A Systematic Review

The Relationships Among Family Functioning, Sleep Quality and Quality of Life in Chinese Community-Dwelling Older Adults with Insomnia: A Structural Equation Model

ABSTRACT Objectives The proportion of individuals with insomnia is increasing, and many older adults have insomnia. This study aimed to explore the relationships between family functioning and quality of life (QOL) among community-dwelling older adults with insomnia, as well as to explore the mediating role of sleep quality in this relationship. Methods The participants were 225 older adults with insomnia from community health service centers in Chongqing, China. The Family Care Index (APGAR) was used to assess family functioning, the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality, and the 36-item Short-Form Health Survey (SF-36) was used to assess QOL. Results The results showed that family functioning would be positively associated with QOL (p = .005) and that this relationship would be partially mediated by higher sleep quality (p < .001). Conclusions Family functioning has a direct effect on QOL and an indirect effect on QOL through the regulation of sleep quality. Maintaining good family functioning is important for improving sleep quality and QOL in older adults with insomnia. Clinical Implications Developing family functioning-based assessments and targeted intervention strategies could be beneficial for older adults with insomnia.

Sleep Quality and Interoception Are Associated with Generalized Anxiety in Baccalaureate Nursing Students: A Cross-Sectional Study.

Baccalaureate nursing students are at increased risk for anxiety and related mood disorders. We conducted a cross-sectional study to explore the relationships among anxiety symptoms measured by the Generalized Anxiety Disorder (GAD-7) questionnaire and lifestyle behaviors including habitual diet, sleep quality (Pittsburg Sleep Quality Index [PSQI]), and physical activity. Descriptive statistics were obtained for sample characteristics, and Pearson correlations and backward stepwise linear regression explored relationships between the GAD-7 scores, the Multidimensional Assessment of Interoceptive Awareness, version 2 (MAIA-2) subscales, and other variables. Sixty-eight students completed the survey, with 38% having moderate-to-severe anxiety. On average, respondents had moderate diet quality (Healthy Eating Index median 60/100 [range 51-75]), had high sleep quality (PSQI median 7/21 [range 4-10]), and were highly active, with a median of 43 (range 24-78) weekly metabolic equivalent (MET) hours. Sixty-seven out of 68 respondents indicated a willingness to change lifestyle behaviors; the most prevalent time-related factors were school and social commitments, with stress and financial constraints being reported among half or more of respondents. Regression analysis determined that PSQI (β = 0.446) and the MAIA-2 Not-Worrying subscale (β = -0.366) were significant (p < 0.001 for both) predictors of anxiety severity. These results indicate that mindfulness and sleep hygiene may be the most actionable foci for interventions to reduce anxiety in baccalaureate nursing students. This study was not registered as a clinical trial.

From Mind to Plate to Pillow: Examining the Interplay of Mental Health, Eating Disorders, and Sleep Quality

In the context of the contemporary accelerated pace of life, emphasizing the importance of sleep quality is essential for enhancing overall well-being and health. Historically underestimated, recent studies highlight sleep’s vital importance for physical, mental, and emotional well-being. Chronic sleep deprivation is connected to numerous health problems such as cardiovascular disease, diabetes, and weakened immune response. Additionally, lack of sleep can worsen stress, depression, and anxiety, impairing daily life and overall quality of life. This study investigates the link between poor sleep quality and key factors affecting wellness, such as mental health and eating disorders. Through a cross-sectional analysis involving 407 participants, utilizing established measures including the Depression Anxiety Stress Scale (DASS-21), the Eating Disorder Examination Questionnaire Short (EDE-QS), and the single-item Sleep Quality Scale (SQS), data were collected and analyzed using SPSS v28 and R-Statistics. The findings reveal a significant correlation (p &lt; 0.05) between DASS-21, EDE-QS, and SQS, indicating that individuals experiencing poor sleep quality exhibit higher levels of depression, anxiety, and stress. Furthermore, multinomial logistic regression analysis highlights low sleep quality as a risk factor for both mental health (OR: 1.071, 95% CI: 1.042, 1.102, p &lt; 0.05, low vs. high sleep quality) and eating disorders (OR: 1.047, 95% CI: 1.004, 1.092, p &lt; 0.05, low vs. high sleep quality). Overall, these results underscore the critical role of sleep quality in mental health and suggest that insomnia is a predictive factor for both poor mental well-being and disordered eating habits. The main contribution of this study is its identification of poor sleep quality as a common risk factor linking mental health issues and eating disorders, which emphasizes the need for integrated treatment strategies focusing on sleep improvement. Further research through randomized controlled trials is warranted to validate the findings of this cross-sectional study.

Contribution of Nutritional, Lifestyle, and Metabolic Risk Factors to Parkinson's Disease.

Modifiable risk factors for Parkinson's disease (PD) are poorly known. The aim is to evaluate independent associations of different nutritional components, physical activity, and sedentary behavior and metabolic factors with the risk of PD. In this population-based prospective cohort study using the data of the United Kingdom Biobank (from 2006-2010), 502,017 men and women who were free from PD (International Classification of Diseases 10th edition; "G20") at baseline were included. We implemented a Cox proportion hazard's model to evaluate the associations of different levels of physical activity, sitting time, sleep habits, diet quality, alcohol and coffee consumption, smoking, and body mass index with PD risk, adjusting for several confounding variables. During a median follow-up of 12.8 years, lifestyle factors including vigorous physical activity (hazard ration [HR] = 0.84; 95% confidence interval [CI], 0.75-0.94), low-to-moderate sitting time (HR = 0.89; 95% CI, 0.81-0.97), and high sleep quality (HR = 0.89; 95% CI, 0.80-0.99) were associated with a reduced risk of PD. Small amounts of coffee (HR = 0.88; 95% CI, 0.82-0.95), red meat (HR = 0.86; 95% CI, 0.76-0.97), and current smoking (HR = 0.65; 95% CI, 0.56-0.75) were also associated with a lower risk of PD, whereas alcohol intake (HR = 1.29; 95% CI, 1.06-1.56) with higher PD risk. Secondary analysis, including metabolic risk factors, confirmed these findings and highlighted the potential protective effect of plasma vitamin D and uric acid, but of low-density lipoprotein-cholesterol, triglycerides, and C-reactive protein as well. Vigorous physical activity, reduced sitting time, good sleep quality together with small coffee intake and vitamin D supplementation are potentially neuroprotective lifestyle interventions for the prevention of PD. © 2024 International Parkinson and Movement Disorder Society.

Assessment of Sleep Quality in Spanish Twin Pregnancy: An Observational Single-Center Study.

Women with twin pregnancies experience greater sleep disturbance compared to women with singleton pregnancies. The aims of this study were to explore the sleep quality in women with twin pregnancies and to compare their sleep dimensions with coetaneous single pregnancies. This was an observational study in which women were enrolled at the end of pregnancy in the Obstetric Service of Hospital La Paz (Spain). The women were classified as single (n = 143) or twin pregnancy (n = 62). Pregnant women responded to the Pittsburgh Sleep Quality Index to evaluate sleep quality, latency, duration, efficiency, perturbance, use of medication, and daytime dysfunction. The higher the index, the greater the alteration of sleep quality. Without statistical differences, a poor sleep quality was higher in women with single (66.7%) than women with twin pregnancies (22.8%). The good sleeper slept 6.8 h/day in single pregnancy and 7.3 h/day in twin pregnancy. The sleep perturbation and dysfunctionality were higher in women with twin than single pregnancies. The use of medication to sleep was significantly lower in women with twin than single pregnancies. In women with twin pregnancy, the body weight gain during first trimester had a positive correlation with worse sleep quality and sleep perturbations. Twin pregnancy needed more than 7 h/day to have a high sleep quality, showing greater sleep perturbations and daytime dysfunction than single pregnancies. The control of gestational body weight can improve the sleep quality, disturbances, and duration in twin gestations. Sleep screening during pregnancy would be necessary to handle sleep issues and increase benefits in twin gestational outcomes.

Effect Of COVID-19 On College Students’ Mental Health, Sleep Quality——Moderating Role of Social Support

As a public health emergency, COVID-19 has a continuous impact that cannot be ignored. College students’ mental health and sleep quality have always been the focus of society's attention. The impact of COVID-19 on it and ways to improve it need more attention. This review searched the empirical studies of databases such as Google Scholar through the literature reading method and found that college students' mental health and sleep quality have suffered because of COVID-19. However, social support can play a protective role in it. In comparison to people with low social support, those with high social support are less likely to have mental illness and have higher sleep quality. The results in this review serve as a foundation for improving college students’ psychological and sleep problems in the future. The period of college is an important stage in the development of individual psychology and socialization. During this period, college students experience the role transition from juvenile to adult. Therefore, in this special period, society must take notice of the psychological and sleep problems of college students, and to improve them through scientific methods.

Exploration the mediating role of adaptive and maladaptive emotion regulation strategies in the relationship between anxiety sensitivity, neuroticism, dysfunctional attitudes towards sleep, and sleep quality among adolescents

Introduction: While a variety of emotional, personality, cognitive, and behavioral factors are linked to sleep quality during adolescence, a comprehensive understanding of these factors remains elusive. Aim: The present study aimed to explore the mediating role of adaptive and maladaptive emotion regulation strategies in the relationship between anxiety sensitivity, neuroticism, dysfunctional attitudes towards sleep, and sleep quality among second-year high school adolescents. Method: The statistical population of this correlational study, which employed structural equation modeling, consisted of all second-year high school students (boys and girls) in Damghan, Iran, during the 2020-2021 academic year. A sample of 329 adolescents was selected through a multi-stage cluster sampling method. To measure the variables under study, the Dysfunctional Beliefs and Attitudes about Sleep Scale (1993), the Anxiety Sensitivity Index (1986), the Children's Emotion Regulation Questionnaire (2003), and the Sleep Quality Questionnaire (1989) were administered. The collected data was analyzed using Pearson’s correlation coefficient test and structural equation modeling in SPSS-22 and AMOS-24. Results: The present results indicated the good fit of the research model for the data. Both adaptive and maladaptive emotion regulation strategies were found to mediate the relationship between the sleep quality of adolescents and anxiety sensitivity, neuroticism, and dysfunctional attitudes and beliefs about sleep (P&lt;0.001). Conclusion: According to the findings, neuroticism, anxiety sensitivity, and maladaptive emotion regulation strategies are linked to a poor sleep quality. Conversely, adaptive emotion regulation strategies are associated with a higher sleep quality. Emotion regulation strategies were found to mediate the relationship between sleep quality and factors, such as anxiety sensitivity, neuroticism, and dysfunctional attitudes and beliefs about sleep. Mental health professionals are advised to consider the components examined in this study as they can play a crucial role in enhancing the sleep quality of adolscentse.