Influencia da Qualidade do Sono na Qualidade de Vida no Trabalho de Policais Militares / Influencia de la Calidad del Sueño en la Calidad de Vida en el Trabajo de la Policía Militar / Influence of Sleep Quality on the Quality of Life and Work of Military Police Officers

Resumo Introdução: A profissão policial é considerada de alto risco e exige um vigor físico e mental do trabalhador diante do serviço realizado. De tal modo que uma boa qualidade do sono é importante, pois impacta diretamente em diversos aspectos na saúde desses trabalhadores. Ademais, a falta de uma boa qualidade do sono devido ao trabalho pode influenciar negativamente a qualidade de vida no trabalho. Objetivo: Analisar a influência da qualidade do sono na qualidade de vida no trabalho de policiais militares. Metodologia: Estudo quantitativo, correlacionalde corte transversal, realizado no primeiro semestre de 2019, com policiais de três municípios da Bahia, Brasil. Foram utilizados três instrumentos: sociodemográfico e características laborais; qualidade de vida de vida no trabalho; e qualidade do sono. Foi aplicado o teste do qui quadrado para as variáveis sociodemograficas e ocupacionais. Posteriormente, foi aplicado o teste de correlação de Spearman entre a qualidade do sono com as dimensões da qualidade de vida no trabalho. Resultados: Evidenciou-se entre os 298 policiais que a mediana da idade foi de 40 anos e tempo de serviço ≤ 7 anos, observou-se também que os policiais com pior qualidade do sono apresentaram qualidade de vida no trabalho insatisfatória em todas as dimensões (biológica/fisiológica; psicológica/comportamental; sociológica/relacional; econômica/política, ambiental/organizacional). Conclusão: Os policiais sofrem com a qualidade do sono e consequentemente influencia negativamente a qualidade de vida no trabalho. Assim, há uma necessidade de desenvolver ações no ambiente de trabalho que possam diminuir os afastamentos decorrentes dos problemas de saúde ocasionados pela qualidade do sono.

Resumen Introdución: La formación policial se considera de alto riesgo y requiere vigor físico y mental por parte de la persona trabajadora antes de realizar el servicio. Para esto, la buena calidad de sueño es importante, ya que impacta directamente en la salud de la población trabajadora en varios aspectos. Además, la falta de una buena calidad de sueño debido al trabajo puede influir negativamente en la calidad de vida fuera del trabajo. Objetivo: Analizar la influencia de la calidad del sueño en la calidad de vida en el trabajo de policías militares. Metodología: Estudio cuantitativo, correlacional transversal, realizado en el primer semestre de 2019, con policías de tres municipios de Bahía, Brasil. Se utilizaron tres instrumentos: características sociodemográficas y laborales, calidad de vida en el trabajo y calidad de sueño. Se aplicó la prueba chi cuadrado para las variables sociodemográficas y ocupacionales. Posteriormente, se aplicó la prueba de correlación de Spearman entre la calidad del sueño y las dimensiones de calidad de vida en el trabajo. Resultados: La muestra fue de 298 policías, la mediana de edad fue de 40 años y la antigüedad en el servicio fue ≤ 7 años. También, se observó quienes tuvieron peor calidad de sueño, también tuvieron una calidad de vida en el trabajo insatisfactoria en todos sus dimensiones (biológica/fisiológica; psicológica/conductual; sociológica/relacional; económica/política, ambiental/organizacional). Conclusión: Quienes son agentes de policía sufren de mala calidad de sueño y, en consecuencia, se influye negativamente su calidad de vida en el trabajo. Por lo tanto, existe la necesidad de desarrollar acciones en el lugar de trabajo que pueda reducir los riesgos de problemas de salud causados por la calidad del sueño.

Abstract Background: Police training is considered high risk and demands physical and mental vigor from the worker before preforming the service. Therefore, sleep quality is important as it directly impacts the health of these workers in several aspects. Furthermore, the lack of sleep quality due to work can negatively influence the quality of life outside of work. Aim: To analyze the influence of sleep quality on the quality of life and work of military police officers. Methods: A quantitative, cross-sectional correlational study, conducted in the first half of 2019 with police officers from three municipalities in Bahia, Brazil. Three instruments were used: sociodemographic and work characteristics; quality of life at work; and sleep quality. The chi-square test was applied for sociodemographic and occupational variations. Subsequently, the Spearman correlation test was applied between sleep quality and the quality of life and work dimensions. Results: Among the 298 police officers the median age was 40 years and the length of service was ≤ 7 years. It was also observed that police officers with poorer sleep quality had an unsatisfactory quality of life at work in all its dimensions (biological/physiological; psychological/behavioral; sociological/relational; economic/political, environmental/organizational). Conclusion: Police officers suffer from poor sleep quality and this negatively influence their quality of life and work. Therefore, there is a need to develop actions in the workplace that may reduce the risks of health problems caused by poor sleep quality.

Baseline coronary artery stenosis severity is an independent predictor of subsequent poor sleep quality in patients with acute coronary syndrome.

AIM: To investigate the relationship between coronary artery lesion severity determined using the baseline SYNTAX score and sleep problems that might occur after discharge determined using the Pittsburgh Sleep Quality Index (PSQI). METHODS: This prospective study included patients with first acute coronary syndrome (ACS) who underwent percutaneous coronary angiography between February 2019 and August 2019. The severity of coronary artery stenosis was classified according to coronary angiography and SYNTAX scores. Patients were grouped as those with a SYNTAX score of ≤22 and >22. Sleep quality after discharge was classified according to the PSQI. PSQI ≤5 represented good sleep quality, and PSQI >5 represented poor sleep quality. Univariate and multivariate logistic regression was used to investigate the relationship between sleep quality and coronary artery stenosis severity. RESULTS: A total of 424 patients were included in the study. Of these, 294 (69.34%) had a SYNTAX score of ≤22 and 130 (30.66%) had a SYNTAX score of >22. The mean age of all patients was 60.37 ±â€…12.23 years, 59.69 ±â€…11.85 years in the SYNTAX ≤22 groups and 61.90 ±â€…12.98 years in the SYNTAX >22 group (P = 0.086). The majority (78.54%) of the patients were male and there was no significant difference between the SYNTAX ≤22 group and the SYNTAX >22 group in terms of sex distribution (P = 0.383). According to the univariate logistic regression analysis, age (P = 0.014), diabetes (P = 0.027), left ventricular ejection fraction (P = 0.001), estimated glomerular filtration rate (P = 0.039), creatine kinase MB (P = 0.040) and SYNTAX scores (P < 0.001) were significantly associated with high PSQI global scores (>5). However, according to the multivariate logistic regression analysis results, high (>22) SYNTAX scores were the only factor independently associated with the high (>5) PSQI global scores [odds ratio, 3.477; 95% confidence interval (CI), (2.190-5.522); P < 0.001]. Complete revascularization group had significantly higher sleep latency and sleep duration time, sleep efficiency and the percentage of patients with PSQI global score of ≤5 than the incomplete revascularization group (P < 0.001 for all). CONCLUSION: Among patients with ACS, those with high SYNTAX scores should be monitored more carefully for sleep disorders that may occur later.

Association of depression and sleep quality with frailty: a cross-sectional study in China.

Background: With the rapid growth of global aging, frailty has become a serious public health burden, affecting the life quality of older adults. Depressive symptoms (depression hereafter) and sleep quality are associated with frailty, but the pathways in which sleep quality and depression affect frailty remain unclear. Method: This cross-sectional study included 1866 community-dwelling older adults. Demographic characteristics and health-related data of them was collected, and we also assessed frailty, depression, and sleep quality. Descriptive statistics were carried out and ordinal logistic regression analysis was used to identify the factors correlated with frailty. Spearman correlation analysis and mediation analysis were employed to assess associations between sleep quality, depression and frailty. Two-sided p < 0.05 was considered as significant. Results: The results showed that 4.1% older adults were frail and 31.0% were pre-frail. Ordinal logistic regression showed that age, consumptions of vegetables, exercise, sleep quality, depression, number of chronic diseases, chronic pain, and self-rated health were correlated with frailty. Spearman correlation analysis revealed that frailty was associated with depression and sleep quality. There was a mediation effect that sleep quality was a significant and positive predictor of frailty (total effect = 0.0545, 95% boot CI = 0.0449-0.0641), and depression was a mediator between sleep quality and frailty (mediation effect = 60.4%). Conclusion: Depression and poor sleep quality may be early indicators of frailty in older adults. Improving the sleep quality and psychological state of older adults can improve frailty, which is beneficial for healthy aging.

The relationship between COVID-19 stress and test anxiety in art students: the chain mediating roles of intolerance of uncertainty and sleep quality.

BACKGROUND: The global spread of COVID-19 has brought immense physiological and psychological distress to students, such as test anxiety and poor sleep quality. This study aims to explore the relationship between COVID-19 stress and test anxiety and the mediating roles of intolerance of uncertainty and sleep quality between them. METHODS: A study was conducted in China during the late stage of the pandemic. A total of 936 Chinese art students (age M = 18.51, SD = 2.11, 46.6% female) completed the Coronavirus Stress Measure (CSM), the 12-item Intolerance of Uncertainty (IUS-12), the Brief Version of the Pittsburgh Sleep Quality Index (B-PSQI), and the Test Anxiety Inventory (TAI). A chain mediation model analysis was conducted to examine the mediating effects of intolerance of uncertainty and sleep quality on the association with COVID-19 stress and test anxiety. RESULTS: COVID-19 stress was positively associated with test anxiety (ß = 0.50, p < 0.001). The intolerance of uncertainty and sleep quality partially and serially mediated the relationship between COVID-19 stress and test anxiety (ß = 0.01, 95% CI = 0.01 to 0.02). CONCLUSION: These findings suggest that art students' intolerance of uncertainty and sleep quality partially and serially mediate the relation between COVID-19 stress and test anxiety. The results have significant implications for the intervention and prevention of test anxiety, providing additional evidence for the relationship between COVID-19 stress and test anxiety.

Alterations in the fecal microbiota of methamphetamine users with bad sleep quality during abstinence.

BACKGROUND: Methamphetamine (MA) abuse has resulted in a plethora of social issues. Sleep disturbance is a prominent issue about MA addiction, which serve as a risk factor for relapse, and the gut microbiota could play an important role in the pathophysiological mechanisms of sleep disturbances. Therefore, improving sleep quality can be beneficial for treating methamphetamine addiction, and interventions addressing the gut microbiota may represent a promising approach. METHOD: We recruited 70 MA users to investigate the associations between sleep quality and fecal microbiota by the Pittsburgh Sleep Quality Index (PSQI), which was divided into MA-GS (PSQI score < 7, MA users with good sleep quality, n = 49) and MA-BS group (PSQI score ≥ 7, MA users with bad sleep quality, n = 21). In addition, we compared the gut microbiota between the MA-GS and healthy control (HC, n = 38) groups. 16S rRNA sequencing was applied to identify the gut bacteria. RESULT: The study revealed that the relative abundances of the Thermoanaerobacterales at the order level differed between the MA-GS and MA-BS groups. Additionally, a positive correlation was found between the relative abundance of the genus Sutterella and daytime dysfunction. Furthermore, comparisons between MA users and HCs revealed differences in beta diversity and relative abundances of various bacterial taxa. CONCLUSION: In conclusion, the study investigated alterations in the gut microbiota among MA users. Furthermore, we demonstrated that the genus Sutterella changes may be associated with daytime dysfunction, suggesting that the genus Sutterella may be a biomarker for bad sleep quality in MA users.

Sleep Disorders in Patients with Severe COVID-19 Treated in the Intensive Care Unit: A Real-Life Descriptive Study in Vietnam.

BACKGROUND: Coronavirus disease 2019 (COVID-19) patients with sleep disorders may be at greater risk for respiratory exacerbation or death compared to those without. After being infected with COVID-19, patients have many symptoms related to sleep disorders, especially those with severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection. This study aimed to evaluate sleep disturbances in patients with severe SARS-CoV-2 infection who were treated in the Intensive Care Unit (ICU). METHODS: This cross-sectional study used the questionnaire provided by the Vietnam Sleep Disorder Study (ViSDiS) research, elaborated by the Vietnam Society of Sleep Medicine (VSSM). Seventy-seven COVID-19 patients were included. RESULTS: There was a significant difference in sleep status before and after SARS-CoV-2 infection among participants. Up to 83% of them reported experiencing insomnia after illness, 60% reported having frequent nightmares, and more than half of participants reported nocturia (p < 0.0001). More than 81.8% of patients with severe SARS-CoV-2 infection were unsatisfied with their sleep quality during hospitalization After SARS-CoV-2 infection, only 2.6% of participants felt they had good quality sleep (p < 0.0001). The majority of patients suffered from fatigue after SARS-CoV-2 infection, including a lack of energy, feeling heaviness in their limbs, aggravation of pre-existing sleep disorders, idleness, constant fatigue throughout the day, and difficulty concentrating. CONCLUSION: Sleep problems are highly prevalence among hospitalized patients with severe COVID-19 in the ICU. Healthcare providers should pay attention to sleep problems and their associated symptoms to initiate appropriate treatment to improve severe COVID-19 patients' health status and minimize the risk of death.

Association between sleep quality with maternal and neonatal outcomes during the covid-19 pandemic.

AIM: Sleep disorders during pregnancy can impact maternal and neonatal outcomes. The objective of this study is to examine the relationship between sleep quality and maternal and neonatal outcomes during the COVID-19 pandemic. METHOD: This prospective cohort study was conducted at the Educational-Therapeutic Center of Shohadaye Yaftabad Referral Hospital in Tehran, Iran, from December 2020 to September 2022. A total of 198 eligible participants were randomly assigned to either the sleep disorders group or the no sleep disorders group. Data were collected through demographic questionnaires, the Corona Disease Anxiety Scale (CDAS) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the checklist for maternal and neonatal outcomes. RESULTS: At baseline, the sleep disorders and no sleep disorders groups were similar in terms of age, body mass index (before pregnancy), education level, employment status, gravida, parity, abortion, and history of COVID-19. Within the sleep disorders group, there was a statistically significant, direct linear correlation between sleep disorders and FBS 34-36 weeks (r = 0.33, P < 0.001) as well as Corona Disease Anxiety (CDA) (r = 0.35, P < 0.001). The linear regression results indicated that for every unit increase in sleep disorders, the risk of FBS 34-36 weeks increased by 1.09 times (ß = 1.09, P < 0.001). Additionally, sleep disorders increased the risk of CDA by 1.36 times (ß = 1.36, P < 0.001). The results showed no statistically significant differences in terms of birth weight, type of delivery (vaginal or cesarean section), gestational age (preterm or full term), length of labor stages (first and second stage), Apgar score at minutes 1 and 5, and NICU admission between the two groups. CONCLUSION: Based on the results, a certain degree of correlation exists between sleep quality and FBS at 34-36 weeks and CDA. These findings underscore the need for future public health guidelines to formulate detailed strategies to improve sleep quality during the COVID-19 pandemic.

Poor Sleep Quality in Jamaican Adults With Sickle Cell Disease: Prevalence, Risk Factors, and Association With Quality of Life.

Poor sleep and chronic illnesses have a bidirectional relationship where presence of one can worsen the other. Sickle cell disease (SCD) is associated with significant morbidity and early mortality. In this study, we examine sleep quality, its predictors, and its association with quality of life in Jamaican adults with SCD. This cross-sectional study evaluated 177 well adult SCD patients for sleep quality using The Pittsburgh Sleep Quality Index (PSQI) and quality of life using the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me). Multiple linear regression models examined the predictors of poor sleep quality. The mean global PSQI score was 6.9 (SD 4.2) with 56.5% having poor sleep quality. Women had significantly worse scores for sleep efficiency (p 0.005), sleep latency (p 0.03) and higher use of sleeping medications (p 0.02). Those overweight/obese had significantly worse subjective sleep quality (p 0.001) and sleep efficiency (p 0.05). In multivariate regression analysis, overweight individuals had poorer sleep quality (OR: 2.9; 95% C.I.: 1.07, 7.88) than those with normal weight whereas those unemployed and looking for a job had lower prevalence of poor sleep quality (OR 0.2; 95% C.I.: 0.05, 0.77) compared to employed individuals. Participants with good sleep quality had significantly better functioning in all 5 domains of the ASCQ-Me. In conclusion, persons with SCD who are overweight or obese are at increased risk of poor sleep which can negatively affect quality of life. Patient populations and healthcare providers will need to manage the emerging burden of overweight/obesity.

What can we learn about stress and sleep from COVID-19 pandemic-perspective from the theory of preventive stress management.

Background: The COVID-19 pandemic has presented unique challenges to individuals worldwide, with a significant focus on the impact on sleep. However, the precise mechanisms through which emotional and cognitive variables mediate this relationship remain unclear. To expand our comprehensive understanding of variables, the present study utilizes the Preventive Stress Management theory, to test the relationship between perceived social support and sleep quality, as well as the effect of perceived COVID-19 stress, hope, negative emotions and coping styles. Methods: Data were collected in March 2022 from 1,034 college students in two universities located in Liaoning Province, China, using an online survey platform regarding perceived social support, perceived COVID-19 stress, sleep quality, hope, negative emotions and coping styles. The moderated mediation model were conducted using Process macro program (Model 6) and the syntax in SPSS. Results: The results revealed perceived COVID-19 stress and negative emotions sequentially mediated the negative relationship between perceived social support and sleep quality. Furthermore, hope and coping styles were found to moderate the sequential mediating effect. Conclusion: The present study sheds light on the pathways that affect sleep quality among college students during the COVID-19 pandemic. Findings highlight the protective roles played by positive social and personal resources, such as perceived social support, hope, and effective coping styles, against sleep problems. These insights have important implications for the development of targeted interventions to improve sleep outcomes during this challenging time.

Quality of sleep and excessive daytime sleepiness among medical students in a Brazilian private university.

OBJECTIVE: The aim of this study was to assess medical students' quality of sleep and excessive daytime sleepiness in different graduation cycles. METHODS: A cross-sectional study was carried out at a private university in Maceió, Brazil, from August 2021 to March 2022. The sample was composed of medical students aged 18 years and above from years 1-2 (basic cycle), 3-4 (clinical cycle), and 5-6 (internship) of Medical School who were invited to answer two validated questionnaires: the Pittsburgh Sleeping Quality Index and the Epworth Sleepiness Scale. RESULTS: A total of 179 students participated; most of them were female (78.2%), aged 19-25 years (73.7%), and with a body mass index<25 kg/m2 (73.7%), with smaller participation from students from the basic cycle (21.2%). Analyzing the Pittsburgh Sleeping Quality Index, 55.9% of the students were classified as having poor sleep quality, with no difference in sleep category between gender, age, body mass index, and graduation cycle. Students with a body mass index of ≥25 kg/m2 had longer sleep latency (p=0.016) and shorter sleep duration (p=0.027). The Epworth Sleepiness Scale assessment showed that 44.1% of the students exhibit daytime sleepiness. Women had more daytime sleepiness than men (p=0.017), with no difference between age, body mass index, and graduation cycle. CONCLUSION: About half of the medical students experience poor sleep quality and daytime sleepiness, regardless of the graduation cycle. This should trigger a targeted institutional intervention to promote better mental and physical health, as well as sleep hygiene, to reduce future health issues.

Are depression and poor sleep quality a major problem in Turkish Women receiving chemotherapy for breast cancer?

OBJECTIVE: The aim of this study was to evaluate depression and sleep quality in Turkish women receiving neoadjuvant or adjuvant chemotherapy for breast cancer and investigate their relationship. METHODS: This cross-sectional, descriptive, and analytical study included 183 patients who received chemotherapy for non-metastatic breast cancer. Data were collected using the Beck Depression Inventory-II, the Pittsburgh Sleep Quality Index, and a disease-related/sociodemographic information form. RESULTS: The mean age of the participants was 50.2 years, and 50.3% were in menopause. The mean Beck Depression Inventory-II score was 19.64±10.4. Mild depression was detected in 25.7% (n=47) of the women, and moderate or severe depression in 55.2% (n=101). The mean global score of sleep quality was found to be 8.28±2.62, and the majority of the participants (79.7%, n=146) had poor sleep quality. There was a positive correlation (p<0.001, r=0.43) between depression and sleep quality scores. While a negative correlation was found between depression scores and age (p<0.001, r=0.26), the surgical procedure performed did not significantly affect depression scores (p=0.705). Additionally, depression scores were positively correlated with sleep duration (p<0.001, r=0.42) and sleep latency (p=0.01, r=0.48). CONCLUSION: Very high rates of depression and poor sleep quality were detected among Turkish women receiving neoadjuvant or adjuvant chemotherapy for breast cancer. The entire healthcare team involved in the treatment process should take this relationship into consideration and use the necessary preventive and therapeutic methods.

Socially-supported sleep in older adults aged 50 and older: a concept analysis.

Introduction: The population of older adults is growing disproportionately, constituting 13% of the global population in 2022, and is expected to double by 2050. One of public health's priorities is healthy aging, the maintenance of functional ability aligned with well-being. As many as 50% of older adults report poor sleep quality, leading to an increased risk of morbidity and mortality. The quality and quantity of social relationships may broadly benefit sleep in older adults. However, the concept of socially-supported sleep is underdeveloped as a basis for intervention. Methods: Existing literature was searched without time restriction in PubMed, CINAHL, PsycINFO, and Scopus ending in August 2022. Thematic analysis was used to determine the defining attributes, antecedents, and consequences of socially-supported sleep guided by Rodgers' evolutionary concept analysis. Results: Twenty-nine articles written in English, peer-reviewed, and examined social support and sleep in participants aged ≥50 were included. The defining attributes reflect dimensions of sleep quality. The antecedents are safe and secure, belonging and connection, and warmth and comfort. The consequences of socially-supported sleep include improved regulatory capabilities, physical and emotional well-being, and quality of life. Conclusion: Socially-supported sleep has the potential to inform interventions that promote sleep in older adults. Ongoing research is needed to address the antecedents and mechanisms through which socially-supported sleep may promote sleep quality for healthy aging.

Effects of resistance training on sleep quality and disorders among individuals diagnosed with cancer: A systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Sleep disorders are often complained by cancer patients and can last years after the end of therapies, leading to different negative consequences. Non-pharmacological strategies such as exercise interventions may be considered to counteract this phenomenon. The literature supports the beneficial effects of aerobic training (AT), while evidence on resistance training (RT) is scarce. Accordingly, our systematic review aims to investigate the potential novel effect of RT on sleep outcomes in cancer survivors. METHODS: The literature search was conducted on MEDLINE (Pubmed), Web of Science, Scopus, and Cochrane Central Register of Controlled Trials databases, including only randomized controlled trials (RCTs). The screening procedure was conducted using the web-based software COVIDENCE. Sleep outcomes assessed through self-reported questionnaires or objective sleep measurements were extracted from RCTs recruiting cancer survivors of any age and gender, on or off treatment. The risk of bias (RoB) for each study was assessed using the Cochrane RoB 2 tool for RCTs. Meta-analytic syntheses were performed on sleep quality and insomnia. RESULTS: A total of 21 studies were included in the review. Considering the mean percentage differences of all studies combined, promising positive results were found after combined aerobic and resistance exercise program (COMB) for sleep quality (-19%) and sleep disturbance (-17.3%). The meta-analysis results showed significant improvement for both sleep quality and insomnia (d = 0.28, SE: 0.11, Z = 2.51, p < 0.01, 95% CI: 0.07-0.49 and d = 0.43, SE: 0.20, Z = 2.18, p = 0.029, 95% CI: 0.07-0.49, respectively). CONCLUSION: RT interventions of 60 minutes per session, performed 2-3 times a week for 12 weeks, with exercise intensity ranging from 60% to 80% of one-repetition maximum can be administered to cancer survivors, aiming to improve sleep outcomes.

The effect of family health on suboptimal health status: The parallel mediation role of sleep quality and health behaviour.

Background: The prevalence of suboptimal health status has been increasing worldwide, posing a significant challenge to public health. Meanwhile, family health has been recognised as an important factor influencing individual health outcomes. However, the mechanisms through which family health affects suboptimal health status remain unclear. We aimed to investigate the parallel mediation role of sleep quality and health behaviour in the relationship between family health and suboptimal health status. Methods: We conducted a cross-sectional online survey with a sample of adults >18 years old from four provinces in China. The survey questionnaires queried their demographic characteristics, family health, suboptimal health status, sleep quality, and health behaviour. We assessed family health by the Family Health Scale-Short Form and suboptimal health status using the Suboptimal Health Status Questionnaire. We employed structural equation modelling to analyse the data and test the proposed mediation model. Results: we collected 4918 valid questionnaires. The mean age of the participants was 30.1 years (standard deviation = 12.5). The correlation analysis demonstrated a significant negative association between family health and suboptimal health status (r = -0.44; P < 0.001). The results of the parallel mediation analysis showed that family health had a significant indirect effect on suboptimal health status through both sleep quality (ß = -0.350; P < 0.001) and health behaviour (ß = -0.137; P < 0.001). The total indirect effect of family health on suboptimal health status through both sleep quality and health behaviour was also significant (ß = -0.569, P < 0.001). Conclusions: This study highlights the significance of family health as a predictor of suboptimal health status and suggests that sleep quality and health behaviour are parallel mediators in this relationship. By understanding the role of family health, sleep quality, and health behaviour, interventions can be targeted to improve overall health outcomes.

Sleep quality and psychological health in patients with pelvic and acetabulum fractures: a cross-sectional study.

BACKGROUND AND OBJECTIVES: It is known that difficulty sleeping after a fracture can have negative effects on both mental and physical health and may prolong the recovery process. The objective of this study is to explore how sleep quality and psychological health are linked in patients with pelvic and acetabulum fractures. METHODS: A study was conducted on 265 patients between 2018 and 2022 who had suffered pelvic and acetabulum fractures. The study examined various factors, including age, gender, cause of injury, post-operative complications, and injury severity. The study employed ordinal logistic regression to examine the relationship between various pelvic fractures and seven subscales of the Majeed Pelvic Score (MPS), as well as the Sleep Disorder Questionnaire (SDQ) and Beck Depression Inventory (BDI). The study focused on the postoperative outcome one year after surgery, and each patient was assessed at the one-year mark after surgical intervention. Additionally, the study evaluated the functional outcome, sleep quality, and psychological disorders of the patients. RESULTS: From 2018 to 2022, a total of 216 patients suffered from pelvic and acetabulum fractures. Among them, 6.6% experienced borderline clinical depression, and 45.2% reported mild mood disturbances. Anxiety was found to be mild to moderate in 46% of Tile C and posterior acetabulum wall fracture patients. About 24.8% of patients reported insomnia, while 23.1% reported sleep movement disorders. However, no significant correlation was found between fracture types and sleep disorders. The mean Majeed pelvic score (MPS) was 89.68. CONCLUSIONS: Patients with pelvic and acetabular fractures typically experience functional improvement, but may also be at increased risk for insomnia and sleep movement disorders, particularly for certain types of fractures. Psychological well-being varies between fracture groups, with signs of borderline clinical depression observed in some cases. However, anxiety levels do not appear to be significantly correlated with pelvic and acetabular fractures.

Sleep Quality and Suicidal Ideation in Adolescent Depression: A Chain Mediation Effect of Perceived Social Support and Resilience.

BACKGROUND: The prevalence of suicide is high among major depressive adolescents. Poor sleep quality has been documented as a significant risk factor for suicide, influencing perceived social support. Enhanced social support acts as a buffer against suicidal ideation and positively impacts resilience, reducing the prevalence of suicidal ideation. This reciprocal relationship between sleep quality, social support and resilience forms the basis for understanding the mechanisms contributing to suicidal ideation in major depressive adolescents. METHODS: A total of 585 major depressive adolescents aged 11 to 24 years was conducted to explore these associations. Assessments included the Pittsburgh Sleep Quality Index, Multidimensional Scale of Perceived Social Support, Connor-Davidson Resilience Scale and Beck Scale for Suicide Ideation. Pearson correlation and Model 6 in the SPSS program were employed for chain mediating tests. RESULTS: Better sleep quality positively predicted decreased suicide ideation (ß = 0.207, p < 0.01) and predicted lower perceived social support (ß = -0.226, p < 0.01) and resilience (ß = -0.355, p < 0.01). Perceived social support positively predicted increased resilience (ß = 0.422, p < 0.01) and negatively predicted suicide ideation (ß = -0.288, p < 0.01). Resilience negatively predicted suicide ideation (ß = -0.187, p < 0.01). Sleep quality indirectly predicted suicide ideation through perceived social support and resilience, with a mediation value of 0.0678 (95% CI [0.0359, 0.1060]), constituting 10.65% of the total effect. CONCLUSIONS: This study establishes that sleep quality indirectly predicts suicide ideation in major depressive adolescents, mediated independently by perceived social support and resilience.

The impact of sleep education, light intervention and relaxation on sleep and mood in the elderly.

Sleep and light education (SLE) combined with relaxation is a potential method of addressing sleep and affective problems in older people. 47 participants took part in a four-week sleep education program. SLE was conducted once a week for 60-90 minutes. Participants were instructed on sleep and light hygiene, sleep processes, and practiced relaxation techniques. Participants were wearing actigraphs for 6 weeks, completed daily sleep diaries, and wore blue light-blocking glasses 120 minutes before bedtime. Measures included scores of the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISS), Beck Depression Inventory-II (BDI-II), State-Trait Anxiety Inventory (STAI) and actigraphy measurements of sleep latency, sleep efficiency, and sleep fragmentation. Sleep quality increased after SLE based on the subjective assessment and in the objective measurement with actigraphy. PSQI scores were statistically reduced indicating better sleep. Scores after the intervention significantly decreased in ESS and ISS. Sleep latency significantly decreased, whereas sleep efficiency and fragmentation index (%), did not improve. Mood significantly improved after SLE, with lower scores on the BDI-II and STAI. SLE combined with relaxation proved to be an effective method to reduce sleep problems and the incidence of depressive and anxiety symptoms.

Photophobia is associated with lower sleep quality in individuals with migraine: results from the American Registry for Migraine Research (ARMR).

BACKGROUND: Patients with migraine often have poor sleep quality between and during migraine attacks. Furthermore, extensive research has identified photophobia as the most common and most bothersome symptom in individuals with migraine, second only to headache. Seeking the comfort of darkness is a common strategy for managing pain during an attack and preventing its recurrence between episodes. Given the well-established effects of daily light exposure on circadian activity rhythms and sleep quality, this study aimed to investigate the relationship between photophobia symptoms and sleep quality in a cohort of patients with migraine. METHODS: A cross-sectional observational study was conducted using existing data extracted from the American Registry for Migraine Research (ARMR). Participants with a migraine diagnosis who had completed the baseline questionnaires (Photosensitivity Assessment Questionnaire (PAQ), Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-2 (PHQ-2)), and selected questions of the ARMR Sleep questionnaire were included. Models were created to describe the relationship of photophobia and photophilia with various sleep facets, including sleep quality (SQ), sleep disturbance (SDis), sleep onset latency (SOL), sleep-related impairments (SRI), and insomnia. Each model was controlled for age, sex, headache frequency, anxiety, and depression. RESULTS: A total of 852 patients meeting the inclusion criteria were included in the analysis (mean age (SD) = 49.8 (13.9), 86.6% (n = 738) female). Those with photophobia exhibited significantly poorer sleep quality compared to patients without photophobia (p < 0.001). Photophobia scores were associated with SQ (p < 0.001), SDis (p < 0.001), SOL (p = 0.011), SRI (p = 0.020), and insomnia (p = 0.005) after controlling for age, sex, headache frequency, depression, and anxiety, signifying that higher levels of photophobia were associated with worse sleep-related outcomes. Conversely, photophilia scores were associated with better sleep-related outcomes for SQ (p < 0.007), SOL (p = 0.010), and insomnia (p = 0.014). CONCLUSION: Results suggest that photophobia is a significant predictor of poor sleep quality and sleep disturbances in migraine. These results underscore the necessity for comprehensive and systematic investigations into the intricate interplay between photophobia and sleep to enhance our understanding and develop tailored solutions for individuals with migraine.

Impact of sleep quality and physical activity on blood pressure variability.

Increased blood pressure variability (BPV) is linked to cardiovascular disease and mortality, yet few modifiable BPV risk factors are known. We aimed to assess the relationship between sleep quality and activity level on longitudinal BPV in a cohort of community-dwelling adults (age ≥18) from 17 countries. Using Withings home measurement devices, we examined sleep quality and physical activity over one year, operationalized as mean daily step count and number of sleep interruptions, both transformed into tertiles. The primary study outcome was high BPV, defined as the top tertile of systolic blood pressure standard deviation. Our cohort comprised 29,375 individuals (mean age = 58.6 years) with 127.8±90.1 mean days of measurements. After adjusting for age, gender, country, body mass index, measurement days, mean blood pressure, and total time in bed, the odds ratio of having high BPV for those in the top tertile of sleep interruptions (poor sleep) was 1.37 (95% CI, 1.28-1.47) and 1.44 (95% CI, 1.35-1.54) for those in the lowest tertile of step count (physically inactive). Combining these exposures revealed a significant excess relative risk of 0.20 (95% CI, 0.04-0.35, p = 0.012), confirming their super-additive effect. Comparing individuals with the worst exposure status (lowest step count and highest sleep interruptions, n = 2,690) to those with the most optimal status (highest step count and lowest sleep interruptions, n = 3,531) yielded an odds ratio of 2.01 (95% CI, 1.80-2.25) for high BPV. Our findings demonstrate that poor sleep quality and physical inactivity are associated with increased BPV both independently and super-additively.