Poor sleep quality and its associated factors among HIV/ADIS patients living in sub-Saharan African countries: a systematic review and meta-analysis.

Good-quality sleep is defined by its ability to minimize disturbances, provide adequate duration, and maintain a balanced progression through sleep stages. Sleep disturbance is a common complaint in people living with HIV/AIDS. Despite the influence of sleep disturbance on treatment adherence, quality of life, work productivity, risk of chronic illness. Studies have reported sleep disturbances among HIV/AIDS patients in sub-Saharan African countries (SSA), yielding varied results at the country level. Therefore, conducting a systematic review and meta-analysis is essential. This systematic review and meta-analysis aimed to evaluate the prevalence of poor sleep quality and identify associated factors among HIV/AIDS patients in sub-Saharan African countries. We systematically searched across various databases, including PubMed, African Journals Online, Scopus, Cochrane Library, HINARI, and Science Direct. Additionally, we conducted searches using Google and Google Scholar search engines. Microsoft Excel was used for data extraction, and the data were analysed using STAT version 17.0. We assessed heterogeneity using Cochran's Q test and I2 test and checked for small study effects using funnel plot symmetry and Egger's test. Pooled prevalence and associated factors were estimated using a random-effects model at a 95% confidence interval (CI) and significance level of p < 0.05. To identify factors associated with poor sleep quality among individuals living with HIV/AIDS, odds ratios (ORs) and their corresponding 95% CI were calculated. This analysis combined data from 15 separate studies involving a total sample size of 5176 participants. The pooled prevalence of poor sleep quality among HIV/AIDS patients in SSA countries was 49.32% (95% CI 41.32-56.8%). Factors significantly associated with poor sleep quality included depression (OR 2.78; 95% CI 1.21-6.40) and CD4 count < 200 cells/mm3 (AOR 3.15; 95% CI 2.41-4.15). In this study the prevalence of poor sleep quality among HIV/AIDS patients in SSA was higher and differs across the countries, ranging from 21.7 to 73.7%. The findings underscore the urgent necessity for programs aimed at improving sleep quality, particularly in addressing factors such as participant income and depression that are linked to poor sleep quality in HIV/AIDS patients.Systematic review registration: PROSPERO CRD42024517229.

Sleep and long COVID: Preexisting sleep issues and the risk of PASC in a large general population using 3 different model definitions.

Study Objectives: Insomnia, poor sleep quality and extremes of sleep duration are associated with COVID-19 infection. This study assessed whether these factors are related to Post-Acute Sequelae of SARS-CoV-2 infection (PASC). Methods: Cross-sectional survey of a general population of 24,803 U.S. adults to determine the association of insomnia, poor sleep quality and sleep duration with PASC. Results: Prevalence rates of PASC among previously COVID-19 infected participants for three definitions of PASC were COPE (21.9%), NICE (38.9%) and RECOVER PASC Score (15.3%). PASC was associated with insomnia in all 3 models in fully adjusted models with adjusted odds ratios (aORs) and 95% confidence intervals (CI) ranging from 1.30 (95% CI: 1.11-1.52, p≤0.05, PASC Score) to 1.52 (95% CI: 1.34-1.71, p≤0.001, (NICE). Poor sleep quality was related to PASC in all models with aORs ranging from 1.77 (95% CI: 1.60-1.97, p≤0.001, NICE) to 2.00 (95% CI: 1.77-2.26, p≤0.001, COPE). Sleep <6 hours was associated with PASC with aORs between 1.59 (95% CI: 1.40-1.80, p≤0.001, PASC Score) to 1.70 (95% CI: 1.53-1.89, p≤0.001, COPE). Sleep ≥ 9 hours was not associated with PASC in any model. Although vaccination with COVID-19 booster decreased the likelihood of developing PASC, it did not attenuate associations between insomnia, poor sleep quality and short sleep duration with PASC in any of the models. Conclusions: Insomnia, poor sleep quality and short sleep duration are potential risk factors for PASC. Interventions to improve sleep may decrease the development of PASC.

The bidirectional relationship between sleep disturbance and anxiety: Sleep disturbance is a stronger predictor of anxiety.

BACKGROUND: Both sleep disturbance and anxiety are common problems that significantly affect human health, but little is known about their causal relationship. The aim of this study was to explore the causal relationship between them with a large sample of community-dwelling adults included. METHODS: Data for this study were extracted from the baseline survey of West China Natural Population Cohort Study (WCNPCS) and follow-up in the following year. The sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI), and anxiety was screened using the Generalized Anxiety Disorder Scale (GAD-7). Age, gender, educational level, marital status, smoking status, drinking status, depressive symptoms, loneliness and chronic diseases were taken as covariant factors. Logistic regression and cross-lagged models were used for data analyses. RESULTS: A total of 16699 participants (67.5 % females) were enrolled, with the average age of participants being 57.3 ± 12.7 years. A total of 40.50 % of participants experienced poor sleep quality at baseline and 40.52 % at follow-up. The prevalence of anxiety was 7.58 % at baseline and 4.62 % at follow-up. The results showed that the risk of developing anxiety in individuals with sleep disturbance at baseline was 1.89 times higher than those without (95%CI = 1.43-2.48). Similarly, anxiety increased the risk of developing sleep disturbance by 1.20-fold (95%CI = 1.03-1.39). These results were further supported by the cross-lagged panel models. CONCLUSION: Sleep disturbance and anxiety are mutually causal, and the effect of poor sleep on anxiety seems to be more significant. Timely interventions targeting sleep may help to break the vicious circle between sleep disturbance and anxiety symptoms, and improve the quality of life.

Poor sleep quality and associated factors among adult chronic kidney disease patients.

Background: Poor sleep quality is a common concern in chronic kidney disease (CKD) patients, which can accelerate the progression of chronic renal disease and negatively impact their health-related quality of life, potentially leading to greater morbidity and mortality rates. It can also have an effect on the immune system, cognitive function, and emotional well-being of CKD patients. Furthermore, poor sleep quality may contribute to drug noncompliance and decreased participation in the entire treatment plan. Nonetheless, no research has been undertaken in Ethiopia on the prevalence of poor sleep quality and its associated factors among CKD patients. Objective: This study aimed to assess the prevalence of poor quality of sleep and associated factors among chronic kidney disease patients at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals in 2020. Methods: A cross-sectional study design was implemented at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals between February and April 2020. The study participants were chosen through systematic random sampling techniques. The Pittsburgh Sleep Quality Index (PSQI), a validated assessment tool, was utilized to measure sleep quality. A PSQI total score > 5 was used as an indicator of poor sleep quality. Subsequently, the data obtained were entered into Epi Data version 3.0 and then transferred to STATA 14 for analysis. Both bivariable and multivariable binary logistic regression analyses were performed to recognize factors associated with poor sleep quality. In the multivariable logistic regression analysis, variables demonstrating a p-value of ≤0.05 were considered statistically associated to poor sleep quality. Results: In this study, 424 CKD patients were included. Among screened CKD patients, 42.9% tested positive for poor sleep quality with a 95% CI (38 to 47%). Independent predictors of poor sleep quality among CKD patients were common mental disorder [AOR = 1.8, 95% CI (1.19-2.89)], anemia [AOR = 2.7, 95% CI (1.71-4.36)], declined eGFR between 60 and 89.9 [AOR = 1.6; 95% CI (2.28-5.54)], 30-59.9 [AOR = 2.6, 95% CI (1.53-4.43)], and ≤ 30 [AOR = 3.8, 95% CI (1.17-12.61)], age > 50 years [AOR = 1.7(1.11-2.69)] and duration of disease 2.9 [AOR = 2.9, 95% CI (1.77-4.90)]. Conclusion: In our study, almost 1 out of 2 CKD patients assessed for poor sleep quality tested positive. It was noted that poor sleep quality was more frequent among CKD patients with common mental disorders, anemia, decreased eGFR levels, individuals aged over 50 years, and those with a longer duration of the disease. Consequently, it's advised to regularly screen these CKD patients for poor sleep quality.

Poor sleep quality and associated factors among healthcare professionals at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia.

Background: Poor sleep quality is linked to physiological dysfunction, which increases the risk of obesity, cardiovascular disease, cognitive impairment, and other medical conditions. Despite the known health risks of sleep disturbances, literature is still scant regarding sleep quality and its associated factors among healthcare professionals in Ethiopia. Therefore, this study aimed to determine the prevalence of poor sleep quality and its associated factors among healthcare professionals at the University of Gondar Comprehensive Specialized Hospital. Methods: An institution-based cross-sectional study was conducted at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia. A total of 418 healthcare professionals participated in the study. The study participants were chosen using the stratified random sampling method. Data were collected using a structured, self-administered questionnaire. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality of participants. Bi-variable and multivariable logistic regression models were used. p ≤ 0.05 was used to declare statistically significant variables. Results: The mean age of the study participants was 30.7 years (SD ± 6.3). The overall prevalence of poor sleep quality was 58.9% [95% CI (54.2, 63.6%)]. Being female [adjusted odds ratio (AOR) = 1.9, 95% CI (1.2, 2.9)], being a shift worker [AOR = 5.7, 95% CI (2.3, 14.3), not performing regular exercise [AOR = 2.08 (1.2-3.6)], being a khat chewer [AOR = 3.1, 95% CI (1.2, 7.6)], and having depressive symptoms [AOR = 2.6, 95% CI (1.3, 6.8)] were significantly associated with higher odds of having poor sleep quality. Conclusion: The prevalence of poor sleep quality among healthcare professionals was found to be high. As a result, we recommend that healthcare providers at the University of Gondar Comprehensive Specialized Hospital focus on early regular screening for sleep disturbances and pay special attention to shift work schedules and behaviors such as khat chewing, exercise, and depressive symptoms.

Prevalence and determinants of poor sleep quality among diabetic patients in Ethiopia: systematic review.

Background: Poor sleep quality can exacerbate many other physiological functions, such as obesity, cardiovascular disease, and high blood pressure. Although primary studies were conducted in Ethiopia, no studies concluded the pooled prevalence of poor sleep quality in Ethiopia. Therefore, this study was conducted to determine the pooled prevalence and its determinants of sleep quality among diabetes in Ethiopia. Objective: Assess the pooled prevalence and its determinants of sleep quality among diabetes in Ethiopia. Methods: The studies were searched systematically using international databases from PubMed, Google Scholar, Cochrane Library, Embase, and CINAHL. The quality of the articles searched was assessed using the New Castle Ottawa scale for a cross-sectional study design. Statistical analysis was performed using STATA version 14 and a systematic review was performed using a random effect model method. The Preferred Reporting Item for Systematic Review and Meta-analyses (PRISMA) guideline was followed for reporting results. Results: From the total of 728 records screened, 8 studies with 2,471 participants who met the inclusion criteria were included in this systematic review. The estimated pooled prevalence of poor sleep quality in Ethiopia was 48.54%. Conclusion: Almost half of diabetes patients had poor sleep quality. The preparation of brochures on diabetic information and the organization of health education about the negative impact of poor sleep quality on patients are among the best modalities to improve the problem of poor sleep quality.

Bidirectional correlation between gastroesophageal reflux disease and sleep problems: a systematic review and meta-analysis.

Objectives: Gastroesophageal reflux disease (GERD) and sleep problems are highly prevalent among the general population. Both them are associated with a variety of psychiatric disorders such as depression and anxiety, which is highlighting an underexplored connection between them. This meta-analysis aims to explore the association between sleep problems and GERD. Methods: We conducted a comprehensive search on PubMed, Cochrane Library, Embase, and Web of Science, using Medical Subject Headings (MeSH) and keywords, covering articles from the inception of the databases until August 2023. Stata statistical software, version 14.0, was utilized for all statistical analyses. A fixed-effects model was applied when p > 0.1 and I2 ≤ 50%, while a random-effects model was employed for high heterogeneity (p < 0.1 and I2 > 50%). Funnel plots and Egger's test were used to assess publication bias. Results: Involving 22 studies, our meta-analysis revealed that insomnia, sleep disturbance, or short sleep duration significantly increased the risk of GERD (OR = 2.02, 95% CI [1.64-2.49], p < 0.001; I2 = 66.4%; OR = 1.98, 95% CI [1.58-2.50], p < 0.001, I2 = 50.1%; OR = 2.66, 95% CI [2.02-3.15], p < 0.001; I2 = 62.5%, respectively). GERD was associated with an elevated risk of poor sleep quality (OR = 1.47, 95% CI [1.47-1.79], p < 0.001, I2 = 72.4%), sleep disturbance (OR = 1.47, 95% CI [1.24-1.74], p < 0.001, I2 = 71.6%), or short sleep duration (OR = 1.17, 95% CI [1.12-1.21], p < 0.001, I2 = 0). Conclusion: This meta-analysis establishes a bidirectional relationship between four distinct types of sleep problems and GERD. The findings offer insights for the development of innovative approaches in the treatment of both GERD and sleep problems.

Associations between Social Contact, Sleep and Dietary Patterns among Children: A Cross-Sectional Study.

Social isolation in adults can be associated with altered sleep and eating behavior. This study aimed to investigate the interactions between the extent of social contact, eating behavior and sleep in infants and preschool children. In an observational study, 439 caregivers of 562 children aged 0-6 years provided information on sleep (i.e., duration, latency, bedtimes and nighttime awakenings), eating behaviors (i.e., meal size, consumption of sweet snacks, salty snacks, fruits and vegetables) and social contact (i.e., quarantine status, household size, social activities) during the COVID-19 pandemic (April 2020). In infants (0-3 years), the change in meal size and consumption of snacks, fruits, and vegetables did not significantly relate to the extent of social contact. For preschool children (3-6 years), a trend was observed, suggesting that quarantine status was associated with increased meal size. Changes in sleep duration, sleep latency, bedtimes and nighttime awakenings from before to during the pandemic were not significantly linked to the three variables quantifying social contact in both age groups. This study highlights that, contrary to expectations, the extent of social contact has negligible associations with infants' and preschool children's sleep and eating behaviors. These findings indicate that other factors beyond social isolation play a role in shaping children's eating habits and sleep patterns.

The relationship between sleep- and circadian rhythm-related parameters with dietary practices and food intake of sedentary adults: a cross-sectional study.

We aimed to explore the link between sleep-related parameters and dietary practices. This cross-sectional exploratory study includes sedentary individuals between 20 and 59 years of age. We applied exigent inclusion and exclusion criteria, such as weight stability and without humor- or sleep-related diseases. Also, shift workers were not included. We evaluated sleep quality (by Pittsburg Sleep Quality Index; PSQI), sleepiness (by Epworth Sleepiness Scale), chronotype (by Morningness Eveningness Questionnaire; MEQ), and social jetlag from sleep dairy. Moreover, Food Practices Measurement Scale was used to assess dietary practices. Food intake estimates (i. e., energy, eating window, and late-night dinner eating) were derived from two 24-h food recalls (R24h). For analysis, dietary practices and energy intake from R24h were considered dependent variables, while PSQI, ESS, MEQ, STJ, EW, and LNDE were considered independent variables. Our sample comprises 42 adults (21 women and 21 men; 35.4 (12.5) y; 25.6 (5.21) kg/m2 BMI; 26.5 (7.97) % body fat). We verified that persons with poor sleep quality showed lower dietary practice scores (MD - 6.68; p = 0.021). Besides, in regression analysis, chronotype (ß = 0.266; p = 0.039) was positively associated with dietary practices, and eating window was positively associated with energy intake (ß = 267 kcal; p = 0.023). In contrast to our hypothesis, other sleep- and circadian-related variables were not associated with dietary practices or energy intake. In summary, we conclude that morning chronotype appears to be related to better dietary practices from the Food Guide for the Brazilian Population guide and that higher eating window was positively associated with energy intake.

Association of COVID-19 preventive behavior and job-related stress with the sleep quality of healthcare workers one year into the COVID-19 outbreak: a Japanese cross-sectional survey.

BACKGROUND: This study aimed to evaluate the association of COVID-19 preventive behavior and job-related stress with sleep quality among healthcare workers (HCWs). We conducted a cross-sectional survey using a questionnaire at the National Center of Neurology and Psychiatry, Tokyo, Japan. METHODS: A total of 586 participants who completed the questionnaire were eligible for the study. The Pittsburgh Sleep Quality Index was used to evaluate sleep quality. We examined the level of engagement between poor sleep and COVID-19-related infection preventive behaviors, such as avoiding closed spaces, crowded places, and close contact (three Cs), a distance of at least one meter from others, wearing a face mask regularly, washing hands regularly, and working remotely, as well as job-related stress in the work environment, exposure to patients, potential risk of infection, fear of infecting others, need for social confinement, and financial instability. We conducted a hierarchical logistic regression analysis to examine the relationship between poor sleep and COVID-19 preventive behavior, job-related stress, and other covariates, including age, sex, and the Kessler Psychological Distress Scale (K6), which was used to measure non-specific psychological distress. RESULTS: Poor sleep was observed in 223 (38.1%) participants. Adherence to COVID-19 preventive measures was relatively high: 84.1% of participants answered "always" for wearing a face mask regularly and 83.4% for washing hands regularly. In the multivariate logistic regression analysis, stress in the work environment (odds ratio [OR] = 2.09, 95% confidence interval [CI], 1.37-3.20; p < 0.001), financial instability (OR = 1.73, 95% CI, 1.12-2.67; p < 0.05), and low adherence to working remotely (OR = 1.65, 95% CI, 1.06-2.57; p < 0.05) were independently and significantly associated with poor sleep after controlling for the covariates. CONCLUSIONS: One year into the COVID-19 pandemic, the poor sleep rates of HCWs remained high. These results emphasize the need to protect HCWs from work environment stress and financial concerns.

Prevalence of poor sleep quality among physicians and nurses in a tertiary health care center.

Objectives: Sleep quality among tertiary healthcare professionals in KSA has not been well studied. Therefore, in this study, we aimed to assess sleep quality among physicians and nurses in a tertiary care center in Jeddah City and to identify the associated factors. Methods: In this quantitative, analytical, cross-sectional study, an online, self-administered questionnaire was distributed to all physicians and nurses working at King Abdulaziz University Hospital (KAUH). A total of 395 healthcare professionals participated in this study. The questionnaire included the participants' demographic characteristics and Pittsburgh Sleep Quality Index (PSQI) values. Results: The mean age and body mass index of the participating healthcare professionals were 37.74 ± 10.35 years and 26.32 ± 4.97 kg/m2, respectively. Most participants were women (70.4%) and expatriates (55.4%). The prevalence of poor sleep quality was high: 70.4% of the participants had a PSQI score >5. Several factors, such as female sex (adjusted odds ratio (AOR) = 2.03; 95% confidence interval (CI) = 1.11-3.74), shift work (AOR = 1.87; 95% CI = 1.01-3.45), physical inactivity (AOR = 2.43; 95% CI = 1.01-5.85), and current smoking (AOR = 4.64; 95% CI = 1.68-12.80), were associated with poor sleep quality among healthcare professionals. Conclusions: Our findings are consistent with those from previous studies indicating high prevalence of poor sleep quality among healthcare professionals. Furthermore, female sex, shift work, smoking, and physical inactivity were identified as risk factors for poor sleep quality.

The prevalence of poor sleep quality in the general population in China: a meta-analysis of epidemiological studies.

BACKGROUND: The high prevalence of poor sleep quality (PSQ) in the general population leads to negative health outcomes. Since estimates of PSQ prevalence in the Chinese general population vary widely, this meta-analysis aimed to refine these estimates and to identify moderating factors. METHODS: A comprehensive literature search was undertaken in both international (PubMed, PsycINFO, Web of Science, and EMBASE) and Chinese (Wanfang, and the China National Knowledge Infrastructure databases) databases from inception to 23 November 2023. Studies were required to have used standard scales such as the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). The pooled prevalence of PSQ and 95% confidence intervals (CIs) were calculated using a random-effects model. Subgroup and meta-regression analyses were performed to identify sources of heterogeneity. RESULTS: In 32 studies with a combined 376,824 participants, the pooled prevalence of PSQ was 19.0% (95% CI 15.8-22.8%; range 6.6-43.6%). Across 22 studies that reported PSQI data, the pooled mean score was 4.32 (95%CI 3.82-4.81; SD = 0.502). The pooled mean sleep duration across 8 studies was 7.62 (95% CI 7.23-8.00; SD = 0.194) hours. Subgroup analyses showed that lower education (Q = 4.12, P = 0.042), living in less developed regions (Q = 60.28, P < 0.001), and lower PSQI cutoff values (Q = 9.80, P = 0.007) were significantly associated with PSQ. Meta-regression analyses showed that study quality was inversely associated with estimated PSQ prevalence (ß = - 0.442, P = 0.004). LIMITATIONS: Although measures such as subgroup and meta-regression analyses were performed, substantial heterogeneity remained. Information related to sleep quality, such as comorbid physical diseases or psychiatric disorders, substance use, occupational types, and employment status, were not reported in most studies. CONCLUSION: One in five people in the general population of China may have PSQ and people with lower education or living in western regions may be more susceptible.

Tinnitus-associated cognitive and psychological impairments: a comprehensive review meta-analysis.

Background: Tinnitus is strongly associated with an increased risk of cognitive disabilities. The findings of this research will provide valuable support for future investigations aimed at determining the correlation between tinnitus and the risk of cognitive impairments. Objectives: We investigated the potential correlation between tinnitus and the risk of various cognitive impairments, such as dementia, compromised learning attention, anxiety, depression, and insomnia. The study examined this relationship collectively and by categorizing the data based on different age groups. Methods: We compiled data from case-control studies and cohort studies obtained from reputable databases such as PubMed, Cochrane Library, and Embase. To minimize potential bias, two reviewers independently assessed the selected articles. After extracting the data, we calculated the pooled odds ratios (ORs) using a random-effects model. Results: Seventeen relevant studies, comprising an adult population, were included in this analysis. Pooled estimated outcomes revealed a strong association between tinnitus and an elevated risk of dementia-compromised learning, auditory attention, anxiety, depression, and poor sleep quality (P<0.05). Furthermore, the pooled analysis stratified by age demonstrated that patients aged above 60 years, in comparison to those aged 18 to 60 years, exhibited more significant outcomes in relation to the progression of cognitive impairments. Conclusion: Tinnitus has the potential to increase the risk of cognitive impairments. Moreover, geriatric patients aged above 60 shows a higher susceptibility to developing cognitive disabilities compared to their younger counterparts.

Poor quality of sleep and musculoskeletal pains among highly trained and elite athletes in Senegal.

BACKGROUND: Previous studies reported that poor sleep quality (PSQ) was associated with musculoskeletal pains (MSP) and poor physical performance in athletes. OBJECTIVE: The current study aimed at determining PSQ and its associations with MSP in some sub-Saharan athletes. METHODS: A cross sectional study was conducted among 205 highly trained and 115 elite athletes (aged: 25 ± 2 years, Body mass index: 22.8 ± 0.9 kg/m2) in Dakar, Senegal, during a competitive season in a variety of sport disciplines including athletics, basketball, football, rugby, wrestling, tennis. Quality of sleep and MSP were assessed using the French version Pittsburgh Sleep Quality Index (PSQI) and French version of Nordic questionnaire respectively. Pain on body joints during a week was defined as seven-day MSP (MSP-7d) and PSQ for a PSQI > 5. RESULTS: 27.8% (95%CI: 23.2-32.9) of the overall sample suffered PSQ, with 33.7% (95%CI: 24.7-44.0) in basketball and 24.7% (95%CI: 16.9-34.6) in football. According to athletic status and gender, PSQ was more prevalent among highly trained (66.3; 95%CI: 55.9-75.3) and men (69.7%; 95%CI: 59.5-78.7). Among athletes with PSQ 43.8% (95%CI: 33.9-54.2) suffered MSP-7d, with 36.6%; highly trained (95%CI: 23.7-42.9) and 28.1% female. Considering body region, hips/thigh (14.6%; 95% CI: 8.74-23.4) and upper back (13.5%; 95%CI: 7.88 -21, 1) were more affected. Basketball players were more affected from MSP (MSP-7d = 38.5%; 95%CI: 24. 9-54.1) on high on wrists/hands (MSP-7d = 44.4%; 95%CI: 18.9 -73.3; P = 0.04). Based on athletic status, MSP-7d were higher on highly trained necks (100%; 95%CI: 56.1-100; p = 0.04). PSQ was associated with basketball (OR: 3.062, 95%CI: 1.130-8.300, p = 0.02) compared to Athletic. PSQ and MSP-7d were associated on Wrist/hands (OR: 3.352, 95%CI: 1.235-9.099, p = 0.01), and at the upper back (OR: 5.820, 95%CI: 2.096-16.161, p = 0.0007). CONCLUSION: These results indicate that PSQ is considerable among Senegalese athletes and is associated with MSP during a week. Hence, we recommend to look for strategies optimizing good quality of sleep in order to reduce pains, to improve health.

Mobile phone addiction and suicide behaviors among Chinese adolescents: The mediation of poor sleep quality.

Background and aims: Mobile phone addiction (MPA) is emerging among adolescents, especially during the COVID-19 pandemic. Nevertheless, there is a dearth of knowledge regarding the correlation between MPA and suicide behaviors and its mechanism. The objective of the current study is exploring the direct effect of MPA on suicide behaviors and the indirect effect through poor sleep quality. Methods: A total of 18,900 Chinese adolescents aged 12 to 18 were recruited via a multi-stage cluster sampling method. Results: The prevalence of MPA and poor sleep quality was 26.2 and 23.1%, respectively. During the past year, 24.4% participants were involved in suicide behaviors. Specifically, suicide ideators, suicide planners, and suicide attempters were 10.7, 8.4, and 5.3%, respectively. Particularly, rural females had the highest prevalence of suicide behaviors, MPA, and poor sleep quality. Logistic regression analysis showed that MPA was significantly associated with suicide ideators (OR = 1.22, 95% CI: 1.09-1.37, p < 0.001) and planners (OR = 1.18, 95% CI: 1.04-1.34, p < 0.05), but not for suicide attempters (p > 0.05). Structural equation modelling demonstrated that MPA had direct effect on suicide behaviors (ß = 0.145, 95% CI = 0.127-0.160), and poor sleep quality partially mediated the relationship (the mediating ratio was 46.7%). The mediating ratio of poor sleep quality was the highest in urban males. Conclusions: MPA has both direct and indirect effects on suicide behaviors. For suicide prevention, limited mobile phone use and improvement sleep quality may be practical for adolescents. Additionally, more efforts of intervention could give priority to rural girls.

The feasibility of a sleep education program for informal dementia care dyads: A pilot randomized controlled trial.

BACKGROUND: Untreated sleep problems in both persons living with dementia (PLWD) and their family care partners (CP) impact their health and quality of life. This pilot study tested a sleep intervention program for both dyad members. METHODS: Thirty dyads were randomized to a 5-session Care2Sleep intervention (n = 15 dyads) or an information-only control group (n = 15 dyads) delivered in-person or by video-telehealth by trained sleep educators. Care2Sleep is a manual-based program, incorporating key components of cognitive behavioral therapy for insomnia, daily light exposure and walking, and problem-solving for dementia-related behaviors. Adherence with Care2Sleep recommendations was assessed. Sleep outcomes included actigraphy-measured sleep efficiency (SE) and total wake time (TWT) for dyads, and the Pittsburgh Sleep Quality Index (PSQI) for CP. Other outcomes for CP included the Zarit Burden Interview (ZBI) and positive aspects of caregiving (PAC). Outcomes were measured at baseline, posttreatment, and 3-month follow-up. A 2 (group) by 3 (time) mixed model analysis of variance tested treatment effects. RESULTS: Study feasibility was demonstrated, with 13 dyads completing all five sessions of Care2Sleep program and 14 completing the control condition. In the Care2Sleep group, the dyads adhered to recommended sleep schedules of 76% for bedtime and 72% for get-up time for PLWD, and 69% for bedtime and 67% for get-up time for CP. There were several nonsignificant trends in outcomes from baseline to 3-month follow-up between the two groups. For example, SE increased by 3.2% more for PLWD and 3.2% more for CP with Care2Sleep versus control. TWT decreased by 14 min more for PLWD and 12 min more for CP with Care2Sleep versus control at the 3-month follow-up. CP in Care2Sleep also showed improvement in the PSQI, ZBI, and PAC scores. CONCLUSIONS: A dyadic approach to sleep improvement is feasible. Larger trials are needed to test effects of this intervention for PLWD and their family CP. CLINICALTRIALS: gov: NCT03455569.

Sleep Efficiency and Sleep Onset Latency in One Saskatchewan First Nation.

BACKGROUND: Sleep efficiency and sleep onset latency are two measures that can be used to assess sleep quality. Factors that are related to sleep quality include age, sex, sociodemographic factors, and physical and mental health status. This study examines factors related to sleep efficiency and sleep onset latency in one First Nation in Saskatchewan, Canada. METHODS: A baseline survey of the First Nations Sleep Health project was completed between 2018 and 2019 in collaboration with two Cree First Nations. One-night actigraphy evaluations were completed within one of the two First Nations. Objective actigraphy evaluations included sleep efficiency and sleep onset latency. A total of 167 individuals participated, and of these, 156 observations were available for analysis. Statistical analysis was conducted using logistic and linear regression models. RESULTS: More females (61%) than males participated in the actigraphy study, with the mean age being higher for females (39.6 years) than males (35.0 years). The mean sleep efficiency was 83.38%, and the mean sleep onset latency was 20.74 (SD = 27.25) minutes. Age, chronic pain, ever having high blood pressure, and smoking inside the house were associated with an increased risk of poor sleep efficiency in the multiple logistic regression model. Age, chronic pain, ever having anxiety, heart-related illness, and smoking inside the house were associated with longer sleep onset latency in the multiple linear regression model. CONCLUSIONS: Sleep efficiency and sleep onset latency were associated with physical and environmental factors in this First Nation.

Insomnia, poor sleep quality and perinatal suicidal risk: A systematic review and meta-analysis.

Suicidal risk in mothers is a public health priority. Risk factors include biological, psychological and psychosocial factors. Among the biological factors, the role of sleep disturbances as potential contributors to increased suicidal risk during the peripartum period is becoming apparent. To explore this further, we conducted a systematic review following the PRISMA criteria. Currently, 10 studies have examined the role of insomnia and poor sleep quality in suicidal risk during the peripartum period and have involved 807,760 women. The data showed that disturbed sleep and poor sleep quality increase the risk of suicidal ideation in both pregnant women with and without perinatal depression. The results of the meta-analysis indicated that insomnia and poor sleep quality increase the odds of suicidal risk in pregnant women by more than threefold (OR = 3.47; 95% CI: 2.63-4.57). Specifically, the odds ratio (OR) for poor sleep quality was 3.72 (95% CI: 2.58-5.34; p < 0.001), and for insomnia symptoms, after taking into account perinatal depression, was 4.76 (95% CI: 1.83-12.34; p < 0.001). These findings emphasise the importance of assessing and addressing sleep disturbances during the peripartum period to mitigate their adverse effects on peripartum psychopathology and suicidal risk.

Poor sleep versus exercise: A duel to decide whether pain resolves or persists after injury.

Poor sleep is thought to enhance pain via increasing peripheral and/or central sensitization. Aerobic exercise, conversely, relives pain via reducing sensitization, among other mechanisms. This raises two clinical questions: (1) does poor sleep contribute to the transition from acute-to-persistent pain, and (2) can exercise protect against this transition? This study tested these questions and explored underlying mechanisms in a controlled injury model. Twenty-nine adult female Sprague-Dawley rats performed an intensive lever-pulling task for 4 weeks to induce symptoms consistent with clinical acute-onset overuse injury. Rats were then divided into three groups and exposed for 4 weeks to either: voluntary exercise via access to a running wheel, sleep disturbance, or both. Pain-related behaviours (forepaw mechanical sensitivity, reflexive grip strength), systemic levels of brain derived neurotrophic factor (BDNF), estradiol and corticosterone, and white blood cells (WBC) were assessed pre-injury, post-injury and post-intervention. Mechanical sensitivity increased post-injury and remained elevated with sleep disturbance alone, but decreased to pre-injury levels with exercise both with and without sleep disturbance. Reflexive grip strength decreased post-injury but recovered post-intervention-more with exercise than sleep disturbance. BDNF increased with sleep disturbance alone, remained at pre-injury levels with exercise regardless of sleep, and correlated with mechanical sensitivity. WBCs and estradiol increased with exercise alone and together with sleep disturbance, respectively. Corticosterone was not impacted by injury/intervention. Findings provide preliminary evidence for a role of poor sleep in the transition from acute-to-persistent pain, and the potential for aerobic exercise to counter these effects. BDNF might have a role in these relationships.

Association of obstructive sleep apnea and sleep quality with cognitive function: a study of middle-aged and elderly persons in India.

INTRODUCTION: Symptoms of obstructive sleep apnea (OSA) and poor sleep quality affect around one in ten people in India. We aimed to determine if OSA symptoms and poor sleep quality are independently associated with cognition in middle-aged and elderly urban Indian populations. METHODS: We studied the cross-sectional association between OSA symptoms (by Berlin Questionnaire), poor sleep quality (by Pittsburgh Sleep Quality Index), and cognitive function in adults ≥ 50 years. Using a standard neuropsychological battery for cognitive function, a G-factor was derived as the first rotated principal component assessing domains of information processing, memory, and executive function. The associations of exposures with cognitive measures were modeled using linear regression, adjusted for metabolic risk factors, lifestyle factors, and psychosocial problems, followed by stratified analysis by decadal age group. RESULTS: A total of 7505 adults were enrolled. Excluding those with MMSE < 26 (n 710), of 6795 individuals (49.2% women), mean (SD) age 64.2 (9.0) years, 38.3% had high risk of OSA symptoms, and 15.9% had poor sleep quality. OSA symptoms were negatively associated with cognitive domains of information processing (adjusted beta coefficient of z-score - 0.02, p-value 0.006), memory (- 0.03, 0.014), and G-factor (- 0.11, 0.014) in full-model. Stratified analysis by age group showed significant adverse effects of OSA symptoms on cognition for middle-aged people (50-60 years) (- 0.26, 0.001), but not in later age groups. Poor sleep quality was also associated with lower cognitive scores for G-factor (- 0.48, < 0.001), memory (- 0.08, 0.005), and executive domains (- 0.12, < 0.001), but not with information domain. CONCLUSION: The findings suggest that both symptoms of OSA and poor sleep quality have a direct adverse impact on cognition in an Indian setting. A modest effect of age on the relationship of OSA and cognition was also observed.