ove sleep in those settings.Our data show that white noise significantly improved sleep based on subjective and objective measurements in subjects complaining of difficulty sleeping due to high levels of environmental noise. This suggests that the application of white noise may be an effective tool in helping to improve sleep in those settings. We conducted a meta-analysis and systematic review to identify a reliable estimate of sleep problems prevalence among children in mainland China and to describe its epidemiological characteristics. Relevant studies were searched thoroughly via electronic databases included China National Knowledge Infrastructure, Wanfang, Weipu, PubMed, Embase and Medline databases from inception until December 2020. Prevalence estimates were calculated by random-effects models. The sources of heterogeneity were explored using subgroup analyses and Meta-regression analysis, and publication bias was estimated by funnel plots and Egger's Test. Overall, 66 studies were included in this meta-analysis, which revealed that the pooled prevalence of sleep problems was 37.6% (95%CI 34.3-40.9%) with high heterogeneity (I =99.6%,P<0.001). The incidence of snoring was 7.7%, choking or gasping was 0.9%, apnea was 1.5%, restless sleep was 11.3%, mouth breathing was 4.7%, hyperhidrosis was 17.2%, leg movements was 2.7%, bruxism waildren in economically backward areas. The aim of this study was twofold. First, to confirm the deleterious aspect of evening screen exposure in school-aged children, in particular the effect of screens in the bedroom. Second, to explore the three-way association between degree of screen exposure, sleep disturbance, and ADHD symptoms. FI-6934 clinical trial Solid evidence exists on the link between sleep disturbance and ADHD symptoms, and screen exposure and sleep disturbance. However, no studies have formally assessed the impact of screen exposure on ADHD symptoms in children, as a function of sleep disturbance. Parents of 374 French children (201 girls, 173 boys, mean age of 10.8±2.8 years old) completed the Sleep Disturbance Scale for Children (SDSC), the Attention-Deficit/Hyperactivity Disorder (ADHD) Rating Scale, and a questionnaire about their children's screen habits (total hours in the morning, afternoon, and evening per day). Correlational analyses between evening screen exposure, sleep quality and behavioral problems were conducted. Then, formal mediationsewhere) in future studies. Changes have occurred in children's sleep habits during the coronavirus disease 2019 (COVID-19) pandemic. The purpose of this study was to compare the sleep patterns during the COVID-19 pandemic of school age children of health worker parents (Group 1) and non-health worker parents (Group 2). One hundred twenty-two participants were included in Group 1 and 250 in Group 2. The families' sociodemographic characteristics (education levels and occupations of mothers and fathers, parental shift-working status, monthly family income, number of children in the family, and place of residence), general information for the children taking part (diagnosis of COVID-19 or COVID-19 related isolation, distance education, participation in sporting activities, time spent watching TV, time devoted to reading, time spent on telephones/tablets/computers, and time spent on indoor activities), and the responses given to the Children's Sleep Habits Questionnaire (CSQH)-abbreviated form were all examined. Group 1 consisted of for the first time in this study. Further assessment of the effects of the COVID-19 pandemic on children's sleep habits is now required, and appropriate measures must be taken in the light of the results obtained. The literature has shown a widespread use of portable electronic devices among children over the last years. This study aimed to identify the availability of different media devices at home versus in children's bedroom according to the socioeconomic status (SES), and analyze the association between that availability and children's screen- and sleep-time on week and weekend days. Data from 3 to 10 year-old children (n=8430) from a cross-sectional study conducted in Portugal (2016/17) was used. Screen- and sleep-time, availability of media devices, father and mother education (as a proxy measured of SES) were assessed via questionnaire. Available devices at home were significantly more common among high-SES families; while media devices in the bedroom were more frequent in low-SES families (p<0.001). In preschool and elementary school-aged children, media devices in the bedroom were associated with increase screen-time and shorter sleep per day. Also, mobile devices in the bedroom were shown to exert similar, or even more, influence on children's screen- and sleep-time as television. Further research is needed to explore the pathways by which different electronic media negatively impacts on children's sleep and screen-time and to develop effective strategies to minimize device access at bedtime.Further research is needed to explore the pathways by which different electronic media negatively impacts on children's sleep and screen-time and to develop effective strategies to minimize device access at bedtime. Arterial stiffness and increased blood pressure variability (BPV) are important subclinical cardiovascular diseases (CVDs). Evidence is accumulating that poor sleep is associated with subclinical CVDs. The purpose of our study was to investigate how sleep was related to arterial stiffness and BPV. We also explored whether sleep moderated the association between arterial stiffness and BPV. We conducted a cross-sectional study including 78 healthy adults aged between 35 and 64 years. Variables of interest were 1) objective seep characteristics, assessed with a wrist actigraphy for two consecutive nights; 2) arterial stiffness, measured by carotid-femoral pulse wave velocity (cfPWV); and 3) BPV, measured using an ambulatory blood pressure monitor over 24h and estimated by average real variability. Lower sleep efficiency was an independent predictor of higher cfPWV and higher systolic BPV, while longer wake after sleep onset (WASO) was an independent predictor of higher cfPWV only. In addition, cfPWV showed a positive relationship with systolic BPV, and this relationship was moderated by sleep efficiency and WASO, respectively.