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BackgroundThis study aimed to assess the effects of restricting mobile phone use before bedtime on sleep, pre-sleep arousal, mood, and working memory. MethodsThirty-eight participants were randomized to either an intervention group (n = 19), where members were instructed to avoid using their mobile phone 30 minutes before bedtime, or a control group (n = 19), where the participants were given no such instructions. Sleep habit, sleep quality, pre-sleep arousal and mood were measured using the sleep diary, the Pittsburgh sleep quality index, the Pre-sleep Arousal Scale and the Positive and Negative Affect Schedule respectively. Working memory was tested by using the 0-,1-,2-back task (n-back task). ResultsRestricting mobile phone use before bedtime for four weeks was effective in reducing sleep latency, increasing sleep duration, improving sleep quality, reducing pre-sleep arousal, and improving positive affect and working memory. ConclusionsRestricting mobile phone use close to bedtime reduced sleep latency and pre-sleep arousal and increased sleep duration and working memory. This simple change to moderate usage was recommended to individuals with sleep disturbances.

Pterostilbene (PTE) is broadly found in berries and has antioxidant and anti-inflammatory properties.

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ObjectiveAs a malignant tumor with high mortality, lung cancer (LC) often causes great trauma to patients, and a series of negative emotions and a heavy psychological burden accompanies poor prognosis. Whether or not to inform the patients of their condition has always been a controversial topic in the medical community. This retrospective cohort study investigated the association between early informed diagnosis and survival time in patients with LC.MethodsA total of 29 825 patients with LC were enrolled between October 2002 and December 2016. The potential factors influencing LC survival were registered, including knowing their cancer diagnosis status, age, gender, pathological type, clinical stage, surgical history, hospital grade, and patient occupation. All participants were followed up every 6 months until June 2017.ResultsIn June 2017, 23.1% of the participants still survived. Their median survival time (MST) was 11.20 months (95% confidence interval [CI], 10.98‐11.43). Generally, patients that knew their cancer diagnosis had longer MST than those who did not (18.33 months vs 8.77 months, P < .001). By stratified analysis, patients that knew their cancer diagnosis had longer survival time in each subgroup (P < .001, all subgroups). Cox regression analysis showed that knowing their cancer diagnosis was an independent influencing factor for survival in patients with LC (hazard ratio, 0.826; 95% CI, 0.802‐0.851; P < .001).ConclusionsKnowing their cancer diagnosis contributed to longer survival time in patients with LC, providing clear evidence that medical staff and patients' families should fully disclose cancer diagnoses to patients.

Objective: To investigate the prevalence of sleep quality and post-traumatic stress disorder (PTSD) symptoms of healthcare workers (HCWs) and identify the determinants for PTSD symptoms among HCWs in high-risk and low-risk areas during the COVID-19 outbreak in China.Methods: The Pittsburgh Sleep Quality Index and the Impact of Event Scale were used to assess sleep quality and symptoms of PTSD of 421 Chinese HCWs, respectively, from January 30 to March 2, 2020. The influencing factors of PTSD symptoms were identified by univariate analysis and multiple regression.Results: The incidence of HCWs getting PTSD symptoms were 13.2%. HCWs from high-risk areas had significantly poorer sleep quality (p &lt; 0.001). Poor sleep quality was the risk factor of PTSD symptoms for HCWs from high-risk (p = 0.018) and low-risk areas (p &lt; 0.001). Furthermore, non-medical staff were found to be the risk factor for PTSD symptoms only in low-risk areas.Discussion: HCWs in Hubei had poorer sleep quality. Non-medical HCWs from low-risk areas were associated with more severe PTSD symptoms. Mental health programs should be considered for HCWs, especially those who are often overlooked.

Objective To investigate the prevalence of sleep quality and mental disturbances of medical staff and identify the effects of region, epidemic stage, and demographic characteristics during the COVID-19 outbreak in China. Method Self-administered questionnaire were sent to health care workers (HCWs) in China from 30 Jan to 2 March, 2020. The Pittsburgh Sleep Quality Index, the Patient Health Questionare-9, the Generalized Anxiety Disorder-7 and the Impact of Event Scale were used to assess sleep quality, depression symptoms, anxiety symptoms and Post-traumatic stress disorder (PTSD) of HCWs, respectively. The influencing factors of psychological and sleep disturbances were identified by univariate analysis and multiple regression. Result The incidence of people getting depression, anxiety or PTSD symptoms were 11.6%,13.3%, 14.3%, respectively. HCWs in Hubei province experienced significantly poorer sleep quality (t=5.034, P<0.001). The predictors of sleep quality among HCWs were COVID-19 stage 2 (β=.135, p=.014) and 3 (β=.184, p=.001), female (β=.141, p=.003) and older age (β=.160, p=.001).Not working in Hubei province (β=-.264, P<0.001) showed to be a protective factor of sleep quality. The risk factors of depression symptoms were not working in Hubei province (OR=4.318, P<0.001), administrative and logistic staff and others (OR=3.538, p=.011), and higher PSQI score (OR=1.282, P<0.001). Having children (under-age: OR=.292, p=.001, grown-up: OR=.293, p=.042) was identified as a protective factor of having depression symptoms. Poor sleep quality showed to be the risk factor of anxiety and PTSD symptoms as well (both p<.001). Furthermore, administrative and logistic staff and others (OR=3.399, p=.006) were found to be the risk factor of PTSD symptoms among HCWs. Conclusion HCWs had poorer sleep quality on stage 2and 3 of the outbreak. HCWs in Hubei had poorer sleep quality but lighter depression condition. gender, age, occupation and status of having children were associated with sleep and mental health. Mental health programs should be considered for HCWs especially those with specific characteristics. Key words COVID-19, Depression, Anxiety, PTSD, Sleep quality, Health care workers