Descriptive data and daytime symptoms in GSCs, PIPs with EDS and PIPs without EDS.

<p>Female value is in %; other values are in mean ± SD;</p><p>Note: BMI = Body Mass Index; PSQI = Pittsburgh Sleep Quality Index; FSS = Flinders Fatigue Scale; BDI = Beck Depression Inventory-I; SAI = State Anxiety Inventory; TAI = Trait Anxiety Inventory.</p>a<p>Kruskal-Wallis Test.</p>b<p>Tukey Test;</p>c<p>PIPs without EDS vs. GCSs.</p>d<p>PIPs with EDS vs. GCSs.</p

Scatter-plots demonstrating correlations for MSLT versus overall RT in good sleeper controls (left panel) and primary insomnia patients (right panel).

<p>RT = reaction time; MSLT = multiple sleep latency test.</p

The flow chart of experimental process: (A, the four cue conditions; B, three target conditions; C, an example of the procedure).

<p>RT = reaction time.</p

PSG sleep data in GSCs, PIPs with EDS and PIPs without EDS (mean ± SD).

<p>Note: SOL = sleep onset latency; TIB = time in bed; TST = total sleep time; WASO = wake time after sleep onset; SE = sleep efficiency; REM = rapid eye movement Latency; MA index = microarousal index;</p>a<p>Kruskal-Wallis Test.</p>b<p>Tukey Test.</p>c<p>PIPs without EDS vs. GCSs.</p>d<p>PIPs without EDS vs. PIPs with EDS.</p

Table_6_The emergence of COVID-19 over-concern immediately after the cancelation of the measures adopted by the dynamic zero-COVID policy in China.XLSX

BackgroundThis study aimed to report the prevalence of COVID-19 over-concern and its associated factors after the relaxation of the health-protective measures in China.MethodsA team of seven experts in psychiatry and psychology specializing in COVID-19 mental health research from China, Hong Kong, and overseas reached a consensus on the diagnostic criteria for COVID-19 over-concern. Individuals had to meet at least five of the following criteria: (1) at least five physical symptoms; (2) stocking up at least five items related to protecting oneself during the COVID-19 pandemic; (3) obsessive-compulsive symptoms related to the COVID-19 pandemic; (4) illness anxiety related to the COVID-19 pandemic; (5) post-traumatic stress symptoms; (6) depression; (7) anxiety; (8) stress and (9) insomnia. An online survey using snowball sampling collected data on demographics, medical history, views on COVID-19 policies, and symptoms of COVID-19 over-concern. Multivariate linear regression was performed using significant variables from the previous regressions as independent variables against the presence of COVID-19 over-concern as the dependent variable. Breush-Pagan test was used to assess each regression model for heteroskedasticity of residuals.Results1,332 respondents from 31 regions in China participated in the study for 2 weeks from December 25 to 27, 2022, after major changes in the zero-COVID policy. After canceling measures associated with the dynamic zero-COVID policy, 21.2% of respondents fulfilled the diagnostic criteria for COVID-19 over-concern. Factors significantly associated with COVID-19 over-concern were poor self-rated health status (β = 0.07, p ConclusionAfter removing measures associated with the dynamic zero-COVID policy in China, approximately one-fifth of respondents met the diagnostic criteria for COVID-19 over-concern.</p

Multiple Linear Regression Models predicting overall RT in primary insomnia patients.

<p>Note: RT = reaction time; BDI = Beck Depression Inventory-I; SAI = State Anxiety Inventory; MSLT = multiple sleep latency test.</p><p>Model 1: unadjusted;</p><p>Model 2: adjusted for gender, age and education years;</p><p>Model 3: adjusted for gender, age, education years, BDI and TAI;</p><p>Model 4: adjusted for gender, age, education years, BDI, TAI, sleep latency, total sleep time and sleep efficiency.</p

ER training attenuates fibrosis and fetal gene reactivation induced by isoproterenol injection.

<p>(A–D), Quantification of the mRNA transcript abundance for ANF, procollagens IaI, IIIaI, and fibronectin, n = 5/group, All transcript results are normalized to 18-s mRNA levels. * <i>p</i><0.05 versus con group, ^#<i>p</i><0.05 versus ISO group. (E), Histological sections of hearts by H-E staining. The sections were photographed under 100-fold microscopy.</p

L-NAME abolishes the cardio-protective effects of ER.

<p>(A) HW/BW (B) FS and (C) ANF expression were determined following 4 weeks of exercise training and/or isoproterenol injection and/or L-NAME administration. Values are means ± SEM. * <i>p</i><0.05 versus con group, ^#<i>p</i><0.05 versus ISO group.</p

ER training altered the phosphorylation status of AKT and mTOR in comparison with control mice.

<p>(A) Representative immunoblots and densitometric analysis of total AKT and mTOR (B) and phosphorylated AKT at serine 473 (AKT-P^S473) (C) and phosphorylated mTOR at Ser 2448 (mTOR-P^S2448) (D) following 4 weeks of exercise training. Values are means ± SEM. * <i>p</i><0.05 versus con group, ^#<i>p</i><0.05 versus ISO group.</p

Exercise training reduced the myocardial hypertrophy induced by isoproterenol.

<p>Mice were housed in cages fitted with running wheels and allowed to exercise training for 4 weeks. 50/kg isoproterenol was injected intraperitoneal for 8 days either immediately after the training period (ER, n = 7) or 1 week (ER +1W SED, n = 7) or 2 weeks (ER +2Ws SED, n = 7) or 4 week after the training period (ER +4Ws SED, n = 7). Isoproterenol mice (ISO, n = 7) or control mice (con, n = 7) were housed in cages without running for the same durations as were the ER mice and then injected with ISO or vehicle control. (A) heart weight/body weight (HW/BW) ratio, (B) HW/tibia length (TL) ratio and (C) Lung weight (LW)/BW ratio for all groups. Values are means ± SEM. * <i>p</i><0.05 versus con group, ^#<i>p</i><0.05 versus ISO group.</p