Objective: To summarize the evidence of various exercise modalities on population with insomnia disorders. Method: PubMed, Embase, Cochrane Library, and Web of Science were searched for eligible studies published from inception to October 2022 and updated on September 2023. Systematic reviews with meta -analyses and randomized controlled trials designed to investigate the effect of various exercise modalities on population with insomnia were eligible. Results: A total of 4 SRs with (very) low methodological quality and 1034 participants in 10 network metaanalyses explored the association between different types and intensity exercise modalities with insomnia disorders. Various exercise modalities could significantly improve total sleep time and sleep quality and alleviate insomnia severity. Compared to passive control, moderate aerobic exercise, moderate aerobic exercise combined with light intensity strength and mind -body exercise can improve sleep efficiency and reduce wake after sleep onset by objectively measured. Moderate intensity strength, light intensity strength and mind -body exercise can improve sleep efficiency subjectively measured; mind -body exercise can reduce sleep onset latency and wake time after sleep onset, and increase total sleep time; moderate aerobic exercise can reduce sleep onset latency. Moderate intensity strength, light intensity strength, mind body exercise and moderate aerobic exercise combined with light intensity strength can the severity of insomnia and improv sleep quality. Conclusion: Exercise had a positive effect on relief insomnia and improve sleep quality. Moderate aerobic exercise, mind -body exercise and moderate aerobic exercise combined with light intensity strength play an important role in improving the sleep quality in people with insomnia disorders.

Introduction: Despite common, serious, costly, and often fatal conditions affecting up to 50 % of older patients, delirium is often unrecognized and overlooked. We examine the accuracy of the 4AT for detecting older patients with delirium.Methods: We performed a systematic search of PubMed, Web of Science, PsycINFO, and EMBASE databases from inception to April 2020 and updated to January 2022. Four independently reviewers extracted study data and assessed the methodological quality using the revised quality assessment of diagnostic accuracy studies tool (QUADAS-2). Pooled estimates of sensitivity and specificity were generated using a bivariate random effects model. All statistical analyses were performed with STATA version 15.1 and Meta-DiSc version 1.4 software. Results: Eleven studies with 2789 participants were included. The pooled sensitivity and specificity were 0.87 (95 % CI: 0.81-0.91) and 0.87 (95 % CI: 0.79-0.92), respectively, and the positive and negative likelihood ratios were 6.66 (95 % CI: 4.12-10.74) and 0.15 (95 % CI: 0.10-0.23), respectively. Deeks' test indicated no significant publication bias (t = 0.83, P = 0.43). Univariable meta-regression showed that patient selection and flow and timing significantly influenced the pooled sensitivity (P < 0.05), settings significantly influenced the pooled specificity (P < 0.05).Conclusion: Our meta-analysis demonstrates that 4AT is a sensitive and specific screening tool for delirium in older patients. Its brevity and simplicity support its use in routine clinical practice, particularly in time-poor settings. Clinicians should come to a conclusion based largely on the 4AT findings in conjunction with clinical judgment.

Background: Based on randomized controlled trials, a network meta-analysis was conducted to compare treatment effects across varenicline and related smoking interventions. Methods: English databases were screened for randomized controlled trials reporting the effect of varenicline as treatment for smoking. The risk of bias in included trials was assessed using the Cochrane Handbook tool. Stata 15.1 software was used to perform network meta-analysis, and the GRADE approach was used to assess the evidence credibility on the tobacco treatment effects of different interventions. Results: Thirty-four studies involving 26,130 smokers were included in the network meta-analysis. Varenicline and 11 other interventions were reported, yielding 66 pairs of comparisons. Network meta-analysis showed that varenicline monotherapy or its combination with other interventions were superior in achieving smoking cessation compared to bupropion, nicotine replacement therapy, counselling, and placebo. Furthermore, compared to the varenicline, evident abstinence superiority was found in varenicline + bupropion (odds ratio = 1.49, 95% confidence interval [1.02, 2.18]). Finally, the surface under the cumulative ranking curve value indicated that varenicline + bupropion has the highest probability to become the best intervention. Conclusions: Varenicline monotherapy increased the odds of smoking cessation further than bupropion monotherapy, nicotine replacement therapy, counselling, and placebo, while varenicline combined with other interventions may even achieve a better abstinence effect. More credible evidence has been reported indicating that the combination of varenicline and bupropion is a superior treatment for smoking.