ObjectivesMental health problems among university students are a cause of widespread concern. Mindfulness-based interventions (MBIs) delivered online have considerable potential to help university students manage mental health challenges. However, there is no consensus regarding the efficacy of online MBIs. This meta-analysis aims to determine whether MBIs are feasible and effective for improving university students’ mental health.MethodsRandomised controlled trials (RCTs) in Web of Science, PubMed, Cochrane Library, Embase and the US National Library of Medicine (Clinical Trial Registry) published through August 31, 2022, were searched. Two reviewers selected the trials, conducted a critical appraisal, and extracted the data. Nine RCTs met our inclusion criteria.ResultsThis analysis showed that online MBIs were effective in improving depression (standardised mean difference [SMD] = −0.27; 95% confidence interval [CI], −0.48 to −0.07; P = 0.008), anxiety (SMD = −0.47; 95% CI, −080 to −0.14; P = 0.006), stress (SMD = −0.58; 95% CI, −0.79 to −0.37; P < 0.00001), and mindfulness (SMD = 0.71; 95% CI, 0.17 to 1.25; p = 0.009) in university students. No significant effect was found on wellbeing (SMD = 0.30; 95% CI, −0.00 to 0.60; P = 0.05).ConclusionThe findings indicated that online MBIs could effectively improve the mental health of university students. Nevertheless, additional rigorously designed RCTs are required.Systematic review registrationhttps://inplasy.com/inplasy-2022-9-0099/, identifier INPLASY202290099.
Background
Norovirus is a contagious disease. The transmission of norovirus spreads quickly and easily in various ways. Because effective methods to prevent or treat norovirus have not been discovered, it is important to rapidly recognize and report norovirus outbreaks in the early phase. Internet search has been a useful method for people to access information immediately. With the precise record of internet search trends, internet search has been a useful tool to manifest infectious disease outbreaks.
Objective
In this study, we tried to discover the correlation between internet search terms and norovirus infection.
Methods
The internet search trend data of norovirus were obtained from Google Trends. We used cross-correlation analysis to discover the temporal correlation between norovirus and other terms. We also used multiple linear regression with the stepwise method to recognize the most important predictors of internet search trends and norovirus. In addition, we evaluated the temporal correlation between actual norovirus cases and internet search terms in New York, California, and the United States as a whole.
Results
Some Google search terms such as gastroenteritis, watery diarrhea, and stomach bug coincided with norovirus Google Trends. Some Google search terms such as contagious, travel, and party presented earlier than norovirus Google Trends. Some Google search terms such as dehydration, bar, and coronavirus presented several months later than norovirus Google Trends. We found that fever, gastroenteritis, poison, cruise, wedding, and watery diarrhea were important factors correlated with norovirus Google Trends. In actual norovirus cases from New York, California, and the United States as a whole, some Google search terms presented with, earlier, or later than actual norovirus cases.
Conclusions
Our study provides novel strategy-based internet search evidence regarding the epidemiology of norovirus.
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