The purpose of this review is to identify prevalent trends and risk factors in depression,anxiety,and eating disorders in the adolescent population in the post coronavirus disease 2019(COvID-19)scenario.We examined th...The purpose of this review is to identify prevalent trends and risk factors in depression,anxiety,and eating disorders in the adolescent population in the post coronavirus disease 2019(COvID-19)scenario.We examined the literature published on adolescent mental health since the COVID-19 pandemic.We chose to summarize studies published from 2019 to 2022,using bibliographic search tools.We developed criteria for selecting articles for our review using diagnostic indicators and keywords.Mental health conditions such as depression,anxiety and eating disorders are commonly prevalent in this population and have shown increasing rates in the past three years.Some risk factors associated with these diagnoses include reduction in social interaction,increased workloads,routine shifts,sleep quality,social media usage and parental involvement.Routines,sleep cycles,physical activity,and social media should all be considered as a part of prevention in this population.Approaches that seem to be successful include maintaining social ties and avoiding negative social media usage with harmful content.Increased global public awareness,as well as parental awareness,through media campaigns,is critical to slowing the spread of mental health challenges in adolescents and teenagers in the post-COvID-19 era.展开更多
Shiga toxin producing Escherichia coli(STEC)outbreak is a public health concern as it can potentially cause a variety of clinical manifestations including diarrhea,hemorrhagic colitis and hemolytic uremic syndrome(HUS...Shiga toxin producing Escherichia coli(STEC)outbreak is a public health concern as it can potentially cause a variety of clinical manifestations including diarrhea,hemorrhagic colitis and hemolytic uremic syndrome(HUS).However E.coli are generally innocuous commensal organisms,and there is a need to discriminate pathogenic from non-pathogenic isolates rapidly and accurately.In this study,we have used standard culture based methods and advanced molecular approaches to characterize E.coli in food in a local outbreak investigation.We show that the application of DNA based detection methods including real-time PCR and DNA microarray along with a traditional culture method can identify the organism implicated in an outbreak at the strain level for pathogenic potential.展开更多
文摘The purpose of this review is to identify prevalent trends and risk factors in depression,anxiety,and eating disorders in the adolescent population in the post coronavirus disease 2019(COvID-19)scenario.We examined the literature published on adolescent mental health since the COVID-19 pandemic.We chose to summarize studies published from 2019 to 2022,using bibliographic search tools.We developed criteria for selecting articles for our review using diagnostic indicators and keywords.Mental health conditions such as depression,anxiety and eating disorders are commonly prevalent in this population and have shown increasing rates in the past three years.Some risk factors associated with these diagnoses include reduction in social interaction,increased workloads,routine shifts,sleep quality,social media usage and parental involvement.Routines,sleep cycles,physical activity,and social media should all be considered as a part of prevention in this population.Approaches that seem to be successful include maintaining social ties and avoiding negative social media usage with harmful content.Increased global public awareness,as well as parental awareness,through media campaigns,is critical to slowing the spread of mental health challenges in adolescents and teenagers in the post-COvID-19 era.
文摘Shiga toxin producing Escherichia coli(STEC)outbreak is a public health concern as it can potentially cause a variety of clinical manifestations including diarrhea,hemorrhagic colitis and hemolytic uremic syndrome(HUS).However E.coli are generally innocuous commensal organisms,and there is a need to discriminate pathogenic from non-pathogenic isolates rapidly and accurately.In this study,we have used standard culture based methods and advanced molecular approaches to characterize E.coli in food in a local outbreak investigation.We show that the application of DNA based detection methods including real-time PCR and DNA microarray along with a traditional culture method can identify the organism implicated in an outbreak at the strain level for pathogenic potential.
