Introduction:The prevalence of depression and anxiety among older adults has become a significant public health concern.This study aimed to identify the key demographic and health-related correlates of these mental he...Introduction:The prevalence of depression and anxiety among older adults has become a significant public health concern.This study aimed to identify the key demographic and health-related correlates of these mental health issues.Methods:A cross-sectional survey of seven provincial-level administrative divisions(PLADs)in China was conducted in 2024.The Patient Health Questionnaire-9(PHQ-9)and Generalized Anxiety Disorder-7(GAD-7)scales were used to assess the mental health status of older adults.In total,20,113 participants aged≥60 years were included in this study.Results:The analysis revealed a prevalence rate of 13.8%[95%confidence interval(CI):12.1%–15.5%]for depression and 8.0%(95%CI:7.0%,9.0%)for anxiety.Depression and anxiety symptoms are more common among older adults who are older,female,and have comorbid chronic diseases,lack of physical activity,and poor sleep quality.Compared with good sleep quality,the odds ratio(OR)(95%CI)for depression for those with poor sleep quality was 7.88(6.33,9.79),and for anxiety was 6.42(5.02,8.22),respectively.Conclusions:Early screening for depression and anxiety,lifestyle interventions and chronic disease management should be strengthened to promote the mental health of older adults.展开更多
High-throughput transcriptomics technologies have been widely used to study plant transcriptional reprogramming during the process of plant defense responses, and a large quantity of gene expression data have been acc...High-throughput transcriptomics technologies have been widely used to study plant transcriptional reprogramming during the process of plant defense responses, and a large quantity of gene expression data have been accumulated in public repositories. However, utilization of these data is often hampered by the lack of standard metadata annotation. In this study, we curated2444 public pathogenesis-related gene expression samples from the model plant Arabidopsis and three major crops （maize, rice, and wheat）. We organized the data into a user-friendly database termed as PlaD. Currently, PlaD contains three key features. First, it provides large-scale curated data related to plant defense responses, including gene expression and gene functional annotation data.Second, it provides the visualization of condition-specific expression profiles. Third, it allows users to search co-regulated genes under the infections of various pathogens. Using PlaD, we conducted a large-scale transcriptome analysis to explore the global landscape of gene expression in the curated data. We found that only a small fraction of genes were differentially expressed under multiple conditions, which might be explained by their tendency of having more network connections and shorter network distances in gene networks. Collectively, we hope that PlaD can serve as an important and comprehensive knowledgebase to the community of plant sciences, providing insightful clues to better understand the molecular mechanisms underlying plant immune responses. PlaD is freely available at http：//systbio.cau.edu.cn/plad/index.php or http：//zzdlab.com/plad/index.php.展开更多
基金Supported by the National Natural Science Foundation of China[grant number 81872721]the Chinese Sleep Research Society through the project“Study on the Effect of Smoking on Sleep Disorders”.
文摘Introduction:The prevalence of depression and anxiety among older adults has become a significant public health concern.This study aimed to identify the key demographic and health-related correlates of these mental health issues.Methods:A cross-sectional survey of seven provincial-level administrative divisions(PLADs)in China was conducted in 2024.The Patient Health Questionnaire-9(PHQ-9)and Generalized Anxiety Disorder-7(GAD-7)scales were used to assess the mental health status of older adults.In total,20,113 participants aged≥60 years were included in this study.Results:The analysis revealed a prevalence rate of 13.8%[95%confidence interval(CI):12.1%–15.5%]for depression and 8.0%(95%CI:7.0%,9.0%)for anxiety.Depression and anxiety symptoms are more common among older adults who are older,female,and have comorbid chronic diseases,lack of physical activity,and poor sleep quality.Compared with good sleep quality,the odds ratio(OR)(95%CI)for depression for those with poor sleep quality was 7.88(6.33,9.79),and for anxiety was 6.42(5.02,8.22),respectively.Conclusions:Early screening for depression and anxiety,lifestyle interventions and chronic disease management should be strengthened to promote the mental health of older adults.
基金supported by Beijing Natural Science Foundation (Grant No. 5172021), China
文摘High-throughput transcriptomics technologies have been widely used to study plant transcriptional reprogramming during the process of plant defense responses, and a large quantity of gene expression data have been accumulated in public repositories. However, utilization of these data is often hampered by the lack of standard metadata annotation. In this study, we curated2444 public pathogenesis-related gene expression samples from the model plant Arabidopsis and three major crops （maize, rice, and wheat）. We organized the data into a user-friendly database termed as PlaD. Currently, PlaD contains three key features. First, it provides large-scale curated data related to plant defense responses, including gene expression and gene functional annotation data.Second, it provides the visualization of condition-specific expression profiles. Third, it allows users to search co-regulated genes under the infections of various pathogens. Using PlaD, we conducted a large-scale transcriptome analysis to explore the global landscape of gene expression in the curated data. We found that only a small fraction of genes were differentially expressed under multiple conditions, which might be explained by their tendency of having more network connections and shorter network distances in gene networks. Collectively, we hope that PlaD can serve as an important and comprehensive knowledgebase to the community of plant sciences, providing insightful clues to better understand the molecular mechanisms underlying plant immune responses. PlaD is freely available at http：//systbio.cau.edu.cn/plad/index.php or http：//zzdlab.com/plad/index.php.
