They accounted for 74% of all deaths occurring in the United States. Results-In 2017, the 10 leading causes of death were, in rank order: Diseases of heart Malignant neoplasms Accidents (unintentional injuries) Chronic lower respiratory diseases Cerebrovascular diseases Alzheimer disease Diabetes mellitus Influenza and pneumonia Nephritis, nephrotic syndrome and nephrosis and Intentional self-harm (suicide). Cause-of-death statistics are based on the underlying cause of death. Causes of death classified by the International Classification of Diseases, 10th Revision (ICD-10) are ranked according to the number of deaths assigned to rankable causes. Methods-Data in this report are based on information from all death certificates filed in the 50 states and the District of Columbia in 2017. This report supplements "Deaths: Final Data for 2017," the National Center for Health Statistics' annual report of final mortality statistics. Leading causes of infant, neonatal, and postneonatal death are also presented. Objectives-This report presents final 2017 data on the 10 leading causes of death in the United States by age, sex, race, and Hispanic origin. Improving the quality of medical services, promoting the distribution of rural social resources and implementing more recreational activities could be beneficial for the promotion of mental health in rural areas. The depression trajectories are different in urban and rural China. In urban and rural areas, the relationships among marital status, education and age and depression trajectories were different. In rural areas, however, the values were consistently high. Respondents who need help on activities of daily living and instrumental activities of daily living in urban areas were more likely to decline in depression scores. The depression scores of respondents with multimorbidity were more likely to rise, and this result was similar for the disabled respondents. Respondents in urban areas were divided into rising, remaining-low and declining group, and those in rural areas were divided into rising, remaining-low and remaining-high group. Urban and rural depression trajectories were divided into three categories. The relationships among multimorbidity, disability and depression symptom trajectories were analysed via multinomial logistic regression. Chi-square test was used to test the differences in respondents’ characteristics among depression trajectories groups within urban and rural areas. A latent class growth model was used to characterise the trajectories of urban and rural depression symptoms. The purpose of this study was to analyse the trajectories of depression in urban and rural areas, and to analyse the relationship among multimorbidity, disability and other variables and trajectories.Äata from the China Health and Retirement Longitudinal Study were used. Lastly, participants reported changes in behavior intentions such as communicating more with friends and family, engaging in perspective-taking, participating in advocacy and activism on mental health issues, and taking care of themselves and others. Participants also reported having a more open attitude towards mental health, having greater acceptance of mental health issues in themselves and others, and realizing that mental health issues are a community issue. Participants reported changes in knowledge regarding mental health issues, generational differences, and the effects of culture. A total of 118 conference participants filled out the survey.
Participants were assessed for reported changes in knowledge, attitudes, and behavior intentions related to mental health after attending the conference. Asian and Asian American students face culture-specific mental health risk factors, and the current study aims to examine whether a culture-specific community intervention in the form of a conference is an effective modality for psychoeducation in the Asian American community.