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Objective To analyze the characteristics of patients with progressive muscular atrophy (PMA) and calculate the prevalence of PMA in China in 2016. Methods A retrospective analysis based on China's urban employee basic medical insurance data and the urban residence basic medical insu-rance data from January 1, 2016 to December 31, 2016 was carried out. Children under 18 years old were excluded. Patients with progressive muscular atrophy were identified by disease names and codes. Subgroup analyses by gender, region and age were carried out to calculate the gender-specific, region-specific and age-specific prevalences. Age-adjusted national prevalence was estimated based on 2010 Chinese census data. Sensitivity analyses were done by only considering the observed cases and by excluding the top 10% provinces regarding the missing rate of diagnostic information, respectively. Results A total of 996.09 million person-years were included in this study, with 518.41 million person-years in males and 477.67 million perprovinces regar-ding the missing rate of diagnostic information were 0.17 per 100 000 person-years (95%CI 0.14-0.20) and 0.24 per 100 000 person-years (95%CI 0.20-0.28), respectively. Conclusion This study is to calculate the prevalence of PMA among adults in urban China, which can provide basic statistics for the enactment of PMA related medical policies, and clues for the studies on the mechanisms of PMA.Objective To explore the predictive value of carotid femoral artery pulse wave velocity (CF-PWV), carotid radial artery pulse wave velocity (CR-PWV), cardio-ankle vascular index (CAVI), and ankle brachial index (ABI) on coronary heart disease (CHD) and cerebral infarction (CI), and the preliminary validation of Beijing vascular health stratification (BVHS). Methods Subjects with at least 2 in-patient records were included into the study between 2010 and 2017 from Vascular Medicine Center of Peking University Shougang Hospital. Subjects with CHD or CI, and without data of vascular function at baseline were excluded. Eventually, 467 subjects free of CHD [cohort 1, mean age (63.4±12.3) years, female 42.2%] and 658 subjects free of CI [cohort 2, mean age (64.3±12.2) years, female 48.7%] at baseline were included. The first in-patient records were as the baseline data, the second in-patient records were as a following-up data. Cox proportional hazard regression was used to establish the predictive models of CHD oriction of CHD, and further research is needed to explore the prediction value for CI.Objective To explore the correlation between different personality characteristics and self-management attitude such as medication, exercise and diet in patients with type 2 diabetes mellitus. Methods The patients with type 2 diabetes mellitus from 4 Community Healthcare Services and 22 affiliated community stations of Tongzhou District and Shunyi District of Beijing were selected as subjects. The Chinese big five personality inventory and the self-designed scale including the attitudes of medication, exercise and diet were used in the study. Results In this study, 642 subjects were finally included, among whom the sex ratio of male and female was basically the same, 61.21% were over 61 years old. In this study, different genders had differences in neurotic personality (P less then 0.05), different age groups had differences in agreeableness and openness (P less then 0.05), different education levels had differences in openness and extraversion (P less then 0.05), and different income levels had differences iof patients.Objective To evaluate disability status and equity of the middle-aged and old population in China, and to explore the influencing factors contributing to the inequity of disability. Methods This study was based on data collected from the first wave survey (2007-2010) of World Health Organization Study on Global Ageing and Adult Health (SAGE). Concentration index (CI) and concentration curve were calculated to measure the economic-related inequity of disability among the Chinese middle-aged and old people. The CI was further decomposed in which the attributions of social and individual determinants were calculated. Results The mean score of the World Health Organization Disability Assessment Sche-dule (WHODAS) was 7.32 among the Chinese middle-aged and old people, 6.37 for males and 8.21 for females. The CI for the whole participants was -0.190 9, compared with -0.184 4 for the middle-aged and old men and -0.196 1 for the women. TPCA-1 IKK inhibitor After decomposition of the CI, socioeconomic status contributed most to disability the basis of the importance it attaches to the health of the middle-aged and old population, and makes reducing health inequities a policy priority. The government should pay attention to the provision of healthcare and other resources in areas where development is relatively lagging and where there is a relative concentration of middle-aged and old population. Meanwhile, there should be more significant support for research on health status and equity among the middle-aged and old population to obtain more evidence for proactive responses to rapid population aging in China and policy development.Objective To assess the associations of different monitoring metrics for short-term exposure to ambient ozone (O3) with pulmonary function and airway inflammation in healthy young adults. Methods A total of 97 healthy young college students were recruited and followed in a panel study conducted from December 2017 to June 2018. Each participant underwent 3 follow-up visits, and lung function and fractional exhaled nitric oxide (FeNO) were measured at each visit. Ambient air pollutant concentrations were obtained from the environment monitoring station of Beijing closest to the participant residences, and meteorological data were collected from China Meteorological Data Service Center. Linear mixed-effect models were applied to assess the associations between different monitoring metrics for ambient O3 short-term exposure with pulmonary function or airway inflammation in the healthy young adults. Results During the study period, the P50 (P25, P75) values for ambient O3 concentration expressed as daily 1-hour maximum (O3-1 h max), daily maximum 8-hour average (O3-8 h max) and 24-hour average (O3-24 h avg) were 102.