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r epidemic risks. Focusing on the severely affected countries will help bring the global epidemic under control as soon as possible. Under the premise of ensuring the safety and effectiveness of the vaccines, it is a key and feasible direction to improve the yield and vaccination rate of the vaccines, shorten the onset time of the vaccines and prolong the immune persistence.

To explore the personality portraits of patients with type 2 diabetes mellitus (T2DM), its relationship with medication adherence and the influencing factors of medication adherence.

T2DM patients from 22 community health service stations of 4 community health service centers in Tongzhou district and Shunyi district in Beijing were selected as the research objects. A self-designed questionnaire was used to collect demographic information. buy Ruboxistaurin The short version of Big Five personality scale was used to collect personality information, and latent profile analysis was used to explore their personality portraits. The medication adherence was evaluated by medication adherence scale, and the difference of medication adherence among the different personality portraits was explored by analysis of variance. The influencing factors of medication adherence were explored by the ordinal Logistic regression model.

In the study, 751 T2DM patients were included. Latent profile analysis showed that the T2DM patients in thisctive factor for good medication adherence (

=1.567, 95%

1.096-2.237;

=1.774, 95%

1.214-2.591), and the education level also affected the medication adherence.

T2DM can be classified into four types of personality portraits based on Big Five personality theory. The anxiety and negative type after the combination of anxiety type and negative type is the independent risk factor for poor medication adherence. In addition, education level is also the influencing factor of medication compliance.

T2DM can be classified into four types of personality portraits based on Big Five personality theory. The anxiety and negative type after the combination of anxiety type and negative type is the independent risk factor for poor medication adherence. In addition, education level is also the influencing factor of medication compliance.

To investigate the situation of quality of life in patients with type 2 diabetes and its associated factors.

Questionnaires, physical examination and glycated hemoglobin test were conducted in 747 patients with type 2 diabetes. Hemoglobin A1c (HbA1c) was a proxy for glycemic control, diabetes specific quality of life scale (DSQL) score was a proxy for quality of life. Factors associa-ted with DSQL were analyzed by multiple linear regression and structural equation modeling (SEM).

A total of 747 patients were included in this study. The mean HbA1c level was (7.1±1.2)%, with 35.1% reaching the target (262/747). There were significant differences in disease duration, me-dication and use of insulin, smoking, and body mass index (BMI) between the two groups with good and poor glycemic control (

< 0.05). The total score of DSQL was 44.92±13.32, in which average phy-siological factors were the highest, then followed by scores of psychological factors. Multiple linear regression showed that monthly househorol in our study is relatively poor but the quality of life remains well. More attention should be paid to patients who are male, with long diagnosis duration, poor medication adherence, smoking, with depression and with low diabetes-related skills. In practice, health practitioners should be aware of psychological needs of patients, and offer mental health education to patients and their families, in order to help patients manage blood glucose and improve their quality of life.

To explore the prevalence and related factors of osteoarthritis in patients with type 2 diabetes mellitus, and provided a scientific basis for the prevention of the comorbidity.

The data were obtained from the database of all designated medical institutions in Beijing from 2015 to 2017. Data of the adult patients with type 2 diabetes mellitus were collected for descriptive analysis, and a Logistic regression model was used to explore the related factors of osteoarthritis in the patients with type 2 diabetes mellitus.

A total of 1 046 264 diagnosed type 2 diabetes mellitus adult patients were included in our study, with an average age of 63.07 years, and 50.78% were males. Among the patients with type 2 diabetes mellitus, there were 341 561 cases with osteoarthritis, and the prevalence of osteoarthritis was 32.65%. The prevalence of females (38.05%) was higher than that of males (27.41%), and the difference was statistically significant (

< 0.05). Osteoarthritis occurred in all age groups among the comorbidities should be carried out as soon as possible, with the focus on menopausal women.

Our study revealed that the prevalence of osteoarthritis in patients with type 2 diabetes mellitus is high in Beijing area. Health education and disease monitoring should be strengthened in middle-aged and elderly patients. Screening for comorbidities should be carried out as soon as possible, with the focus on menopausal women.

To understand the differences between young male students who have sex with men (MSM) with and without human immunodeficiency virus (HIV)-infection in acquired immure deficiency syndrome (AIDS)-related knowledge and behavior, and to provide a scientific reference to make targeted and effective measures in AIDS prevention.

Using snow balling sampling combined with participants' referral, we conducted a questionnaire survey among 548 young MSM students (in whom there were both HIV-positive and HIV-negative) in Harbin, Tianjin, Xi'an, and Chongqing cities from April 2017 to March 2018. The chi-square test and binary Logistic regression were used to compare the differences in AIDS-related knowledge and behavior between males with and without HIV-infection.

A total of 583 questionnaires were obtained, of which 548 were valid, with an effective rate of 94.0%. Having a junior college education or below (

=0.002), a monthly consumption level of less than 2 000 RMB (

=0.021), and living off campus (

=0.004) were associated with being tested positive for HIV.