To explore medication adherence of patients with type 2 diabetes mellitus using the latent profile analysis based on the Big Five personality theory / 北京大学学报(医学版)

OBJECTIVE@#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.@*METHODS@#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. 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.@*RESULTS@#In the study, 751 T2DM patients were included. Latent profile analysis showed that the T2DM patients in this study could be divided into four types of personality portraits, including introverted and stable type (42.7%), negative type (12.7%), anxiety type (15.3%) and active and responsible type (29.3%). Among them, 75 patients said that they did not use medicine or insulin, 5 patients were lack of data, and finally 671 patients with T2DM were included in the analysis about medication adherence. The analysis of variance showed that there was no significant difference in medication adherence between anxiety type (5.55±1.65) and negative type (5.94±1.53, P=0.089), but the medication adherence score of anxiety type was significantly lower than that of introverted and stable type (6.17±1.46, P=0.001) and active and responsible type (6.09±1.65, P=0.004). Anxiety type and negative type were seen as a whole in the ordinal Logistic regression model named anxiety and negative type. The results showed that compared with anxiety and negative type, the active and responsible type or introverted and stable type was the protective factor for good medication adherence (OR=1.567, 95%CI: 1.096-2.237; OR=1.774, 95%CI: 1.214-2.591), and the education level also affected the medication adherence.@*CONCLUSION@#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.

Factors associated with quality of life in 747 patients with type 2 diabetes in Tongzhou District and Shunyi District of Beijing / 北京大学学报(医学版)

OBJECTIVE@#To investigate the situation of quality of life in patients with type 2 diabetes and its associated factors.@*METHODS@#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).@*RESULTS@#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 (P < 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 household income, comorbidities, depression, duration of illness, insulin, hospitalization, and self-efficacy were significantly associated with the total score of DSQL (P < 0.05). SEM showed that blood glucose control was significantly associated with the scores of physical factors (0.166), psychological factors (0.076), and social factors (0.124) of DSQL, respectively. Depression had effects on the physical factors (0.342), psychological factors (0.217), and treatment factors (0.050) of DSQL (P < 0.05).@*CONCLUSION@#Glycemic control 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.

Association between social support and self-management behaviors among patients with diabetes in community / 北京大学学报(医学版)

Objective:To study the status quo of directive and nondirective support from family or friends among patients with diabetes in community and to explore the association between directive, nondirective support from family or friends and self-management behaviors.Methods: The data of the subjects were from the Community Diagnosis in Tongzhou District, Beijing survey.Questionnaire-based investigation, physical examination and glycated hemoglobin test were conducted on 474 eligible patients in community.The summary of diabetes self-care activities measure (SDSCA) was adopted to investigate the self-management behaviors, and directive and nondirective support scale among patients with diabetes (DNSS-PD) was adopted to measure the directive and nondirective support among patients with diabetes.Results: A total of 452 patients with diabetes were included in the analysis.The average score of directive support was 2.53±1.07, and only 27.6% patients had high level directive support.The average score of nondirective support was 3.13±1.12 and 50.8% patients had high level nondirective support.The average SDSCA total score was 35.38±14.21 and the corresponding scoring percentage was 45.95%.Only 20.6% patients had optimal self-management.The total score, score of diet and physical activity, general self-management situation, diet self-management situation and physical activity self-management situation of the patients in high level directive support group were significantly better than in low level directive support group.The total score, score of self-management behaviors in five aspects (diet, physical activity, blood glucose self-monitoring, foot care and smoking), general self-management situation, self-management situation of five aspects of patients in high level nondirective support group were significantly better than in low level nondirective support group.Gender (OR=2.729), nondirective support level (OR=4.890), age (OR=0.969) and body mass index (BMI) (OR=0.819) were important influencing factors of self-management behavior.Conclusion: The status quo of self-management among patients with diabetes is not optimistic.Patients obtain more nondirective support than directive support from family and friends.However, the support level of both nondirective and directive support should be improved in the future.Both high level directive support and high level nondirective support had positive correlation with better self-management behaviors.Nondirective support had positive correlation with five aspects of self-management behavior, while directive support had positive relation with self-management behavior in aspects of diet and physical activity.In addition, more consideration and support of self-management should be provided for older obese male patients with diabetes in community, especially nondirective support.