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.

Background: Handan Eye Study (HES), a large population-based cohort study in rural area of northern China, was one of the few studies focusing on the major eye diseases of rural Chinese population. The aim of this study was to introduce the design, methodology and to assess the data quality of the follow-up phase of HES. Methods: All participants were recruited in Yongnian county of Handan city between 2012 and 2013. Main outcomes were measured by visual quality scales and ocular examinations. We performed the Chi-square test to make comparison of categorical data among groups, One-way analysis of variance and Kruskal-Wallis test was applied to make comparison of continuous data among groups, a post-hoc test was done to make further pairwise comparison. Inter-class correlation coefficients (ICCs) and Kappa coefficients were used to evaluate the consistency between different operators. Logistic regression was used to explore the influence factors of death, odds ratio (OR) and 95% confidence interval (CI) were used to estimate the effect size of each influence factor. Results: The follow-up rate was 85.3%. Subjects were classified into three groups: the follow-up group (n = 5394), the loss to follow-up group (n = 929), and the dead group (n = 507), comparison of their baseline information was done. Compared with the other two groups, age of the dead group (66.52 ± 10.31 years) was the oldest (Z = 651.293, P < 0.001), male proportion was the highest (59.0%) (χ² = 42.351, P < 0.001), only 65.9% of the dead finished middle school education (Z = 205.354, P < 0.001). The marriage percentage, body mass index (BMI), best-corrected visual acuity (BCVA), and intra-ocular pressure of the dead group was the lowest either. Spherical equivalent error (SER) of the dead group was the highest. Besides, history of smoking, hypertension, diabetes, and heart disease were more common in the dead group. Multivariate analysis showed that age (OR = 1.901, 95% CI: 1.074–1.108), gender (OR = 0.317, 95% CI: 0.224–0.448), and BCVA (OR = 0.282, 95% CI: 0.158–0.503) were associated with death. While between the follow-up group and the loss to follow-up group, there was only difference on age, gender, BMI, systolic blood pressure and SER. The Cronbach coefficients of all scales used in the follow-up were ≥0.63 and the cumulative variances were ≥0.61, indicating good reliability and validity. The ICCs and Kappa coefficients between different operators were ≥0.69. Conclusions HES has a high follow-up rate and a low risk of loss to follow-up bias. Age, gender, and BCVA are influence factors of death. Specifically, male subjects are at a higher risk of death than female, age is a risk factor of death while BCVA is a protective factor for death.