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Objective: The common chronic non-communicable diseases and epidemiological characteristics of the forsaken elders over 60 in Guangling and Tianzhen were investigated and analyzed to provide reference for health resource allocation, hospital capacity establishing and health management of the forsaken elders in county-level regions. Materials and Methods: The data of 10,331 resident elderly over 60 in Guangling and Tianzhen of Datong Civil Affairs Bureau in the management system for disabled and semi-disabled elderly was collected. The gender, age, main diagnosis and coding of diseases, common chronic non-communicable diseases, and system diseases of the respondents were retrospectively analyzed. Results: The prevalence of the forsaken elders aged over 60 in Guangling and Tianzhen were different. Hypertension, arthritis, type 2 diabetes, hyperlipidemia and cerebral infarction are the top five common chronic non infectious diseases in Guangling, Tianzhen and the two counties. Among the top five common diseases in Guangling, Tianzhen and the two counties, arthritis or rheumatism, hypertension, diabetes or elevated blood sugar were found, which were different in the 60-65, 66-70, 71-75 and 76-80 groups, with the prevalence increasing with age. The top five diseases in Guangling, Tianzhen and the two counties were consistent, while the ranking changed slightly. The proportion of circulatory diseases, musculoskeletal diseases, connective tissue diseases and endocrine/nutritional and metabolic diseases in 60-65, 66-70 and 71-75 groups increased with age, and was much higher than that in other groups. Conclusion: The prevalence and disease spectrum order of common chronic non-communicable diseases and systemic diseases in Guangling and Tianzhen are diverse, also in gender and age groups. As China's county-level local administrative divisions have relatively independent administrative autonomy, medical and health resources can be better configured according to the information mined, accurately maintaining and promoting residents' health. It is suggested to explore the disease management mechanism with county-level administrative divisions as database management units under the background of big data, so as to implement the interconnection and sharing of information among health-related departments in county-level regions.
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Objective: This study aimed to investigate the effect of self-management behavior on the rehabilitation of stroke patients to lay a theoretical basis for using patient-reported outcome (PRO) for rehabilitation evaluation of stroke patients. Materials and methods: 396 patients hospitalized in the Department of Neurology of 4 tertiary general hospitals in Datong from August 1st 2018 to March 31st 2020 were included in accordance with the inclusion and exclusion criteria. The included patients were randomly assigned into a self-management intervention group and a control group. Only the control group received the clinical pathway intervention of stroke rehabilitation. The stroke patients in the intervention group received the self-management intervention in addition to the clinical pathway intervention of stroke rehabilitation. The self-management status and rehabilitation results of the patients were evaluated in 24 h and 3 months after the patients were enrolled, respectively. Statistical description and analysis were conducted using SPSS20.0 statistical software. The general data of the patients were expressed by percentage. The data regarding patients' self-management and rehabilitation results were statistically described by percentage, mean and standard deviation. The comparison between groups was drawn through t-test and analysis of variance. Bonferroni method was used for multiple comparison correction. The correlation between rehabilitation results and patients' basic conditions and self-management was investigated through Pearson correlation analysis. The main factors for self-management behaviors were studied through multiple stepwise regression analyses. Results: The total scores of self-management behaviors of the investigated subjects achieved statistical significance in different ages, occupations, educational levels, income levels, exercise intervention, past medical history, BMI, as well as marital status (P < 0.01). In this study, there was no statistical difference in different genders and medical insurance status (P > 0.05). The total scores of self-management behaviors and the scores of the respective dimension were positively correlated with the health education, exercise intervention, functional training, psychological intervention, food intake, living habits, and functional training of stroke patients at the recovery stage. Educational level and marital status were positively correlated with the rehabilitation results of patients. The PRO questionnaire for the stroke scored higher in married patients and highly educated patients, and there were statistically significant differences (P < 0.01). Family history was negatively correlated with the rehabilitation results of patients. Exercise intervention and functional training were positively correlated with the rehabilitation results of patients. Conclusion: Education level, health education, food intake, exercise and rehabilitation training, sleep, and psychological intervention were the main factors for self-management behavior in stroke patients at the recovery stage. Self-management interventions can effectively increase the health education level of stroke patients, strengthen their self-confidence in disease self-management, facilitate the establishment of effective self-management behavior of patients, and improve their quality of life and subjective well-being. Stroke PRO scale can be used to evaluate the clinical intervention effect of self-management on stroke patients in multiple dimensions, especially evaluating the improvement of subjective mental and psychological state of patients, thus revealing the intervention effect of self-management on stroke patients comprehensively.
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OBJECTIVE: To explore the therapeutic effect and possible mechanism of Huangqi glycoprotein (HQGP) on the development of experimental autoimmune encephalomyelitis (EAE). METHODS: Female C57BL/6 mice were immunized subcutaneously with myelin oligodendrocyte glycoprotein peptide-35-55 (MOG35-55) and divided into HQGP-treated group and EAE control group. Clinical score and body mass were recorded every other day. Inflammatory cell infiltrations of spinal cord were observed by HE and immunofluorescence staining. The cell viability of splenic mononuclear cells (MNCs) was detected by MTT assay. The release of NO was measured by Griess method. The levels of TNF-α, IL-6 and IFN-γ were determined by ELISA. The subtypes of CD4(+)T cells were analyzed by flow cytometry. RESULTS: HQGP treatment delayed the onset of EAE, attenuated the clinical symptoms and inhibited CD68(+) macrophage infiltration into the central nervous system. HQGP inhibited the viability of splenic MNCs, downregulated the secretion of NO, TNF-α, IL-6, and increased the secretion of IFN-γ. In addition, HQGP treatment effectively increased the numbers of CD4(+)CD25(+) T cells, CD4(+)IL-10(+) T cells and CD4(+)IFN-γ(+) T cells. CONCLUSION: HQGP relieve the inflammation of EAE via reducing the number of T cell subsets and inhibiting the secretion of inflammatory cytokines.
