RESUMEN
Objective: To analyze the effect of intervention programs and influencing factors regarding the community "5+1" staged diabetes target management on patients with type 2 diabetes mellitus (T2DM) and to provide evidence for improving the quality of life (QOL). Methods: A total of 12 community health service centers from Shanxi province, Jiangsu province, and Ningxia Hui autonomous region were selected as intervention group and control group, by stratified cluster sampling method. "5+1" model was used in intervention groups and basic public health services model was applied in control groups for this two-year follow-up. Data was collected through a questionnaire on demographic and disease-related information, while the QOL was measured with SF-36. Multiple linear regression and conducted by SAS 9.4. Results: A total of 2 467 subjects were included at baseline and 1 924 had completed a two-year-long management service. After intervention programs being implemented, the net effect of PCS score between the intervention and the control groups was 13.6, with the net effect of MCS score as 29.8. Results from the multiple linear regression showed that the main factors affecting PCS scores included age, type of medical insurance, baseline PCS score and regions of residency. Main factors related to MCS score included age, type of medical insurance, baseline MCS score, hypertension, and region of residency. Conclusion: Community "5+1" staged diabetes target management model presented favorable effect of improving the QOL on T2DM patients.
Asunto(s)
Humanos , Servicios de Salud Comunitaria/organización & administración , Diabetes Mellitus Tipo 2/terapia , Hipertensión , Evaluación de Programas y Proyectos de Salud , Calidad de Vida , Autocuidado , Automanejo , Encuestas y CuestionariosRESUMEN
Objective: To study the association between blood pressure related dietary pattern and cognitive impairment in the elderly. Methods: In 2015, all participants who were aged ≥60 and participated in the Nutrition and Chronic disease family cohort were involved in the study. Information on demographic variables, lifestyle and health status was collected. Cognitive performance was assessed by the Mini Mental State Evaluation (MMSE) scale. Blood pressure, height and weight were measured by trained medical personnel and fasting venous blood samples were collected for testing on serum level of triglycerides and total cholesterol. Both SBP and DBP were used as response variables when dietary patterns were identified by reduced rank regression method. Logistic regression models were fit to explore the associations of scores on blood pressure-related dietary pattern and cognitive impairment. Results: Two blood related dietary patterns were identified. The first one was characterized by high consumption of vegetables and less meat, eggs and dessert (Pattern 1), while the second one was with high consumption of meat, soy products, wine and fried foods and less intake of dairy (Pattern 2). Data showed that the Pattern 1 was associated with the risk of cognitive impairment. Comparing with the lowest quartile of score of this dietary pattern, the risk of cognitive impairment in the highest quartile group showed a significant (P<0.01) increase, with OR=1.94 (1.21-3.11) and showing significant (P=0.002) linear trend. However, no significant association was observed (P>0.05) with cognitive impairment in the second dietary pattern. Conclusion: Blood pressure-related dietary pattern was positively associated with cognitive impairment.