A high level of social support can improve long-term diabetes self-management. Support from a single source has been evaluated. This study aims to analyze support from multiple and multilevel sources for diabetic pati...A high level of social support can improve long-term diabetes self-management. Support from a single source has been evaluated. This study aims to analyze support from multiple and multilevel sources for diabetic patients by using the Chronic Illness Resources Survey （CIRS）. Factors influencing the utilization of the CIRS were also evaluated. A total of 297 patients with diabetes were investigated using the CIRS and Perceived Diabetes Self-management Scale in Shihezi City, China. Descriptive statistics were used to explain demographic variables and scores of the scales. Factors affecting the utilization of chronic illness resources were determined through univariate analysis and then examined by multivariate logistic regression analysis. Of the 297 diabetic patients surveyed, 67% failed to reach the standard （more than 3 points） of utilizing chronic illness resources. Moreover, utilization of chronic illness resources was positively moderately correlated with self-management of diabetes （r = 0.75, P 〈 0.05）. According to the multivariate logistic regression analysis, age （OR, 3.42; 95%CI, 1.19-9.84） and monthly income （OR, 5.27; 95%CI, 1.86-14.90） were significantly positively associated with the CIRS score. Individuals with high school （OR, 2.61; 95%CI, 1.13-6.05） and college （OR, 3.02; 95%CI, 1.13-8.04） degrees obtained higher scores in the survey than those with elementary school education. Results indicated that utilization of resources and support for chronic illness self-management, particularly personal adjustment and organization, were not ideal among diabetics in the communities of north-western China. Improved utilization of chronic illness resources was conducive for proper diabetes self-management. Furthermore, the level of utilization of chronic illness resources increased with age, literacy level, and monthly income.展开更多
Organochlorine pesticide （OCP） concentrations in tree bark from the upper Yellow River region were determined. Total OCP concentrations ranged from 2.7 to 82 ng/g dw, with a mean of 20 ng/g dw. Concentrations of tot...Organochlorine pesticide （OCP） concentrations in tree bark from the upper Yellow River region were determined. Total OCP concentrations ranged from 2.7 to 82 ng/g dw, with a mean of 20 ng/g dw. Concentrations of total （E） DDTs （0.49-37 ng/g dw）, HCHs （0.55-4.5 ng/g dw）, and HCB （0.1-1.0 ng/g dw） were much higher than the other OCPs and accounted for 89% of the YOCP concentrations. p,p＇-DDT was the dominant member of the DDT pesticide group and [5-HCH was the dominant HCH isomer. The p,p＇-DDT/p,p＇-DDE and ct-HCH/y-HCH ratios suggested that there were recent DDT and y-HCH releases. OCP concentrations in the air were estimated from the tree bark, and the estimated median 3ZDDTs, EHCHs, and HCB concentrations in the air were 0.09, 0.14, and 0.024 pg/m3, respectively. The relationship between total OCP concentrations and socioeconomic and natural environment indices were assessed using multiple linear regression analysis, and a regression equation including all these factors was obtained. Population density and tertiary industry were the two dominant factors that appeared to affect OCP concentrations in the upper Yellow River region.展开更多
文摘A high level of social support can improve long-term diabetes self-management. Support from a single source has been evaluated. This study aims to analyze support from multiple and multilevel sources for diabetic patients by using the Chronic Illness Resources Survey （CIRS）. Factors influencing the utilization of the CIRS were also evaluated. A total of 297 patients with diabetes were investigated using the CIRS and Perceived Diabetes Self-management Scale in Shihezi City, China. Descriptive statistics were used to explain demographic variables and scores of the scales. Factors affecting the utilization of chronic illness resources were determined through univariate analysis and then examined by multivariate logistic regression analysis. Of the 297 diabetic patients surveyed, 67% failed to reach the standard （more than 3 points） of utilizing chronic illness resources. Moreover, utilization of chronic illness resources was positively moderately correlated with self-management of diabetes （r = 0.75, P 〈 0.05）. According to the multivariate logistic regression analysis, age （OR, 3.42; 95%CI, 1.19-9.84） and monthly income （OR, 5.27; 95%CI, 1.86-14.90） were significantly positively associated with the CIRS score. Individuals with high school （OR, 2.61; 95%CI, 1.13-6.05） and college （OR, 3.02; 95%CI, 1.13-8.04） degrees obtained higher scores in the survey than those with elementary school education. Results indicated that utilization of resources and support for chronic illness self-management, particularly personal adjustment and organization, were not ideal among diabetics in the communities of north-western China. Improved utilization of chronic illness resources was conducive for proper diabetes self-management. Furthermore, the level of utilization of chronic illness resources increased with age, literacy level, and monthly income.
基金supported by the 985 Engineering Project(No.MUC 985-9)the Fundamental Research Funds for the Central Universities of China
文摘Organochlorine pesticide （OCP） concentrations in tree bark from the upper Yellow River region were determined. Total OCP concentrations ranged from 2.7 to 82 ng/g dw, with a mean of 20 ng/g dw. Concentrations of total （E） DDTs （0.49-37 ng/g dw）, HCHs （0.55-4.5 ng/g dw）, and HCB （0.1-1.0 ng/g dw） were much higher than the other OCPs and accounted for 89% of the YOCP concentrations. p,p＇-DDT was the dominant member of the DDT pesticide group and [5-HCH was the dominant HCH isomer. The p,p＇-DDT/p,p＇-DDE and ct-HCH/y-HCH ratios suggested that there were recent DDT and y-HCH releases. OCP concentrations in the air were estimated from the tree bark, and the estimated median 3ZDDTs, EHCHs, and HCB concentrations in the air were 0.09, 0.14, and 0.024 pg/m3, respectively. The relationship between total OCP concentrations and socioeconomic and natural environment indices were assessed using multiple linear regression analysis, and a regression equation including all these factors was obtained. Population density and tertiary industry were the two dominant factors that appeared to affect OCP concentrations in the upper Yellow River region.
