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Reference value of brachial-ankle pulse wave velocity for the eastern Chinese population and potential influencing factors BJMBR
Zi-Sheng,Ai; Jue,Li; Zhong-Min,Liu; Hui-Min,Fan; Zhang,Dai-Fu; Yun,Zhu; Zhang,Li-Juan; Zhu,Wen-Qing; Bao,Yan.
The present study was conducted to obtain reference values for brachial-ankle pulse wave velocity (baPWV) and to evaluate influencing factors of baPWV according to gender. Using automatic devices, baPWV was measured simultaneously in 2095 subjects. A total of 647 healthy subjects, none of whom presented atherosclerotic risk factors, were analyzed in the present study. Two different statistical methods were used to obtain reference values for baPWV according to subject gender and age. The association between baPWV value and gender, as well as other features, were analyzed. For male subjects, multiple stepwise analysis showed that age, systolic blood pressure (SBP), heart rate (HR), and plasma levels of triglycerides (TG) were independent predictors of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Pulse wave velocity; Reference value; Age; Gender; Influencing factor.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2011001000004
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Evaluation on the Influencing Factors of Agricultural Land Productivity in Huang-Huai Plain, China AgEcon
Song, Yan-Hua; Wang, Guo-Qiang.
Taking Huang-Huai Plain as an example, evaluation index system is established from four aspects, including the resources condition, the social and economic condition, the agricultural science and technology condition, and the disaster resistant and sustainable production condition. Correlation coefficient method and expert consultation method are used to determine the weight of evaluation index. After the standardization of extreme value, weighted sum method and multiple regression method are adopted to evaluate the influencing factors of agricultural land productivity in Huang-Huai Plain, China. Evaluation result shows that agricultural science and technology condition has a lower contribution rate to the productivity of Huang-Huai Plain than that to...
Tipo: Journal Article Palavras-chave: Huang-Huai Plain; Agricultural land productivity; Influencing factor; Evaluation index system; China; Agribusiness.
Ano: 2010 URL: http://purl.umn.edu/97637
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Influencing Factors and Optimization of Agricultural Listed Companies in China AgEcon
Lin, Xue; Jia, Xian-wei.
This paper reviews the connotation of agricultural listed company and the related researches on capital structure theory of enterprises in China. Based on this, research hypothesis is put forward. Capital structure has positive correlation with the scale, growth and debt paying ability of agricultural listed company, and has negative correlation with the profitability, operating capability and cash capacity. Taking 37 agricultural listed companies as the research samples, a total of 15 financial indices reflecting the growth, profitability, enterprise scale, operating capacity, cash capability and debt paying ability are selected to conduct factor analysis. Based on the principle of eigenvalue greater than 1, five factors are ascertained, which can explain...
Tipo: Thesis or Dissertation Palavras-chave: Agricultural listed company; Capital structure; Influencing factor; Optimization; China; Agribusiness; Industrial Organization.
Ano: 2009 URL: http://purl.umn.edu/54074
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Target Prediction of Cultivated Land Resources Based on Influencing Factors and Time Series Model—A Case of Anqiu City, China AgEcon
Wu, Jun; Cheng, Yu.
Taking Anqiu City, Shandong Province, China as an example, dynamic change of cultivated land resources of Anqiu City is analyzed from the aspects of the quantitative change of cultivated land resources, the structural change of cultivated land resources, and the regional differences of cultivated land change. Based on the land demand prediction of grain demand, the land demand prediction of economic crop production, and the land requirement goal, factors affecting the requirement goals of cultivated land resources are discussed. Linear Prediction Model and Polynomial Forecasting Model are used to discuss the goal forecast of cultivated land resources based on time series, which provides basis for decision making of land use in Anqiu City within planning...
Tipo: Journal Article Palavras-chave: Land resources; Influencing factor; Time series; Anqiu City; China; Agribusiness.
Ano: 2009 URL: http://purl.umn.edu/93456
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Spatial Agglomeration Degree and Influencing Factors of Main Agricultural Products in Guangdong Province of China AgEcon
Chen, Weilian; Zhang, Hongou; Wang, Rongrong; Chen, Jing.
This paper introduces the calculation formula and measure standard of Gini coefficient, and measures the spatial agglomeration degree of main agricultural products in Guangdong Province by Gini coefficient. We also analyze the influencing factors of the agglomeration of main agricultural products in Guangdong Province, and put forward related suggestions.
Tipo: Thesis or Dissertation Palavras-chave: Guangdong Province; Main agricultural product; Spatial agglomeration degree; Influencing factor; China; Marketing; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; Teaching/Communication/Extension/Profession.
Ano: 2009 URL: http://purl.umn.edu/53530
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