Multiple Risk Factor Clustering and Risk of Hypertension in the Mongolian Ethnic Population of China

Objective To evaluate whether the clustering of risk factors, both environmental and genetic, increases the risk of essential hypertension （EH） and the accumulation of risk factors influences the blood pressure level in normotensives. Methods On the basis of a prevalence survey, 501 subjects of Mongolian ethnicity （243 hypertensives and 258 normotensives） who were not related to each other were selected to conduct a case-control study. All subjects were interviewed with questionnaires and their blood specimens were collected. Renin gene insertion/deletion （I/D） polymorphism, a new genetic marker, was genotyped with PCR and polyacrylamide gel electrophoresis. Results Overweight, alcohol consumption, and renin gene I/D polymorphism were significant risk factors of EH （P〈0.05）. The odds ratios （OR） for the number of risk factors were 2.39 （95%CI： 0.98-6.74） for one risk factor, 5.03 （95%CI： 2.06-14.18） for two, and 6.09 （95%CI： 1.85-22.38） for three respectively after adjusting for age and sex. In normotensives, age- and sex-adjusted mean blood pressures increased with more accumulation of risk factors. However, there were no significant differences among the different blood pressure levels according to the number of risk factors （P〉0.05）. Conclusion Overweight, alcohol consumption, and renin gene I/D polymorphism are risk factors of EH in the Mongolian ethnic population of China. The accumulation of the risk factors causes a sharp increase of the risk of EH.

Erectile dysfunction: on the efficacy of a phosphodiesterase inhibitor in patients with multiple risk factors

1 Introduction With the 1998 introduction of sildenafil (Viagra), the first available oral phosphodiesterase inhibitor, there

Stock Efficiency Evaluation Based on Multiple Risk Measures:A DEA-Like Envelopment Approach

This paper proposes a new approach for stock efficiency evaluation based on multiple risk measures. A derived programming model with quadratic constraints is developed based on the envelopment form of data envelopment analysis(DEA). The derived model serves as an input-oriented DEA model by minimizing inputs such as multiple risk measures. In addition, the Russell input measure is introduced and the corresponding efficiency results are evaluated. The findings show that stock efficiency evaluation under the new framework is also effective. The efficiency values indicate that the portfolio frontier under the new framework is more externally enveloped than the DEA efficient surface under the standard DEA framework.

A Method for Risky Multiple Attribute Decision Making with Four - dimensional Reference Point

A method based on cumulative prospect theory was proposed to solve risky multiple attribute decision making problems with Four -dimensional reference points. Considering the influence of different learning processes and corresponding features on decision-making, a new reference-learning behavior is added, and a risk-based multiple-attribute decision-making method based on four-dimensional reference point cumulative prospect theory is proposed. Firstly, according to the cumulative prospect theory, the prospect value and the decision function value of the four reference points of learning, time, evaluation value and expected value are calculated respectively, and the cumulative prospect value matrix of each program dynamic is formed. Secondly,according to the WAA operalor, Maximize the stage weighting model to obtain the integrated cumulative prospect value. Finally, on the basis of this, the alternatives are sorted according to the size of the total cumulative prospect value, and compared with other methods, the validity and scientific of the proposed method are proved.

地理可达性和乡村治理如何缓解多重风险对农户福祉的影响?——来自大别山区的实证分析

Despite previous studies on the interconnectedness of livelihood risks and human well-being, limited emphasis has been placed on the influence of geographic accessibility and rural governance on the well-being of rural households. Furthermore, the interplay between geographic accessibility, rural governance, and livelihood risk remains inadequately explored. Based on 522 household samples collected in the Dabie Mounand ordinary least squares regression, this study examines the influence of multiple risks on the subjective well-being of rural households by investigating the moderating roles played by geographic accessibility and rural governance. The results show that(1) multiple risk factors have a significant negative effect on rural households' well-being(β=-0.219, p<0.01);(2) geographic accessibility has a weak positive effect on rural households' well-being(β=0.064, p<0.1) compared to rural governance, which plays a larger positive role(β=0.228, p<0.01);and(3) geographic accessibility has a significant moderating effect on the relationship between multiple risks and rural households' well-being, decreasing the adverse impact of multiple risks on households' well-being. Our findings suggest that geographic accessibility and rural governance have positive implications for enhancing the well-being of rural households. The findings provide policy insight into mitigating livelihood risks and their negative impacts on household well-being in mountainous regions worldwide.

Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing, China：A Cross-sectional Study

Background：Studies in developed countries reveal that poor lifestyle choices triggering diseases typically cluster among children.However,there is insufficient evidence on the clustering of risk behaviors among children in developing countries.This study aimed to determine the clustering of risk behaviors and their social determinants among 4th-and 5th-grade learners in Beijing,China.Methods：The sample comprised of 967 learners from six primary schools enrolled migrant and resident learners by two-stage stratified cluster sampling.Prevalence denoted the risk behaviors and their clustering.A log-linear model was used to explore the clustering patterns.Ordinal logistic regression determined the influence of demographic characteristics,school environment,and family context on behavioral clustering.Results：The prevalence of none,one,two,and three or more risk factors was 61.2%,20.0%,10.8%,and 8.1% for infectious diseases and 46.0%,30.6%,15.4%,and 8.0% for chronic diseases,respectively.Some behaviors appeared dependent and were more likely to be observed together.The three most influential factors for infectious diseases were school type （odds ratio [OR] =4.47,95% confidence interval [CI] 3.00-6.66）,school located in an inner suburb （OR =0.27,95% CI 0.18-0.38）,and gender （OR =0.56,95% CI 0.42-0.74）.Regarding risk behaviors for chronic diseases,clustering was not associated with household registration status and number of appliances,but was significantly associated with school type （OR =5.36,95% CI 3.72-7.73）,school located in an inner suburb （OR =0.59,95% CI 0.43-0.81）,and gender （OR =0.61,95% CI 0.47-0.78）.School environment variables were the most significant contributor to the number of risk behaviors.Conclusions：The characteristics of schools enrolling migrants and residents influenced the number of risk behaviors.Therefore,improved school conditions and integrated behavioral interventions are particularly recommended for health promotion.