Risk Factors for Low Birth Weight and Preterm Birth：A Population-based Case-control Study in Wuhan,China

Low birth weight（LBW） and preterm birth（PB） are associated with newborn mortality and diseases in adulthood.We explored factors related to LBW and PB by conducting a population-based case-control study from January 2011 to December 2013 in Wuhan,China.A total of 337 LBW newborn babies,472 PB babies,and 708 babies with normal birth weights and born from term pregnancies were included in this study.Information of newborns and their parents was collected by trained investigators using questionnaires and referring to medical records.Univariate and logistic regression analyses with the stepwise selection method were used to determine the associations of related factors with LBW and PB.Results showed that maternal hypertension（OR=6.78,95% CI：2.27–20.29,P=0.001）,maternal high-risk pregnancy（OR=1.53,95% CI：1.06–2.21,P=0.022）,and maternal fruit intake ≥300 g per day during the first trimester（OR=1.70,95% CI：1.17–2.45,P=0.005） were associated with LBW.BMI ≥24 kg/m^2 of mother prior to delivery（OR=0.48,95% CI：0.32–0.74,P=0.001） and gestation ≥37 weeks（OR=0.01,95% CI：0.00–0.02,P〈0.034） were protective factors for LBW.Maternal hypertension（OR=3.36,95% CI：1.26–8.98,P=0.016）,maternal high-risk pregnancy（OR=4.38,95% CI：3.26–5.88,P〈0.001）,maternal meal intake of only twice per day（OR=1.88,95% CI：1.10–3.20,P=0.021）,and mother liking food with lots of aginomoto and salt（OR=1.60,95% CI：1.02–2.51,P=0.040） were risk factors for PB.BMI ≥24 kg/m^2 of mother prior to delivery（OR=0.66,95% CI：0.47–0.93,P=0.018）,distance of house from road ≥36 meters（OR=0.72,95% CI：0.53– 0.97,P=0.028）,and living in rural area（OR= 0.60,95% CI：0.37–0.99,P=0.047） were protective factors for PB.Our study demonstrated some risk factors and protective factors for LBW and PB,and provided valuable information for the prevention of the conditions among newborns.

Supply Chain Finance Credit Risk Evaluation Method Based on Self-Adaption Weight

Credit risk is the core issue of supply chain finance. In the supply chain, problems happened in different enterprises can influent the whole to different degrees through transferring, thus statuses of all enterprises and their different influences should be considered when evaluating the supply chain’s credit risk. We examine the characters of supply chain network and complex network, use the local growing complex network to simulate the real supply chain, use cluster analysis to classify the company into several levels;Introducing each level’s self-adaption weight formula according to the company’s quantity and degrees of this level and use the weight to improve the credit evaluation method. The research results indicate that complex network can be used to simulate the supply chain. The credit risk evaluation (CRE) of an enterprise level with bigger note degrees has a greater weight in the supply chain system’s CRE, thus has greater effect on the whole chain. Considering different influences of different enterprise levels can improve credit risk evaluation method’s sensitivity.

Postnatal weight gain in very low birth weight infants in Beijing and the risk of retinopathy of prematurity

AIMTo analyze the low weight gain (WG) from birth to 4 and 6wk of life to predict the development of retinopathy of prematurity (ROP) among very low birth weight (VLBW) preterm babies.METHODSThree hundred and three newborns with VLBW were analyzed. Body weight measurements were recorded weekly. In all patients, the proportion of the WG was defined as the preterm weight measured at the 4th and 6th weeks of life minus the birth weight (BW) divided by the BW. Other risk factors for ROP were also analyzed.RESULTSMean gestational age and mean BW of the whole cohort were 29.56±1.44wk and 1270.58±176.18g respectively. WG proportion at 4wk postnatal age (18.89%±13.58%) were significantly lower in infants with ROP (P=0.003). WG proportion at 6wk was not different between ROP and no ROP group (42.48%±20.36% vs 46.43%±15.65% P=0.118). When all the other risk factors significant for ROP were included in the logistic regression poor WG did not arise as an independent risk factor. Area under the ROC curve was 0.591 (95%CI: 0.515-0.666; P=0.016). For ROP, the best discriminative cutoff of 18.06% of the proportional WG at the 4th week over the BW, sensitivity and specificity values were 67.3% and 50.0% respectively.CONCLUSIONLow WG proportion in the first 4wk of life is maybe an additional predictor of ROP in very low BW infants. Preterm babies with low BW and low WG proportion should be followed closely for ROP.

Indoor air quality risk assessment on the Canadian campus by a multilevel integrated weighted average method

Increasing incidents of indoor air quality(IAQ) related complaints lead us to the fact that IAQ has become a significant occupational health and environmental issue. However, how to effectively evaluate IAQ under different scale of multiple indicators is still a challenge. The traditional single-indicator method is subjected to uncertainties in assessing IAQ due to different subjectivity on good or bad quality and scalar differences of data set. In this study, a multilevel integrated weighted average IAQ method including initial walking through assessment(IWA) and two-layers weighted average method are developed and applied to evaluate IAQ of the laboratory building at the University of Regina in Canada. Some important chemical parameters related to IAQ in terms of volatile organic compounds(VOCs), methanol(HCHO), carbon dioxide(CO2), and carbon monoxide(CO) are evaluated based on 5 months continuous monitoring data. The new integrated assessment result can not only indicates the risk of an individual parameter, but also able to quantify the overall IAQ risk on the sampling site. Finally, some recommendations based on the result are proposed to address sustainable IAQ practices in the sampling area.

Differentiation degree combination weighting method for investment decision-making risk assessment in power grid construction projects

Power grid construction projects are distinguished by their wide variety,high investment,long payback period,and close relation to national development and human welfare.To improve the investment accuracy in such projects and effectively prevent investment risks,this paper proposes an investment optimization decision-making method for multiple power grid construction projects under a certain investment scale.Firstly,an in-depth analysis of the characteristics and development requirements of China’s power grid projects was performed.Thereafter,the time sequence and holographic method was adopted to conduct multi-dimensional,multi-perspective risk assessment of different parts of power grid projects,and a holographic risk assessment index system was developed.Moreover,an investment decision model considering the comprehensive risk based on combination weighting was developed according to the output and input of power grid construction projects.A new combination weighting optimization method that takes into account the investment willingness of enterprises was designed to improve the current weighting evaluation methods.Finally,the validity and applicability of the proposed evaluation method were verified by case examples.

Low Birth Weight at Term: Risk Factors and Perinatal Prognosis in the Teaching Hospital Yalgado Ouédraogo, Burkina Faso

Objective: The objective of our study was to study the risk factors of low birth weight at term in the Teaching Hospital Yalgado (CHU-YO) Ouédraogo. Patients and Methods: This dealt with a comparative and analytical control case study. The group of cases was made up of female patients who gave birth to newborns with low birth weight at term and that of control cases included female patients who delivered a normal-weighted newborn at term. Results: The frequency of low birth weight at term was therefore estimated at 4.4%. The average age of the parturients was 25 ± 6.36 years. Female patients living in a marital setting accounted for 93.1% of cases and 64.4% of them had no income-generating activities. A maternal underweight, a height below 155 cm, passive smoking, and malaria during pregnancy have been identified as the factors associated with a low birth weight. Conclusion: Quality prenatal care could reduce the incidence of low birth weight at term.

Effects of Orlistat - induced Weight Loss on Cardiovascular Risk Factors in Obese Chinese Subjects

Objectives To observe the influence of weight loss induced by orlistat on several cardiovascular diseases risk factors in obese Chinese subjects. Methods Sixty obese Chinese patients participated in a 24 week clinical trial. Participants were prescribed a slightly hypocaloric diet and exercise, then they were randomly assigned double -blind treatment with either orlistat 120 mg three times a day or placebo. Their body weight, blood pressure, fasting glucose, insulin, HbA1c, and serum lipid profile were performed before and after the weight loss intervention. Results After 24 weeks, orlistat -treated group lost more of their body weight than placebo group (6. 66 ± 0. 52 kg, 8. 44±4.08% and 1. 98 ± 0. 44 kg, 2. 44±1. 74 % , respectively, P < 0. 05) . Moreover, after treatment, orlistat - treated patients showed significant decreases in serum levels of total cholesterol, low density lipoprotein - cholesterol and high density lipoprotein - cholesterol ( P < 0.01), but in placebo group we found no change. Both systolic blood pressure and diastolic blood pressure fell significantly in orlistat - treated group. Fasting glucose and HOMA - IR in orlistat - treated group was distinctly reduced if compared with placebo group. Conclusions Weight loss resulting from orlistat treatment and slightly hypocaloric diet has produced favorable effects on several cardiovascular risk factors in obese Chinese subjects.

Passive Smoking and Other Principal Risk Factors Associated with Low Birth Weight

Background: Neonatal morbidity and mortality is one of the most public health problems in the world. A lot of neonatal deaths occur in foetus with low birth weight (LBW). Several risk factors of LBW have been described in the literature such as maternal age, chronic and gestational hypertension infection and anémia. Smoking is one of the most important preventable risk factor of LBW in developed and developing countries. Aims: In this study, we evaluated the incidence and the impact of passive smoking and some other principle risk factors of LBW. Material & Methods: This case control study was conducted in the department of obstetrics and gynecology of Marrakesh university hospital in Morocco. During a period of 3 years, all LBW babies were included in the study. Data analysis was performed by SPSS software. The association between LBW and each variable was studied by the chi square test comparing cases and controls groups. Logistic regression analysis was performed after including all variables found to have significant differences on univariate analysis. Results: 288 cases of LBW have been identified representing 2.19% of all births. The study of the categories showed that 84.3% of babies were moderate LBW (1500 - 2500 g), including 49 babies from twin pregnancies. 15.7% were very LBW (<1500 g). Several risk factors have been identified in LBW. Passive smoking was significantly associated with LBW [(OR 1.77;CI: 1.22 - 2.25)]. Conclusion: A number of risk factors are related to low birth weight, which is one of the main predictors of infant mortality. This study shows that passive smoking is one of those risk factors and it is a preventable one.

Risk Assessment Using Two Different Diagnostic Tools: Metabolic Syndrome and Cardiovascular Risk Score (SCORE)—Data from a Weight Reduction Intervention Study

Objective: Risk score models and the diagnosis of a metabolic syndrome are useful for cardiovascular (CV) risk prediction. The identification of individuals with high CV and metabolic risk is essential to provide appropriate prevention and therapy. The present study aims at clarifying whether these indicators are altered by a weight reduction programme. Additionally, which diagnostic tool has a better predictive value is examined. Method: One hundred and twenty overweight and obese subjects aged 30 60 years were included in a 12-week weight reduction programme. The CV risk was assessed by means of German multiple-used risk charts (SCORE) at baseline and at the end of the trial. Furthermore, the prevalence of the metabolic syndrome (three out of five risk factors) was quantified. Results: The initial prevalence of the metabolic syndrome was 63.3% (n = 76) and decreased to 41.7% (n = 50) by the end of the intervention. The SCORE also decreased significantly after twelve weeks (p 5%) was comparatively low (t0: 7.4%, n = 7;t12: 5.3%, n = 5). Conclusion: The weight reduction concept was applicable to improve the CV risk SCORE and decrease the prevalence of the metabolic syndrome. The CV 10-year risk calculated using German risk charts (SCORE) probably underestimated the risk of CV diseases in this collective. In this case, the diagnosis of a metabolic syndrome is more meaningful than risk SCORE calculations.

Factors of Low Birth Weight Risk in the Department of Gynecology-Obstetrics of the Ignace Deen National University Teaching Hospital in Conakry, Guinea

Introduction: The underweight at birth is recognized as a major cause of morbidity and mortality in childhood. Objective: To identify maternal and obstetric sociodemographic factors associated with low birth weight. Patients and Methods: This is a retrospective study of analytical type that examined the records of women who gave birth in the Obstetrics and Gynecology department of Ignace Deen National University Teaching Hospital from 1st December 2016 to 30th April 2017. The analysis was made with the R version 3.3.1 software. We did a univariate and multivariate analysis. Outcomes: Out of the 1633 live births of single pregnancies that occurred during the study period, 109 children were born with a low weight (<2500 g) corresponding to a rate of 6.7%. In univariate analysis, we found a significant association between low birth weight and maternal single status (p = 0.019), maternal weight less than 60 kg (p = 0.038), primary parity (p = 0.018), maternal history of abortion (p = 0.001), history of preterm birth (p < 0.001), arterial hypertension (p < 0.001), anemia (p < 0.001) and malaria (p < 0.001). In multivariate analysis, the variables associated with low birth weight were: history of preterm delivery with OR of 8.5 [1.8 - 40.1], history of abortion (OR = 4.4 [1.4 - 13.9]), malaria (OR = 23.8 [6.1 - 92.5]), anemia (OR = 11.8 [3.7 - 38.2]) and high blood pressure (OR = 5.4 [1.6 - 17.9]). Conclusion: The decrease in frequency of low birth weight in Guinea will be done by improving the quality of prenatal care with an emphasis on screening, prevention and treatment of malaria, anemia and high blood pressure during pregnancy, prevention of abortion and premature birth.

城市洪涝风险的多方法组合评估与应用

近年来,受全球气候变化与城镇化快速发展的双重影响,城市极端降水事件频发,由此引发的城市洪涝灾害常造成灾难性的生命和财产损失,给城市公共安全带来了严重威胁。由于不同评估方法中指标赋权不同,评价结果往往存在较大差异,给风险评估与区划工作带来了诸多困难。因此,通过融合不同方法的权重构建一套复合权重,进而解决不同评估方法中结论非一致性的问题,这对于提升风险评估的准确性是至关重要的。该文以湖北省为例,旨从危险性、暴露性、脆弱性和恢复性四个层面构建城市洪涝风险评估体系。首先,分别采用熵权法和层次分析法计算指标权重;之后,通过Kendall检验判断两套权重序列的一致性并给出相应的复合权重计算结果;最后以湖北省下辖8个城市的历史洪涝事件为例,对上述风险评价结果进行了验证。结果显示,与熵权法和层次分析法相比,基于复合权重的组合评价方法具有更高的准确率。

Minimum MSE Weights of Adjusted Summary Estimator of Risk Difference in Multi-Center Studies

The simple adjusted estimator of risk difference in each center is easy constructed by adding a value c on the number of successes and on the number of failures in each arm of the proportion estimator. Assessing a treatment effect in multi-center studies, we propose minimum MSE (mean square error) weights of an adjusted summary estimate of risk difference under the assumption of a constant of common risk difference over all centers. To evaluate the performance of the proposed weights, we compare not only in terms of estimation based on bias, variance, and MSE with two other conventional weights, such as the Cochran-Mantel-Haenszel weights and the inverse variance (weighted least square) weights, but also we compare the potential tests based on the type I error probability and the power of test in a variety of situations. The results illustrate that the proposed weights in terms of point estimation and hypothesis testing perform well and should be recommended to use as an alternative choice. Finally, two applications are illustrated for the practical use.

Epidemioclinical Profile and Immediate Outcome of Low Birth Weight at the Reference Health Center in Commune VI of the District of Bamako, Mali

Introduction: Low birth weight is responsible for 9.1 million child deaths each year worldwide. It is the leading cause of perinatal and infant mortality. The objective of this work was to determine the epidemio-clinical profile as well as the future of low birth weight at the Reference Health Center of commune VI in the district of Bamako, Mali. Methods: Our study was descriptive and prospective over a year from April 1, 2018 to March 31, 2019. Data were taken from hospital records and newborn referral/evacuation forms. Data processing was performed using Epi Info software version 3.5.4 and Word. Results: The frequency of low birth weight was 34.94%. Multiparity accounted for 47.84%, sex ratio was 0.93, maternal arterial hypertension was present in 41.66%, genitourinary infection was in 58.37% and delivery was by low way in 86.12%. The majority of newborns had a gestational age between 28SA-33SA (56.52%) and a weight between 1501-1999 grams (47.36%). Mortality accounted for 18.66%. Conclusion: Low birth weight is common in our settings with modifiable risk factors. Practitioners must play on them to minimize its importance.

Retrospective self-reported weight changes during childhood and adolescence are not good predictors of metabolic syndrome risk factors in Mexican young adults

The purpose of the study was to examine whether retrospective self-reported weight changes during childhood and adolescence were associated with metabolic syndrome (MetS) risk factors in Mexican young adults. Mexican college applicants to the Universidad Autónoma de San Luis Potosí, Mexico, 18 to 25 years old (n = 4187) who had applied for the 2009 academic year were included in the study. Participants underwent a health screening—anthropometrics and blood drawn—and completed a questionnaire. Five major weight change categories were defined based on self-reported weight during childhood and adolescence: consistently normal, consistently underweight, consistently overweight/ obese, weight gain, and weight loss. Most participants self-reported being normal weight during childhood (58.7%) and adolescence (58.3%). Only a small proportion reported being overweight or obese during childhood (10.1%) or adolescence (15.9%). Weight change patterns during childhood and adolescence were marked by overall stability: 40.1% of participants were consistently normal, 15.6% underweight and 3.6% overweight/obese. Among those whose weight changed, 25.0% gained weight and 15.7% lost weight. In regression analyses, weight change categories based on self-reported weight statuses during childhood and adolescence were not associated with current metabolic syndrome risk factors after controlling for measured current BMI. Studies addressing the association between weight gains in early life with metabolic syndrome outcomes in early adulthood should not rely on recalled weight status during early life alone.

基于熵权法的我国区域性金融风险测度与评价

坚决守住不发生系统性金融风险的底线是当前我国经济工作的重要任务,因此科学、准确地测度区域性金融风险显得尤为重要。针对目前区域性金融风险测度所存在的环境适应性低、指标构建随意和合成处理欠科学等问题,构建基于熵权法的区域性金融风险测度模型,实证测度2012—2020年我国31个省份的区域性金融风险,以此为依据,对我国区域性金融风险进行分析和评价,研究表明,基于熵权法测度区域性金融风险具有可行性和科学性,测度结果具有客观性和准确性;我国区域性金融风险整体呈上升趋势,其中,东、中、西、东北地区区域性金融风险呈逐次递减态势,且西部和东北部地区区域性金融风险的省际差异较大。对此文章提出防控区域性金融风险的主要策略:一是将东、中部地区作为我国区域性金融风险防控的重点区域;二是对于西部和东北地区,应重点关注陕西、吉林等区域性金融风险较高的省份。

郑州市西部山地丘陵区地质灾害发育特征及危险性评价

郑州市西部山地丘陵区地质环境条件复杂,崩塌、滑坡及泥石流等地质灾害频发,尤其是2021年“7·20”特大暴雨引发了大量地质灾害。地质灾害危险性评价主要采用单一方法进行,存在评价准确性略低等问题。通过对研究区地质环境背景、地质灾害分布特征的分析研究,选取坡度、地貌、工程地质岩组、高程、距断裂距离、距河流距离、24小时最大降雨量和人类工程活动强度8个评价因子,采用加权信息量法,对研究区进行地质灾害危险性评价。结果表明:低、中、高危险区面积分别为1387.14 km^(2)、1803.18 km^(2)、1066.47 km^(2),分别占总面积的32.59%、42.36%、25.05%,地质灾害点的空间分布与地质灾害危险性评价结果基本一致,利用受试者工作特征(ROC)曲线检验评价结果合理,研究结论可为郑州市西部山地丘陵区地质灾害防治提供准确的依据。

未确知测度理论在盾构下穿既有隧道安全风险评价中的应用

盾构下穿既有隧道工程施工通常存在较大风险,为了对风险等级做出准确有效的评价,提出了基于未确知测度理论的盾构下穿既有隧道安全风险评价模型。首先,通过对相关规范和现有文献的研究,并结合盾构下穿隧道施工的特点,构建了盾构下穿既有隧道安全风险评价指标体系,包括盾构掘进参数、新建隧道条件、既有隧道条件、地质条件和施工管理条件5个一级指标,以及掘进速度、掘进推力、注浆压力等19个二级指标;其次,将综合安全风险划分为5个等级,并明确了各指标的等级划分标准;然后基于熵权-未确知测度理论构建盾构下穿既有隧道安全风险评价模型,采用熵权法确定指标权重,根据未确知测度理论构建各指标的单指标未确知测度函数,将各指标数据值代入单指标未确知测度函数中得到单指标测度评价矩阵,结合指标权重和单指标测度评价矩阵计算得到多指标测度评价向量,依照置信度准则确定安全风险等级;最后,将提出的模型应用于实际盾构下穿既有隧道工程中,对其进行安全风险等级评价。结果表明,模型评价结果与实际风险等级一致,并通过与模糊层析分析法对比验证了所提模型应用于工程实践的有效性,研究结果可为实际施工安全管理提供决策支持。

Minimum MSE Weighted Estimator to Make Inferences for a Common Risk Ratio across Sparse Meta-Analysis Data

The paper aims to discuss three interesting issues of statistical inferences for a common risk ratio (RR) in sparse meta-analysis data. Firstly, the conventional log-risk ratio estimator encounters a number of problems when the number of events in the experimental or control group is zero in sparse data of a 2 × 2 table. The adjusted log-risk ratio estimator with the continuity correction points based upon the minimum Bayes risk with respect to the uniform prior density over (0, 1) and the Euclidean loss function is proposed. Secondly, the interest is to find the optimal weights of the pooled estimate that minimize the mean square error (MSE) of subject to the constraint on where , , . Finally, the performance of this minimum MSE weighted estimator adjusted with various values of points is investigated to compare with other popular estimators, such as the Mantel-Haenszel (MH) estimator and the weighted least squares (WLS) estimator (also equivalently known as the inverse-variance weighted estimator) in senses of point estimation and hypothesis testing via simulation studies. The results of estimation illustrate that regardless of the true values of RR, the MH estimator achieves the best performance with the smallest MSE when the study size is rather large and the sample sizes within each study are small. The MSE of WLS estimator and the proposed-weight estimator adjusted by , or , or are close together and they are the best when the sample sizes are moderate to large (and) while the study size is rather small.

经济政策不确定性对我国银行风险传染的影响研究

为研究经济政策不确定性对我国银行风险传染的影响,本文首先根据银行间溢出效应,采用基于LASSO-VAR的广义溢出方差分解模型构建银行风险传染网络,识别银行风险传染网络中的系统重要性银行。其次结合BK溢出指数,从频域的视角探讨经济政策不确定性对我国银行风险传染的影响。最后使用固定效应模型,探究不同经济政策不确定性对我国银行风险传染的影响。研究发现,在受到经济政策不确定性冲击时大型商业银行的节点重要性有所上升,高频时的网络结构更加紧密。对不同经济政策不确定性来说,贸易政策、货币政策不确定性会提高银行风险。研究结果为我国银行业化解经济政策不确定性带来的负面影响具有一定的借鉴意义。

基于集对-组合赋权的填埋场失稳风险评价方法

我国填埋场具有高水位、高气压的特征,现有规范和研究中虽提出了不同的稳定性评价指标和分级标准,但对指标权重和综合风险评估缺乏系统性研究。为此,建立了涵盖填埋场几何构型、垃圾土抗剪强度、液气赋存情况和降雨4类7个指标的填埋场失稳风险评价指标体系,通过参数敏感性分析实现5级分类(稳定、较稳定、基本稳定、不稳定、极不稳定),并采用集对分析构建指标联系度函数。采用指标重要性排序法,通过参数敏感性分析、工程失稳事故、文献关注度统计和博弈论组合赋权,确定了评价指标的综合权重。最后,将指标综合权重与指标联系度函数耦合,建立了填埋场失稳风险综合评价模型,并应用于一实际填埋场工程中,与现场实际监测数据结果一致,验证了评价模型的准确性和有效性。