Influencing factors and preventive measures of infectious complications after intestinal resection for Crohn’s disease

The incidence of Crohn’s disease(CD)has increased in recent years,with most patients requiring intestinal resection.Complications after intestinal resection for CD can lead to poor prognosis and recurrence,among which infectious complic-ations are the most common.This study aimed to investigate the common risk factors,including medications,preoperative nutritional status,surgery-related factors,microorganisms,lesion location and type,and so forth,causing infectious complications after intestinal resection for CD,and to propose corresponding preventive measures.The findings provided guidance for identifying suscept-ibility factors and the early intervention and prevention of infectious complic-ations after intestinal resection for CD in clinical practice.

Assessing the current situation and the influencing factors affecting perceived stigma among older patients after leukemia diagnosis

BACKGROUND Psychological problems are becoming increasingly prominent among older patients with leukemia,with patients potentially facing stigmatization after diagnosis.However,there is limited research on the stigma experienced by these patients and the factors that may contribute to it.AIM To investigate the stigma faced by older patients after being diagnosed with leukemia and to analyze the potential influencing factors.METHODS A retrospective analysis was conducted using clinical data obtained from questionnaire surveys,interviews,and the medical records of older patients with leukemia admitted to the Hengyang Medical School from June 2020 to June 2023.The data obtained included participants’basic demographic information,medical history,leukemia type,family history of leukemia,average monthly family income,pension,and tendency to conceal illness.The Chinese versions of the Social Impact Scale(SIS),Perceived Social Support Scale(PSSS),Self-Rating Anxiety Scale(SAS),and Self-Rating Depression Scale(SDS)were used to assess indicators related to stigma,social support,and mental health status.We used Pearson’s correlation coefficient to analyze the strength and direction of the relationship between the scores of each scale,and regression analysis to explore the factors related to the stigma of older patients with leukemia after diagnosis.RESULTS Data from 120 patients with leukemia aged 65-80 years were analyzed.The total score on the SIS and PSSS was 43.60±4.07 and 37.06±2.87,respectively.The SAS score was 58.35±8.32 and the SDS score was 60.58±5.97.The stigma experienced by older leukemia patients was negatively correlated with social support(r=-0.691,P<0.05)and positively correlated with anxiety and depression(r=0.506,0.382,P<0.05).Age,education level,smoking status,average monthly family income,pension,and tendency to conceal illness were significantly associated with the participants’level of stigma(P<0.05).Age,smoking status,social support,anxiety,and depression were predictive factors of stigmatization among older leukemia patients after diagnosis(all P<0.05),with a coefficient of determination(R2)of 0.644 and an adjusted R2 of 0.607.CONCLUSION Older patients commonly experience stigmatization after being diagnosed with leukemia.Factors such as age,smoking status,social support,and psychological well-being may influence older patients’reported experience of stigma.

Research Progress on Self-Efficacy Level of Patients with Type 2 Diabetes Mellitus and Its Influencing Factors

Self-efficacy plays an important role in the management of type 2 diabetes mellitus (T2DM) patients, and it runs through the whole process of diabetes treatment, which is conducive to controlling and delaying the occurrence and development of complications, as well as improving the quality of life of patients. This paper mainly describes the concept of self-efficacy, the current situation of self-efficacy of diabetic patients at home and abroad, the functional aspects and their influencing factors, so as to take relevant measures on how to improve self-efficacy. It aims to provide a theoretical basis for the development of self-efficacy interventions for patients with type 2 diabetes mellitus.

Analysis of the Degree of Psychological Distress of Elderly Patients with Recurrent Trigeminal Neuralgia and Its Influencing Factors

Objective:To analyze the degree of psychological distress among elderly patients with recurrent trigeminal neuralgia and its influencing factors.Methods:A single-center cross-sectional study was conducted on 126 elderly patients with recurrent trigeminal neuralgia who visited the Pain Department of our hospital from March 2022 to April 2024.Logistic regression analysis was employed to evaluate the factors influencing psychological distress,based on general patient data,the Distress Thermometer(DT),the Perceived Social Support from Family Scale(PSS-Fa),and the Pitsburgh Sleep Quality Index(PSQI).Results:Among the 126 elderly patients with recurrent trigeminal neuralgia,those with a DT score≥4(72 patients,57.14%)were more prevalent than those with a DT score<4(54 patients,42.86%).The average DT score for all patients was 4.35±1.72.Patients in the DT score≥4 group were older than those in the DT score<4 group(t=4.207,P=0.000),had lower PSS-Fa scores(t=5.925,P=0.000),and had higher PSQI scores(t=17.858,P=0.000).There were no statistically significant differences in gender,marital status,residence area,education level,disease type,or pain location(all P>0.05).Older age and poor sleep quality were identified as independent risk factors for psychological distress in elderly patients with recurrent trigeminal neuralgia(OR=1.258,OR=1.713,both P<0.05),while higher levels of family support were identified as a protective factor(OR=0.581,P=0.025).Conclusion:Elderly patients with recurrent trigeminal neuralgia experience psychological distress,and the degree of severity depends on age,quality of sleep,and level of family support.

Dynamic analysis of agricultural green development efficiency in China: Spatiotemporal evolution and influencing factors

Green development of agriculture is important for achieving coordinated and high-quality regional development for China. Using provincial data from 1990 to 2020, this work explored the dynamics of agricultural green development efficiency of 31 provinces in China, its spatiotemporal characteristics, and its driving factors using a super-efficiency slacks-based measure(Super-SBM), the Malmquist productivity index(MPI), spatial autocorrelation, and a geographic detector. Results showed that the overall agricultural green development efficiency showed a U-shaped trend, suggesting a low level of efficiency. Although a gradient difference was visible among eastern, central, and western regions, the efficiency gap narrowed each year. Technological progress and efficiency both promoted agricultural green development efficiency, especially technological progress. Agricultural green development efficiency had significant spatial aggregation characteristics, but Moran’s Ⅰ result showed a downward trend from 2015 to 2020, indicating a risk of spatial dispersion in the later stage. The provinces with high agricultural green development efficiency were mainly concentrated in the eastern region, while those with low efficiency were concentrated in the central and western regions. Agricultural green development efficiency was influenced by various factors, which showed differences according to time and region. The impact of the labor force’s education level and technological progress increased during the study period, and significantly facilitated agricultural green development efficiency in the eastern region, while the central and western regions were still affected by the scale level and environmental regulation, reflecting the advantages of the eastern region in terms of economy and technology. In the future, strengthening agricultural scientific and technological innovation and deepening interprovincial cooperation can help further improve the level of green agricultural development. In addition, local governments should formulate more precise local agricultural support policies based on macro-level policies and local conditions.

Analysis on the Influencing Factors and Control Measures of "Non-Grain Conversion" of Cultivated Land in Agricultural Land Transfer

Through the method of literature analysis,this paper analyzes the present situation of the"non-grain conversion"of cultivated land in the transfer of agricultural land in China,summarizes the influencing factors and consequences of the phenomenon of"non-grain conversion"of cultivated land in the transfer of agricultural land,and finally puts forward some measures.The study found that costs and benefits are the fundamental factors affecting the"non-grain conversion"of cultivated land in agricultural land transfer,and other main factors include government and policy guidance,industrial and commercial capital to the countryside,labor transfer and so on.The"non-grain conversion"of cultivated land in the transfer of agricultural land is a serious threat to China s food security,leading to the decline of the quality of agricultural land and the destruction of the ecological environment,as well as the risk of breach of contract in"industrial and commercial capital to the countryside".Based on the understanding of the influencing factors of non-grain conversion,this paper puts forward the following measures:strengthening the control of the use of cultivated land in agricultural land transfer;implementing accurate subsidies for grain cultivation and ensuring the benefit of grain growers;adopting grain planting incentive mechanism to increase grain enthusiasm;strengthening media publicity and education to enhance food security awareness.The improvement of the current situation of the"non-grain conversion"of cultivated land in the transfer of agricultural land will be of great significance to the protection of agricultural land and food security in China.

Analysis of Influencing Factors of Pine Wood Nematode Disease in Lu an City Based on GIS

[Objectives]The paper was to figure out the distribution of Monochamus alternatus in the stumps of pine wood nematode infected wood in Lu'an City and to provide a theoretical and practical basis for differentiated prevention and control of pine wood nematode disease in the future.[Methods]The factors influencing the number of epidemic small classes and infected plants in all counties and districts of Lu'an City were analyzed by GIS method,and the number of worms and wormholes of M.alternatus inside and outside the stumps of pine wood nematode infected wood in Lu'an City were investigated on the spot.[Results]There were 98,40,54,781,193,268 and 34 epidemic small classes of pine wood nematode disease,and 7241,6099,9532,39161,11079,49876 and 4853 infected plants in Yu'an District,Jin'an District,Yeji District,Shucheng County,Huoshan County,Jinzhai County and Huoqiu County,respectively.Pine wood nematode disease in Lu'an City mostly occurred in Huoshan County,Shucheng County and Jinzhai County,with relatively high altitude,paddy soil,the annual precipitation higher than 2062 mm,and the annual average temperature lower than 16.2℃.The number of diseased plants of pine wood nematode disease was positively correlated with altitude and annual precipitation,and was negatively correlated with annual average temperature.The number of worms and wormholes in pine wood nematode infected wood was very small at different altitudes,stump heights and stump diameters.[Conclusions]The pine wood nematode infected wood can be differentially processed after stump treatment,and stumps can be peeled.The results will provide a theoretical and practical basis for differentiated prevention and control of pine wood nematode disease in the future.

Classification and influencing factors of rural elderly's vulnerability to health-related poverty in central and western regions of China

Objective:To calculate the health poverty vulnerability index of elderly households in rural areas of central and western China,and then to classify these samples,lastly to decompose their influencing factors.Methods:First,based on survey data in 2018,the three-stage feasible generalized least squares was used to calculate the health poverty vulnerability index of elderly households,and then combined with whether the household income was below the poverty line and whether the family was healthy poverty vulnerability,the sample households were divided into four categories,and then used multiple unordered logistic regression to analyze various types of influencing factors,and finally used the Shapley index to decompose the contribution of each influencing factor.Results:The average vulnerability of health poverty was 0.5979±0.25199,with 1169 households greater than or equal to 0.5,accounting for 63.26%;the number of households stuck in poverty,temporary poverty,potential poverty,and escaped from poverty were 489,300,680,and 379 households,accounting for 26.46%,16.23%,36.80%,and 20.51%of the total sample;compared with escaped from poverty families,the three variables of marital status,the number of chronically ill patients,and the number of annual hospitalizations were the com­mon influencing factors of other three types families;The Shapley decomposition showed that the interviewees’education level and family members engaged in non-agricultural work have contributed significantly to the three types,however two indicators:time required to visit a medical institution and self-assessment of health status of the main interviewees showed great differences in different types of families.Conclusion:Rural elderly households have a high level of vulnerability to health poverty;potential poverty house­holds and persistent poverty households account for a large proportion,and continuous intervention should be carried out;it is necessary to unify the implementation of basic poverty alleviation work,but also to enhance refined management capabilities and adopt differentiated intervention measures.

Influencing factors and growth state classification of a natural Metasequoia population

By analyzing the importance of influencing factors and conducting a comparative study of the effects of different sorting algorithms, a new method is proposed that is suitable for classifying the growth state of a natural Metasequoia glyptostroboides Hu and W.C. Cheng population. We studied 2817 M. glyptostroboides trees over 100 years old and analyzed their growth state by measuring 15 factors from stumpage, site condition, and environmental data. The dimensionality of all factors were reduced using the random forest algorithm, and we classified the remaining factors using the following algorithms: random forest, back-propagation(BP) neural networks, and support vector machine(SVM). The applicability of each sorting algorithm was analyzed. When all the d factors are used for classification and modeling, the model's overall accuracy,kappa coefficient and test accuracy were 85.5%, 0.739 and 85.8%, respectively. By reducing the dimensionality of the factors using the random forest algorithm, 11 factors most strongly influenced the classifications of the growth state of the Metasequoia population: diameter at breast height,height, crown width, age from stumpage data; longitude,latitude, elevation, slope aspect, gradient and slope position from the site condition data; and the edge of the field from the environmental data. For classifying the Metasequoia population, the random forest algorithm has the highest overall accuracy at 87.2%, which is 3.4 and 2.3% higher than the BP neural networks and SVM algorithms,respectively. The SVM algorithm is superior to the random forest algorithm with respect to classifying the state of mortality. The combination of the random forest and SVM algorithms and their combined information can be used to classify and predict the growth state of this natural M.glyptostroboides population to provide a scientific basis for its effective protection.

Quantitative analysis on influencing factors for interface propagation-based thermal conductivity measurement method during solid-liquid transition

The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, in previous investigation, the analysis on the measurement error was qualitative and only focused on the total effects on the measurement without decoupling the influencing factors. This paper discusses the effects of influencing factors on the measurement results for the interface propagation-based method. Numerical simulations were performed to explore the influencing factors, namely model simplification, subcooling and natural convection, along with their impact on the measurement process and corresponding measurement results. The numerical solutions were provided in terms of moving curves of the solid-liquid interface and the predicted values of thermal conductivity. Results indicated that the impact of simplified model was strongly dependent on Stefan number of the melting process. The degree of subcooling would lead to underestimated values for thermal conductivity prediction. The natural convection would intensify the heat transfer rate in the liquid region, thereby overestimating the obtained results of thermal conductivity. Correlations and experimental guidelines are provided. The relative errors are limited in ±1.5%,±3%and ±2% corresponding to the impact of simplified model, subcooling and natural convection, respectively.

The Mechanism and Influencing Factors of Corrosion in a Gas Heating-Furnace

Natural gas should be heated and throttled for the purpose of purification and transportation at the first gas production factory of the Changqing field. The safe use and heat-transfer efficiency of a heating-furnace affect the safe and smooth production of natural gas directly. At gas collecting stations now, no measures of anticorrosion have been adopted in heating furnaces which erode and scale badly. In order to solve the corrosive problem of heating-furnaces, prolong operating life of heating-furnaces, assure safe and smooth production of natural gas, the mechanism and influencing factors of corrosion of the heating-furnace were analyzed and some corresponding measures were brought forward based on a field investigation of usage behavior and present operational status of heating-furnaces at the first gas production factory. The results show that the corrosive ion and soluble CO2 and O2 in water erode metal badly at the condition of being heated. Corrosion of a heating-furnace are mostly oxygen corrosion, corrosive ion corrosion, acid corrosion, iron encrustation corrosion, dry and wet interface corrosion, caustic corrosion, etc; The influencing factors of corrosion mainly include soluble O2 and CO2 in water, pH value, heat loading, corrosive ion, soluble solid （salinity） and non-flowing character of water, etc.

Factors Influencing the Use of Outcome Measures for Patients with Low Back Pain: A Survey of Nigerian Physiotherapists

Background: Low back pain is one of the important patients’ presenting complain that requires expert management from the physiotherapists. Yet no work was available for reference on the use of outcome measures for its evaluation by Nigeria physiotherapists. Objective: This study, therefore, investigated the outcome measures used by Nigerian physiotherapists to evaluate patients with Low Back Pain and the factors that influenced their use. Methods: A survey questionnaire was posted to 306 randomly selected mem- bers of the Nigeria Society of Physiotherapy (NSP). Data were analyzed using frequency, percentages, mean, ANOVA, and Pearson’s Chi-square. P-value was placed at 0.05. Results: 52.9% of the respondents (221) used a pain visual analog scale. Only 36.1% used LBP-specific clinical outcome measures. The factors that influenced their use were belief, attitude, knowledge, and choice. There was no significant difference between the majority of the factors and the use of clinical outcome measures. The P-values were 0.960, 0.648, 0.760 for belief, attitude and knowledge respectively. The only factor that had a significant difference (P = 0.029) with the use of clinical outcome measures was choice. Gender and postgraduate qualification had no significant influ- ence on the use of clinical outcome measures at the P-value of 0.117 and 0.510 respectively. Conclusion: Pain visual analog scale is the outcome measure frequently used by Nigeria Physiotherapists to evaluate patients with Low Back Pain. Belief, attitude, knowledge, and choice are the factors that influ- enced the use. There is a need to incorporate the use of LBP-specific outcome measures by Nigerian physiotherapists while treating patients with LBP.

Green economic efficiency in the Yangtze River Delta:spatiotemporal evolution and influencing factors

Based on economic-social-resource-environment perspective,which people’s welfare was considered compared with the traditional perspective,using SSU and PP model,spatial analysis method,spatial econometric model to study green economy efficiency(GRE)of 26 Cities in the Yangtze River Delta from 2005 to 2015.The results show the following:Corrected GRE is markedly lower than conventional efficiency;Stage characteristics are obvious of GRE.An overall spatial pattern has emerged of lower efficiency in the east and higher efficiency in the west,and exist clear signs of spatial agglomeration.The spatial Dubin model has abetter fitting effect.The biggest direct effect on local green economic efficiency and spatial spillover effects on nearby areas is proportion of tertiary industry.

Analysis of the mechanical property of mudstone/shale in paralic coal measures and its influence factors

The mechanical property of mudstone/shale in coal measures is a key factor of engineering mechanics that influences the development of shale gas. A rock mechanics test was performed in order to analyze the complete stress-strain mechanic characteristics and influence factors of mudstone/shale in paralic coal measures, from the Carboniferous-Permian periods in a coal field of Northern China. The relationship between the mechanical properties of mudstone/shale in coal measures, and its chemical component, water content are established, and their models are constructed. Research results show that mud- stone/shale has low mechanical strength, low elastic modulus and a high Poisson＇s ratio. The complete stress-strain curve has apparent elastoplastic deformation characteristics, and after reaching peak strength, it exhibits obvious strain softening characteristics. The uniaxial compressive strength of mudstone/shale and its elastic modulus increases exponentially with the increase of SiO2 content, and as the ignition loss increases, the uniaxial compressive strength and elastic modulus of mudstone/shale will decrease according to the law of power function. The compressive strength of mudstone/shale and its elastic modulus will decrease with the increase of water content in mudstone/shale.

Analysis of Factors Affecting Logging Quality of Dual Lateral Instruments and Measures

In order to effectively improve the application value of equipment,the quality of dual-sided instrument logging is more important,but it has several influencing factors.This paper analyzes the working principle of dual lateral instrument logging,and discusses the factors affecting the logging quality of dual-sided instruments and optimization measures,for reference only.

Analyzing the Factors and Corresponding Measures for English Majors' Writing

As we know,English writing is an important part of communicative competence.But for many English majors,it is hard to express their thoughts clearly.In order to find out the main problems and corresponding measures,the author analyzes many compositions written by English majors.With some academic opinions and the author’s own analysis,some problems existing in students’writing are listed.According to the problems,the author summarizes some influencing factors.Finally,the author gives some relevant solutions.Through analyzing those samples,the author hopes it has some help for English majors’writing.

加油站油气回收对损耗管理的影响因素探讨Discussion on the Factors Influencing Loss Man-agement in Oil Vapor Recovery in Gas Station

从加油站一次回收、二次回收的工作原理入手,分析了油气回收中影响油品损耗管理的主要因素,提出了提高油气回收效率和降低油品损耗的措施:采取封闭式卸油、安装液位仪、推行地罐交接,做到油气回收系统的整体密闭性,综合考虑合理设置气液比和负压对加油机示值误差的影响,加强检查保证O型密封圈的有效性。

糖尿病患者自我厌恶现状及影响因素分析

目的了解糖尿病患者自我厌恶现状及其影响因素,为医护人员采取针对性干预改善糖尿病患者心理健康提供参考。方法采用一般情况调查表、自我厌恶量表、医学应对问卷和领悟社会支持量表对274例2型糖尿病患者进行调查。结果糖尿病患者自我厌恶得分(35.46±6.39)分,年龄、糖尿病相关并发症、回避应对、领悟社会支持总分是自我厌恶的主要影响因素(均P<0.05),可预测总变异的49.6%。结论糖尿病患者自我厌恶为中等偏高水平,护理人员应加强对糖尿病患者自我厌恶水平的评估和筛查,加强对年轻、有糖尿病相关并发症的患者的干预,帮助患者减少其回避行为,并增强其领悟社会支持水平,从而降低其自我厌恶水平。

老龄化视域下西北农村互助养老需求及影响因素实证分析

目的:了解西北农村地区老年人互助养老需求及其影响因素,为农村互助养老长效发展提供策略和方案。方法:采用自制问卷对西北五省农村60岁以上老年人进行抽样调查。共发放问卷2800份,回收有效问卷2454份,有效回收率87.6%。提出研究假设,建立模型,采用分步Logistic回归分析数据。结果:年龄、身体机能、婚姻状况、居住方式、收入、社会网络关系、互助设施适老程度均对老年人互助养老产生显著影响。结论:老年人对养老服务需求是一种刚性需求,且多样化、个性化、复杂化。由此建议发展农村互助养老应精准、动态评估老人内生需求,建立需求评估机制;以村庄为本位,补齐农村养老短板,建立因地制宜、因人制宜的农村互助养老网络,完善农村互助养体系,提倡一村一策略,一人一方案养老模式,为西北农村互助养老可持续发展提供可行路径。

维持性血液透析患者心理脆弱现状及影响因素分析

目的:探讨维持性血液透析患者心理脆弱现状及影响因素。方法:采用便利抽样方法选取2023年3—7月桂林医学院附属医院血液净化中心收治的380例维持性血液透析患者。收集所有患者一般资料,评价所有患者心理脆弱情况、社会支持情况。比较不同一般资料患者心理脆弱量表(mental vulnerability questionnaire,MVQ)评分,统计所有患者MVQ评分及领悟社会支持量表(perceived social support scale,PSSS)评分情况。分析维持性血液透析患者MVQ评分及PSSS评分相关性。分析维持性血液透析患者心理脆弱的影响因素。结果:不同文化程度、婚姻状况、居住情况、家庭人均月收入、透析时长、有无并发症患者MVQ评分比较,差异有统计学意义(P<0.05)。维持性血液透析患者心理脆弱呈中等水平,其各维度条目均分由高到低为人际问题、身心症状、精神症状;领悟社会支持呈中等水平。心理脆弱总分、身心症状、精神症状、人际问题评分与社会支持总分、家庭支持、朋友支持、其他支持评分均呈负相关(P<0.05)。居住情况、有无并发症、社会支持是维持性血液透析患者心理脆弱的主要影响因素(P<0.05)。结论:维持性血液透析患者心理脆弱呈中等水平,其中独居、伴有并发症、社会支持是维持性血液透析患者心理脆弱的主要影响因素,应积极制订有效性、针对性的干预措施帮助其降低心理脆弱程度,提高心理健康水平,从而提高生活质量。