Study on the Spatiotemporal Pattern Evolution and Influencing Factors of Population Aging in Henan Province

This study utilized census data from Henan Province for the years 2000,2010,and 2020 to investigate the spatiotemporal evolution of population aging,defined by the proportion of the population aged 65 and above.Employing spatial analysis techniques such as spatial autocorrelation and the standard deviation ellipse,the research mapped out the progression and distribution of aging demographics.Furthermore,the study delved into the influencing factors of aging using an optimal parameters-based geographical detector.Results indicate a deepening degree of population aging in Henan Province,transitioning from an adult type to an old type structure.There is a marked positive spatial correlation among counties,with high-value aging areas initially decreasing,then increasing,and notably spreading from the central to the central and southern regions of the province.The center of gravity for population aging,specifically around Changge City and Xuchang City,exhibits a trajectory moving southeast before shifting northwest.Factor detection reveals that in 2000,2010,and 2020,the elderly dependency ratio predominantly influences the aging trend,with explanatory powers of 88.4%,87.9%,and 90.9%,respectively.Interaction analysis indicates that the interaction between the old-child ratio and the elderly dependency ratio has a strong explanatory power for the aging patterns in Henan Province,reaching 97.3%,97.0%,and 97.4%,respectively.

Survey on the Demand for Elderly Care Services of Community Residents in Beijing and Analysis of Influencing Factors

Objective: To investigate the current situation of the demand for geriatric care services of community residents in Beijing and analyze the influencing factors to provide a reference basis for meeting the demand for diversified and professional geriatric care services. Methods: A self-made questionnaire was used to randomly survey 1558 elderly individuals at community health service centers in 8 urban districts where elderly care centers were planned to be built. The influencing factors of the different characteristics of elderly care service needs from three aspects were analyzed using a dichotomous logistic regression model: predisposing, enabling, and, need factors. Results: 69.7% of the elderly required home care services, 22.8% wanted to get care services at elderly care centers, 15.9% wanted to get care services at nursing homes, 12.3% required community care services, and 7.4% didn’t know where to access care services. 68.5% of the elderly required care services for disabilities/semi-disabilities, 58.0% for dementia, 54.7% for common diseases, 34.9% for rehabilitation training, 33.0% for plumbing care, and 7.5% for hospice care. At the same time, there were urban- rural differences in the demand for elderly care services, with suburban elderly having a higher demand for care services than those living in urban areas (P < 0.05). The elderly’s demand for care services was mainly related to age, place of residence, and gender in the causative factors, mode of residence and physical condition among able factors, and mode of care services and care needs among need factors (P < 0.05). Conclusion: The demand for elderly care services was differentiated by factors including place of residence, age, and gender. It is crucial to accurately match the demand for elderly care services, innovate the mode of elderly care services, and improve the service quality to improve the elderly health service system.

Analysis of the Prevalence Characteristics of Lung Nodules and Their Influencing Factors in The Health Check-Up Population

Objective: To study the prevalence characteristics of pulmonary nodules and their influencing factors in the health check-up population. Methods: A total of 500 cases of health checkups were selected for the data study to analyze the detection and prevalence characteristics of pulmonary nodules. The influencing factors between the pulmonary nodules group and the no pulmonary nodules group were analyzed. Results: A total of 209 cases were detected, of which there were more males than females, and for female patients, the detection rate increased with age (P < 0.05). The distribution of gender, age, smoking, respiratory symptoms, and exposure to kitchen fumes between the two groups was compared (P < 0.05). The multifactorial analysis concluded that risk factors include, respiratory symptoms, older age, exposure to kitchen fumes, and smoking. In addition, patients who exercised more had a lower risk of developing lung nodules. Conclusion: The detection rate of pulmonary nodules was high in the health check-up population and the influencing factors analyzed involved the presence of respiratory symptoms, older age, kitchen fume exposure, and smoking, while the positive influencing factor was increased exercise.

Urban Agglomerations in China: Characteristics and Influencing Factors of Population Agglomeration

Urban agglomeration(UA)is an advanced spatial economic form formed and developed in the process of rapid industrialization and urbanization,and an important carrier of urbanization and economic development.The economy has developed rapidly in the recent decades of China,and the UAs have also developed rapidly.However,as a large population country,the population distribution and changes of UAs in China has unique characteristics.Using the fifth,sixth and seventh population census data,spatial auto-correlation and spatial econometric models,we analyzed the spatial-temporal evolution characteristics and influencing factors of population agglomeration in China’s UAs.Results revealed that:1)from 2000 to 2020,the population gradually converged into UAs,and the characteristics of population agglomeration in different development degree of UAs differ.The higher the development degree of UA,the higher the population agglomeration degree.Besides,UAs are the main area with the most significant population agglomeration degree,and the spatial autocorrelation show that the cities with similar degree tend to be concentrated in space.The urban population gathering in UAs has a certain positive spillover effect on population size of neighboring cities.2)Economic development and social conditions factors are important factors affecting population agglomeration degree in UAs.The main factors of population gather into UAs are similar with the outside UAs,but the positive promotion of urbanization rate and proportion of tertiary industry in GDP on population agglomeration of UAs in China are enhancing from 2000 to 2020.Meanwhile,the other factors,such as high-quality public services,good urban living environment conditions,high-quality medical and educational resources,are also important factors to promote urban population gather into UAs.This study provides a basis for formulating the development planning of UAs in China,and enriches the relevant theoretical research of population evolution and influencing factors of UAs.

Population Distribution and Influencing Factors Based on ESDA

Based on the exploratory spatial data analysis （ESDA） technique and geographic information system （GIS） platform, with statistic data of counties in 2005, this paper confirms that there is a large population density gap between counties in 2005 because the Gini coefficient is 0.55. Population distribution does not change a lot during the past decades, and the southeast China is still much more densely populated than the northwest China. The global spa- tial autoeorrelation of population distribution is obvious because Moran＇s I scores 0.42 and local spatial autocorrelation is partly significant. Climate and elevation are still the main natural influ- encing factors. Meanwhile industrial structure and transportation significantly influence population distribution. Different combinations of natural factors have different effects on population distribution. For a long term, climate and terrain factor stability affect population distribution. But its influence will be weakened by progress of technology. Economic development is the main factor that changes population distribution for a short term.

Regional Differentiation Regularity and Influencing Factors of Population Change in the Qinghai-Tibet Plateau, China

The Qinghai-Tibet Plateau(QTP) is the most unique region of human-land relations, and its main factor is population. By building a population and space dataset of the QTP at the township level from 1982 to 2017, this paper presents the pattern evolvement and regional distribution characteristics of township-level population in the QTP in detail for the first time. By using Geodetector method to analyze the influencing factors of township-level population change in the QTP, this paper provides scientific foundations for studying the Third Pole, ecological environment protection of the QTP, and human-land relations. The conclusions are as follows:1) The population spatial distribution is not balanced at the township level, presents the regional differentiation characteristics of ‘dense in southeast and sparse in northwest’ along the ‘Qilian-Jilong Line’, and demonstrates the phenomenon of population center of gravity moving to the hinterland of the plateau at an accelerated speed;2) The township-level population develops in a decentralized trend in general, and the cold-and hot-spot distribution of population has prominent spatial distribution characteristics. The population hot spots are concentrated in the surrounding areas of Xining, Golmud, Hotan and Lijiang;3) The population of the QTP is increasing, and the inter-annual change of township population has a relatively stable regional regularity;4) The level of per capita income is the leading factor in the change of township population, and its effect intensity is increasing continuously. The relative effect intensity of urbanization level and location conditions on population change has decreased significantly after 2000. The adaptability of living environment,such as topography and climate, has little influence on population change.

Study on Community Care Needs and Influencing Factors of the Urban Elderly in Shandong Province, China

Objective: To understand community care needs of the urban elderly in Shandong Province. To analysis the influencing factors and community care needs of the urban elderly in Shandong Province. Methods: Shandong Province was divided into four levels according to the level of economic development, multi-stage stratified cluster random sampling method was used. Each city collected the old aged 60 years or older served by 5 community health service centers. A total of 3390 questionnaires were distributed, the recovery rate was 100%, it had 3363 effective questionnaires, and an effective rate was 99.20%. SPSS17.0 software was used for univariate and multivariate analysis. Results: Analysis results show that, the influencing factors of community care needs of health promotion dimension have medical time (t = 3.239, P = 0.001) and EQ-5D score (t = 9.104, P - 6.239, P - 17.276, P - 3.762, P - 8.341, P Conclusions: Community care needs of the urban elderly in Shandong Province are at a medium level and have many influencing factors, the scores of each dimension from high to low are health promotion, disease care and disease prevention. In community nursing work, we should meet the care needs of the elderly, we need to enhance elderly self-care and safety awareness and promote the physical and mental health of the elderly.

Influencing Factors and Urbanization Effects of the Spatial Pattern of Floating Population in Anhui Province

Based on the population census data,this paper analyzed the influencing factors and urbanization effects of the floating population in Anhui Province using ArcGIS spatial analysis,factor analysis,multiple liner regression,and spatial autocorrelation,and reached the following conclusions:① From 2000 to 2010,the floating population in Anhui Province was concentrated in cities dotted the Huai River and the Yangtze River,and Hefei City absorbed the most inter-provincial floating population and intra-provincial floating population.② The overall economic strength had the greatest impact on attracting floating population,while the income level factor has less impact on attracting floating population.The overall economic strength and the strength of science,education,culture,and health of prefecture-level cities in Anhui Province were more attractive to the intra-provincial floating population and less attractive to the inter-provincial floating population.③ Population mobility promoted urbanization.Large cities could attract more migrants from counties.The urban population system in Anhui Province was generally developing towards the concentration of large cities,while the proportion of the county population in the total population was decreased.

Analysis on influencing factors of patients experience in community health centers of Shenzhen,China

Objective To investigate the patients experience in community health centers( CHCs) and explore its associated factors. Methods A cross-sectional study was conducted among 330 patients who visited CHCs in Shenzhen,China from January to March 2018. Dependent variable was patient experience. Key descriptive variables were age,gender,marital status,working status groups,visits frequency for the past 6 months,whether patients had signed a family doctor,whether trusted in family doctor,whether had chronic diseases. Results Questionnaires for 300 patients were assessed. In the univariate analysis,patients experience total score was significantly associated with marital status( P < 0. 1),working status groups( P < 0. 1),frequency of visit for the past 6 months( P < 0. 05),whether had signed a family doctor( P < 0. 05),whether trusted in family doctor( P < 0. 05),whether had chronic diseases( P < 0. 05). The multivariate analysis showed that unmarried patients( P = 0. 011,OR = 2. 96,95% CI: 1. 24-5. 43) and had signed a family doctor( P = 0. 023,OR = 0. 44,95% CI: 0. 22-0. 85) were more likely to get a higher score. Conclusions Findings of this study showed a medium-level score of patients experience in the community. Patients had a quite good experience and more interventions should be focused upon the influence factors to improve patients experience.

A National Cross-Sectio nal Survey Dataset on Com mon Disease and Influencing Factors of Chinese Internal Migrants in 2017

This data article describes the dataset from a national cross-sectional questionnaire survey on Chinese internal migrants in 2017.The survey was part of the Chinese Migrants Dynamic Survey,which is an annually conducted large-scale national questionnaire survey on internal migrants.The respondents in the described dataset were migrants and registered local residents aged over 15 years old.A multistage stratified probability-proportionalto-size(PPS) sampling method based on the 2016 annual report data of China Migrant Population was adopted.The questionnaire was designed to collect demographic information of respondents and their family members,intention of migration or settlement,health status,health services accessibility,social integration,and epidemic influencing factors of common diseases,including hypertension,type 2 diabetes,diarrhea,fever,rash,icterus,conjunctival redness,cold,and other illnesses or injuries.The sample population in this survey include 13,998 internal migrants and 14,000 registered local residents from eight domestic cities/prefecture/districts across China.It is the most widely covering and highly representative dataset on common diseases and influencing factors of internal migrants in China.The dataset can be used to study common diseases and influencing factors among floating Chinese population.It provides data support for government to improve healthcare accessibility and the equity of public health services for internal migrants in China.

Spatio-temporal evolution of ecologically-sustainable land use in China's Loess Plateau and detection of its influencing factors

Ecological land(Eco-land) is a basic resource for human beings to survive, and eco-land use is a strategy, a way to manage the land resource. So, ecologically-sustainable land use is essential for human beings to survive. This paper investigates the spatiotemporal characteristics and mechanisms of urban-rural eco-land using a new and innovative integration way based on eco-land change data in China's Loess Plateau(LP) prefecture level cities and explores factors of eco-land change. The spatial difference characteristic of eco-land among different level cities in the LP is that: small cities > big cities > middle cities. From 2009 to 2016, the eco-land in the LP from the perspective of urban-rural areas has changed significantly. Significant differences of urban-rural eco-land were identified among various urban growth types, and all the cities in the LP were further classified into four types based on eco-land change trend, with type A and B cities identified as the vital zone and major zone. Taking the eco-fragile region Loess Plateau(LP) as an example, our results demonstrated that the migrants to cities in LP could relieve ecological pressures and promote restoration of ecological vegetation. We have demonstrated that urbanization and the influence of government policy can be discerned through the quantification of the spatial-temporal change of eco-land and suggest that combining both urban and rural eco-land can support more effective land use decisions and provide theoretical basis for the practical application of urban planning, policy-making and sustainable development. What's more, governments should strive to population mobility and restore vegetation to sustain this fragile ecological environment.

Investigation and Analysis of Factors Influencing the Quality of Community Nursing Services in Laishan District,Yantai City

Objective:The purpose of this study is to conduct an in-depth investigation and analysis of the factors affecting the quality of community nursing services in Laishan District,Yantai City,and provide suggestions for improving the quality of the services.Method:The community nursing services in Laishan District,Yantai City were investigated through questionnaires and on-site observations.Result:The content of nursing services was correlated with the professional titles of the staff.The guidance given to patients and caregivers was significantly correlated with the educational level of community nursing personnel.Therefore,this indicates that the professional titles and educational backgrounds of the community nursing personnel have a significant impact on the quality of service provided.Conclusion:The role of professional title evaluation can be optimized,further enhancing the educational level of nurses in surrounding communities,optimizing service content and methods,etc.,in order to improve the quality of community nursing services in the region.

Application Effect of Health Management in Community Diabetic Population

Objective: This study aims to improve the health level of patients with diabetes in the community through health management measures under the concept of health management. Methods: Community residents were selected to detect, collate and analyze the social demographic information, body mass index, fasting blood glucose and blood lipid level of diabetic patients before and after health management. Results: The study showed that after the implementation of health management education in the community, the detection rate of diabetes patients increased, but the population was no longer mainly elderly patients, but mainly people under 60 years old. The levels of body mass index, fasting blood glucose, triglyceride (TG), total cholesterol (TC) and low-density lipoprotein (LDL) were significantly decreased (all P Conclusion: Through the investigation of patients before and after health management in residential communities, this study shows that the correct implementation of health management can effectively improve the physiological indicators of diabetes patients, improve the level of health quality, and provide a reference for the prevention and treatment of diabetes patients in communities.

The change in population density from 2000 to 2010 and its influencing factors in China at the county scale

Studying the change in population distribution and density can provide important basis for regional development and planning. The spatial patterns and driving factors of the change in population density in China were not clear yet. Therefore, using the population census data in 2000 and 2010, this study firstly analyzed the change of population density in China and divided the change in all 2353 counties into 4 types, consisting of rapid increase, slow increase, slow decrease and rapid decrease. Subsequently, based on the partial least square （PLS） regression method, we recognized the significant factors （among 11 natural and social-economic factors） impacting population density change for the whole country and counties with different types of population change. The results showed that： （1） compared to the population density in 2000, in 2010, the population density in most of the counties （over 60%） increased by 21 persons per km2 on average, while the population density in other counties decreased by 13 persons per km2. Of all the 2353 counties, 860 and 589 counties respectively showed rapid and slow increase in population density, while 458 and 446 coun- ties showed slow and rapid decrease in population density, respectively. （2） Among the 11 factors, social-economic factors impacted population density change more significantly than natural factors. The higher economic development level, better medical condition and stronger communication capability were the main pull factors of population increase. The dense population density was the main push factor of population decrease. These conclusions clarified the spatial pattern of population change and its influencing factors in China over the past 10 years and could provide helpful reference for the future population planning.

Types of community health services selected by urban and suburban residents in Nanjing and influencing factors

Objective:The purpose of the current study was to determine the types of community health services selected by urban and suburban residents in Nanjing and the influencing factors in an ef-fort to improve the community health services to better meet the residents’demands.Methods:Between 15 May 2013 and 15 June 2013,eight community health service centers from four districts in Nanjing(Gulou District and Baixia District in urban areas and Jiangning District and Pukou District in suburban areas;two centers from each district)were selected using a stratified random sampling method of investigation sites.After an intercept interview with 487 community residents,univariate and multivariate analyses were performed by means of logistic regression.Results:Among the 487 users of community health services,there were 241 residents from urban areas(49.5%)and 246 residents from suburban areas(50.5%).Among the respondents,there were 191(39.2%)who usually received medical treatment from community health service institutions,including 74(38.7%)from urban areas and 117(61.3%)from suburban areas.The analysis showed that the factors which influenced urban residents in Nanjing to choose community health services for medical treatment included income,payment terms of medical fees,reasonable prices,medical fees,and expenses for medications,while factors influencing suburban residents to choose community health services for medical treatment included income,level of education,carrier,medical institutions selected when feeling severely ill,availability of preventive health services,availability of health counseling services,medical fees,and expenses for medications.Based on an analysis of the results by means of unconditioned binary logistic stepwise regression,the factors influencing whether or not the urban residents chose community health services for medical treatment included gender,age,level of education,payment terms of medical fees,treat-ment environment,and expenses for medications,while the factors influencing suburban residents included availability of preventive health services and expenses for medications.Conclusion:There was a difference between the types of community health services selected by residents in urban and suburban areas of Nanjing and factors influencing the selection of ser-vices were different.Community health service institutions in different areas should strengthen their own service capability according to the local residents’health demands.

Spatial Coupling Relationship and Driving Mechanism of Population and Economy in Rural Areas in Qinling-Daba Mountains,China

Addressing the issue of the healthy and coordinated development of the population and economic factors in rural areas will not only help consolidate and expand the achievements of poverty alleviation,but will also lay a foundation for comprehensive rural revitalization.In this paper,the spatial coupling relationship between the population and economic factors in rural areas in the QinlingDaba Mountains,China,is explored to provide a reference for rural revitalization and regional sustainable development in poverty areas.Sixty-eight county units in rural areas in the Qinling-Daba Mountains,as well as the population and economic factors in rural areas,are used to study the spatial coupling relationship between population and economy,as well as the driving mechanism,in rural areas in the Qinling-Daba Mountains from 2010 to 2020.The results show that a population contraction phenomenon occurred in the rural areas in the Qinling-Daba Mountains,and the spatial agglomeration trends of the population and economic factors were consistent.The agglomeration was mainly located in the suburban areas of the municipal area,and the agglomeration degree was significantly higher in these areas than in other areas.In terms of the spatial distribution,the economic development level of the rural areas in the northeastern part of the Qinling-Daba Mountains was generally higher than that in the central and western parts,and the unbalanced trends of the population and economic spatial differentiation in the eastern and western regions were significant.The spatial coupling relationship between the population and economy changed from coordinated development to economic advancement.This was mainly due to the mutual restriction and joint actions of the industrial structure,capital situation,natural environment,policies,and institutional regulations,among which the industrial structure and capital status had significant effects.

Research on the Continuous Participation of Virtual Brand Community in Decision-Making Based on Social Influence Theory

Based on the social influence theory,the influence of virtual brand community members’perceived value on social influencing factors is discussed,and the influence of social influencing factors on virtual brand community members’continuous participation in decision-making is analyzed.Through an empirical analysis of the survey data of Xiaomi users in the Xiaomi Community,the results showed that the perceived value of virtual brand community members significantly and positively affects social influencing factors,which also significantly and positively affect the members’continuous participation in virtual brand communities.Therefore,only by sharing valuable information resources and improving the efficiency of information flow,thereby enhancing the perceived value of the community and increasing the stickiness of members to the virtual community,will we have an opportunity to enhance the interaction among members and effectively promote continuous participation in community activities through the strong bonds formed among members.

健康体检人群甲状腺结节检出情况及发病的影响因素

目的调查健康体检人群甲状腺结节(TNs)检出情况,并分析其影响因素,为早期防治TNs提供参考依据。方法选取2022年1月1日至2023年4月30日15393例健康体检人群,均进行多普勒超声检查,按年龄分层及性别统计TNs患病率,通过单因素及多因素logistic回归方程分析TNs影响因素。结果15393例健康体检者,共检查出5001例TNs,检出率为32.49%(5001/15393)。男性不同年龄组TNs检出率均低于女性(P<0.05)。健康人群随着年龄增长TNs检出率呈升高趋势(P<0.05)。两组体重指数、收缩压、舒张压、空腹血糖(FPG)、总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)、性别、年龄、吸烟、饮酒、高脂血症、糖尿病、代谢综合征、脂肪肝、焦虑、抑郁比较,差异有统计学意义(P<0.05)。年龄、性别、糖尿病、脂代谢综合征、脂肪肝、焦虑、抑郁均为TNs独立影响因素(P<0.05)。结论健康体检人群TNs检出率较高,主要与年龄、性别、糖尿病、脂代谢综合征、脂肪肝、焦虑、抑郁等因素有关,临床应在健康体检中普及甲状腺彩超检查项目,以实现对甲状腺疾病的尽早防治。

中国中老年人群脑卒中发病的影响因素探索及列线图模型构建

[目的]探讨中国中老年人群脑卒中发病的相关影响因素,并构建列线图预测模型,以期为脑卒中的防治提供更为个性化的参考依据。[方法]本研究共包括13 063名来源于中国健康与养老追踪调查项目的参与对象。该项目通过多阶段抽样,于2011年对全国28个省(自治区、直辖市)的150个县、450个社区(村)的45岁以上的中老年人进行横断面调查,并详细收集了参与者的社会人口学特征、体格测量资料、健康状况、医疗保健情况、家庭收入和消费状况。分别于2013年、2015年和2018年随访了研究对象脑卒中的发病情况。采用单因素和多因素Cox回归筛选与脑卒中发病有关的影响因素,并构建列线图预测模型。[结果]随访过程中,新发脑卒中774人。多因素Cox回归结果显示,高龄(HR=1.028,95%CI:1.019~1.038)、单身(HR=1.295,95%CI:1.031~1.626)、吸烟(HR=1.264,95%CI:1.074~1.489)、体质指数异常(HR=1.204,95%CI:1.020~1.420)、高血压(HR=2.200,95%CI:1.855~2.609)和糖尿病(HR=1.483,95%CI:1.117~1.970)是影响脑卒中发病的危险因素,高水平的家庭人均年支出(HR=0.783,95%CI:0.642~0.953)是脑卒中发病的拮抗因素。基于以上因素构建的列线图具有较好的预测性能,其曲线下面积(AUC)约为0.700。[结论]高龄、单身、吸烟、体质指数异常、高血压和糖尿病是脑卒中发病的独立危险因素,基于这些因素构建的列线图有助于预测脑卒中的发病率。

棉叶蝉种群动态及影响因素研究

为了探寻棉叶蝉种群数量田间动态变化规律及影响因素,为科学制定防治策略提供决策依据,于不同年份调查了不用药棉田的棉叶蝉数量及其消长规律,对比了常规用药棉田与不用药棉田的棉叶蝉种群动态差异,初步探索了抗虫棉和邻作作物对棉叶蝉种群的影响。结果表明,南昌和九江地区12月仍观测到棉株上有棉叶蝉的活动;2022年棉叶蝉虫口峰值明显高于2021年和2020年,且高峰期时间跨度较大,可能与当年7月-10月的旱情相关;不用药棉田年度间棉叶蝉种群变化趋势并无明显区别;常规用药棉田较不用药棉田棉叶蝉高峰期的时间推迟,但种群数量峰值无明显差异;抗虫棉与非抗虫棉上棉叶蝉个体数量变化动态基本一致,但抗虫棉上棉叶蝉的虫口峰值明显大于非抗虫棉;与玉米邻种的棉田棉叶蝉虫口峰值与对照处理无明显差异,但其峰值出现时间较其他栽培模式推迟;与玲珑菊和贡菊邻种的棉田棉叶蝉虫口峰值数量明显大于其他处理;与甜瓜和番茄邻种的棉田棉叶蝉虫口峰值明显低于其他处理。综上所述,棉叶蝉在赣北有越冬的可能;棉叶蝉的大发生可能与旱情相关;棉田用药可能仅推迟高峰期;抗虫棉有加重棉叶蝉发生的趋势;玲珑菊和贡菊与棉花邻作会加大棉叶蝉对棉田的为害;甜瓜和番茄与棉花邻作可能具有生态控虫的潜力。