Evaluation of the effects of health education interventions for hypertensive patients based on the health belief model

BACKGROUND Hypertension is a major risk factor for cardiovascular disease and stroke,and its prevalence is increasing worldwide.Health education interventions based on the health belief model(HBM)can improve the knowledge,attitudes,and behaviors of patients with hypertension and help them control their blood pressure.AIM To evaluate the effects of health education interventions based on the HBM in patients with hypertension in China.METHODS Between 2021 and 2023,140 patients with hypertension were randomly assigned to either the intervention or control group.The intervention group received health education based on the HBM,including lectures,brochures,videos,and counseling sessions,whereas the control group received routine care.Outcomes were measured at baseline,three months,and six months after the intervention and included blood pressure,medication adherence,self-efficacy,and perceived benefits,barriers,susceptibility,and severity.RESULTS The intervention group had significantly lower systolic blood pressure[mean difference(MD):-8.2 mmHg,P<0.001]and diastolic blood pressure(MD:-5.1 mmHg,P=0.002)compared to the control group at six months.The intervention group also had higher medication adherence(MD:1.8,P<0.001),self-efficacy(MD:12.4,P<0.001),perceived benefits(MD:3.2,P<0.001),lower perceived barriers(MD:-2.6,P=0.001),higher perceived susceptibility(MD:2.8,P=0.002),and higher perceived severity(MD:3.1,P<0.001)than the control group at six months.CONCLUSION Health education interventions based on the HBM effectively improve blood pressure control and health beliefs in patients with hypertension and should be implemented in clinical practice and community settings.

Effects of health concept model-based detailed behavioral care on mood and quality of life in elderly patients with chronic heart failure

BACKGROUND With the intensification of social aging,the susceptibility of the elderly population to diseases has attracted increasing attention,especially chronic heart failure(CHF)that accounts for a large proportion of the elderly.AIM To evaluate the application value of health concept model-based detailed behavioral care in elderly patients with CHF.METHODS This study recruited 116 elderly CHF patients admitted from October 2018 to October 2020 and grouped them according to the nursing care that they received.The elderly patients who underwent health concept model-based detailed behavioral care were included in a study group(SG;n=62),and those who underwent routine detailed behavioral nursing intervention were included as a control group(CG;n=54).Patients’negative emotions(NEs),quality of life(QoL),and nutritional status were assessed using the self-rating anxiety/depression scale(SAS/SDS),the Minnesota Living with Heart Failure Questionnaire(MLHFQ),and the Modified Quantitative Subjective Global Assessment(MQSGA)of nutrition,respectively.Differences in rehabilitation efficiency,NEs,cardiac function(CF)indexes,nutritional status,QoL,and nursing satisfaction were comparatively analyzed.RESULTS A higher response rate was recorded in the SG vs the CG after intervention(P<0.05).After care,the left ventricular ejection fraction was higher while the left ventricular end-diastolic dimension and left ventricular end systolic diameter were lower in the SG compared with the CG(P<0.05).The post-intervention SAS and SDS scores,as well as MQSGA and MLHFQ scores,were also lower in the SG(P<0.05).The SG was also superior to the CG in the overall nursing satisfaction rate(P<0.05).CONCLUSION Health concept model-based detailed behavioral care has high application value in the nursing care of elderly CHF patients,and it can not only effectively enhance rehabilitation efficiency,but also mitigate patients’NEs and improve their CF and QoL.

Research on the Intervention of Internet+ Health Education Model on Hemodialysis Patients with Psychological Distress

Objective:To observe the status quo of patients’psychological distress,and to explore the effect of Internet+health education model(IHEM)on patients who experienced psychological distress during their first hemodialysis treatment,with the goal of reducing their psychological distress and improving their quality of life.Methods:IHEM was conducted on 120 first-time hemodialysis patients for 3 months while a distress thermometer and a list of questionnaires were used to screen patients and provide corresponding psychological intervention.The incidence rate of psychological distress was analyzed statistically to explore the difference in psychological distress at various periods.Results:The incidence rate(score≥4)of psychological distress in first-time hemodialysis patients was 46.67%,and their distress was mainly rooted in physical,emotional,practical problems(economy,time,and energy),etc.Through IHEM,the psychological distress scores of the patients decreased to 3.29±1.02 at one month after their discharge,and the incidence rate was 32.14%;the psychological distress scores of the patients were 2.29±1.02 at 3 months after their discharge,and the incidence rate was 21.14%.The difference before and after the intervention was statistically significant(P<0.05).Conclusion:A psychological distress thermometer can timely detect the degree and causes of psychological distress among first-time hemodialysis patients,and the use of IHEM may significantly alleviate the psychological distress among hemodialysis patients.

MAIPFE:An Efficient Multimodal Approach Integrating Pre-Emptive Analysis,Personalized Feature Selection,and Explainable AI

Medical Internet of Things(IoT)devices are becoming more and more common in healthcare.This has created a huge need for advanced predictive health modeling strategies that can make good use of the growing amount of multimodal data to find potential health risks early and help individuals in a personalized way.Existing methods,while useful,have limitations in predictive accuracy,delay,personalization,and user interpretability,requiring a more comprehensive and efficient approach to harness modern medical IoT devices.MAIPFE is a multimodal approach integrating pre-emptive analysis,personalized feature selection,and explainable AI for real-time health monitoring and disease detection.By using AI for early disease detection,personalized health recommendations,and transparency,healthcare will be transformed.The Multimodal Approach Integrating Pre-emptive Analysis,Personalized Feature Selection,and Explainable AI(MAIPFE)framework,which combines Firefly Optimizer,Recurrent Neural Network(RNN),Fuzzy C Means(FCM),and Explainable AI,improves disease detection precision over existing methods.Comprehensive metrics show the model’s superiority in real-time health analysis.The proposed framework outperformed existing models by 8.3%in disease detection classification precision,8.5%in accuracy,5.5%in recall,2.9%in specificity,4.5%in AUC(Area Under the Curve),and 4.9%in delay reduction.Disease prediction precision increased by 4.5%,accuracy by 3.9%,recall by 2.5%,specificity by 3.5%,AUC by 1.9%,and delay levels decreased by 9.4%.MAIPFE can revolutionize healthcare with preemptive analysis,personalized health insights,and actionable recommendations.The research shows that this innovative approach improves patient outcomes and healthcare efficiency in the real world.

Provoking Buying Behaviors Amid Crises:Unfolding the Underlying Mechanisms of Psychological Impairments

Crises in the past have caused devastating,long-lasting impacts on the global economy.The after-effects always bring some dynamic and rigorous challenges for businesses and governments.Such challenges have always been a point of discussion for scholars.The recent COVID-19 pandemic emaciated the global economy,leaving everyone mired in uncertainty,fear,and psychological impairments.One of the headwind features utilized by consumers during pandemic was panic buying(PB),which must be explored in various contexts for policymakers and practitioners.To address this gap,this study deployed a moderated mediation mechanism,integrating the health belief model(HBM)and competitive arousal theory(CAT)to excavate the notions underlying PB with the intrusion of evolved real-time psychological disorders:intolerance of uncertainty(IU)and cyberchondria(CYC).The study was conducted as a natural experiment in a South Asian developing economy using online surveys.It found that health beliefs—perceived severity(PSV)and perceived susceptibility(PSC)—positively impact perceived arousal(PA),which causes PB,and that PA has a sturdy mediator role.Moreover,in the relationship between health beliefs and arousal,the different psychological disorders were found to have significant moderating roles The study findings can help mitigate risk uncertainties and panic situations and thus contribute to consumers’wellbeing.

Observation on the Effect of Parental Participation in Nursing Under the IMCHB Model in Neonatal Hypoxic-Ischemic Encephalopathy

Objective:To investigate the clinical effects of parental participation in nursing under the Interaction Model of Client Health Behavior(IMCHB)model in neonatal hypoxic-ischemic encephalopathy(HIE).Methods:The First Affiliated Hospital of Gannan Medical University included 46 newborns with HIE admitted from October 2021 to October 2023 into the study population.They were divided into a control group and an observation group according to the random number table method,with the control group adopting routine nursing,and the observation group implementing parental participation in nursing under the IMCHB model.The indicators of physical,intellectual,and psychomotor development of the two groups were compared before and after nursing.Results:The physical,intellectual,and psychomotor development of the observation group was higher than that of the control group after 3 months of nursing,and the difference was statistically significant(P<0.05).Conclusion:The implementation of the IMCHB model of parental participation in the clinical care of HIE neonates can further promote their physical,intellectual,and psychomotor development.

Development and evaluation of the health belief model scale for exercise

Objectives:This study was aimed to develop a health belief model scale for exercise among Chinese residents to describe the relationships between health beliefs and exercise for promoting residents to adopt or maintain exercise programs.Methods:Participants were from two projects,Project 1 with 3833 participants and Project 2 with 7319 participants.A pool of 21 items was developed based on a small-scale qualitative study about health beliefs of exercise and literature.Internal consistency and construct validity of the scale were evaluated with Cronbach'sαcoefficient,exploratory factor analysis(EFA),confirmatory factor analysis(CFA)and second-order confirmatory factor analysis.Results:A final version of 18 items loaded on six factors which could explain 60.30-%of variance was observed after EFA.The internal consistency of the final version with 18 items performed in Project 1 was acceptable(0.609).The reliability of the six subscales was good with Cronbach'sαcoefficient of 0.628,0.713,0.628,0.801,0.676 and 0.838 for perceived benefits,perceived objective barriers,perceived subjective barriers,self-efficacy,perceived severity and cues to action,respectively.CFA and second-order CFA indicated a good fit to data.Conclusions:The Health Belief Model Scale for Exercise(HBMS-E)is a valid and reliable instrument to assess health beliefs of exercise among residents in China.Understanding the health beliefs of exercise will help health professionals to develop effective interventions for health and evaluate the effectiveness.

The Relationship between Psychological Suzhi and Mental Health among Chinese College Students

Object: To explore the relationship between psychological suzhi and mental health among Chinese college students, and to gain psychological suzhi factors that are predictors for mental health. Method: By using stratified sampling method, an investigation was conducted among 734 subjects. They were assessed with the College Student Psychological Suzhi Scale (CSPS, including 3 subscales, 28 factors) and General Health Questionnaire-20 item (GHQ-20, including 3 subscales). Results: 1) Psychological suzhi score for Chinese college students had negative correlation with the score of GHQ-20, GHQ-depression and GHQ-anxiety (p < 0.001), and positive correlation with the score of GHQ-self-affirmation (p < 0.001);2) Psychological suzhi score for Chinese college students was predictor of the score for GHQ-20 and its subscales namely GHQ-self-affirmation, GHQ-depression, and GHQ-anxiety (β = ?0.448, 0.439, ?0.262, ?0.259, p < 0.001);the variance explained by the score of GHQ-20 and its subscales were 19.9%, 19.1%, 6.7%, 6.5%;3) There were 12 psychological suzhi factors that were predictors for GHQ-self-affirmation which was known as the positive indicator of mental health (p < 0.05);11 psychological suzhi factors were predictors for GHQ-depression and GHQ-anxiety which was known as the negative indicator of mental health (p < 0.05). Conclusion: There exists a correlation between psychological suzhi and mental health, particularly in positive mental health. Indeed, the psychological suzhi factors are able to enhance the pertinence of mental health education.

Hydraulic metal structure health diagnosis based on data mining technology

In conjunction with association rules for data mining, the connections between testing indices and strong and weak association rules were determined, and new derivative rules were obtained by further reasoning. Association rules were used to analyze correlation and check consistency between indices. This study shows that the judgment obtained by weak association rules or non-association rules is more accurate and more credible than that obtained by strong association rules. When the testing grades of two indices in the weak association rules are inconsistent, the testing grades of indices are more likely to be erroneous, and the mistakes are often caused by human factors. Clustering data mining technology was used to analyze the reliability of a diagnosis, or to perform health diagnosis directly. Analysis showed that the clustering results are related to the indices selected, and that if the indices selected are more significant, the characteristics of clustering results are also more significant, and the analysis or diagnosis is more credible. The indices and diagnosis analysis function produced by this study provide a necessary theoretical foundation and new ideas for the development of hydraulic metal structure health diagnosis technology.

Predictors of caring behaviors of mothers of premature infants based on the health belief model

Objective:To investigate predictors of caring behaviors of mothers of premature infants based on the health belief model.Methods:This cross-sectional study was conducted by using the structural equation modeling on 168 mothers of premature infants,who were selected by convenience sampling method from October 2017 to February 2018 in Iran.Data were collected by using a standard scale.Validity and reliability of all data collection tools were approved.Data were analyzed by using SPSS V.16 and Mplus6 software.Results:The structural equation modeling of the initial health belief model did not have a good fit,but the fitness of model 2 obtaining from the modified initial model was confirmed by changes in locations of constructs.None of constructs of model 2 had a significant positive association with the caring behavior of mothers of premature infants and only 2.8%of variance of caring behaviors in mothers could be predicted by the sum of variables of demographic characteristics and the modified health belief model constructs.Conclusions:Given that the findings do not approve the use of the health belief model in predicting determinants of caring behavior of mothers of premature infants,it is suggested to apply this model to investigate the effect of educational intervention based on the health belief model on the caring behavior of mothers.

Concept and evaluation of bay health:the role of numerical model in the Yueqing Bay,China

To better evaluate the three-dimensional bay health and predict the dynamic bay health conditions, a concept of numerical bay health was introduced and a method of numerical bay health evaluation（NBHE） was developed.To support the NBHE method, a numerical bay health index（NBHI） system was constructed, which assess the natural and socio-economic effects on the entire bay. Five index groups are combined to formulate the NBHI,including geometry, hydrodynamics and sediment dynamics, bio-ecology, water quality and socio-economy.Each group has different number of indices selected and weighted using AHP method according to their importance. Data were mainly synthesized from a variety of numerical models together with monitoring programs, which provide superior to other approaches in discriminating data integrity and predicting data in future. The NBHE method using NBHI system was applied in the Yueqing Bay during spring tide in April 2007.According to the NBHE results, Sta. A, at the surface level of the estuarine mouth, has a healthy geometry condition, sub-healthy hydrodynamic and sediment dynamic condition, and unhealthy water quality and bioecology conditions. The integrated healthy score at Sta. A indicates its sub-healthy condition.

老年患者门诊预约挂号的影响因素:基于安德森健康行为模型的实证研究

目的基于安德森健康行为模型,研究老年患者门诊预约挂号的影响因素,为优化门诊预约挂号服务、推进老年患者预约挂号提供参考。方法以安德森健康行为模型为理论框架设计问卷,采用方便抽样法向上海某三级甲等综合医院门诊老年患者发放调查问卷。将各维度因素纳入二分类logistic回归模型,采用单因素分析和logistic回归分析探讨老年患者门诊预约挂号的影响因素。结果共回收282份有效问卷,预约挂号187人,占66.31%。曾使用过1~2种预约挂号服务、存在社会支持、距离医院路程80 min以上、收入为>5000~7500元、就诊科室预约率25.00%以上、有预约挂号使用意愿的老年患者更倾向于预约挂号。患慢性病数量在5种及以上的老年患者更不倾向于预约挂号。结论老年患者门诊预约需求较大且受多种因素影响。须关注老年人预约挂号“痛点”,关怀老年群体,共建支持网络,加强有效宣传,优化医疗资源配置,激发使用意愿。

上海市实施整合式慢性病社区健康管理模式的促进和障碍因素

目的分析整合式慢性病社区健康管理模式实施的促进和障碍因素,区分模式服务量高覆盖率组和低覆盖率组在实施性研究的整合性理论框架(consolidated framework for implementation research,CFIR)上的结构差异,为政府部门提供政策建议。方法结合CFIR对22名专家进行半结构化访谈,采用定性结构评级法对13家社区卫生服务中心受访者评分,利用NVivo 12软件编码。结果高覆盖率组和低覆盖率组的相对优势、外部政策与激励、实施准备度、反思和评价、领导个人特质5个CFIR结构有差异。促进因素包括:测量数据更加精准,提高了高血压和糖尿病患者的异常检出率和控制率;模式实现了服务、技术、数据“三整合”,优化管理流程,提供管理抓手;基础性和个性化服务结合吸引患者到基层就诊;模式与我国政策背景,初级卫生保健工作和以患者为中心理念兼容;数字化工具的应用减轻医护人员工作负担;领导重视是基础,利益方间的通力合作是重要保障。障碍因素包括:宏观层面缺少卫生行政机构的支持性政策,组织架构和运行机制尚未建立,建设、投入主体以及具体工作规范和流程有待明确;缺乏监督管理机制和质量评估小组;模式推广目标模糊;缺乏规范化系统性的培训计划;为不同群体提供服务存在挑战,缺乏有效的社会面宣传;模式仍须提高需方获得感;社区布局限制了模式的服务提供。结论卫生行政部门应明确模式的建设、运行、投入主体,完善组织架构并明确各利益方的功能定位和职责分工,进一步制定工作规范和工作流程;建立信息反馈机制和质量控制小组并进行定期评估;制定清晰的目标;加大宣传教育,扩大宣传面;利用数字化工具形成良性医患互动机制。

Knowledge,attitude,and practices toward osteoporosis among Jordanian nurses

Objective:To identify the level of knowledge,attitude,and practice(KAP)toward osteoporosis among Jordanian nurses.Methods:A cross-sectional design was adopted in this study.A convenience sample of 443 Jordanian nurses were recruited from the public and private healthcare settings in Jordan.The assessment tool used in the current study contained 35 items,measuring KAP among Jordanian nurses toward osteoporosis.The correlation Pearson test and regression test were used to analyze data using Statistical Package for Social Sciences,version 21.Results:The total KAP scores were 33.53,37.65,and 22.7,respectively.These results revealed that Jordanian nurses have a moderate level of KAP toward osteoporosis.Conclusions:Jordanian nurses showed a moderate KAP toward osteoporosis,which should be improved as an effective step to reducing the growing incidences of osteoporosis.The lack of KAP holds a serious and growing impact on the Jordanian health sector and patients’health in terms of cost,healthcare resources,and social life.Nurses can play a valuable role in educating patients on bone fracture causes,perceived percentage,risks,and prevention,as well as in helping them with nutrition and lifestyle recommendations.

Relationship between Contraceptive Knowledge,Cognition and Behaviors among Vocational High School Students

Objective To study the relationship between contraceptive knowledge, cognition and behaviors among vocational high school students. Methods A cross-sectional survey was anonymously self-administrated by way of computer to all the 1st graders＇ among three vocational high schools in a district of Shanghai. Four cognition indicators, including perceived benefits, perceived barriers, perceived risks and self eJficacy were applied according to Health Belief Model. Results The percentage of respondents who reported ever sexual practices and contraceptives use at first sex was 7.01% and 56.64% respectively. Condom （58. 70%） and oral contraceptive pills （27.78%） were used by the majority. Main reasons for non-use were ＂shy to buy it＂ （26.53%） and ＂partner don＇t want to use any＂ （18.37%）. Proportion of respondents who ever had sex regarded withdrawal and rhythm as effective were 68.35% and 68.42% respectively. Proportion of respondents having sex knew ＂If a person was infected with STDs, he/she might not have noticeable symptoms＂ were 22.86%. Proportion of respondents who reported non-use of contraceptives at first sex considered that ＂infrequent intercourse could not cause a girl pregnant even she had experienced her menstruation＂ were 40.63%. Proportion of respondents who had ever used condom got full score of knowledge on ＂how to correctly use condom＂ were 23,26%. Perceived risks were poorest among four cognition indicators. High level of contraceptive knowledge was connected with high rate of contraceptives use at first sex, whereas high level contraceptive cognition was connected with high rate of contraceptive use both at first and recent sex. Conclusions It is important to provide youth-friendly services as well as message on contraceptives among vocational school students.

How knowledge of hepatitis B disease and vaccine influences vaccination practices among parents in Ho Chi Minh City, Vietnam

Objective:To assess the influences of the knowledge of parents about hepatitis B virus(HBV)infection and the benefit of HBV vaccination on the practice of HBV vaccination among children.Methods:A prospective cross-sectional study recruited parents whose children,aged 12-24 months,received HBV vaccination at Commune Health Centers(CHCs)in Ho Chi Minh City from Feb.2016 to Jul.2017.Parents were interviewed using a questionnaire that included 11-item binary knowledge questions and checked their children’s vaccination cards.Results:A total of 768 parents had a mean age of(30.8±5.1)years.The mean knowledge score of the 11-item questions was(7.0±2.4).The knowledge score was positively associated with full and timely HBV vaccination.In addition,children who received complete and timely HBV vaccination were significantly more likely to live in rural areas(Adjusted OR 4.02,95%CI 2.79-5.79,P<0.001).Also,children whose parents received vaccination information from health care providers,and had knowledge about HBV risk,had a higher rate of full and timely HBV vaccination(Adjusted OR 1.60,95%CI 1.13-2.29,and Adjusted OR 1.47,95%CI 1.01-2.13,P all<0.05).Conclusions:Parents possessed a great deal of incorrect knowledge about HBV.More health education from health care providers should target parents living in specific locations and focus on the benefits of HBV vaccine.

Raising Awareness about Water Issues:The Role of Water Symbolism and Proverbs

Sustainable water management is one of the global grand challenges of our time. Tackling this challenge through corrective actions would require the participation of the general public, a public with sound awareness of the challenge and commitment. One such awareness raising intervention could be through the use of water symbolism and proverbs, targeted to particular society. Water has the different symbolism and levels of importance to people, depending of their personal characteristics and socio-demographic factors (e.g. gender, age, occupation, residence). Similarly, water proverbs can also demonstrate attitudes towards water among communities, ethnic groups and whole nations. Such meanings and symbolism could help determine attitude and be a powerful tool towards education. In this context, we describe and propose a psychological Health Belief Model (HBM) as a way to explain behaviour and stimulate sustainable water management practice.

Finite element model validation of bridge based on structural health monitoring——Part I: Response surface-based finite element model updating

In the engineering practice, merging statistical analysis into structural evaluation and assessment is a tendency in the future. As a combination of mathematical and statistical techniques, response surface （RS） methodology has been successfully applied to design optimization, response prediction and model validation. With the aid of RS methodology, these two serial papers present a finite element （FE） model updating and validation method for bridge structures based on structural health monitoring. The key issues to implement such a model updating are discussed in this paper, such as design of experiment, parameter screening, construction of high-order polynomial response surface model, optimization methods and precision inspection of RS model. The proposed procedure is illustrated by a prestressed concrete continuous rigid-frame bridge monitored under operational conditions. The results from the updated FE model have been compared with those obtained from online health monitoring system. The real application to a full-size bridge has demonstrated that the FE model updating process is efficient and convenient. The updated FE model can relatively reflect the actual condition of Xiabaishi Bridge in the design space of parameters and can be further applied to FE model validation and damage identification.

Assessing preventive health behaviors from COVID-19:a cross sectional study with health belief model in Golestan Province,Northern of Iran

Background: Coronavirus disease 2019(COVID-19)is a new viral disease that has caused a pandemic in the world.Due to the lack of vaccines and definitive treatment,preventive behaviors are the only way to overcome the disease.Therefore,the present study aimed to determine the preventive behaviors from the disease based on constructs of the health belief model.Methods:: In the present cross-sectional study during March 11–16,2020,750 individuals in Golestan Province of Iran were included in the study using the convenience sampling and they completed the questionnaires through cyberspace.Factor scores were calculated using the confirmatory factor analysis.The effects of different factors were separately investigated using the univariate analyses,including students sample t-test,ANOVA,and simple linear regression.Finally,the effective factors were examined by the multiple regression analysis at a significant level of 0.05 and through Mplus 7 and SPSS 16.Results: The participants’mean age was 33.9±9.45 years;and 57.1%of them had associate and bachelor's degrees.Multiple regression indicated that the mean score of preventive behavior from COVID-19 was higher in females than males,and greater in urban dwellers than rural dwellers.Furthermore,one unit increase in the standard deviation of factor scores of self-efficacy and perceived benefits increased the scores of preventive behavior from COVID-19 by 0.22 and 0.17 units respectively.On the contrary,one unit increase in the standard deviation of factor score of perceived barriers and fatalistic beliefs decreased the scores of the preventive behavior from COVID-19 by 0.36 and 0.19 units respectively.Conclusions: Results: of the present study indicated that female gender,perceived barriers,perceived self-efficacy,fatalistic beliefs,perceived interests,and living in city had the greatest preventive behaviors from COVID-19 respectively.Preventive interventions were necessary among males and villagers.

Evaluation of health benefit using Ben MAP-CE with an integrated scheme of model and monitor data during Guangzhou Asian Games

Guangzhou is the capital and largest city（land area：7287 km2）of Guangdong province in South China.The air quality in Guangzhou typically worsens in November due to unfavorable meteorological conditions for pollutant dispersion.During the Guangzhou Asian Games in November 2010,the Guangzhou government carried out a number of emission control measures that significantly improved the air quality.In this paper,we estimated the acute health outcome changes related to the air quality improvement during the 2010 Guangzhou Asian Games using a next-generation,fully-integrated assessment system for air quality and health benefits.This advanced system generates air quality data by fusing model and monitoring data instead of using monitoring data alone,which provides more reliable results.The air quality estimates retain the spatial distribution of model results while calibrating the value with observations.The results show that the mean PM2.5concentration in November 2010 decreased by 3.5μg/m^3 compared to that in 2009 due to the emission control measures.From the analysis,we estimate that the air quality improvement avoided 106 premature deaths,1869 cases of hospital admission,and 20,026 cases of outpatient visits.The overall cost benefit of the improved air quality is estimated to be 165 million CNY,with the avoided premature death contributing 90%of this figure.The research demonstrates that Ben MAP-CE is capable of assessing the health and cost benefits of air pollution control for sound policy making.