The gatekeeper policy has been implemented for approximately ten years on a pilot population in China. It is necessary to assess the satisfaction of patients utilizing community health service（CHS） under the gatekee...The gatekeeper policy has been implemented for approximately ten years on a pilot population in China. It is necessary to assess the satisfaction of patients utilizing community health service（CHS） under the gatekeeper system. Our study showed that the cognition of gatekeeper policy was associated with four dimensions including doctor‐patient relationships, information and support, organization of care, and accessibility（P 〈 0.001）. One or more factors such as gender and self‐perceived health scores also affected their satisfaction. General practitioners must be prepared to focus on these aspects of information and support, organization of care, and accessibility as indicators of potential opportunities for improvement. Additionally, policymakers can improve patients＇ satisfaction with CHS by strengthening their awareness of the gatekeeper policy.展开更多
Background: The prevalence and incidence rate of tuberculosis remains high although the disease is known to be almost always curable provided the patient adheres to the treatment regimen. This study assessed the stren...Background: The prevalence and incidence rate of tuberculosis remains high although the disease is known to be almost always curable provided the patient adheres to the treatment regimen. This study assessed the strength of association between known patient and health system factors associated with first line tuberculosis treatment adherence. Methods: A quantitative cross sectional study. Retrospective chart reviews were conducted among 570 persons who had primary tuberculosis and received first line treatment at a health facility within the Nkangala district, Mpumalanga province and who had a treatment outcome recorded between 1st January 2009 and 31st December 2014. Adherence to first line tuberculosis treatment was defined as taking ≥80% of tuberculosis prescribed drugs within a period of 6 to 8 months. Stata software (logistic regressions model) was used to analyze results and find the strength of association between known factors and treatment adherence. Results: Out of the 570 study participants, 473 were adherent and 96 were not adherent. There was a statistically significant association between age 18 years and above (OR: 1.02, P-value: 0.027), sex (lower in males OR: 0.44, P-value: 0.001) and support (OR: 3.04, P-value: 0.05) and HIV (OR: 1, P-value: 0.634) and first line TB treatment adherence. Conclusion and Recommendation: >80% adherence to first line tuberculosis outcome is possible. The support given to people with tuberculosis will further enhance adherence to first line tuberculosis treatment.展开更多
With nearly three-quarters of global deaths attributed to lifestyle-associated di-seases,effective lifestyle modifications are more urgent than ever.The American Heart Association’s framework for cardiovascular healt...With nearly three-quarters of global deaths attributed to lifestyle-associated di-seases,effective lifestyle modifications are more urgent than ever.The American Heart Association’s framework for cardiovascular health has evolved signifi-cantly,transitioning from'Life’s Simple 7'to'Life’s Essential 8'with the incorpo-ration of sleep,and further to'Life’s Essential 9'by adding mental health as a key component.Despite these advancements,recent evidence reveals a persistently low prevalence of ideal cardiovascular and cerebrovascular health behaviors across populations.These findings highlight the critical gap in addressing modi-fiable lifestyle and psychosocial factors.To reduce the global disease burden,public health strategies must prioritize comprehensive interventions that encom-pass physical,neurological,and mental well-being.展开更多
In 2019,cardiovascular disease(CVD)accounted for 46.74%and 44.26%of all deaths in rural and urban areas,respectively.Two out of every five deaths were due to CVD.It is estimated that about 330 million patients suffer ...In 2019,cardiovascular disease(CVD)accounted for 46.74%and 44.26%of all deaths in rural and urban areas,respectively.Two out of every five deaths were due to CVD.It is estimated that about 330 million patients suffer from CVD in China.The number of patients suffering from stroke,coronary heart disease,heart failure,pulmonary heart disease,atrial fibrillation,rheumatic heart disease,congenital heart disease,lower extremity artery disease and hypertension are 13.00 million,11.39 million,8.90 million,5.00 million,4.87 million,2.50 million,2.00 million,45.30 million,and 245.00 million,respectively.Given that China is challenged by the dual pressures of population aging and steady rise in the prevalence of metabolic risk factors,the burden caused by CVD will continue to increase,which has set new requirements for CVD prevention and treatment and the allocation of medical resources in China.It is important to reduce the prevalence through primary prevention,increase the allocation of medical resources for CVD emergency and critical care,and provide rehabilitation services and secondary prevention to reduce the risk of recurrence,re-hospitalization and disability in CVD survivors.The number of people suffering from hypertension,dyslipidemia and diabetes in China has reached hundreds of millions.Since blood pressure,blood lipids,and blood glucose levels rise mostly insidiously,vascular disease or even serious events such as myocardial infarction and stroke often already occured at the time of detection in this population.Hence,more strategies and tasks should be taken to prevent risk factors such as hypertension,dyslipidemia,diabetes,obesity,and smoking,and more efforts should be made in the assessment of cardiovascular health status and the prevention,treatment,and research of early pathological changes.展开更多
In the past 30 years,the accessibility and quality index of medical care have made remarkable progress in China,ranking the first among middle-income countries.Many cardiovascular technologies are at or near the world...In the past 30 years,the accessibility and quality index of medical care have made remarkable progress in China,ranking the first among middle-income countries.Many cardiovascular technologies are at or near the world's leading level,and significant progress has been achieved in China solving the problem of“treatment difficulty”of cardiovascular diseases(CVD).However,due to the prevalence of unhealthy lifestyles among Chinese residents,a huge population with CVD risk factors,accelerated population aging,and other reasons,the incidence and mortality rate of CVD are still increasing,and the turning point of the decline in disease burden has not appeared yet in China.In terms of proportions of disease mortality among urban and rural residents,CVD still ranks the first.In 2020,CVD accounted for 48.00%and 45.86%of the causes of death in rural and urban areas,respectively;two out of every five deaths were due to CVD.It is estimated that the number of current CVD patients in China is around 330 million,including 13 million stroke,11.39 million coronary heart disease,8.9 million heart failure,5 million pulmonary heart disease,4.87 million atrial fibrillation,2.5 million rheumatic heart disease,2 million congenital heart disease,45.3 million peripheral artery disease,and 245 million hypertension cases.China has entered a new stage of transformation from high-speed development to high-quality development,and the prevention and control of CVD in China should also shift from previous emphasis on scale growth to strategies focusing more on strategic and key technological development in order to curb the trend of increasing incidence and mortality rates of CVD.展开更多
BACKGROUND The American Heart Association defines cardiovascular health in terms of four behaviors(smoking,diet,physical activity,and body weight)and three factors(plasma glucose,cholesterol,and blood pressure).By thi...BACKGROUND The American Heart Association defines cardiovascular health in terms of four behaviors(smoking,diet,physical activity,and body weight)and three factors(plasma glucose,cholesterol,and blood pressure).By this definition,the preva-lence of ideal cardiovascular health behaviors and factors(ICHBF)is negatively correlated with all-cause mortality and risks of cardiovascular and cerebrovas-cular diseases and malignancy.AIM To investigate the changing trends of cardiovascular and cerebrovascular health scores in the Kailuan study population from 2006 to 2011.METHODS The Kailuan population data from three health checkups held in 2006-2007,2008-2009,and 2010-2011 were analyzed,and the constituent ratios of cardiovascular and cerebrovascular health behaviors and factors at ideal,intermediate,and poor levels were calculated by using Huffman and Capewell method.Simultaneously,the cardiovascular and cerebrovascular health behavior and factor scores were calculated.RESULTS From 2006 to 2007,the proportion of people with ideal physical exercise,low salt diet,ideal body mass index,ideal total cholesterol level,no smoking,ideal blood sugar,and ideal blood pressure was 13.12%,9.34%,49.17%,64.20%,49.27%,69.99%,and 20.55%,respectively,in men with a health score of 8.46,and 12.00%,9.13%,61.60%,64.28%,98.19%,78.90%and 36.92%in women,with a score of 10.02.From 2008 to 2009,the proportion was 16.09%,14.04%,51.94%,65.02%,40.18%,66.44%,and 17.04%in men,with a score of 8.18,and 16.860%,17.360%,64.010%,67.433%,98.220%,76.370%,and 42.340%in women,with a score of 10.12.From 2010 to 2011,the proportion was 12.22%,17.65%,49.40%,68.33%,48.17%,64.67%,and 14.68%in males,having a score of 8.21,while in females,the proportion was 11.83%,18.09%,49.40%,67.85%,98.82%,74.52%,and 37.78%,with a score of 9.90.Core Tip:The American Heart Association defines ideal cardiovascular health as the concurrent presence of ideal health parameters(blood glucose,total cholesterol,and blood pressure levels)and ideal health behaviors(weight status,diet,physical activity,and smoking).Our study design was retrospective and based on the Kailuan study.This prospective study was initiated in July 2006 to evaluate the risk factors and interventions for cardiovascular diseases and cerebrovascular diseases in the Kailuan community population,with several articles having been published on such chronic non-communicable diseases.A fixed population was constituted from these 57659 participants,and their cerebrovascular and cardiovascular health parameters and behaviors were surveyed from 2006 to 2011.Furthermore,the distributions of cardiovascular health parameters and behaviors were portrayed,and their health scores were estimated.cholesterol level,no smoking,ideal blood sugar,and ideal blood pressure was 16.09%,14.04%,51.94%,65.02%,40.18%,66.44%,and 17.04%,and it was 16.86%,17.36%,64.01%,67.433%,98.22%,76.37%,and 42.34%for women.From 2010-2011,the proportion of men with ideal physical exercise,low salt diet,ideal body mass index,and ideal total cholesterol level,no smoking,ideal blood sugar,and ideal blood pressure was 12.22%,17.65%,49.40%,68.33%,48.17%,64.67%,and 14.68%,and it was 11.83%,18.09%,49.40%,67.85%,98.82%,74.52%,and 37.78%in women.The prevalence of ideal cardiovascular and cerebrovascular health behaviors and factors of different genders from 2006 to 2011 is shown in Table 1 and Table 2.The prevalence of poor and intermediate cardiovascular and cerebrovascular health behaviors and factors of different genders from 2006 to 2011 was described in our previous research[11].The health scores of men and women in 2006,2008,and 2010 were 8.46 and 10.02,8.18 and 10.12,as well as 8.21 and 9.90,respectively;the distribution of cardiovascular and cerebrovascular health behaviors and factor scores of different genders from 2006 to 2011 are shown in Table 3 and Table 4.The mean±SD of body mass index,blood pressure,fasting blood glucose,and total cholesterol levels of different genders from 2006 to 2011 are shown in Table 5 and Table 6.展开更多
Introduction:Self-harm represents a significant public health challenge,particularly affecting young adults.This study evaluated prevalence rates and identified individual-and college-level risk factors for self-harm ...Introduction:Self-harm represents a significant public health challenge,particularly affecting young adults.This study evaluated prevalence rates and identified individual-and college-level risk factors for self-harm among college students in Jiangsu Province.Methods:Using data from the‘Surveillance for common disease and health risk factors among students in Jiangsu Province’program during 2019-2023,we employed multilevel logistic regression models to account for potential clustering within sampled colleges and to estimate odds ratios(OR)and 95%confidence intervals(CI)for person-and collegelevel factors.Dynamic analyses were conducted with repeated modeling by year.Results:Youth self-harm rates fluctuated between 2.21%and 3.83%during the study period.Self-harm was strongly associated with unhealthy lifestyles,particularly internet addiction(OR:2.50,95%CI:1.91,3.24),while regular family psychological forums were associated with decreased risk(OR:0.72,95%CI:0.55,0.95).Conclusion:Our findings emphasize the necessity of on-campus psychosocial support and highlight the importance of leveraging family-college collective resources with targeted interventions,especially for high-risk groups exhibiting unhealthy lifestyles,particularly internet addiction.展开更多
Background:The number of cumulative confirmed cases of COVID-19 in the United States has risen sharply since March 2020.A county health ranking and roadmaps program has been established to identify factors associated ...Background:The number of cumulative confirmed cases of COVID-19 in the United States has risen sharply since March 2020.A county health ranking and roadmaps program has been established to identify factors associated with disparity in mobility and mortality of COVID-19 in all counties in the United States.The risk factors associated with county-level mortality of COVID-19 with various levels of prevaIence are not well understood.Methods:Using the data obtained from the County Health Rankings and Roadmaps program,this study applied a negative binomial design to the courtty-level mortality counts of COVID-19 as of August 27,2020 in the United States.In this design,the infected counties were categorized into three levels of infections using clustering analysis based on time-var ying cumulative con firmed cases from March 1 to August 27,2020.COVID-19 patients were not analyzed in dividually but were aggregated at the county-level,where the coun ty-level deaths of COVID-19 con firmed by the local health agencies.Clustering analysis and Kruskal-Wallis tests were used in our statistical analysis.展开更多
As artificial intelligence(AI)technology evolves,data-driven approaches are gaining attention in predicting lithium-ion battery's remaining useful life(RUL).Indeed,accurate RUL prediction is challenging,primarily ...As artificial intelligence(AI)technology evolves,data-driven approaches are gaining attention in predicting lithium-ion battery's remaining useful life(RUL).Indeed,accurate RUL prediction is challenging,primarily because of the complex nature of the work and dynamic shifts in model parameters.To address these challenges,this article comprehensively explores five significant publicly accessible lithium-ion battery datasets,encompassing diverse usage conditions and battery types,offering researchers a rich repository of experimental data.In particular,we not only provide detailed information and access addresses for each dataset,but also present,four innovative methods for battery aging health factor extraction.These methods,based on advanced AI techniques,are able to effectively identify and quantify key indicators of battery performance degradation,thereby enhancing the precision and dependability of RUL prediction.Additionally,the article identifies major challenges faced by current predictive techniques,including data quality,model generalization capabilities,and computational cost,highlighting the need for research focused on dataset diversity,multiple algorithm fusion,and hybrid physicaldata-driven models to enhance prediction accuracy.We believe that this review will help researchers gain a comprehensive understanding of RUL estimation methods and promote the development of AI in battery.展开更多
Introduction:Classroom environments—the primary visual setting for students—may significantly influence ocular health.This study examined key modifiable factors of poor vision related to primary and junior high scho...Introduction:Classroom environments—the primary visual setting for students—may significantly influence ocular health.This study examined key modifiable factors of poor vision related to primary and junior high school classroom environments in Guangdong,China.Methods:We analyzed population-based data(of 180,584 students and 3,905 classrooms)from the Surveillance Program for Common Student Diseases and Health Risk Factors implemented in Guangdong in 2024.Multivariable logistic regression was employed to examine associations between poor vision and classroom conditions.XGBoost modeling and Shapley Additive Explanations(SHAP)were applied to rank the relative importance of environmental predictors.Results:The prevalence of poor vision was 60.22%.An unqualified desk-chair allocation compliance rate,blackboard reflectance,and desktop illuminance uniformity were independently associated with higher odds of poor vision,with adjusted odds ratios(95%confidence interval)of 1.05(1.01,1.08),1.09(1.06,1.11),and 1.05(1.02,1.08),respectively.The SHAP analysis identified blackboard reflectance as the most influential factor,followed by blackboard average illuminance,desk-chair allocation compliance rate,and desktop illuminance uniformity.Conclusions:Blackboard reflectance,desk-chair allocation compliance rate,and desktop illuminance uniformity were critical modifiable factors.A multisectoral collaboration mechanism aligned with national myopia prevention policies is recommended to ensure compliance with visual environmental standards in educational settings.展开更多
基金supported by the National Natural Science Foundation of China.(NSFC,71373090,‘Study on the gatekeeper policy of CHS’)
文摘The gatekeeper policy has been implemented for approximately ten years on a pilot population in China. It is necessary to assess the satisfaction of patients utilizing community health service（CHS） under the gatekeeper system. Our study showed that the cognition of gatekeeper policy was associated with four dimensions including doctor‐patient relationships, information and support, organization of care, and accessibility（P 〈 0.001）. One or more factors such as gender and self‐perceived health scores also affected their satisfaction. General practitioners must be prepared to focus on these aspects of information and support, organization of care, and accessibility as indicators of potential opportunities for improvement. Additionally, policymakers can improve patients＇ satisfaction with CHS by strengthening their awareness of the gatekeeper policy.
文摘Background: The prevalence and incidence rate of tuberculosis remains high although the disease is known to be almost always curable provided the patient adheres to the treatment regimen. This study assessed the strength of association between known patient and health system factors associated with first line tuberculosis treatment adherence. Methods: A quantitative cross sectional study. Retrospective chart reviews were conducted among 570 persons who had primary tuberculosis and received first line treatment at a health facility within the Nkangala district, Mpumalanga province and who had a treatment outcome recorded between 1st January 2009 and 31st December 2014. Adherence to first line tuberculosis treatment was defined as taking ≥80% of tuberculosis prescribed drugs within a period of 6 to 8 months. Stata software (logistic regressions model) was used to analyze results and find the strength of association between known factors and treatment adherence. Results: Out of the 570 study participants, 473 were adherent and 96 were not adherent. There was a statistically significant association between age 18 years and above (OR: 1.02, P-value: 0.027), sex (lower in males OR: 0.44, P-value: 0.001) and support (OR: 3.04, P-value: 0.05) and HIV (OR: 1, P-value: 0.634) and first line TB treatment adherence. Conclusion and Recommendation: >80% adherence to first line tuberculosis outcome is possible. The support given to people with tuberculosis will further enhance adherence to first line tuberculosis treatment.
基金Supported by the Wenzhou Science Technology Bureau Foundation,No.Y20220470.
文摘With nearly three-quarters of global deaths attributed to lifestyle-associated di-seases,effective lifestyle modifications are more urgent than ever.The American Heart Association’s framework for cardiovascular health has evolved signifi-cantly,transitioning from'Life’s Simple 7'to'Life’s Essential 8'with the incorpo-ration of sleep,and further to'Life’s Essential 9'by adding mental health as a key component.Despite these advancements,recent evidence reveals a persistently low prevalence of ideal cardiovascular and cerebrovascular health behaviors across populations.These findings highlight the critical gap in addressing modi-fiable lifestyle and psychosocial factors.To reduce the global disease burden,public health strategies must prioritize comprehensive interventions that encom-pass physical,neurological,and mental well-being.
文摘In 2019,cardiovascular disease(CVD)accounted for 46.74%and 44.26%of all deaths in rural and urban areas,respectively.Two out of every five deaths were due to CVD.It is estimated that about 330 million patients suffer from CVD in China.The number of patients suffering from stroke,coronary heart disease,heart failure,pulmonary heart disease,atrial fibrillation,rheumatic heart disease,congenital heart disease,lower extremity artery disease and hypertension are 13.00 million,11.39 million,8.90 million,5.00 million,4.87 million,2.50 million,2.00 million,45.30 million,and 245.00 million,respectively.Given that China is challenged by the dual pressures of population aging and steady rise in the prevalence of metabolic risk factors,the burden caused by CVD will continue to increase,which has set new requirements for CVD prevention and treatment and the allocation of medical resources in China.It is important to reduce the prevalence through primary prevention,increase the allocation of medical resources for CVD emergency and critical care,and provide rehabilitation services and secondary prevention to reduce the risk of recurrence,re-hospitalization and disability in CVD survivors.The number of people suffering from hypertension,dyslipidemia and diabetes in China has reached hundreds of millions.Since blood pressure,blood lipids,and blood glucose levels rise mostly insidiously,vascular disease or even serious events such as myocardial infarction and stroke often already occured at the time of detection in this population.Hence,more strategies and tasks should be taken to prevent risk factors such as hypertension,dyslipidemia,diabetes,obesity,and smoking,and more efforts should be made in the assessment of cardiovascular health status and the prevention,treatment,and research of early pathological changes.
文摘In the past 30 years,the accessibility and quality index of medical care have made remarkable progress in China,ranking the first among middle-income countries.Many cardiovascular technologies are at or near the world's leading level,and significant progress has been achieved in China solving the problem of“treatment difficulty”of cardiovascular diseases(CVD).However,due to the prevalence of unhealthy lifestyles among Chinese residents,a huge population with CVD risk factors,accelerated population aging,and other reasons,the incidence and mortality rate of CVD are still increasing,and the turning point of the decline in disease burden has not appeared yet in China.In terms of proportions of disease mortality among urban and rural residents,CVD still ranks the first.In 2020,CVD accounted for 48.00%and 45.86%of the causes of death in rural and urban areas,respectively;two out of every five deaths were due to CVD.It is estimated that the number of current CVD patients in China is around 330 million,including 13 million stroke,11.39 million coronary heart disease,8.9 million heart failure,5 million pulmonary heart disease,4.87 million atrial fibrillation,2.5 million rheumatic heart disease,2 million congenital heart disease,45.3 million peripheral artery disease,and 245 million hypertension cases.China has entered a new stage of transformation from high-speed development to high-quality development,and the prevention and control of CVD in China should also shift from previous emphasis on scale growth to strategies focusing more on strategic and key technological development in order to curb the trend of increasing incidence and mortality rates of CVD.
基金Supported by the Peking University People’s Hospital Talent Introduction Scientific Research Launch Fund,No.2022-T-02.
文摘BACKGROUND The American Heart Association defines cardiovascular health in terms of four behaviors(smoking,diet,physical activity,and body weight)and three factors(plasma glucose,cholesterol,and blood pressure).By this definition,the preva-lence of ideal cardiovascular health behaviors and factors(ICHBF)is negatively correlated with all-cause mortality and risks of cardiovascular and cerebrovas-cular diseases and malignancy.AIM To investigate the changing trends of cardiovascular and cerebrovascular health scores in the Kailuan study population from 2006 to 2011.METHODS The Kailuan population data from three health checkups held in 2006-2007,2008-2009,and 2010-2011 were analyzed,and the constituent ratios of cardiovascular and cerebrovascular health behaviors and factors at ideal,intermediate,and poor levels were calculated by using Huffman and Capewell method.Simultaneously,the cardiovascular and cerebrovascular health behavior and factor scores were calculated.RESULTS From 2006 to 2007,the proportion of people with ideal physical exercise,low salt diet,ideal body mass index,ideal total cholesterol level,no smoking,ideal blood sugar,and ideal blood pressure was 13.12%,9.34%,49.17%,64.20%,49.27%,69.99%,and 20.55%,respectively,in men with a health score of 8.46,and 12.00%,9.13%,61.60%,64.28%,98.19%,78.90%and 36.92%in women,with a score of 10.02.From 2008 to 2009,the proportion was 16.09%,14.04%,51.94%,65.02%,40.18%,66.44%,and 17.04%in men,with a score of 8.18,and 16.860%,17.360%,64.010%,67.433%,98.220%,76.370%,and 42.340%in women,with a score of 10.12.From 2010 to 2011,the proportion was 12.22%,17.65%,49.40%,68.33%,48.17%,64.67%,and 14.68%in males,having a score of 8.21,while in females,the proportion was 11.83%,18.09%,49.40%,67.85%,98.82%,74.52%,and 37.78%,with a score of 9.90.Core Tip:The American Heart Association defines ideal cardiovascular health as the concurrent presence of ideal health parameters(blood glucose,total cholesterol,and blood pressure levels)and ideal health behaviors(weight status,diet,physical activity,and smoking).Our study design was retrospective and based on the Kailuan study.This prospective study was initiated in July 2006 to evaluate the risk factors and interventions for cardiovascular diseases and cerebrovascular diseases in the Kailuan community population,with several articles having been published on such chronic non-communicable diseases.A fixed population was constituted from these 57659 participants,and their cerebrovascular and cardiovascular health parameters and behaviors were surveyed from 2006 to 2011.Furthermore,the distributions of cardiovascular health parameters and behaviors were portrayed,and their health scores were estimated.cholesterol level,no smoking,ideal blood sugar,and ideal blood pressure was 16.09%,14.04%,51.94%,65.02%,40.18%,66.44%,and 17.04%,and it was 16.86%,17.36%,64.01%,67.433%,98.22%,76.37%,and 42.34%for women.From 2010-2011,the proportion of men with ideal physical exercise,low salt diet,ideal body mass index,and ideal total cholesterol level,no smoking,ideal blood sugar,and ideal blood pressure was 12.22%,17.65%,49.40%,68.33%,48.17%,64.67%,and 14.68%,and it was 11.83%,18.09%,49.40%,67.85%,98.82%,74.52%,and 37.78%in women.The prevalence of ideal cardiovascular and cerebrovascular health behaviors and factors of different genders from 2006 to 2011 is shown in Table 1 and Table 2.The prevalence of poor and intermediate cardiovascular and cerebrovascular health behaviors and factors of different genders from 2006 to 2011 was described in our previous research[11].The health scores of men and women in 2006,2008,and 2010 were 8.46 and 10.02,8.18 and 10.12,as well as 8.21 and 9.90,respectively;the distribution of cardiovascular and cerebrovascular health behaviors and factor scores of different genders from 2006 to 2011 are shown in Table 3 and Table 4.The mean±SD of body mass index,blood pressure,fasting blood glucose,and total cholesterol levels of different genders from 2006 to 2011 are shown in Table 5 and Table 6.
基金Supported by National Social Science Foundation of China(Grant No.23CGL072),Ministry of Science and Technology(Grant No.G2023141005L),Ministry of Education(Grant No.1125000172)SEU Innovation Capability Enhancement Plan for Doctoral Students(Grant No.CXJH_SEU 25220)Jiangsu Provincial Department of Science and Technology,Jiangsu Provincial Social Science Foundation(Grant No.24SHB005).
文摘Introduction:Self-harm represents a significant public health challenge,particularly affecting young adults.This study evaluated prevalence rates and identified individual-and college-level risk factors for self-harm among college students in Jiangsu Province.Methods:Using data from the‘Surveillance for common disease and health risk factors among students in Jiangsu Province’program during 2019-2023,we employed multilevel logistic regression models to account for potential clustering within sampled colleges and to estimate odds ratios(OR)and 95%confidence intervals(CI)for person-and collegelevel factors.Dynamic analyses were conducted with repeated modeling by year.Results:Youth self-harm rates fluctuated between 2.21%and 3.83%during the study period.Self-harm was strongly associated with unhealthy lifestyles,particularly internet addiction(OR:2.50,95%CI:1.91,3.24),while regular family psychological forums were associated with decreased risk(OR:0.72,95%CI:0.55,0.95).Conclusion:Our findings emphasize the necessity of on-campus psychosocial support and highlight the importance of leveraging family-college collective resources with targeted interventions,especially for high-risk groups exhibiting unhealthy lifestyles,particularly internet addiction.
文摘Background:The number of cumulative confirmed cases of COVID-19 in the United States has risen sharply since March 2020.A county health ranking and roadmaps program has been established to identify factors associated with disparity in mobility and mortality of COVID-19 in all counties in the United States.The risk factors associated with county-level mortality of COVID-19 with various levels of prevaIence are not well understood.Methods:Using the data obtained from the County Health Rankings and Roadmaps program,this study applied a negative binomial design to the courtty-level mortality counts of COVID-19 as of August 27,2020 in the United States.In this design,the infected counties were categorized into three levels of infections using clustering analysis based on time-var ying cumulative con firmed cases from March 1 to August 27,2020.COVID-19 patients were not analyzed in dividually but were aggregated at the county-level,where the coun ty-level deaths of COVID-19 con firmed by the local health agencies.Clustering analysis and Kruskal-Wallis tests were used in our statistical analysis.
基金supported by the National Natural Science Foundation of China(No.22278127)the Fundamental Research Funds for the Central Universities(No.2022ZFJH004)the Shanghai Pilot Program for Basic Research(22T01400100-18).
文摘As artificial intelligence(AI)technology evolves,data-driven approaches are gaining attention in predicting lithium-ion battery's remaining useful life(RUL).Indeed,accurate RUL prediction is challenging,primarily because of the complex nature of the work and dynamic shifts in model parameters.To address these challenges,this article comprehensively explores five significant publicly accessible lithium-ion battery datasets,encompassing diverse usage conditions and battery types,offering researchers a rich repository of experimental data.In particular,we not only provide detailed information and access addresses for each dataset,but also present,four innovative methods for battery aging health factor extraction.These methods,based on advanced AI techniques,are able to effectively identify and quantify key indicators of battery performance degradation,thereby enhancing the precision and dependability of RUL prediction.Additionally,the article identifies major challenges faced by current predictive techniques,including data quality,model generalization capabilities,and computational cost,highlighting the need for research focused on dataset diversity,multiple algorithm fusion,and hybrid physicaldata-driven models to enhance prediction accuracy.We believe that this review will help researchers gain a comprehensive understanding of RUL estimation methods and promote the development of AI in battery.
基金Supported by the 2023 Provincial Science and Technology Innovation Strategy Project(2023A1111120013).
文摘Introduction:Classroom environments—the primary visual setting for students—may significantly influence ocular health.This study examined key modifiable factors of poor vision related to primary and junior high school classroom environments in Guangdong,China.Methods:We analyzed population-based data(of 180,584 students and 3,905 classrooms)from the Surveillance Program for Common Student Diseases and Health Risk Factors implemented in Guangdong in 2024.Multivariable logistic regression was employed to examine associations between poor vision and classroom conditions.XGBoost modeling and Shapley Additive Explanations(SHAP)were applied to rank the relative importance of environmental predictors.Results:The prevalence of poor vision was 60.22%.An unqualified desk-chair allocation compliance rate,blackboard reflectance,and desktop illuminance uniformity were independently associated with higher odds of poor vision,with adjusted odds ratios(95%confidence interval)of 1.05(1.01,1.08),1.09(1.06,1.11),and 1.05(1.02,1.08),respectively.The SHAP analysis identified blackboard reflectance as the most influential factor,followed by blackboard average illuminance,desk-chair allocation compliance rate,and desktop illuminance uniformity.Conclusions:Blackboard reflectance,desk-chair allocation compliance rate,and desktop illuminance uniformity were critical modifiable factors.A multisectoral collaboration mechanism aligned with national myopia prevention policies is recommended to ensure compliance with visual environmental standards in educational settings.
