Objective:To understand the dietary intake of high-risk population with hypertension in Haikou,and to analyze the relationship between dietary intake and blood pressure,especially the relationship between sodium intak...Objective:To understand the dietary intake of high-risk population with hypertension in Haikou,and to analyze the relationship between dietary intake and blood pressure,especially the relationship between sodium intake and blood pressure,so as to provide a scientific basis for salt reduction.Methods:A multi-stage cluster sampling 2021 was used from July to December to collect 3-4 cscs from each of the four districts in Haikou.A total of 15 cscs were collected,295 permanent residents aged 55-74 were recruited from 15 community service centers,with 20 eligible subjects from each community.The subjects underwent general physical examination,laboratory tests,and a dietary survey using the self-developed Android phone APP“Nutrition Assistant”(registration number:2021SR1547832).SPSS 21.0 was used 2 for t test,x^(2) test and multiple Regression analysis.Result:In Haikou,69.4%of the subjects had energy intake above energy requirement,and 44.8%had fat intake above the acceptable range of macronutrients.There were only differences in energy,carbohydrate,vitamin B 6 and sodium intake(t=-2.174,-1.990,2.333,-5.442,P=0.031,0.048,0.021,<0.001,respectively).There were significant differences in BMI,family history of chronic diseases,systolic blood 2 pressure and diastolic blood pressure(f value or x^(2) value were 4.260,19.045,139.916,36.864,P value were 0.015,<0.001,<0.001,<0.001,respectively).Multiple Regression analysis analysis showed that 24h sodium excretion was significantly correlated with systolic and diastolic blood pressure(t=12.964,P<0.001),systolic and diastolic blood pressure increased by 0.135 mmhg and 0.068 mmhg,respectively.Conclusion:The dietary intake of the middle-aged and elderly people at high risk of hypertension in the Haikou community was unbalanced,and the intake of sodium salt was strongly correlated with blood pressure,it is necessary to continue to promote salt reduction as one of the key ways to prevent and control hypertension.展开更多
The cardinal symptoms of severe acute respiratory syndrome coronavirus 2 infection as the pandemic began in 2020 were cough,fever,and dyspnea,thus characterizing the virus as a predominantly pulmonary disease.While it...The cardinal symptoms of severe acute respiratory syndrome coronavirus 2 infection as the pandemic began in 2020 were cough,fever,and dyspnea,thus characterizing the virus as a predominantly pulmonary disease.While it is apparent that many patients presenting acutely to the hospital with coronavirus disease 2019(COVID-19)infection have complaints of respiratory symptoms,other vital organs and systems are also being affected.In fact,almost half of COVID-19 hospitalized patients were found to have evidence of some degree of liver injury.Incidence and severity of liver injury in patients with underlying liver disease were even greater.According to the Centers of Disease Control and Prevention,from August 1,2020 to May 31,2022 there have been a total of 4745738 COVID-19 hospital admissions.Considering the gravity of the COVID-19 pandemic and the incidence of liver injury in COVID-19 patients,it is imperative that we as clinicians understand the effects of the virus on the liver and conversely,the effect of underlying hepatobiliary conditions on the severity of the viral course itself.In this article,we review the spectrum of novel studies regarding COVID-19 induced liver injury,compiling data on the effects of the virus in various age and high-risk groups,especially those with preexisting liver disease,in order to obtain a comprehensive understanding of this disease process.We also provide an update of the impact of the new Omicron variant and the changing nature of COVID-19 pathogenesis.展开更多
AIM: To define the age scope of high-risk population for esophageal cancer (EC) in Ci county. METHODS: The results of endoscopic examination of 2 013 subjects, cytological screening of 16 763 persons and records of 9 ...AIM: To define the age scope of high-risk population for esophageal cancer (EC) in Ci county. METHODS: The results of endoscopic examination of 2 013 subjects, cytological screening of 16 763 persons and records of 9 265 patients with EC were analyzed by Ridit methods, the standard age group was 45-49 year group. RESULTS: The average age of patients with moderate esophageal epithelium dysplasia by endoscopic examination was 53.5 years, of severe esophageal epithelium dysplasia, 51.4 years, early EC, 55.6 years. The average age of stage one severe epithelium dysplasia (SEEDⅠ) by cytological screening was 51.2 years, of stage two severe epithelium esophageal dysplasia (SEED Ⅱ) 51.6 years, of advanced EC 61.7 years. In the group of 40-year olds, the value of Ridit by pathological diagnosis was 0.46, 95% CI, 0.45-0.47, that by cytological diagnosis was 0.45, 95% CI, 0.43-0.47. As the age increased at five-year intervals, the value of Ridit increased significantly. CONCLUSION: In Ci county of a high incidence area of EC, the age definition of high-risk population should be above 45 years.展开更多
BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still...BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still not optimistic.In China,the incidence of CRC in the Yangtze River Delta region is increasing dramatically,but few studies have been conducted.Therefore,it is necessary to develop a simple and efficient early screening model for CRC.AIM To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC.METHODS Data of 64448 participants obtained from Ningbo Hospital,China between 2014 and 2017 were retrospectively analyzed.The cohort comprised 64448 individuals,of which,530 were excluded due to missing or incorrect data.Of 63918,7607(11.9%)individuals were considered to be high risk for CRC,and 56311(88.1%)were not.The participants were randomly allocated to a training set(44743)or validation set(19175).The discriminatory ability,predictive accuracy,and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic(ROC)curves and calibration curves and by decision curve analysis.Finally,the model was validated internally using a bootstrap resampling technique.RESULTS Seven variables,including demographic,lifestyle,and family history information,were examined.Multifactorial logistic regression analysis revealed that age[odds ratio(OR):1.03,95%confidence interval(CI):1.02-1.03,P<0.001],body mass index(BMI)(OR:1.07,95%CI:1.06-1.08,P<0.001),waist circumference(WC)(OR:1.03,95%CI:1.02-1.03 P<0.001),lifestyle(OR:0.45,95%CI:0.42-0.48,P<0.001),and family history(OR:4.28,95%CI:4.04-4.54,P<0.001)were the most significant predictors of high-risk CRC.Healthy lifestyle was a protective factor,whereas family history was the most significant risk factor.The area under the curve was 0.734(95%CI:0.723-0.745)for the final validation set ROC curve and 0.735(95%CI:0.728-0.742)for the training set ROC curve.The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population.CONCLUSION The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age,BMI,WC,lifestyle,and family history exhibited high accuracy.展开更多
Objective Asymptomatic carotid stenosis(ACS)is closely associated to the incidence of severe cerebrovascular diseases.Early identifying the individuals with ACS and its associated risk factors could be beneficial for ...Objective Asymptomatic carotid stenosis(ACS)is closely associated to the incidence of severe cerebrovascular diseases.Early identifying the individuals with ACS and its associated risk factors could be beneficial for primary prevention of stroke.This study aimed to investigate a machine-learning algorithm for the detection of ACS among high-risk population of stroke based on the associated risk factors.Methods A novel model of machine learning was utilized to screen the associated predictors of ACS based on 30 potential risk factors.The algorithm of this model adopted a random forest pattern based on the training data and then was verified using the testing data.All of the original data were retrieved from the China National Stroke Screening and Prevention Project(CNSSPP),including demographic,clinical and laboratory characteristics.The individuals with high risk of stroke were enrolled and randomly divided into a training group and a testing group at a ratio of 4:1.The identification of carotid stenosis by carotid artery duplex scans was set as the golden standard.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)was used to evaluate the efficacy of the model in detecting ACS.Results Of 2841 high risk individual of stroke enrolled,326(11.6%)were diagnosed as ACS by ultrasonography.The top five risk fectors contributing to ACS in this model were identified as family history of dyslipidemia,high level of lowdensity lipoprotein cholesterol(LDL-c),low level of high-density lipoprotein cholesterol(HDL-c),aging,and low body.展开更多
Objective: This paper aims to screen and analyze the current status of high-risk stroke patients in Shashi District of Jingzhou City and the exposure levels of related risk factors, and provides suggestions as the ref...Objective: This paper aims to screen and analyze the current status of high-risk stroke patients in Shashi District of Jingzhou City and the exposure levels of related risk factors, and provides suggestions as the references for prevention and treatment of stroke. Methods: Using cluster sampling, on-site investigations were conducted on 1060 permanent residents aged 40 years and over at 3 townships and 2 communities in Shashi District of Jingzhou City from January 2018 to December 2018. Risk assessment of stroke is based on the stroke risk screening form. Statistical analysis was performed by using SPSS 22.0 software. Results: After making a stroke risk assessment, a total of 313 high-risk stroke patients were screened, and the detection rate was 29.53%. The exposure rate of risk factors from high to low was hypertension (70.93%), dyslipidemia (46.33%), less physical exercise (46.01%), diabetes (36.10%), overweight (33.55%), smoking (33.23%), family history of stroke (24.92%), atrial fibrillation or valvular heart disease (7.35%). There are statistically significant differences among all risk factors between the high-risk group and middle and low-risk groups (P Conclusion: The detection rate of high-risk stroke patients in Shashi District of Jingzhou City is high. Hypertension, dyslipidemia and less physical exercise are the main risk factors of stroke occurrence and recurrence in the region. The prevention and treatment of risk factors for stroke should be strengthened to control the incidence and recurrence rate of stroke.展开更多
Based on the infectious disease model with disease latency, this paper proposes a new model for the rumor spreading process in online social network. In this paper what we establish an SEIR rumor spreading model to de...Based on the infectious disease model with disease latency, this paper proposes a new model for the rumor spreading process in online social network. In this paper what we establish an SEIR rumor spreading model to describe the online social network with varying total number of users and user deactivation rate. We calculate the exact equilibrium points and reproduction number for this model. Furthermore, we perform the rumor spreading process in the online social network with increasing population size based on the original real world Facebook network. The simulation results indicate that the SEIR model of rumor spreading in online social network with changing total number of users can accurately reveal the inherent characteristics of rumor spreading process in online social network.展开更多
Social zapping has gained popularity as a term that refers to canceling plans or appointments at the last minute to attend other,supposedly more appealing events.This behavior resembles rapidly switching channels on a...Social zapping has gained popularity as a term that refers to canceling plans or appointments at the last minute to attend other,supposedly more appealing events.This behavior resembles rapidly switching channels on a television,as individuals frequently jump between different social engagements.The present study examined potential behavioral trait predictors of social zapping,such as belongingness,self-esteem,sense of control,and meaningful existence among community residents ranging from 40 to 75 years of age(n=48).The study utilized simple linear regressions to identify potential predictors of social zapping,exploring how the four fundamental needs(belongingness,self-esteem,sense of control,and meaningful existence)might be linked.Results indicated that belongingness and self-esteem are significant predictors of social zapping tendencies.Additionally,an independent samples t-test was conducted to determine the relationship both older and younger adults have with the four fundamental needs as well as the role age plays in social zapping tendencies.Older adults exhibited a significant and more positive association with self-esteem,sense of control,and meaningful existence compared to individuals aged 39 and younger.Social zapping frequency was nonsignificant for both older adults and younger adults.Furthermore,a separate set of linear regression analyses were completed to determine how social desirability affects social zapping across age groups.Social desirability significantly predicted both self-esteem and meaningful existence.Overall,the present study builds on what is currently a new phenomenon in research and will provide new information on the relationship between age,social zapping,and behavioral traits.展开更多
基金National Natural Science Foundation of China(No.81860577)Graduate Innovation and Entrepreneurship Project(No.HYYS2020-02)。
文摘Objective:To understand the dietary intake of high-risk population with hypertension in Haikou,and to analyze the relationship between dietary intake and blood pressure,especially the relationship between sodium intake and blood pressure,so as to provide a scientific basis for salt reduction.Methods:A multi-stage cluster sampling 2021 was used from July to December to collect 3-4 cscs from each of the four districts in Haikou.A total of 15 cscs were collected,295 permanent residents aged 55-74 were recruited from 15 community service centers,with 20 eligible subjects from each community.The subjects underwent general physical examination,laboratory tests,and a dietary survey using the self-developed Android phone APP“Nutrition Assistant”(registration number:2021SR1547832).SPSS 21.0 was used 2 for t test,x^(2) test and multiple Regression analysis.Result:In Haikou,69.4%of the subjects had energy intake above energy requirement,and 44.8%had fat intake above the acceptable range of macronutrients.There were only differences in energy,carbohydrate,vitamin B 6 and sodium intake(t=-2.174,-1.990,2.333,-5.442,P=0.031,0.048,0.021,<0.001,respectively).There were significant differences in BMI,family history of chronic diseases,systolic blood 2 pressure and diastolic blood pressure(f value or x^(2) value were 4.260,19.045,139.916,36.864,P value were 0.015,<0.001,<0.001,<0.001,respectively).Multiple Regression analysis analysis showed that 24h sodium excretion was significantly correlated with systolic and diastolic blood pressure(t=12.964,P<0.001),systolic and diastolic blood pressure increased by 0.135 mmhg and 0.068 mmhg,respectively.Conclusion:The dietary intake of the middle-aged and elderly people at high risk of hypertension in the Haikou community was unbalanced,and the intake of sodium salt was strongly correlated with blood pressure,it is necessary to continue to promote salt reduction as one of the key ways to prevent and control hypertension.
文摘The cardinal symptoms of severe acute respiratory syndrome coronavirus 2 infection as the pandemic began in 2020 were cough,fever,and dyspnea,thus characterizing the virus as a predominantly pulmonary disease.While it is apparent that many patients presenting acutely to the hospital with coronavirus disease 2019(COVID-19)infection have complaints of respiratory symptoms,other vital organs and systems are also being affected.In fact,almost half of COVID-19 hospitalized patients were found to have evidence of some degree of liver injury.Incidence and severity of liver injury in patients with underlying liver disease were even greater.According to the Centers of Disease Control and Prevention,from August 1,2020 to May 31,2022 there have been a total of 4745738 COVID-19 hospital admissions.Considering the gravity of the COVID-19 pandemic and the incidence of liver injury in COVID-19 patients,it is imperative that we as clinicians understand the effects of the virus on the liver and conversely,the effect of underlying hepatobiliary conditions on the severity of the viral course itself.In this article,we review the spectrum of novel studies regarding COVID-19 induced liver injury,compiling data on the effects of the virus in various age and high-risk groups,especially those with preexisting liver disease,in order to obtain a comprehensive understanding of this disease process.We also provide an update of the impact of the new Omicron variant and the changing nature of COVID-19 pathogenesis.
基金Supported by the National Eighth five-year and tenth five year key Scientific Project, No. 85-914-01-02, 2001BA703B10
文摘AIM: To define the age scope of high-risk population for esophageal cancer (EC) in Ci county. METHODS: The results of endoscopic examination of 2 013 subjects, cytological screening of 16 763 persons and records of 9 265 patients with EC were analyzed by Ridit methods, the standard age group was 45-49 year group. RESULTS: The average age of patients with moderate esophageal epithelium dysplasia by endoscopic examination was 53.5 years, of severe esophageal epithelium dysplasia, 51.4 years, early EC, 55.6 years. The average age of stage one severe epithelium dysplasia (SEEDⅠ) by cytological screening was 51.2 years, of stage two severe epithelium esophageal dysplasia (SEED Ⅱ) 51.6 years, of advanced EC 61.7 years. In the group of 40-year olds, the value of Ridit by pathological diagnosis was 0.46, 95% CI, 0.45-0.47, that by cytological diagnosis was 0.45, 95% CI, 0.43-0.47. As the age increased at five-year intervals, the value of Ridit increased significantly. CONCLUSION: In Ci county of a high incidence area of EC, the age definition of high-risk population should be above 45 years.
基金Supported by the Project of NINGBO Leading Medical Health Discipline,No.2022-B11Ningbo Natural Science Foundation,No.202003N4206Public Welfare Foundation of Ningbo,No.2021S108.
文摘BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still not optimistic.In China,the incidence of CRC in the Yangtze River Delta region is increasing dramatically,but few studies have been conducted.Therefore,it is necessary to develop a simple and efficient early screening model for CRC.AIM To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC.METHODS Data of 64448 participants obtained from Ningbo Hospital,China between 2014 and 2017 were retrospectively analyzed.The cohort comprised 64448 individuals,of which,530 were excluded due to missing or incorrect data.Of 63918,7607(11.9%)individuals were considered to be high risk for CRC,and 56311(88.1%)were not.The participants were randomly allocated to a training set(44743)or validation set(19175).The discriminatory ability,predictive accuracy,and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic(ROC)curves and calibration curves and by decision curve analysis.Finally,the model was validated internally using a bootstrap resampling technique.RESULTS Seven variables,including demographic,lifestyle,and family history information,were examined.Multifactorial logistic regression analysis revealed that age[odds ratio(OR):1.03,95%confidence interval(CI):1.02-1.03,P<0.001],body mass index(BMI)(OR:1.07,95%CI:1.06-1.08,P<0.001),waist circumference(WC)(OR:1.03,95%CI:1.02-1.03 P<0.001),lifestyle(OR:0.45,95%CI:0.42-0.48,P<0.001),and family history(OR:4.28,95%CI:4.04-4.54,P<0.001)were the most significant predictors of high-risk CRC.Healthy lifestyle was a protective factor,whereas family history was the most significant risk factor.The area under the curve was 0.734(95%CI:0.723-0.745)for the final validation set ROC curve and 0.735(95%CI:0.728-0.742)for the training set ROC curve.The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population.CONCLUSION The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age,BMI,WC,lifestyle,and family history exhibited high accuracy.
基金Fund supported by the Medical Science and Tech no logy Development Foundatio n(YKK18114)the Gen era I Social Development Medical and Health Project of Nanjing Science and Technology Commission(201803029).
文摘Objective Asymptomatic carotid stenosis(ACS)is closely associated to the incidence of severe cerebrovascular diseases.Early identifying the individuals with ACS and its associated risk factors could be beneficial for primary prevention of stroke.This study aimed to investigate a machine-learning algorithm for the detection of ACS among high-risk population of stroke based on the associated risk factors.Methods A novel model of machine learning was utilized to screen the associated predictors of ACS based on 30 potential risk factors.The algorithm of this model adopted a random forest pattern based on the training data and then was verified using the testing data.All of the original data were retrieved from the China National Stroke Screening and Prevention Project(CNSSPP),including demographic,clinical and laboratory characteristics.The individuals with high risk of stroke were enrolled and randomly divided into a training group and a testing group at a ratio of 4:1.The identification of carotid stenosis by carotid artery duplex scans was set as the golden standard.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)was used to evaluate the efficacy of the model in detecting ACS.Results Of 2841 high risk individual of stroke enrolled,326(11.6%)were diagnosed as ACS by ultrasonography.The top five risk fectors contributing to ACS in this model were identified as family history of dyslipidemia,high level of lowdensity lipoprotein cholesterol(LDL-c),low level of high-density lipoprotein cholesterol(HDL-c),aging,and low body.
文摘Objective: This paper aims to screen and analyze the current status of high-risk stroke patients in Shashi District of Jingzhou City and the exposure levels of related risk factors, and provides suggestions as the references for prevention and treatment of stroke. Methods: Using cluster sampling, on-site investigations were conducted on 1060 permanent residents aged 40 years and over at 3 townships and 2 communities in Shashi District of Jingzhou City from January 2018 to December 2018. Risk assessment of stroke is based on the stroke risk screening form. Statistical analysis was performed by using SPSS 22.0 software. Results: After making a stroke risk assessment, a total of 313 high-risk stroke patients were screened, and the detection rate was 29.53%. The exposure rate of risk factors from high to low was hypertension (70.93%), dyslipidemia (46.33%), less physical exercise (46.01%), diabetes (36.10%), overweight (33.55%), smoking (33.23%), family history of stroke (24.92%), atrial fibrillation or valvular heart disease (7.35%). There are statistically significant differences among all risk factors between the high-risk group and middle and low-risk groups (P Conclusion: The detection rate of high-risk stroke patients in Shashi District of Jingzhou City is high. Hypertension, dyslipidemia and less physical exercise are the main risk factors of stroke occurrence and recurrence in the region. The prevention and treatment of risk factors for stroke should be strengthened to control the incidence and recurrence rate of stroke.
基金Supported by National Natural Science Foundation of China under Grant Nos.11275017 and 11173028
文摘Based on the infectious disease model with disease latency, this paper proposes a new model for the rumor spreading process in online social network. In this paper what we establish an SEIR rumor spreading model to describe the online social network with varying total number of users and user deactivation rate. We calculate the exact equilibrium points and reproduction number for this model. Furthermore, we perform the rumor spreading process in the online social network with increasing population size based on the original real world Facebook network. The simulation results indicate that the SEIR model of rumor spreading in online social network with changing total number of users can accurately reveal the inherent characteristics of rumor spreading process in online social network.
文摘Social zapping has gained popularity as a term that refers to canceling plans or appointments at the last minute to attend other,supposedly more appealing events.This behavior resembles rapidly switching channels on a television,as individuals frequently jump between different social engagements.The present study examined potential behavioral trait predictors of social zapping,such as belongingness,self-esteem,sense of control,and meaningful existence among community residents ranging from 40 to 75 years of age(n=48).The study utilized simple linear regressions to identify potential predictors of social zapping,exploring how the four fundamental needs(belongingness,self-esteem,sense of control,and meaningful existence)might be linked.Results indicated that belongingness and self-esteem are significant predictors of social zapping tendencies.Additionally,an independent samples t-test was conducted to determine the relationship both older and younger adults have with the four fundamental needs as well as the role age plays in social zapping tendencies.Older adults exhibited a significant and more positive association with self-esteem,sense of control,and meaningful existence compared to individuals aged 39 and younger.Social zapping frequency was nonsignificant for both older adults and younger adults.Furthermore,a separate set of linear regression analyses were completed to determine how social desirability affects social zapping across age groups.Social desirability significantly predicted both self-esteem and meaningful existence.Overall,the present study builds on what is currently a new phenomenon in research and will provide new information on the relationship between age,social zapping,and behavioral traits.
