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Objective To analyze the relationship between follow-up service, personal characteristics, lifestyle and blood sugar management of diabetic patients in Gansu Province, and put forward scientific suggestions on influencing blood sugar management of diabetic patients. Methods Based on the data of the 6th National Health Service Questionnaire, 273 subjects were included. Chi-square test and unconditional logistic regression were used to analyze the blood glucose control and its influencing factors of diabetic patients. Results A total of 39.56% patients' blood sugar status was well controlled. 76.92% patients signed up for family doctor service, and 77.66% patients took hypoglycemic drugs according to the law of doctor's advice. There were significant differences in blood sugar control among patients in different regions, educational levels and occupational types (P <0.05) , logistic regression analysis showed that Hui patients (OR=0.21), doctors without family contract (OR=2.86) and patients taking hypoglycemic drugs intermittently (OR = 6.58). Conclusion The blood sugar control rate of diabetic patients in Gansu is low, and the nationality, contracted family doctors and medication plan affect the blood sugar control level of patients. In order to ensure the high efficiency of follow-up treatment, the related follow-up services provided by primary medical institutions, it is necessary to provide self-management programs that meet the individual characteristics and meet the needs of the disease.
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Objective@#To study the distribution and related factors of curative care expenditure (CCE) of injury in Gansu Province in 2017.@*Methods@#Based on the "A System of Health Accounts 2011 (SHA 2011)", the curative care expenditure of injury in Gansu Province was calculated and analyzed. The five-stage stratified cluster sampling method was adopted to extract 149 medical and health institutions, 120 township hospitals (including community health service centers), 150 individual clinics and 600 village clinics (including community health service stations). The top-down allocation method was used to calculate the cost of injury treatment in Gansu Province, and the influencing factors were analyzed by multiple linear regression.@*Results@#In 2017, the CCE of injury in Gansu province was 3.831 billion yuan, and the expense in general hospitals was 2.708 billion yuan. Among them, the cost of lower limb injury and head injury were 1.090 and 0.847 billion yuan. People aged 40 to 69 years old spent 1.901 billion yuan on injury treatment, and the CCE of injury treatment for men and women were 2.422 and 1.409 billion yuan respectively. The results of multiple linear regression showed that hospitalization expenditure was significantly associated with length of stay, operation, hospital grade, age, payment method and gender (P<0.001).@*Conclusion@#The economic burden of injury in Gansu Province is relatively heavy, so it is necessary to focus on preventions for different groups and costly injury sites.
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Objective@#To investigate the incidence and rank of chronic obstructive pulmonary disease and pneumoconiosis to the workers in different occupational positions in Jinchang Cohort.@*Methods@#In January 2014, a cohort of follow-up population in jinchang city was taken as the research object, 17843 individuals among follow-up populations in Jinchang Cohort Study, removed the individuals with chronic obstructive pulmonary disease and pneumoconiosis before 2013, and counted the new incidence individuals diagnosed by the A-Class hospital in Grade III in Jinchang City, Gansu Province, as the investigation objects to investigate the incidence rate & rank of chronic obstructive pulmonary disease and pneumoconiosis. The statistical significance was tested by chi-square test.@*Results@#The 2-year incidence rate of Chronic Obstructive Pulmonary Disease and Pneumoconiosis in the population of Jinchang Cohort Study were 11.60‰, 13.51‰ for male and 8.46‰ for female. the ranks of 2-year incidence rates of chronic bronchitis, emphysema, pneumoconiosis and other phenotypes of chronic obstructive pulmonary disease were 7.06‰、3.42‰、0.84‰、0.34‰, respectively. Incidence rate of chronic bronchitis among administrators and executive staffs were 10.45‰; incidence rate of chronic bronchitis among service staffs were 10.45‰; incidence rate of pneumoconiosis among mining staffs were 3.44‰.@*Conclusion@#The first incidence rank of chronic obstructive pulmonary disease and pneumoconiosis in Jinchang cohort is chronic bronchitis, and the risk factors are smoking and occupational exposure.
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Objective: To explore the association between fatty liver and type 2 diabetes mellitus (T2DM) in the baseline-population of Jinchang cohort study. Methods: Data from all the participants involved in the baseline-population of Jinchang cohort study was used, to compare the risks of T2DM in fatty liver and non fatty liver groups and to explore the interaction between family history or fatty liver of diabetes and the prevalence of T2DM. Results: Among all the 46 861 participants, 10 574 were diagnosed as having fatty liver (22.56%), with the standardized rate as 20.66%. Another 3 818 participants were diagnosed as having T2DM (8.15%) with standardized rate as 6.90%. The prevalence of T2DM increased in parallel with the increase of age (trend χ(2)=2 833.671, trend P<0.001). The prevalence of T2DM in the fatty liver group was significantly higher than that in the non-fatty liver group, both in men or women and in the overall population. Compared with the group of non-fatty liver, the risks of T2DM in fatty liver group were seen 1.78 times higher in males, 2.33 times in women and 2.10 times in the overall population, after adjustment for factors as age, levels of education, smoking, drinking, physical exercise, BMI, family history of diabetes and some metabolic indicators (pressure, TC, TG, uric acid, ALT, AST, gamma-glutamyl transferase). Date from the interaction model showed that fatty liver and family history of diabetes present a positive additive interaction on T2DM (RERI=1.18, 95%CI: 0.59-1.78; AP=0.24, 95%CI: 0.14-0.34; S=1.43, 95%CI: 1.21-1.69). Conclusions: Fatty liver could significantly increase the risk of T2DM and a positive additive interaction was also observed between fatty liver and family history of diabetes on T2DM. It was important to strengthen the prevention program on T2DM, in order to effectively control the development of fatty liver.
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Female , Humans , Male , China/epidemiology , Cohort Studies , Diabetes Mellitus, Type 2/ethnology , Fatty Liver/ethnology , Non-alcoholic Fatty Liver Disease/epidemiology , Prevalence , Risk FactorsРеферат
Objective To explore the association between fatty liver and type 2 diabetes mellitus (T2DM) in the baseline-population of Jinchang cohort study.Methods Data from all the participants involved in the baseline-population of Jinchang cohort study was used,to compare the risks of T2DM in fatty liver and non fatty liver groups and to explore the interaction between family history or fatty liver of diabetes and the prevalence of T2DM.Results Among all the 46 861 participants,10 574 were diagnosed as having fatty liver (22.56%),with the standardized rate as 20.66%.Another 3 818 participants were diagnosed as having T2DM (8.15%) with standardized rate as 6.90%.The prevalence of T2DM increased in parallel with the increase of age (trendx2 =2 833.671,trend P< 0.001).The prevalence of T2DM in the fatty liver group was significantly higher than that in the non-fatty liver group,both in men or women and in the overall population.Compared with the group of non-fatty liver,the risks of T2DM in fatty liver group were seen 1.78 times higher in males,2.33 times in women and 2.10 times in the overall population,after adjustment for factors as age,levels of education,smoking,drinking,physical exercise,BMI,family history of diabetes and some metabolic indicators (pressure,TC,TG,uric acid,ALT,AST,gamma-glutamyl transferase).Date from the interaction model showed that fatty liver and family history of diabetes present a positive additive interaction on T2DM (RERI=1.18,95%CI:0.59-1.78;AP=0.24,95%CI:0.14-0.34;S=1.43,95%CI:1.21-1.69).Conclusions Fatty liver could significantly increase the risk of T2DM and a positive additive interaction was also observed between fatty liver and family history of diabetes on T2DM.It was important to strengthen the prevention program on T2DM,in order to effectively control the development of fatty liver.
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Objective To reduce the cancer burden in the Jinchang cohort and provide evidence for developing cancer prevention strategies and performing effectiveness evaluation in the Jinchang cohort.We are fitting thirteen years of cancer mortality data from the Jinchang cohort by using six kinds of predicting methods to compare relative fitness and to select good predicting methods for the prediction of cancer mortality trends.Methods The mortality data of cancer in Jinchnag cohort from 2001-2013 were fitted using six kinds of predicting methods:dynamic series,linear regression,exponential smoothing,autoregressive integrated moving average (ARIMA) model,grey model (GM),and Joinpoint regression.Weight coefficients of combination models were calculated by four methods:the arithmetic average method,the variance inverse method,the mean square error inverse method,and the simple weighted average method.Results The cancer mortality was fitted and compared by using six kinds of forecasting methods;the fitting precision of the Joinpoint linear regression had the highest accuracy (87.64%),followed by linear regression (87.32%),the dynamic series (86.99%),GM (1,1) (86.25%),exponential smoothing (85.72%) and ARIMA (1,0,0) (81.98%),respectively.Prediction accuracy of the combination model derived from GM (1,1) and linear regression (>99%) was higher than that of the combination model derived from ARIMA (1,0,0) and GM (1,1).The combination model derived from the GM (1,1) and linear regression,with weight coefficients based on the arithmetic average method and the mean square error inverse method,had the best prediction effect of the four weight calculation methods.Conclusion Prediction accuracy of the combination model,with accuracy >95%,was higher than that of the single prediction methods.
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Objective To explore the incidence and risk factors of gout in Jinchang cohort and provide scientific evidence for the prevention and control of gout.Methods People without gout detected by baseline survey in Jinchang cohort were selected as study subjects.All the subjects were followed up through questionnaire interview,physical examination as well as laboratory test from January 24,2013 to November 24,2015.Cox regression model was used to analyze the risk factors for gout in Jinchang cohort.In addition,log-linear model was used to analyze the interaction between risk factors.Results A total of 33 153 subjects were followed up,and there were 277 newly diagnosed gout cases in the cohort.The overall incidence of gout was 0.8%.The incidence of gout in males was higher than that in the females,but the incidence of gout in males and females was similar after the age of 60 years.Cox regression analysis showed that age >40 years (at age 40 to 59 years:HR=2.982,95%CI:1.503-5.981;at age 60 to 91 years:HR=2.588,95%CI:1.107-6.049),alcohol abuse (HR=2.234,95%CI:1.128-4.427),obesity (HR=2.204,95%CI:1.216-3.997),diabetes (HR=2.725,95%CI:1.500-4.950) and high uric acid (HR=5.963,95%CI:3.577-9.943) were risk factors for gout,while weekly beans intake ≥0.25 kg (HR=0.528,95%CI:0.345-0.808) and regular physical exercise (HR=0.499,95% CI:0.286-0.869) were protective factors for gout.The analysis with log-linear model showed that there were two order effects between the risk factors.Conclusions Age,beans intake,alcohol abuse,physical exercises,obesity,diabetes and high uric acid were important factors influencing the incidence of gout.It is important to have healthy lifestyle and dietary habits,receive regular health examination to prevent and control the incidence of gout in this cohort.
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Objective To explore the current situation and influencing factors on Classroom Mobile Phone Dependence Syndrome (CMPDS) among college students,and to provide scientific basis for guiding college students to use mobile phones reasonably and healthily.Methods Stratified cluster sampling method was used.Students from different majors and different grades in Lanzhou University were included as the research objects.Classes were recognized as a unit in receiving basic field investigation in this questionnaire related study.Informed consent principles were followed and process of survey was anonymously carried out.Results The overall rate of CMPDS in college students was 8.7%,including ‘mild rate'as 6.6% and ‘seriously mild rate'as 2.1%.No significant differences were found on genders or grades.Factors as shopping in the classroom shopping (OR=3.720),being bored on courses (OR=1.740),WiFi coverage (OR=1.787),time of practice in the classrooms (OR=1.514),and the total time of daily mobile phone use (OR=1.513) etc,appeared as risk factors related to CMPDS among the college students.However.shooting courseware (OR=0.579) appeared as a protective factor.Conclusions Rate of CMPDS was high in college students and we suggested to form a joint task force among the college authority,teachers and students to work on the related problems.Hopefully,the serious CMPDS condition will be minimized and both physical and mental health of the college students be improved.
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Objective To reduce the cancer burden in the Jinchang cohort and provide evidence for developing cancer prevention strategies and performing effectiveness evaluation in the Jinchang cohort.We are fitting thirteen years of cancer mortality data from the Jinchang cohort by using six kinds of predicting methods to compare relative fitness and to select good predicting methods for the prediction of cancer mortality trends.Methods The mortality data of cancer in Jinchnag cohort from 2001-2013 were fitted using six kinds of predicting methods:dynamic series,linear regression,exponential smoothing,autoregressive integrated moving average (ARIMA) model,grey model (GM),and Joinpoint regression.Weight coefficients of combination models were calculated by four methods:the arithmetic average method,the variance inverse method,the mean square error inverse method,and the simple weighted average method.Results The cancer mortality was fitted and compared by using six kinds of forecasting methods;the fitting precision of the Joinpoint linear regression had the highest accuracy (87.64%),followed by linear regression (87.32%),the dynamic series (86.99%),GM (1,1) (86.25%),exponential smoothing (85.72%) and ARIMA (1,0,0) (81.98%),respectively.Prediction accuracy of the combination model derived from GM (1,1) and linear regression (>99%) was higher than that of the combination model derived from ARIMA (1,0,0) and GM (1,1).The combination model derived from the GM (1,1) and linear regression,with weight coefficients based on the arithmetic average method and the mean square error inverse method,had the best prediction effect of the four weight calculation methods.Conclusion Prediction accuracy of the combination model,with accuracy >95%,was higher than that of the single prediction methods.
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Objective To explore the incidence and risk factors of gout in Jinchang cohort and provide scientific evidence for the prevention and control of gout.Methods People without gout detected by baseline survey in Jinchang cohort were selected as study subjects.All the subjects were followed up through questionnaire interview,physical examination as well as laboratory test from January 24,2013 to November 24,2015.Cox regression model was used to analyze the risk factors for gout in Jinchang cohort.In addition,log-linear model was used to analyze the interaction between risk factors.Results A total of 33 153 subjects were followed up,and there were 277 newly diagnosed gout cases in the cohort.The overall incidence of gout was 0.8%.The incidence of gout in males was higher than that in the females,but the incidence of gout in males and females was similar after the age of 60 years.Cox regression analysis showed that age >40 years (at age 40 to 59 years:HR=2.982,95%CI:1.503-5.981;at age 60 to 91 years:HR=2.588,95%CI:1.107-6.049),alcohol abuse (HR=2.234,95%CI:1.128-4.427),obesity (HR=2.204,95%CI:1.216-3.997),diabetes (HR=2.725,95%CI:1.500-4.950) and high uric acid (HR=5.963,95%CI:3.577-9.943) were risk factors for gout,while weekly beans intake ≥0.25 kg (HR=0.528,95%CI:0.345-0.808) and regular physical exercise (HR=0.499,95% CI:0.286-0.869) were protective factors for gout.The analysis with log-linear model showed that there were two order effects between the risk factors.Conclusions Age,beans intake,alcohol abuse,physical exercises,obesity,diabetes and high uric acid were important factors influencing the incidence of gout.It is important to have healthy lifestyle and dietary habits,receive regular health examination to prevent and control the incidence of gout in this cohort.
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Objective To explore the current situation and influencing factors on Classroom Mobile Phone Dependence Syndrome (CMPDS) among college students,and to provide scientific basis for guiding college students to use mobile phones reasonably and healthily.Methods Stratified cluster sampling method was used.Students from different majors and different grades in Lanzhou University were included as the research objects.Classes were recognized as a unit in receiving basic field investigation in this questionnaire related study.Informed consent principles were followed and process of survey was anonymously carried out.Results The overall rate of CMPDS in college students was 8.7%,including ‘mild rate'as 6.6% and ‘seriously mild rate'as 2.1%.No significant differences were found on genders or grades.Factors as shopping in the classroom shopping (OR=3.720),being bored on courses (OR=1.740),WiFi coverage (OR=1.787),time of practice in the classrooms (OR=1.514),and the total time of daily mobile phone use (OR=1.513) etc,appeared as risk factors related to CMPDS among the college students.However.shooting courseware (OR=0.579) appeared as a protective factor.Conclusions Rate of CMPDS was high in college students and we suggested to form a joint task force among the college authority,teachers and students to work on the related problems.Hopefully,the serious CMPDS condition will be minimized and both physical and mental health of the college students be improved.
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Objective To investigate influencing factors of brucellosis infection in occupational population in Gansu Province.Methods In Jingyuan County of Gansu Province,using the case-control method,the cases were collected through "National Disease Surveillance Information Reporting Management System",the case group was confirmed as brucellosis professionals after laboratory tests were positive in 2013-2015 (203 cases),and the control group was confmmed as occupations without brucellosis (809 cases) in the same periods.Information on general sociological characteristics and occupational exposure characteristic was collected,non-conditional Logistic regression analysis was used for analyzing influence factors of brucellosis.Results A total of 1 012 questionnaires were collected,among them,203 were case group and 809 were control group.Logistic regression analysis showed that,captive (OR =1.971,95%CI:1.193-3.256),type of water source (lage,OR =1.610,95%CI:1.392-1.950),often stripping the dead lamb (OR =2.027,95 % CI:1.272-3.231),processing abortion material (throwing away,feeding the dog,stripping;OR =2.120,1.176,2.160;95%CI:1.274-3.731,1.148-2.134,1.548-4.671),often eating dead meat (OR =2.497,95%CI:1.438-4.339),Hui nationality (OR =1.202,95%CI:1.061-1.995),household income less than 10 000 yuan (OR =3.857,95%CI:1.593-9.336),work experience 1-4 years (OR =2.892,95%CI:1.838-4.552) were major risk factors for occupational persons suffering from brucellosis.Livestock was sheep or sheep and goats (OR =0.412,0.277,95%CI:0.217-0.782,0.107-0.720),married(OR =0.124,95%CI:0.016-0.979),wearing gloves and mask when exposed to livestock or livestock lambing (OR =0.455,95%CI:0.230-0.899),and livestock vaccination (OR =0.283,95%CI:0.107-0.747) were protective factors for occupational infection of brucellosis.Conclusions The poor living habits and behaviors of professional people in Jingyuan County of Gansu Province are the main causes of the disease.Among them,captive,often stripping the dead lamb,processing abortion material,eating dead meat are the risk factors for brucella infection.Wearing masks and gloves when livestock lambing,and livestock vaccination are important means in avoiding brucellosis infection.
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Objective To analyze the knowledge and perceptions of brucellosis and human behavior in different populations in Jingyuan County Gansu Province,and to provide a scientific basis for carrying out health education and prevention accurately on brucellosis.Methods In 2015,using two-stage cluster sampling method,nine towns with more accumulative incidence of brucellosis in the past 3 years in Jingyuan Country were selected,5 villages were selected from each town,occupational exposure and patients with brucellosis were selected in each village as respondents.A questionnaire survey was carried out to collect basic information,brucellosis related knowledge,population's behavio.Results The overall awareness rate of prevention and control knowledge on brucellosis was 44.10% (12 943/29 348),included 809 people with the occupation exposure population and 203 patients with brucellosis,among them,the rate of patients with brucellosis knowledge was 50.40% (2 967/5 887),occupational exposure population was 42.52% (9 976/23 461);There were significant differences in the awareness rate of knowledge on prevention and control of brucellosis in population of different gender,age,education and years of work experience (x2 =84.413,166.100,207.200,16.822,P < 0.01);of the following parameters:shared water,peel dead lamb,How to deal with flow products,treatment of abortion without gloves,masks,not wearing gloves,masks when lambing ,to give livestock vaccines and drugs,eat dead cow,lamb,and sale of diseased,dead livestock,slaughter livestock,there were statistical significant differences between patients with brucellosis and exposure people (x2 =13.940,27.965,30.031,19.575,22.597,21.139,14.524,436.450,8.482,P < 0.05).Conclusions The occupational exposure population has a low knowledge awareness rate;high risk behaviors have higher risk of brucellosis infection in Jingyuan County.We should carry out health education and high-risk behavior intervention in targeted population.
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<p><b>OBJECTIVE</b>To evaluate the disease burden of colorectal cancer in Jinchang cohort, and provide evidence for preventing colorectal cancer and reducing the disease burden of colorectal cancer in the cohort.</p><p><b>METHODS</b>The colorectal cancer mortality data from 2001 to 2013 and the medical records of colorectal cancer patients from 2001 to 2010 were collected for this retrospective cohort study. The colorectal cancer disease burden was described by using mortality rate, standardized mortality rate, medical expenditure, potential years of life lost (PYLL), average potential years of life lost (APYLL), working potential years of life lost (WPYLL), and average working potential years of life lost (AWPYLL). The development trend in disease burden of colorectal cancer was analyzed by using Spearman correlation and the average growth rate.</p><p><b>RESULTS</b>The crude mortality rate of colorectal cancer from 2001 to 2013 was 9.53/100,000 with the average annual growth rate of 12.89%. The PYLL, APYLL, WPYLL and AWPYLL of colorectal cancer were 485.00 person-years, 9.15 years, 253.00 person-years, and 4.77 years, respectively. The direct medical expenditure due to colorectal cancer was 7064.38 Yuan per case and 408.43 Yuan per day. There was no increasing trend in the direct medical expenditure due to colorectal cancer.</p><p><b>CONCLUSION</b>Colorectal cancer mortolity rate was on the rise and it caused heavy disease burden in Jinchang cohort.</p>
Тема - темы
Humans , China , Epidemiology , Colorectal Neoplasms , Economics , Mortality , Cost of Illness , Health Expenditures , Retrospective StudiesРеферат
<p><b>OBJECTIVE</b>To understand the current status of the disease burden of liver cancer in Jinchang cohort.</p><p><b>METHODS</b>All the liver cancer death data from 2001 to 2013 and medical records of liver cancer cases from 2001 to 2010 in Jinchang cohort were collected for the analyses of the mortality, standardized mortality, potential years of life lost (PYLL) and working PYLL (WPYLL) associated with liver cancer. Spearman correlation and the average growth rate were used to analyze the trends.</p><p><b>RESULTS</b>A total of 207 liver cancer deaths occurred in Jinchang cohort from 2001 to 2013, accounting for 16.68% of total cancer deaths. There were 259 liver cancer inpatients, accounting for 6.79% of the total cancer cases inpatients, in which 83 died (32.05%). Liver cancer death mainly occurred in males, accounting for 88.89%, and the liver cancer deaths in females accounted for 11.11%. The standardized mortality rate was 42.32/100,000 in males and 15.31/100,000 in females. The growth rate of liver cancer mortality was 5.62% from 2001 to 2013. Liver cancer deaths mainly occurred in age groups 60-69 years (26.57%) and 50-59 years (24.15%). The PYLL was 2906.76 person-years, the average PYLL was 14.04 years. The WPYLL was 1477.00 person-years and the average WPYLL was 7.14 years. The direct economic burden of liver cancer was 6270.78 Yuan per person, 301.75 Yuan per day. The average stay of hospitalization was 21.32 days.</p><p><b>CONCLUSION</b>The mortality rate of liver cancer is increasing and the disease burden is still heavy.</p>
Тема - темы
Aged , Female , Humans , Male , Middle Aged , China , Epidemiology , Cohort Studies , Cost of Illness , Hospitalization , Economics , Liver Neoplasms , Economics , MortalityРеферат
<p><b>OBJECTIVE</b>To understand the current status of disease burden caused by gastric cancer in Jinchang cohort.</p><p><b>METHODS</b>In this historical cohort study, the data of gastric cancer deaths from 2001 to 2013 and the medical records of gastric cancer cases from 2001 to 2010 in Jinchang cohort were collected to analyze the mortality, potential years of life lost (PYLL), working PYLL (WPYLL) associated with gastric cancer, and the medical expenditure data were used to evaluate the direct economic burden. Spearman correlation analysis and the average growth rate were used to describe the change trend of disease burden of gastric cancer.</p><p><b>RESULTS</b>A total of 213 gastric cancer deaths occurred in Jinchang cohort from 2001 to 2013. The average annual crude mortality rate of gastric cancer was 38.30 per 100,000 in Jinchang cohort during 2001-2013 and no obvious change was observed. The crude mortality rate in males was 6.84 times higher than that in females. Gastric cancer death mainly occurred in age group 50-79 years (82.62%), while the mortality rates was increasing among the people under 50 years with an average annual increase rate of 0.77%. The annual average PYLL (APYLL) and average WPYLL (AWPYLL) caused by gastric cancer decreased by 8.43% and 10.46%, respectively. No obvious change in medical expenditure of gastric cancer cases was observed in Jinchang Cohort during 2001-2010, and the medical expenditure and average daily cost of hospitalization were 8102.23 Yuan, and 463.45 Yuan per capita, respectively.</p><p><b>CONCLUSIONS</b>The burden of disease for gastric cancer was heavy in Jinchang cohort. The PYLL and WPYLL had no change, while the APYLL and AWPYLL showed a increasing trend during the last ten years. Direct economic burden of inpatients with gastric cancer had no change.</p>
Тема - темы
Aged , Female , Humans , Male , Middle Aged , China , Epidemiology , Cohort Studies , Cost of Illness , Health Expenditures , Hospitalization , Economics , Stomach Neoplasms , Economics , MortalityРеферат
<p><b>OBJECTIVE</b>To understand the disease burden caused by cancers in Jinchang cohort, and develop effective strategies for cancer prevention and control in this population.</p><p><b>METHODS</b>The cancer mortality data from 2001 to 2013 and the medical records for cancer patients from 2001 to 2010 in Jinchang cohort were collected. The disease burden caused by cancer was analyzed by using mortality rate, potential years of life lost (PYLL), working PYLL (WPYLL), and direct economic burden.</p><p><b>RESULTS</b>During 2001-2013, in Jinchang cohort, the five leading cancers ranked by mortality rate were lung cancer (78.06/100,000), gastric cancer (38.03/100,000), liver cancer (37.23/100,000), esophageal cancer (19.06/100,000), and colorectal cancer (9.53/100,000). The five leading cancers in terms of PYLL (person-years) and WPYLL (person-years) were lung cancer (3480.33, 1161.00), liver cancer (2809.03, 1475.00), gastric cancer (2120.54, 844.00), esophageal cancer (949.61, 315.00), and colorectal cancer (539.90, 246.00). From 2001 to 2010, the five leading cancers in term of average daily cost of hospitalization were gastric cancer (8,102.23 Yuan), esophageal cancer (7135.79 Yuan), colorectal cancer (7064.38 Yuan), breast cancer (6723.53 Yuan), and lung cancer (6309.39 Yuan).</p><p><b>CONCLUSIONS</b>The cancers common causing higher disease burden in Jinchang cohort were lung cancer, gastric cancer, liver cancer, esophageal cancer and colorectal cancer. The lung cancer disease burden was the highest.</p>
Тема - темы
Female , Humans , Male , Breast Neoplasms , Economics , Mortality , China , Epidemiology , Cohort Studies , Colorectal Neoplasms , Economics , Mortality , Cost of Illness , Esophageal Neoplasms , Economics , Mortality , Hospitalization , Economics , Liver Neoplasms , Economics , Mortality , Lung Neoplasms , Economics , Mortality , Neoplasms , Economics , Mortality , Stomach Neoplasms , Economics , MortalityРеферат
<p><b>OBJECTIVE</b>The purpose of this study was to explore the spatial distribution and spatial clustering of hand-foot-mouth disease (HFMD) in Gansu, 2012.</p><p><b>METHODS</b>Spatial autocorrelation and Spatial scanning analysis were used to conduct spatial statistical analyses for the HFMD at the county/district level.</p><p><b>RESULTS</b>HFMD cases did not show a random distribution but with significant spatial aggregation. When Local Autocorrelation analysis was applied at the county/district level, with nine hot spot areas as Jiayuguan, Yumen, Dunhuang, Jinta, Suzhou, Chengguan, Anning, Xigu and Gaolan, were discovered. Four statistically significant HFMD clusters were identified by spatial scan statistics.</p><p><b>CONCLUSION</b>HFMD was noticed geographically clustered in Gansu in 2012. Results from this study indicated that the spatial autocorrelation and spatial scanning analysis could effectively detect the areas which presenting significant clusters. Cluster Detection System (CDS) could provide evidence for the development of an effective measure concerning the prevention and control of HFMD.</p>
Тема - темы
Humans , China , Epidemiology , Cluster Analysis , Hand, Foot and Mouth Disease , Epidemiology , Spatial AnalysisРеферат
Objective To analyze the clinical application value of serum homocysteine(Hcy) detection in diagnosing acute myo-cardial infarction .Methods 78 cases of acute myocardial infarction in the hospital from January to December 2013 were selected as the acute myocardial infarction group ,69 cases of unstable angina as the unstable angina group and contemporaneous 78 healthy per-sons undergoing the physical examination as the control group .The serum Hcy ,myoglobin and creatine kinase isoenzyme were de-tected and the detection results were performed the statistical analysis .Results The serum Hcy levels and the positive rate in the a-cute myocardial infarction group were significantly higher than those in the unstable angina group (P0 .05) .The serum Hcy concentration and the positive rate in the acute myocardial infarction group and the unstable angina group were higher than those in the control group(P<0 .05) .The ROC curve analysis showed that the efficiency for diagnosing acute my-ocardial infarction from high to low in turn was MYO ,Hcy and CK-MB .Conclusion Serum Hcy may be used as a routine index for diagnosing acute myocardial infarction ,which has certain clinical value for the condition monitoring and prognosis of the disease ,and also has certain clinical significance for the differential diagnosis between acute myocardial infarction and unstable angina .
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Objective To explore the change of serum high-sensitivity cardiac troponin T(hs-cTnT),myoglobin(MYO),creatine kinase isoenzyme(CK-MB)mass(CK-MB mass)and N-terminal pro-brain natriuretic peptide(NT-proBNP)levels in the patients with renal dysfunction.Methods The inpatients with renal dysfunction(excluding cardiac and skeletal muscle diseases)in our hos-pital were collected and divided into the compensation period group(30 cases),decompensation period group(24 cases)and uremia group(22 cases)according to serum urea and creatine concentration,and 36 healthy individuals were selected as the control group. Venous blood was collected on an empty stomach and separated for obtaining serum.Serum levels of hs-cTnT,MYO,CK-MB mass and NT-proBNP were measured by the electrochemiluminescent immunoassay.Results Serum hs-cTnT levels in the compensation period group,decompensation period group,uremia group and the control group were 16.4(10.9-24.2),17.0(13.0-25.5),25.9 (16.5-33.8),13.7(9.4 -19.7 )pg/mL respectively.Serum MYO levels were 52.4 (40.0 -96.5 ),87.9 (57.7 -118.3 ),115.7 (94.2-175.8),34.8(24.3-48.1)ng/mL,respectively.Serum CK-MB mass levels were 1.03(0.82 -1.75),1.31 (1.08 -1.69), 1.66(1.01-2.46),1.88(1.63-2.43)ng/mL,respectively.Serum NT-proBNP levels were 292.5(123.3-576.2),363.3(192.3-893.3),1 357.2(536.5 -4 662.9),110.3 (70.1 -196.3)ng/mL,respectively.The serum hs-cTnT,MYO and NT-proBNP levels were increased with renal function decrease.The nonparametric Kruskal-Wallis H test showed statistically significant difference a-mong groups(H =14.46,49.81 and 35.00,P 0.05).Conclusion The patients with renal dysfunction have the higher risk rate for complicating the cardiovascular e-vents.Early detection of cardiac markers conduces to the diagnosis of myocardial injury,the evaluation of the risk rate of myocardial infarction occurrence in future and the diagnosis of heart failure and evaluation of the risk rate of heart failure occurrence in future.