1.Analysis on diabetes prevalence and its risk factors among adults in Changsha city
Qiangming XIE ; Yuanxiu HUANG ; Kun LIU ; Shan CHEN ; Faming CHEN
Chinese Journal of Health Management 2016;10(6):450-455
Objective To analyze the diabetes prevalence and it's risk factors among adults in Changsha city and provide the scientific evidence for diabetes prevention and control. Methods The stratified multi-stage cluster sampling method was used to collect data of residents(≥18 years old)from 5 counties or districts as the subjects during 2013 to 2014. The survey included structured questionnaire, physical examination and blood tests. Risk factors of diabetes were analyzed by Chi-square test and multivariate logistic regression analysis. Results A total of 19 812 subjects were investigated. The effective response subjects were 19 580; 1 970 subjects had diabetes and the crude prevalence of diabetes was 10.06%. The prevalence rates of male and female was 8.95%(746/8 335) and 10.88%(1 224/11 245) respectively, with statistically significant difference(χ2=19.80, P<0.01). The prevalence rates of urban and suburb were 11.34%(1 048/9 238)and 8.92%(922/10 342)respectively,which has statistical significance (χ2=31.82,P<0.01).The prevalence of diabetes between 1.10%and 18.03%among all age groups, which has statistical significance among different age groups(χ2=797.67, P<0.01), and increased with the increase of age(χ2trend=731.99, P<0.01). The prevalence of diabetes of those whose educational background was Junior high school, senior high school, college, bachelor or above was 10.88%(1 529/14 050), 9.06%(290/3 201), 6.94%(97/1 398), 5.84%(52/891) respectively, The difference of diabetes prevalence also showed statistical significance among population with different educational background(χ2=46.62,P<0.01). The prevalence rates of people with hypertension and without hypertension were 18.33%(1 180/6 437)and 6.02%(790/13 132) respectively, which has statistical significance(χ2=723.68, P<0.01). The results of multi variant logistic regression analysis indicated that high blood pressure(OR=2.24), obesity(OR=2.12), overweight(OR=1.48), living in urban area(OR=1.54) and high age(OR=1.36)were independent risk factors of diabetes. Conclusion The diabetes prevalence in Changsha was high. The comprehensive prevention measures according to risk factors of diabetes should be taken, especially should focus on the people 40 years of age or older, with high blood pressure, being overweight or obese and living in urban area.
2.Accuracy and influential factors for hypertension prevalence based on questionnaire interview.
Bo CHEN ; Lin ZHANG ; Peishan NING ; Qiangming XIE ; Yuanxiu HUANG ; Guoqing HU
Journal of Central South University(Medical Sciences) 2020;45(1):40-46
OBJECTIVES:
To assess the accuracy and influential factors for hypertension prevalence based on questionnaire interview by on-site measurement.
METHODS:
Data were from the baseline surveys for chronic diseases among residents ages ≥18 years old in 4 districts/counties of Changsha between 2013 and 2014. All surveys adopted multi-stage random sampling to select samples. The Bootstrap resampling method was used to randomly select 1 000 repeated samples with replacement to obtain robust estimate of subgroup prevalence rates. Hypertension prevalence was calculated by using the data from both questionnaire interview and on-site measurement. Using the results of on-site measurement as the golden standard, the accuracy of questionnaire interview and 95% uncertainty interval were estimated. Multivariate logistic regression was used to investigate the influential factors for the underestimated hypotension prevalence based on questionnaire interview.
RESULTS:
The hypertension prevalence from on-site measurement among the residents in the 4 districts/counties of Changsha was significantly higher than that from questionnaire interview (prevalence ratio: 1.26-2.31). Taking the results of on-site measurement as the golden standard, the sensitivity of questionnaire interview on hypotension prevalence range from 41.76% to 74.83% among the 4 districts/counties, and the specificity fell between 98.51% and 99.46%. The underestimation in questionnaire interview was more likely to occur in the youngest age group (18-34 years old), males, and residents were at lower levels of education in all 4 districts/counties.
CONCLUSIONS
Compared with the on-site measurement, questionnaire interview significantly under-estimate the hypertension prevalence, suggesting that the on-site measurement method should be firstly considered in epidemiological surveys for hypertension prevalence. If only the questionnaire method can be used to collect data due to conditions, it is necessary to make corresponding corrections to the questionnaire results with reference to relevant research evidence.
Adolescent
;
Adult
;
China
;
Humans
;
Hypertension
;
epidemiology
;
Logistic Models
;
Male
;
Prevalence
;
Risk Factors
;
Surveys and Questionnaires
;
Young Adult