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1.
Shanghai Journal of Preventive Medicine ; (12): 361-364,365, 2016.
Article in Chinese | WPRIM | ID: wpr-789367

ABSTRACT

Objective To estimate the prevalence of overweight and obesity , and their relationship between overweight , obesity and chronic diseases among adults in Pinghu City . Methods A total of 3 106 local registered permanent residents aged above 18 years were selected by multi-stage random sam-pling and questionnaire surveys were conducted .The blood glucose , blood lipid , blood pressure , height and weight of the participants were tested . Results The prevalence rate of overweight was 31 .6%( the standardized rate was 29 .5%) and the prevalence rate of obesity was 8 .1% ( the standardized rate is 7 .8%) in residents aged above 18 years in Pinghu City .The prevalence rate of overweight and obesity was highest among population aged from 50 to 59 years.The prevalence rates of overweight of the population in different ages and with different education backgrounds had significant differences ( P <0.05 ).The prevalence rates of diabetes , hypertension and dyslipidemia among overweight and obese population were higher than those with normal weight ( P <0 .01 ) .BMI was the risk factor of hypertension , diabetes mellitus and dyslipidemia , and the OR value was 1 .508 , 2 .127 and 1 .571 , respectively . Conclusion The prevalence of overweight and obesity in Pinghu City is serious and has close relation with chronic diseases .Prevention and intervention measures are necessary for the overweight and obesity population .

2.
Journal of Preventive Medicine ; (12): 25-27,31, 2015.
Article in Chinese | WPRIM | ID: wpr-792361

ABSTRACT

Objective To explore the risk factors of type 2 diabetes mellitus( T2DM)among adults in pinghu County. Methods through multi-stage cluster sampling,a cross sectional study was conducted among adults above 18 years old in one street and eight towns of pinghu County. A total of 3 106 people were randomly selected for this study. They were surveyed including general condition,the history of disease,smoking,drinking and physical exercise. Besides,the participants were also examined for blood glucose,blood lipids,height,weight,blood pressure and waist circumference. Results The prevalence of T2DM was 8. 30% among residents aged above 18 years in pinghu County,and it increased with age( p <0. 01 ). An unconditional logistic regression analysis showed that age,education,hypertension,family history of DM,BMI,waist circumference,physical exercise,TC,TG and HDL -C were significantly associated with T2DM(p<0. 05). Meanwhile,unconditional multivariate logistic regression showed that age was associated with DM, family history of DM(OR =9. 30),hypertension(OR =1. 64),TG(OR =1. 83)and BMI(OR =1. 31)were the risk factors of T2DM. Conclusion The prevalence of T2DM was high. It is necessary to promote the health education through the population and take measure to prevent the disease.

3.
Journal of Preventive Medicine ; (12): 1110-1113, 2014.
Article in Chinese | WPRIM | ID: wpr-792353

ABSTRACT

Objective To explore the prevalence and risk factors of hypertension among the residents aged over the 35 years old in Pinghu City.Methods A total of 3 300 residents aged over 35 years old from 1 0 villages (communities)in Pinghu City were selected by multi -stage stratified cluster sampling method,and were investigated via questionnaire survey, physical examination and laboratory tests.Results The prevalence rate of hypertension was 32.1 5%,and the standardized rate was 28.30%.Multi -variable logistic regression analysis showed that the major risk factors of hypertension included high age(OR =38.93),overweight(OR =1 .94)and obesity(OR =4.49),family history of hypertension(OR =5.61 ), hypertriglyceridemia(OR =1 .76),Normal weight(OR =0.54)and high education level (OR =0.40)were the protective factors.Conclusion The prevalence of hypertension among the residents aged over 35 years old in Pinghu City is at a high level.It is possible to take comprehensive intervention for hypertension focus on the different risk factors.

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