[Analysis and quantitative assessment on the risks of diabetes at the community level in Chongqing].
OBJECTIVE
To investigate the correlation risk factors of diabetes over 16-year-olds at the community level in Chongqing and to set a quantitative criteria for determining risk for diabetes and to identify persons having potential risk.


METHODS
1981 cases with 1:2 matched controls were chosen from five communities in Chongqing including Shapingba, Xiaolongkan, Tianxingqiao, Yubei Road, Ciqikou, which were interviewed with a uniformed questionnaire. The risk factors of diabetes mellitus were analyzed with logistic regression, and to calculate the odds ratios of risk factors for diabetes. Different levels of risk exposure factors were converted into a risk scores, using statistical models.


RESULTS
An individual health risk appraisal model of diabetes was established, applicable to individuals of different sex, age, health behavior,disease,and family history, for men, 13 risk factors including hyperlipidemia (14.995), coronary heart disease (6.689), family history of hypertension (4.005), smoking (3.111 ) etc. while for women, hyperlipidemia (12.426), family history of hypertension (3.986), stroke (2.714), liking sweets (1.244), about 15 risk factors, were entering the main effect model. The related risk scores were added to obtain a combined risk score to predict the individual's risk of diabetes in the future.


CONCLUSIONS
The incidence of diabetes could be effectively reduced by changing the unhealthy lifestyle and curing the patient with the disease. Evidence was provided to persuade people change their unhealthy lifestyles and behaviors through health education. The results could also be used in community to improve their health services.
Zhang
Ling
L
The Department of Health Statistics, the Third Military Medical University, Chongqing 400038, China.
Zhu
Li-qiang
LQ
Wu
Ya-zhou
YZ
Liu
Hong-hong
HH
Yi
Dong
D
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002681:China / Q000453:epidemiology; D003920:Diabetes Mellitus / Q000453:epidemiology*; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D055815:Young Adult