[Multilevel regression analysis on regional-cluster and risk factors of blood pressure among adult residents in Zhejiang province].
OBJECTIVE
Using multilevel analysis model to analyze the regional-cluster and risk factors of blood pressure among adult residents in Zhejiang province.


METHODS
Totally, 17 437 residents were studied through a multi-stage cluster random sampling method from 60 streets/townships. Risk factors on SBP and DBP were analyzed through a two-level regression model, respectively.


RESULTS
The average blood pressure in males appeared as: SBP (125.14±17.90) mmHg, DBP (80.02±10.07) mmHg, compared with SBP (123.36±20.20) mmHg, DBP (77.42±10.09) mmHg in females. The average blood pressure in urban areas were SBP (126.29 ± 19.46) mmHg, DBP (79.64±10.20) mmHg, compared with SBP (122.82±18.86) mmHg, DBP (77.99±10.08) mmHg in rural areas, with differences statistically significant (P < 0.001), between the two areas. Pearson correlation coefficients between SBP, SDP and age were 0.44 and 0.21(P < 0.001), respectively. 5.24% variation of the SBP and 4.96% variation of the DBP were attributed to the environmental factors. Factors as age, gender, hypertension in family history, taking medication for blood pressure, physical exercise, smoking, alcohol drinking, BMI, waist, FPG, TG and TC at the individual level. were associated with both SBP and SDP (P < 0.05). Family income seemed to be related to SBP. Education, reducing salt intake, intensity of occupation would affect on DBP. Influence of FPG and TC on SBP varied among streets/townships while relation between TC and DBP also varied.


CONCLUSIONS
The distribution of blood pressure showed regional-cluster phenomenon. Strategies for different regions directed to prevent hypertension should consider the individual factors such as age, BMI, FPG, TG, TC, the regional factors and the sensitivity of different population to factors.
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Haibin
H
Wu
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Ruying
R
Hu
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Le
L
Fang
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Jie
J
Zhang
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Hao
H
Wang
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Qingfang
Q
He
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Lixin
L
Wang
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Danting
D
Su
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Ming
M
Zhao
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Weiwei
W
Gong
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Jin
J
Pan
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China. Email: myu@cdc.zj.cn.
Min
M
Yu
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Zhen
Z
Ye
D000293:Adolescent; D015982:Bias; D001794:Blood Pressure / Q000502:physiology*; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology* / Q000517:prevention & control*; D008297:Male; D008875:Middle Aged; D055361:Multilevel Analysis; D012044:Regression Analysis; D012307:Risk Factors