Multilevel regression analysis on regional-cluster and risk factors of blood pressure among adult residents in Zhejiang province.

Haibin WU; Ruying HU; Le Fang; Jie Zhang; Hao Wang; Qingfang HE; Lixin Wang; Danting SU; Ming Zhao; Weiwei Gong; Jin Pan; Min YU; Zhen YE

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Multilevel regression analysis on regional-cluster and risk factors of blood pressure among adult residents in Zhejiang province.

Author: Haibin WU ¹ ; Ruying HU ¹ ; Le FANG ¹ ; Jie ZHANG ¹ ; Hao WANG ¹ ; Qingfang HE ¹ ; Lixin WANG ¹ ; Danting SU ¹ ; Ming ZHAO ¹ ; Weiwei GONG ¹ ; Jin PAN ¹ ; Min YU ² ; Zhen YE ¹
Author Information

1. Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
2. Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China. Email: myu@cdc.zj.cn.
Publication Type:Journal Article
MeSH: Adolescent; Bias; Blood Pressure; physiology; China; epidemiology; Cross-Sectional Studies; Female; Humans; Hypertension; epidemiology; prevention & control; Male; Middle Aged; Multilevel Analysis; Regression Analysis; Risk Factors
From: Chinese Journal of Epidemiology 2014;35(3):246-249
CountryChina
Language:Chinese
Abstract:
OBJECTIVEUsing multilevel analysis model to analyze the regional-cluster and risk factors of blood pressure among adult residents in Zhejiang province.
METHODSTotally, 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.
RESULTSThe 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.
CONCLUSIONThe 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.