Abstract
武海滨,胡如英,方乐,张洁,王浩,何青芳,王立新,苏丹婷,赵呜,龚巍巍,潘劲俞,敏叶真.浙江省成年居民血压水平区域聚集性和危险因素的多水平模型分析[J].Chinese journal of Epidemiology,2014,35(3):246-249
浙江省成年居民血压水平区域聚集性和危险因素的多水平模型分析
Multilevel regression analysis on regional-cluster and risk factors of blood pressure among adult residents in Zhejiang province
Received:September 01, 2013  Revised:June 28, 2012
DOI:
KeyWord:   危险因素  多水平模  地区聚集性
English Key Word: Blood pressure  Risk factors  Multilevel analysis model  Region cluster
FundProject:浙江省重大科技专项(2011C13032-1)
Author NameAffiliationE-mail
Wu Haibin  rnyu@cdc.zj.cn 
Hu Ruying   
Fang Le   
Zhang Jie   
Wang Hao   
Heqingfang   
Wang Lixirr   
Su Daneiag   
Zhao Ming   
Gong Weiuei   
Pan Jin   
Yu Min   
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Abstract:
      目的应用多水平模型分析浙江省成年居民血压水平的区域聚集性和危险因素。方法采用多阶段整群随机方法抽取浙江省60个街道/乡镇共17 437名成年人作为研究对象,使用2水平模型分别分析SBP和DBP。结果男性SBP为(125,14±17.90)mmHg、DBP(80.02±10.07)mmHg,女性SBP为(123.36±20.20)mmHg DBP(77.42 4-10.09)mmHg;城市人群SBP为(126.294-19.46)mmHg、DBP(79.64±10.20)mmHg,农村人群SBP为(122.82±18.86)mmHg、DBP(7799±10.08)mmHg,差异均有统计学意义(P<0.001);SBP和DBP与年龄的Pearson相关系数分别为0.44和0.21(P<0.001);在SBP和DBP的变异中,环境因素分别占5.24%和4.96%;个体水平的年龄、性别、高血压家族史、服用降压药、体育锻炼、吸烟、饮酒、BMl、WC、FPG、TG和TC对SBP和DBP均有影响(P<0.05),家庭经济收入对SBP有影响(Jp<0.05),文化程度、限盐摄人、职业强度只寸DBP有影响(P<0.05);FPG和TC水平与SBP之间的数量关系以及TC水平与DB之间的数量关系在街道/乡镇间存在变化(P<0.05)。结论浙江省成年居民血压分布具有地区聚集件,高血压的预防既需要考虑年龄、BMI、FPG、TG和TC等个体因素,还应考虑地区因素以及不同地区人群对危险因素的敏感性,从而制定针对不同区域的预防策略。
English Abstract:
      0bjective Using multilevel analysis model to analyze the regional.cluster andrisk factors of blood pressure among adult residents in Zheiiang province.Methods Totally.17 437residents 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.1evel regression model.respectively.Results The averagebloodpressureinmales appeared as:SBP(125.14±17.90)mmHg,DBP(80.02-4-lO.07)mmHg,compared with SBP(123.36±20.20)mmHg,DBP(77.42±10.09)mmHgin females,The average blood pressure in urban areas were SBP(126.29±19.46)mmHg.DBP(79.64±1020)mmHg,compared with SBP(122.82±18.86)mmHg,DBP(77.99±10.08)mmHg in rtlral areas.with difrerences statistically significant(P<0.001),between the two areas.Pearsoncorrelation coemcients 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 enviroamentalfactors.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 individuallevel. 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 DBR Influence of FPG and TC on SBP varied among streets/townships while relation between TC and DBP also varied.Conclusion 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.
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