本文選題：體質指標 + 肥胖��； 參考：《吉林大學》2017年碩士論文

【摘要】：目的:探討吉林省部分農(nóng)村地區(qū)中老年人群腰圍(WC)、腰臀比(WHR)、腰圍身高比(WHt R)、體重指數(shù)(BMI)與血壓的關系。方法:應用整群隨機抽樣的方法于2013年7月至2013年9月在吉林省部分農(nóng)村地區(qū)(東豐縣和靖宇縣)抽取年齡在35歲以上人群中2608人作為調(diào)查對象。本調(diào)查采用Epidata3.1建立數(shù)據(jù)庫,數(shù)據(jù)錄入采用雙錄入。采用SPSS23.0軟件包對研究數(shù)據(jù)進行統(tǒng)計學分析,計量資料采用x?±s指標表示,計數(shù)資料采用率和構成比指標表示,率的比較采用χ2檢驗,等級分組的3組及3組以上的比較采用趨勢性χ2檢驗;血壓與各體質指標的相關分析采用線性相關的方法分析。確定顯著性水平α=0.05,其中以P0.05為差異具有統(tǒng)計學意義。結果:1、調(diào)查對象相關指標的一般情況本研究中,符合調(diào)查標準的對象共計2608人,平均年齡為(54.80±10.36)歲,其中,男性1180人(45.2%),女性1428人(54.8%)。2、人口學特征及體質指標與血壓的關系2.1不同血壓人群的人口學特征本文納入的人群中符合高血壓診斷的共有998例(38.3%),其中,男性467例(44.3%),女性531例(55.7%),女性高血壓患病率(39.6%)高于男性(37.2%),男女高血壓患病率之比為1:1.1,男女高血壓患病率無明顯差異(P=0.211)。在本次調(diào)查的不同年齡組中,高血壓組和非高血壓組的構成比不同(P0.001),各年齡段人口數(shù)所占的比例分別為17.5%,32.3%,32.3%,14.4%和3.3%,高血壓的患病率隨年齡的增高呈上升趨勢(χ2trend=172.01,P0.001)。2.2不同WC、WHR和WHt R組高血壓患病率的比較向心性肥胖組(男性WC≥85cm,女性WC≥80cm;男性WHR≥0.9,女性WHR≥0.8;WHt R≥0.5)高血壓患病率明顯高于正常組,差異具有顯著的統(tǒng)計學意義(P0.001)。2.3不同BMI組間高血壓患病率的比較不同BMI[營養(yǎng)不良組(BMI18.5)、正常體重組(18.5≤BMI24)、超重組(BMI≥24)和肥胖組(BMI≥28)]組間高血壓患病率隨著BMI值的增加不斷增加(χ2trend=112.83,P0.001)。3、血壓與相關體質指標的線性相關分析線性相關分析顯示,血壓與WC、WHR、WHt R、BMI均呈正相關性;其中收縮壓和舒張壓與WC的關系最為密切(P0.001)。結論:1、吉林省部分農(nóng)村地區(qū)中老年人群中超重、肥胖、向心性肥胖者高血壓患病率高于正常者。2、吉林省部分農(nóng)村地區(qū)中老年人群WC、WHR、WHt R、BMI與收縮壓和舒張壓均呈正相關,其中WC與血壓的相關度最高。
[Abstract]:Objective: to investigate the relationship between blood pressure and waist circumference (WCC), waist hip ratio (WHR), waist height ratio (WHT RV) and body mass index (BMI) in middle and old people in rural areas of Jilin Province. Methods: from July 2013 to September 2013, 2608 people aged over 35 years were selected from some rural areas of Jilin Province (Dongfeng County and Jingyu County) by cluster random sampling. This investigation adopts Epidata3.1 to establish the database, and the data input adopts double input. The statistical analysis of the research data was carried out by SPSS23.0 software package. The measurement data were expressed by x? 鹵s index, the counting data were expressed by the index of rate and composition ratio, and the rate was compared by 蠂 2 test. Trend 蠂 2 test was used for comparison of 3 groups and more than 3 groups, and linear correlation method was used to analyze the correlation between blood pressure and physical indexes. To determine the significant level of 偽 -0.05, in which P0.05 as the difference was statistically significant. Results in this study, 2608 subjects met the survey criteria, with an average age of 54.80 鹵10.36 years. 1180 males and 1428 females 54.80.The demographic characteristics and the relationship between physique and blood pressure 2.1.The demographic characteristics of different blood pressure groups included in this paper are 998 cases which accord with the diagnosis of hypertension, of which, The prevalence rate of hypertension in female was 39.6% higher than that in male 37.20.The ratio of male to female was 1: 1.1, and there was no significant difference between male and female in the prevalence of hypertension. Among the different age groups in this survey, The constituent ratios of hypertension group and non-hypertension group were different (P 0.001). The proportion of population of different age groups were 17.532. 3% and 3. 3%, respectively. The prevalence of hypertension increased with age (蠂 2 trendd 172.01g P 0.001 .2.2). 2 the prevalence rate of hypertension in different WCWHR and WHt R groups was higher than that in control group (蠂 2 trendd, 172.01g, P 0.001n. 2.2). The prevalence rate of hypertension in different WCWHR and WHt R groups was higher than that in WCWHR and WHt R groups. The prevalence of hypertension in patients with concentric obesity (WC 鈮，

本文編號：1919870