体力活动与Ⅱ型糖尿病关联研究

发布时间：2018-01-29 13:13

本文关键词： 糖尿病糖尿病前期体力活动休闲体力活动横断面研究　出处：《青岛大学》2017年硕士论文　论文类型：学位论文

【摘要】：目的:目前已有很多研究探索了体力活动与糖尿病之间的关联,但是关于体力活动与糖尿病前期之间关联的研究相对较少。而且关于不同类型不同强度的体力活动与糖尿前期病及糖尿病关联的研究结果尚存在一定的争议。因此,本文对不同类型不同运动强度的体力活动与糖尿前期病及糖尿病之间的关联做一个较为全面的探究。方法:本研究所纳入的研究对象来自于2007-2012年的美国国民健康与营养体格检查的成年人样本(所有研究对象年龄均大于等于20周岁)。采用?2检验比较血糖正常者,糖尿病前期患者和糖尿病患者之间基本特征的差异。计算并比较低、中、高水平的各种类型体力活动的研究对象的平均糖化血红蛋白水平并以中位数(上四分位数,下四分位数)表示。计算并比较不同年龄,性别,BMI组及各种体力活动的不同水平组中糖尿病前期及糖尿病的患病率。使用秩相关分析计算各种类型体力活动与糖化血红蛋白水平的相关关系。采用单因素卡方检验和Mantel-Haenszel(M-H)分层卡方检验分析各种类型的体力活动与糖尿病前期及糖尿病之间的关联强度。使用二元logistic回归分析计算未调整的,年龄、性别调整的以及多因素调整的OR值及95%CI。将研究对象根据年龄和BMI分层后,分别分析各层中各种类型体力活动与糖尿病前期及糖尿病之间的关联。最后应用多元logistic回归分析探讨各种类型体力活动与血糖异常之间的关联。结果:本研究共纳入9962名20岁以上的研究对象。其中,糖尿病前期患者2483例(24.92%),糖尿病患者472例(4.74%)。糖尿病前期和糖尿病的患病率随着年龄、BMI的增长均有所增加但随各种类型体力活动水平的增加均有所降低。除了总职业体力活动和剧烈的职业体力活动以外,其他类型不同水平的体力活动人群的糖化血红蛋白水平之间的差别均存在统计学意义。多因素logistic回归分析结果显示,高水平的总休闲体力活动(β=-0.244,P=0.003)和低水平的剧烈的休闲体力活动(β=-0.209,P=0.038)对糖尿病前期具有有统计学意义的保护作用,其OR(95%CI)分别为0.783(0.666,0.921)和0.811(0.666,0.988)。高水平的总体力活动,各水平的总休闲体力活动,中、高水平的剧烈的休闲体力活动和低、高水平的中等强度的休闲体力活动对糖尿病具有有统计学意义的保护作用。其OR(95%CI)分别为0.582(0.426,0.795),0.673(0.505,0.899),0.625(0.426,0.916),0.467(0.306,0.712),0.502(0.269,0.936),0.504(0.255,0.996),0.551(0.269,0.936)和0.655(0.447,0.959)。在BMI≥30kg/m2组中,高水平的总休闲体力活动,低、中水平的剧烈的休闲体力活动对糖尿病前期都具有有意义的保护作用,其OR(95%CI)分别为0.740(0.572,0.958),0.671(0.488,0.924)和0.601(0.419,0.862)。高水平的总体力活动,高水平的总休闲体力活动,中等水平的剧烈的休闲体力活动和低水平的中等强度的休闲体力活动与糖尿病之间关联的OR(95%CI)分别为0.605(0.410,0.893),0.376(0.211,0.670),0.349(0.147,0.833)和0.602(0.369,0.982)。结论:体力活动可能降低糖尿病前期和糖尿病的发病风险。与职业体力活动相比,休闲体力活动对糖尿病前期以及糖尿病的保护作用更加明显。且体力活动对糖尿病前期及糖尿病的保护作用在肥胖人群中更加明显。上述因果关联仍需更多的大型队列研究加以验证。
[Abstract]:Objective: there are many studies exploring the association between physical activity and diabetes, but the study on the association between physical activity and pre diabetes is relatively rare. And there is still some controversy about the research results of different types of different intensity of physical activity and pre diabetes disease and Diabetes Association. Therefore, this paper on the strength of the association between different different types of physical activity and pre diabetes disease and diabetes do a relatively comprehensive research. Methods: the subjects of this research included from the 2007-2012 years of the national health and nutrition examination sample of adults (all subjects age was greater than or equal to 20 years of age). The 2 test to compare blood glucose? The difference between the normal and the basic characteristics of patients with pre diabetes and diabetes. Calculated and compared in various types of low and high levels of physical strength The mean glycated hemoglobin level study activities and in the median (four percentile, four percentile) said. Calculate and compare the age, gender, the prevalence of prediabetes and diabetes groups with different levels of BMI group and all kinds of physical activity in use. Rank correlation analysis correlation calculation of various types of physical activity with the level of glycosylated hemoglobin. By single factor chi square test and Mantel-Haenszel (M-H) layer was analyzed by chi square test the strength of the association between physical activity and pre diabetes and diabetes. Various types of regression analysis to calculate the unadjusted and age sex adjusted two yuan logistic, and multivariate adjusted OR value and 95%CI. will study the object according to the age and BMI after stratification, respectively analysis the relations between various types of physical activity with pre diabetes and diabetes in each layer. Finally the application of multi element logisti C regression analysis of the correlation between abnormal blood glucose and various types of physical activity. Results: the study included 9962 subjects over the age of 20. Among them, 2483 cases of patients with pre diabetes (24.92%), 472 patients (4.74%). Pre diabetes and diabetes prevalence rate with age, the growth of BMI were but with the increase of various types of physical activity level increases were reduced. In addition to the total occupation of physical activity and violent occupation of physical activity, between the level of glycosylated hemoglobin physical activity, other types of different levels of the differences were statistically significant. Multivariate logistic regression analysis showed that high levels of total physical activity (leisure beta =-0.244, P=0.003) and low levels of violent recreational physical activity (beta =-0.209, P=0.038) - has a protective effect on diabetes was statistically significant, the OR (95%CI) Were 0.783 (0.666,0.921) and 0.811 (0.666,0.988). High levels of total physical activity, the level of total leisure physical activity, intense recreational physical activity and high level low, moderate to high levels of leisure physical activity has a protective effect on diabetes has statistical significance. The OR (95%CI) were 0.582 (0.426,0.795), 0.673 (0.505,0.899), 0.625 (0.426,0.916), 0.467 (0.306,0.712), 0.502 (0.269,0.936), 0.504 (0.255,0.996), 0.551 (0.269,0.936) and 0.655 (0.447,0.959) BMI = 30kg. In group /m2, high levels of total leisure physical activity, low violent leisure physical activity level has significant protective effect on pre diabetes, the OR (95%CI) were 0.740 (0.572,0.958), 0.671 (0.488,0.924) and 0.601 (0.419,0.862). High levels of total physical activity, high levels of total leisure physical activity, moderate level violent The association between recreational physical activity and low levels of moderate intensity physical activity and leisure diabetes OR (95%CI) were 0.605 (0.410,0.893), 0.376 (0.211,0.670), 0.349 (0.147,0.833) and 0.602 (0.369,0.982). Conclusion: physical activity may reduce the risk of diabetes and pre diabetes compared with physical occupation. Leisure activities, physical activity and protective effect of pre diabetes diabetes is more obvious. And the protective effect of physical activity in pre diabetes and diabetes are more obvious in obese people. The causal association still needs a large cohort of more research to verify.

【学位授予单位】：青岛大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R587.1

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