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2型糖尿病影响因素的巢式病例对照研究
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摘要
目的研究影响2型糖尿病发病的因素,探讨糖尿病家族史分别与总体性肥胖、高血压、高脂血症、腰臀比异常的交互作用对2型糖尿病的影响。
     方法采用1:2匹配巢式病例对照研究,以青岛地区2006年调查时的1426位社区居民作为队列人群。2010年对该队列人群仅进行了血糖的检测,以2010年的血糖检测结果作为病例组的入选依据,病例组106例。按照居住地相同、性别相同、年龄相差(±3)岁的原则,以1:2的比例从该队列中为每例病例匹配两位对照,对照组共212人。用Cox回归拟合配对Logistic回归模型,分析影响2型糖尿病发病的因素,运用相加模型分析糖尿病家族史分别与总体性肥胖、高血压、高脂血症、腰臀比异常的交互作用对2型糖尿病的影响。
     结果12型糖尿病发病的影响因素
     单因素分析显示,糖尿病家族史(χ2=6.90,P=0.009,OR=2.03,95%CI:1.19~3.46)、06年调查时处于肥胖状态(06肥胖)(χ2=17.4,P<0.001,OR=2.82,95%CI: 1.72~4.62)、40岁时肥胖(肥胖40)(χ2=9.18,P=0.002,OR=3.18,95%CI:1.46~6.94)、最高体重时处于肥胖状态(肥胖max)(χ2=10.9,P=0.001,OR=2.24, 95%CI:1.38~3.63)、腰臀比(WHR)异常(χ2=6.51,P=0.011,OR=1.86,95%CI:1.15~3.02)、高脂饮食(χ2=8.87,P=0.003,OR=2.38,95%CI:1.33~4.24)、高血压(χ2= 6.75,P=0.009,OR=1.93,95%CI:1.17~3.17)、高脂血症(χ2=6.05,P=0.014,OR=1.81, 95%CI:1.12~2.91)等因素与2型糖尿病的发病呈正相关关系;体力活动与2型糖尿病的发病呈负相关关系(χ2=6.14,P=0.046,OR=0.59,95%CI:0.39~0.90)、
     多因素模型1的结果显示:糖尿病家族史(OR=1.81,P=0.026)、06肥胖(OR=2.58,P=0.005)、高血压(OR=1.35,P=0.012)、高脂血症(OR=1.52,P=0.022)、高脂饮食(OR=3.53,P=0.002)、WHR异常(OR=2.44,P=0.038)等因素与2型糖尿病的发病呈正相关关系,体力活动则与2型糖尿病的发病呈负相关关系(OR=0.57,P=0.031)。
     多因素模型2的结果显示:糖尿病家族史(OR=1.89,P=0.046)、高血压(OR=1.64,P=0.018)、高脂血症(OR=1.55,P=0.032)、高脂饮食(OR=3.53,P=0.004)、WHR异常(OR=2.69,P=0.017)等因素与2型糖尿病的发病呈正相关关系,体力活动与2型糖尿病的发病呈负相关关系(OR=0.63,P=0.022)。
     多因素模型3的结果显示:糖尿病家族史(OR=1.93,P=0.036)、肥胖40(OR=2.47,P=0.011)、高血压(OR=1.47,P=0.038)、高脂血症(OR=1.57,P=0.022)、高脂饮食(OR=3.52, P=0.002)、WHR异常(OR=2.67,P=0.02)等因素与2型糖尿病的发病呈正相关关系,体力活动与2型糖尿病的发病呈负相关关系(OR=0.59,P=0.042)。
     多因素模型4的结果显示:糖尿病家族史(OR=1.84,P=0.025)、肥胖max(OR= 1.56,P=0.039).高血压(OR=1.51,P=0.028)、高脂血症(OR=1.55,P=0.012)、高脂饮食(OR=3.37,P=0.003).WHR异常(OR=2.51,P=0.03)等因素与2型糖尿病的发病呈正相关关系。22型糖尿病发病影响因素间的交互作用
     调整混杂因素前,糖尿病家族史与06年调查时处于肥胖状态的协同效应指数(s)为1.81,归因交互效应(I(AB))为2.10,归因交互效应百分比(AP%)为36.8%,纯因子归因交互效应百分比(AP*(AB)%)为44.6%;控制混杂因素后,糖尿病家族史与06年调查时处于肥胖状态的协同效应指数(s)为2.11,归因交互效应(I(AB))为2.42,归因交互效应百分比(AP%)为43.2%,纯因子归因交互效应百分比(AP*(AB)%)为52.6%。
     调整混杂因素前,糖尿病家族史与高血压的协同效应指数(s)为2.61,归因交互效应(I(AB))为1.97,归因交互效应百分比(AP%)为47.0%,纯因子归因交互效应百分比(AP*(AB)%)61.5%;控制混杂因素后,糖尿病家族史与高血压的协同效应指数(s)为2.17,归因交互效应(I(AB))为1.17,归因交互效应百分比(AP%)为36.9%,纯因子归因交互效应百分比(AP*(AB)%)为53.9%。
     调整混杂因素前,糖尿病家族史与高脂血症的协同效应指数(s)为2.06,归因交互效应(I(AB))为1.46,归因交互效应百分比(AP%)为38.0%,纯因子归因交互效应百分比(AP*(AB)%)51.4%;控制混杂因素后,糖尿病家族史与高脂血症的协同效应指数(s)为2.53,归因交互效应(I(AB))为1.59,归因交互效应百分比(AP%)为43.9%,纯因子归因交互效应百分比(AP*(AB)%)为60.4%。
     调整混杂因素前,糖尿病家族史与WHR异常的协同效应指数(s)为3.34,归因交互效应(I(AB))为2.48,归因交互效应百分比(AP%)为54.6%,纯因子归因交互效应百分比(AP*(AB)%)为70.1%;控制混杂因素后,糖尿病家族史与WHR异常的协同效应指数(s)为4.98,归因交互效应(I(AB))为2.70,归因交互效应百分比(AP%)为61.6%,纯因子归因交互效应百分比(AP*(AB)%)为79.9%。结论总体性肥胖、高血压、糖尿病家族史、高脂血症、高脂饮食、腰臀比异常等因素能增加2型糖尿病发病的危险性;增加体力活动可以降低2型糖尿病的发病率;糖尿病家族史与总体性肥胖、腰臀比异常、高血压、高脂血症同时存在时能增加2型糖尿病的发病风险,故应采取综合性措施降低2型糖尿病的发病率。
Objectives:To study the factors influencing type 2 diabetes and discuss the interaction between diabetes family history and overall obesity,hypertension, hyperlipaemia and abnormal waist-to-hip ratio respectively.
     Methods:Using matched nested case-control study by matching each patient with two controls,the cohort study population came from 1426 community residents surveyd in 2006,then their blood glucose was examined again in 2010.The subjects were divided into a case group and a control group according to their blood glucose result in 2010. There were 106 cases and 212 controls in this study.A Cox model was used by fitting matching a Logistic model.An additive model was used to analyse the interaction between diabetes family history and overall obesity,hypertension, hyperlipaemia and waist-to-hip ratio respectively.
     Results:1 The factors influencing type 2 diabetes
     Unifactor model showed:diabetes family history(χ2=6.90,P=0.009,OR=2.03,95%CI: 1.19~3.46),obesity in 2006(χ2=17.4,P<0.001,OR=2.82,95%CI:1.72~4.62), obesity at 40(χ2=9.18,P=0.002,OR=3.18,95%CI:1.46~6.94),obesity when fattest (χ2=10.9,P= 0.001,OR=2.24,95%CI:1.38~3.63),abnormal waist-to-hip ratio(χ2=6.51,P=0.011,OR= 1.86,95%CI:1.15~3.02), high fat diet (χ2=8.87, P=0.003, OR=2.38,95%CI:1.33~4.24),hypertension (χ2=6.75, P=0.009, OR=1.93,95%CI:1.17-3.17),hyperlipaemia(χ2= 6.05,P=0.014,OR=1.81,95%CI:1.12~2.91)and so on had a positive relation with the incidence of type 2 diabetes, while physical activity(x2=6.14,P=0.046, OR=0.59,95%CI: 0.39~0.90) had a negative relation with type 2 diabetes.
     Multi-factor model 1 showed:diabetes family history(OR=1.81,P=0.026), obesity in 2006(OR=2.58,P=0.005),hypertension(OR=1.35,P=0.012),hyperlipaemia(OR=1.52,P= 0.022), high fat diet(OR=3.53,P=0.002),abnormal waist-to-hip ratio(OR=2.44,P=0.038) and so on had a positive relation with the incidence of type 2 diabetes,while physical activity (OR= 0.57,P=0.031) had a negative relation with type 2 diabetes.
     Multi-factor model 2 showed:diabetes family history(OR=1.89,P=0.046),hypertension (OR=1.64,P=0.018),hyperlipaemia(OR=1.55,P=0.032),high fat diet(OR=3.53,P=0.004), abnormal waist-to-hip ratio(OR=2.69,P=0.017)and so on had a positive relation with the incidence of type 2 diabetes,while physical activity(OR=0.63, P=0.022) had a negative relation with type 2 diabetes.
     Multi-factor model 3 showed:diabetes family history(OR=1.93, P=0.036), obesity at 40 (OR=2.47, P=0.011),hypertension(OR=1.47, P=0.038),hyperlipaemia(OR=1.57, P= 0.022), high fat diet(OR=3.52,P=0.002),abnormal waist-to-hip ratio(OR=2.67, P=0.02) and so on had a positive relation with the incidence of type 2 diabetes,while physical activity (OR=0.59,P=0.042) had a negative relation with type 2 diabetes.
     Multi-factor model 4 showed:diabetes family history(OR=1.84,P=0.025),obesity when fattest(OR=1.56,P=0.039),hypertension(OR=1.51,P=0.028),hyperlipaemia(OR=1.55,P= 0.012),high fat diet(OR=3.37,P=0.003),abnormal waist-to-hip ratio(OR= 2.51,P=0.03)and so on had a positive relation with the incidence of type 2 diabetes.
     Before adjusting confounding factors,the synergy index between diabetes family history and obesity in 2006 was 1.81 attributable interaction was 2.10;attributable proportion due to interaction was 36.8%;pure attributable proportion due to interaction was 44.6%.After adjusting confounding factors,their synergy index was 2.11;attributable interaction was 2.42;attributable proportion due to interaction was 43.2%;pure attributable proportion due to interaction was 52.6%.
     Before adjusting confounding factors,the synergy index between diabetes family history and hypertension was 2.61;attributable interaction was 1.97;attributable proportion due to interaction was 47.0%;pure attributable proportion due to interaction was 61.5%.After adjusting confounding factors,their synergy index was 2.17;attributable interaction was 1.17;attributable proportion due to interaction was 36.9%;pure attributable proportion due to interaction was 53.9%.
     Before adjusting confounding factors,the synergy index between diabetes family history and hyperlipaemia was 2.06;attributable interaction was 1.46;attributable proportion due to interaction was 38.0%;pure attributable proportion due to interaction was 51.4%.After adjusting confounding factors,their synergy index was 2.53;attributable interaction was 1.59;attributable proportion due to interaction was 43.9%;pure attributable proportion due to interaction was 60.4%.
     Before adjusting confounding factors,the synergy index between diabetes family history and abnormal waist-to-hip ratio was 3.34;attributable interaction was 2.48;attributable proportion due to interaction was 54.6%;pure attributable proportion due to interaction was 70.1%.After adjusting confounding factors,their synergy index was 4.98;attributable interaction was 2.70;attributable proportion due to interaction was 61.6%;pure attributable proportion due to interaction was 79.9%.
     Conclusions:Overall obesity,hypertension,diabetes family history, hyperlipaemia, high fat diet, abnormal waist-to-hip ratio and so on can raise the incidence of type 2 diabetes;while physical activity can reduce the incidence of type 2 diabetes. A person with both diabetes family history and overall obesity or abnormal waist-to-hip ratio or hypertension or hyperlipaemia has a higher probability to suffer type 2 diabetes than those without these risk factors.As a result,a series of measures should be taken to reduce the incidence of type 2 diabetes.
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