一般人群中代谢健康和不健康的肥胖表型:FIN-D2D 研究。
Metabolically healthy and unhealthy obesity phenotypes in the general population: the FIN-D2D Survey.
机构信息
Diabetes Prevention Unit, Division of Welfare and Health Promotion, National Institute for Health and Welfare, Helsinki, Finland.
出版信息
BMC Public Health. 2011 Oct 1;11:754. doi: 10.1186/1471-2458-11-754.
BACKGROUND
The aim of this work was to examine the prevalence of different metabolical phenotypes of obesity, and to analyze, by using different risk scores, how the metabolic syndrome (MetS) definition discriminates between unhealthy and healthy metabolic phenotypes in different obesity classes.
METHODS
The Finnish type 2 diabetes (FIN-D2D) survey, a part of the larger implementation study, was carried out in 2007. The present cross-sectional analysis comprises 2,849 individuals aged 45-74 years. The MetS was defined with the new Harmonization definition. Cardiovascular risk was estimated with the Framingham and SCORE risk scores. Diabetes risk was assessed with the FINDRISK score. Non-alcoholic fatty liver disease (NAFLD) was estimated with the NAFLD score. Participants with and without MetS were classified in different weight categories and analysis of regression models were used to test the linear trend between body mass index (BMI) and various characteristics in individuals with and without MetS; and interaction between BMI and MetS.
RESULTS
A metabolically healthy but obese phenotype was observed in 9.2% of obese men and in 16.4% of obese women. The MetS-BMI interaction was significant for fasting glucose, 2-hour plasma glucose, fasting plasma insulin and insulin resistance (HOMA-IR)(p < 0.001 for all). The prevalence of total diabetes (detected prior to or during survey) was 37.0% in obese individuals with MetS and 4.3% in obese individuals without MetS (p < 0.001). MetS-BMI interaction was significant (p < 0.001) also for the Framingham 10 year CVD risk score, NAFLD score and estimated liver fat %, indicating greater effect of increasing BMI in participants with MetS compared to participants without MetS. The metabolically healthy but obese individuals had lower 2-hour postload glucose levels (p = 0.0030), lower NAFLD scores (p < 0.001) and lower CVD risk scores (Framingham, p < 0.001; SCORE, p = 0.002) than normal weight individuals with MetS.
CONCLUSIONS
Undetected Type 2 diabetes was more prevalent among those with MetS irrespective of the BMI class and increasing BMI had a significantly greater effect on estimates of liver fat and future CVD risk among those with MetS compared with participants without MetS. A healthy obese phenotype was associated with a better metabolic profile than observed in normal weight individuals with MetS.
背景
本研究旨在探讨不同肥胖代谢表型的流行情况,并通过使用不同的风险评分分析代谢综合征(MetS)定义在不同肥胖类别中如何区分不健康和健康的代谢表型。
方法
芬兰 2 型糖尿病(FIN-D2D)研究是一项更大的实施研究的一部分,于 2007 年进行。本横断面分析包括 2849 名年龄在 45-74 岁的个体。MetS 采用新的协调定义进行定义。心血管风险采用 Framingham 和 SCORE 风险评分进行评估。糖尿病风险采用 FINDRISK 评分进行评估。非酒精性脂肪性肝病(NAFLD)采用 NAFLD 评分进行评估。将有和无 MetS 的参与者分为不同的体重类别,并使用回归模型分析来测试有和无 MetS 的个体中 BMI 与各种特征之间的线性趋势;以及 BMI 和 MetS 之间的交互作用。
结果
在肥胖男性中,有 9.2%存在代谢健康但肥胖表型,在肥胖女性中,有 16.4%存在该表型。MetS-BMI 交互作用在空腹血糖、2 小时血浆葡萄糖、空腹血浆胰岛素和胰岛素抵抗(HOMA-IR)方面均有显著意义(所有 P 值均<0.001)。患有 MetS 的肥胖个体中总糖尿病(在调查前或期间检测到)的患病率为 37.0%,而没有 MetS 的肥胖个体中为 4.3%(P<0.001)。MetS-BMI 交互作用在Framingham 10 年 CVD 风险评分、NAFLD 评分和估计的肝脂肪%方面也具有显著意义(P<0.001),表明在患有 MetS 的参与者中,BMI 的增加对参与者的影响大于没有 MetS 的参与者。与患有 MetS 的正常体重个体相比,代谢健康但肥胖的个体具有较低的 2 小时餐后血糖水平(P=0.0030)、较低的 NAFLD 评分(P<0.001)和较低的 CVD 风险评分(Framingham,P<0.001;SCORE,P=0.002)。
结论
无论 BMI 类别如何,患有 MetS 的个体中未检测到的 2 型糖尿病更为普遍,并且与没有 MetS 的参与者相比,MetS 参与者的 BMI 增加对肝脂肪和未来 CVD 风险的估计具有更大的影响。健康肥胖表型与正常体重但患有 MetS 的个体相比,具有更好的代谢特征。