Tooth loss is related to the presence of metabolic syndrome and inflammation in elderly subjects: a prospective study of the vasculature in Uppsala seniors (PIVUS).

Tooth loss is related to the presence of metabolic syndrome and inflammation in elderly subjects: a prospective study of the vasculature in Uppsala seniors (PIVUS).
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牙齿脱落与老年受试者代谢综合征和炎症的存在有关:乌普萨拉老年人脉管系统的一项前瞻性研究 (PIVUS)。

DOI:
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发表时间:
2007
影响因子:
1.6
通讯作者:
L. Lind
L. Lind
中科院分区:
医学4区
文献类型:
--
作者:
A. Holmlund;J. Hulthe;L. Lind

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目的 研究剩余牙齿数量与代谢综合征(MetS)和炎症标志物的存在之间的关系。 材料和方法 在乌普萨拉老年人(PIVUS)研究中,对1016名70岁的受试者进行了基于人群的血管系统前瞻性研究。 结果 947名受试者自我报告了牙齿数量,使用国家胆固醇教育计划/成人治疗小组III发现MetS患者的牙齿数量较少(NCEP/ATP III)标准(n = 219,平均值17.7 +/- 9.0 [SD]),而无MetS的患者n = 728,平均值20.7 +/- 7.2(p < 0.0001),并与符合标准的数量成比例(p < 0.0001)。牙齿数量与炎症标志物也呈负相关(白细胞计数r =-0.15,p < 0.0001; C反应蛋白r =-0.10,p = 0.0023)。在多元回归分析中,代谢综合征的存在,吸烟,教育水平,白细胞计数和身高是牙齿数量的独立预测因子。 结论 除了牙齿脱落的既定风险因素外,MetS和炎症的存在是老年人群牙齿数量的独立预测因素。
PURPOSE To investigate how the number of remaining teeth relates to the presence of metabolic syndrome (MetS) and markers of inflammation. MATERIALS AND METHODS A population-based prospective investigation of the vasculature in Uppsala seniors (PIVUS) study was carried out on 1016 subjects, aged 70. RESULTS The number of teeth was self-reported in 947 subjects and was found to be less in those with MetS using National Cholesterol Education Program/Adult Treatment Panel III (NCEP/ATP Ill) criteria (n = 219, mean 17.7 +/- 9.0 [SD]), compared with n = 728, mean 20.7 +/- 7.2 in those without MetS (p < 0.0001), and in proportion to the number of criteria fulfilled (p < 0.0001). The number of teeth was also inversely related to markers of inflammation (r = -0.15, p < 0.0001 for leukocyte count; r = -0.10, p = 0.0023 for C-reactive protein). In a multiple regression analysis, the presence of MetS, smoking, educational level, leukocyte count and height were independent predictors of the number of teeth. CONCLUSIONS In addition to established risk factors for tooth loss, the presence of MetS and inflammation were independent predictors of the number of teeth in an elderly population.