St Luke's-Roosevelt Hospital, Columbia University College of Physicians and Surgeons, Columbia University Mailman School of Public Health, New York, New York, USA.
Diabetes Technol Ther. 2011 May;13(5):557-61. doi: 10.1089/dia.2010.0195. Epub 2011 Mar 15.
Exercise interventions often aim to affect abdominal obesity and glucose tolerance, two significant risk factors for type 2 diabetes. Because of limited financial and clinical resources in community and university-based environments, intervention effects are often measured with interviews or questionnaires and correlated with weight loss or body fat indicated by body bioimpedence analysis (BIA). However, self-reported assessments are subject to high levels of bias and low levels of reliability. Because obesity and body fat are correlated with diabetes at different levels in various ethnic groups, data reflecting changes in weight or fat do not necessarily indicate changes in diabetes risk. To determine how exercise interventions affect diabetes risk in community and university-based settings, improved evaluation methods are warranted.
We compared a noninvasive, objective measurement technique--regional BIA--with whole-body BIA for its ability to assess abdominal obesity and predict glucose tolerance in 39 women. To determine regional BIA's utility in predicting glucose, we tested the association between the regional BIA method and blood glucose levels.
Regional BIA estimates of abdominal fat area were significantly correlated (r = 0.554, P < 0.003) with fasting glucose. When waist circumference and family history of diabetes were added to abdominal fat in multiple regression models, the association with glucose increased further (r = 0.701, P < 0.001).
Regional BIA estimates of abdominal fat may predict fasting glucose better than whole-body BIA as well as provide an objective assessment of changes in diabetes risk achieved through physical activity interventions in community settings.
运动干预通常旨在影响腹部肥胖和葡萄糖耐量，这是 2 型糖尿病的两个重要危险因素。由于社区和大学环境中的财力和临床资源有限，干预效果通常通过访谈或问卷调查进行测量，并与体重减轻或体脂相关，体脂通过生物阻抗分析（BIA）来表示。然而，自我报告的评估受到高度偏见和低可靠性的影响。由于肥胖和体脂在不同种族群体中与糖尿病的相关性不同，反映体重或脂肪变化的数据不一定表明糖尿病风险的变化。为了确定运动干预如何影响社区和大学环境中的糖尿病风险，需要改进评估方法。
我们比较了一种非侵入性、客观的测量技术——区域 BIA——与全身 BIA，以评估其评估腹部肥胖和预测 39 名女性葡萄糖耐量的能力。为了确定区域 BIA 预测葡萄糖的效用，我们测试了区域 BIA 方法与血糖水平之间的关联。
腹部脂肪面积的区域 BIA 估计值与空腹血糖呈显著相关（r = 0.554，P < 0.003）。当将腰围和糖尿病家族史添加到多回归模型中的腹部脂肪中时，与葡萄糖的关联进一步增加（r = 0.701，P < 0.001）。
区域 BIA 对腹部脂肪的估计可能比全身 BIA 更好地预测空腹血糖，并提供通过社区环境中的体育活动干预实现的糖尿病风险变化的客观评估。
