PREDICTING ENERGY BALANCE IN MIDLIFE WOMEN

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 本研究的目的是测试分段分析预测中年女性能量平衡的可行性。超重和肥胖是中年患2型糖尿病的主要危险因素。这对女性来说是一个关键时期，因为在不考虑能量平衡的情况下，随着基础代谢率随着年龄的增长而下降，与年龄相关的体重有可能增加。没有高度预测性的理论方法来预测能量平衡，这些方法充分解决了社会认知因素和环境背景下的情景因素之间的相互作用。基于不同饮食情况(情况/环境)的态度因素(社会认知)的细分分析可用于将一大群不同类型的中年妇女细分为较小的同质部分，以便进行有效的量身定做的干预。这项研究的结果可以用来开发与特定女性群体高度相关的量身定制的干预措施，从而维持能量平衡，从而防止超重和与之相关的2型糖尿病风险。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The purpose of this study is to test the feasibility of segmentation analyses to predict energy balance in midlife women. Overweight and obesity are major risk factors for the development of type 2 diabetes in midlife. This is a critical time period for women because without regard for energy balance, there is potential for age-related weight gain as basal metabolic rate decreases with age. Highly predictive theoretical approaches are not available for the prediction of energy balance that adequately address the interplay between social cognitive factors and situational factors in the context of the environment. Segmentation analyses based on attitudinal factors (social cognitive) across eating situations (situation/environment) can be used to subdivide a large heterogeneous group of midlife women into smaller homogeneous segments that allow for effective tailored interventions. The results of this study can be used to develop tailored interventions that are highly relevant to specific segments of women resulting in maintenance of energy balance, thereby preventing overweight and associated risk for type 2 diabetes.