PREDICTING ENERGY BALANCE IN MIDLIFE WOMEN

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。本研究的目的是测试分段分析的可行性，以预测中年妇女的能量平衡。超重和肥胖是中年发展为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，因为如果不考虑能量平衡，随着基础代谢率随年龄的增长而下降，年龄相关的体重增加是可能的。高度预测性的理论方法不适用于预测能量平衡，充分解决社会认知因素和环境因素之间的相互作用。基于饮食情况（情况/环境）的态度因素（社会认知）的细分分析可用于将一个大型异质性中年妇女群体细分为较小的同质段，以便进行有效的量身定制干预。这项研究的结果可用于制定与特定女性群体高度相关的干预措施，从而维持能量平衡，从而预防超重和2型糖尿病的相关风险。

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.