PREDICTING ENERGY BALANCE IN MIDLIFE WOMEN

预测中年女性的能量平衡

• 批准号: 7606029
• 负责人: MARLA M REICKS
• 金额: $ 10.96万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-12-01 至 2007-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7606029
• 关键词: Address; Age; Basal metabolic rate; Cognitive; Computer Retrieval of Information on Scientific Projects Database; Development; Eating; Environment; Funding; Grant; Institution; Intervention; Maintenance; Non-Insulin-Dependent Diabetes Mellitus; Obesity; Overweight; Purpose; Research; Research Personnel; Resources; Risk; Risk Factors; Source; Testing; Time; United States National Institutes of Health; Weight Gain; Woman; age related; base; energy balance; middle age; prevent; social

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.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 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。 超重和肥胖是中年发生 2 型糖尿病的主要危险因素。对于女性来说，这是一个关键时期，因为如果不考虑能量平衡，随着基础代谢率随着年龄的增长而降低，体重可能会随着年龄的增长而增加。高度预测的理论方法无法用于预测能量平衡，从而充分解决社会认知因素和环境背景下情境因素之间的相互作用。基于不同饮食情况（情境/环境）的态度因素（社会认知）的细分分析可用于将一大群异质中年女性细分为更小的同质群体，以便进行有效的定制干预措施。这项研究的结果可用于制定与特定女性群体高度相关的定制干预措施，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。