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Predicting Energy Balance in Midlife Women

预测中年女性的能量平衡

基本信息

批准号：
6953060
负责人：
MARLA M REICKS
金额：
$ 14.12万
依托单位：
UNIVERSITY OF MINNESOTA
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-30 至 2007-07-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): 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 women in midlife. This is a critical time period for women because without regard for energy balance, there is the 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. Project aims are to: 1) use think aloud and focus group data to create two measurement instruments (attitudinal questionnaire and eating occasions diary), 2) use segmentation analyses based on data collected with these instruments to identify distinct segments of women based on their prevailing attitudes as determined by social cognitive factors (Attitudes Segments) and distinct eating situations (Needs States) driven by the rational and situational/emotional needs that underlie food choices, 3) measure energy balance (diet records, activity monitor and indirect calorimetry), and 4) use multiple regression analyses to determine whether segmentation by Attitudes Segments across Needs States is predictive of energy balance. Segmentation based on this matrix is an innovative strategy to better understand energy balance. The results 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.

描述（由申请人提供）：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。超重和肥胖是中年妇女患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。项目目标是：1）使用出声思考和焦点小组数据创建两个测量工具（态度问卷和饮食情况日记），2）根据这些工具收集的数据进行分类分析，根据社会认知因素决定的普遍态度，确定不同的妇女群体（态度片段）和不同的饮食情况（需求状态）由食物选择背后的理性和情境/情感需求驱动，3）测量能量平衡（饮食记录、活动监测器和间接热量测定法），以及4）使用多元回归分析来确定通过跨需求状态的态度分段的分段是否预测能量平衡。基于该矩阵的细分是一种创新策略，可以更好地理解能量平衡。研究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。