Relation of body mass index to depression and weighing frequency in overweight women
Relation of body mass index to depression and weighing frequency in overweight women
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DOI：
10.1016/j.ypmed.2007.03.008
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发表时间：
2007-07-01
影响因子：
5.1
通讯作者：
Rohde, Paul
中科院分区：
文献类型：
--
作者：
Linde, Jennifer A.;Jeffery, Robert W.;Rohde, Paul
Objective.研究表明，超重和肥胖与抑郁症状有关，特别是在女性中。来自体重控制试验的证据表明，更高的称重频率与更大的体重减轻或更少的体重增加有关。由于有限的数据存在的影响体重指数（BMI）超重的成年人有或没有抑郁症，本研究旨在探讨这个问题，使用的数据，以人口为基础的流行病学调查。从2003年11月至2005年2月，在大西雅图地区对4655名年龄在40-65岁的妇女进行了一项基于人口的大规模调查，调查数据被用来检查抑郁症和体重自我监测与BMI的关系。采用样本加权回归模型，以人口统计学因素（种族/民族、就业状况、吸烟状况、年龄、婚姻状况、教育程度）为协变量，研究抑郁、自称频率和BMI之间的关系。回归模型显示，较高的自我称重频率和负性抑郁状态与较低的BMI独立相关，抑郁与自我称重之间没有交互作用。频繁的自我称重似乎与抑郁症和非抑郁症超重女性的较低BMI相关。(C)2007年爱思唯尔公司All rights reserved.
Objective. Research suggests that overweight and obesity are associated with depressive symptoms, particularly among women. Evidence from weight control trials suggests that higher weighing frequency is associated with greater weight loss or less weight gain. As limited data exist on the effects of self-weighing on body mass index (BMI) among overweight adults with or without depression, this study seeks to examine this issue using data from a population-based epidemiologic survey.Methods. Data from a large population-based survey of 4655 women ages 40-65 in the greater Seattle area, surveyed from November 2003 to February 2005, were used to examine associations of depression and weight self-monitoring with BMI. Sample-weighted regression models were used to examine associations of depression, self-weighing frequency, and BMI, with demographic factors (race/ethnicity, employment status, smoking status, age, martial status, educational attainment) entered as covariates.Results. Regression models indicated that higher self-weighing frequency and negative depression status were independently associated with lower BMI, with no interaction observed between depression and self-weighing.Conclusion. Frequent self-weighing appears to be associated with lower BMI in both depressed and non-depressed overweight women. (C) 2007 Elsevier Inc. All rights reserved.