Describing Patterns of Weight Changes Using Principal Components Analysis: Results from the Action for Health in Diabetes (Look AHEAD) Research Group

被引：36

作者：

Espeland, Mark A. ^{[1
]}

Bray, George A. ^{[3
]}

Neiberg, Rebecca ^{[1
]}

Rejeski, W. Jack ^{[2
]}

Knowler, William C. ^{[4
]}

Lang, Wei ^{[1
]}

Cheskin, Lawrence J. ^{[5
]}

Williamson, Don ^{[3
]}

Lewis, C. Beth ^{[6
]}

Wing, Rena ^{[7
,8
]}

机构：

[1] Wake Forest Univ, Bowman Gray Sch Med, Dept Biostat Sci, Winston Salem, NC 27157 USA

[2] Wake Forest Univ, Bowman Gray Sch Med, Dept Hlth & Exercise Sci, Winston Salem, NC 27157 USA

[3] Pennington Biomed Res Ctr, Div Clin Obes & Metab, Baton Rouge, LA USA

[4] NIDDKD, Diabet Epidemiol & Clin Res Sect, Phoenix, AZ USA

[5] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Hlth Behav & Soc, Baltimore, MD USA

[6] Univ Alabama Birmingham, Div Prevent Med, Birmingham, AL USA

[7] Miriam Hosp, Sch Med, Ctr Behav Med, Providence, RI 02906 USA

[8] Miriam Hosp, Sch Med, Ctr Prevent Med, Providence, RI 02906 USA

来源：

ANNALS OF EPIDEMIOLOGY | 2009年 / 19卷 / 10期

基金：

美国国家卫生研究院;

关键词：

Principal Components Analysis; Intervention Studies; Weight Loss; BODY-COMPOSITION; LOSS MAINTENANCE; WOMEN; PREVENTION; ADHERENCE; WHITE; PHASE; BLACK;

D O I：

10.1016/j.annepidem.2009.06.001

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

PURPOSE: To demonstrate how principal components analysis can be used to describe patterns of weight changes in response to an intensive lifestyle intervention. METHODS: Principal components analysis was applied to monthly percent weight changes measured on 2,485 individuals enrolled in the lifestyle arm of the Action for Health in Diabetes (Look AHEAD) clinical trial. These individuals were 45 to 75 years of age, with type 2 diabetes and body mass indices greater than 25 kg/m(2). Associations between baseline characteristics and weight loss patterns were described using analyses of variance. RESULTS: Three components collectively accounted for 97.0% of total intrasubject variance: a gradually decelerating weight loss (88.8%), early versus late weight loss (6.6%), and a mid-year trough (1.6%). In agreement with previous reports, each of the baseline characteristics we examined had statistically significant relationships with weight loss patterns. As examples, males tended to have a steeper trajectory of percent weight loss and to lose weight more quickly than women. Individuals with higher hemoglobin A(1c) (glycosylated hernoglobin; HbA(1c)) tended to have a flatter trajectory of percent weight loss and to have mid-year troughs in weight loss compared to those with lower HbA(1c). CONCLUSIONS: Principal components analysis provided a coherent description of characteristic patterns of weight changes and is a useful vehicle for identifying their correlates and potentially for predicting weight control outcomes. Ann Epidemiol 2009;19:701-710. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：701 / 710

页数：10

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