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Ann Epidemiol. 2009 Oct;19(10):701-10. doi: 10.1016/j.annepidem.2009.06.001. Epub 2009 Jul 22.

Describing patterns of weight changes using principal components analysis: results from the Action for Health in Diabetes (Look AHEAD) research group.

Collaborators (365)

Brancati FL, Honas J, Cheskin L, Clark JM, Stewart K, Rubin R, Charleston J, Horak K, Bray GA, Rau K, Strate A, Armand B, Greenway FL, Ryan DH, Williamson D, Bachand A, Begnaud M, Berhard B, Caderette E, Cerniauskas B, Creel D, Crow D, Guay H, Kora N, LaFleur K, Landry K, Lingle M, Perault J, Shipp M, Smith M, Lewis CE, Thomas S, Safford M, DiLillo V, Bragg C, Dobelstein A, Gilbert S, Glasser S, Hannum S, Hubbell A, Jones J, Lee D, Luketic R, Marshall K, Oden LC, Raines J, Roche C, Truman J, Webb N, Wrenn A, Nathan DM, Turgeon H, Schumann K, Cagliero E, Delahanty L, Hayward K, Anderson E, Bissett L, Ginsburg R, Goldman V, Harlan V, McKitrick C, McNamara A, Michel T, Poulos A, Steiner B, Tosch J, Horton ES, Jackson SD, Hamdy O, Caballero AE, Bain S, Bovaird E, Goebel-Fabbri A, Lambert L, Ledbury S, Malloy M, Ovalle K, Blackburn G, Mantzoros C, Day K, McNamara A, Hill JO, Miller M, Phillipp J, Schwartz R, Van Dorsten B, Regensteiner J, Benchekroun S, Coelho L, Cohrs P, Daeninck E, Fields A, Green S, Hamilton A, Hamilton J, Leshchinskiy E, McDermott M, Munkwitz L, Rome L, Wallace K, Worley T, Foreyt JP, Reeves RS, Pownall H, Balasubramanyam A, Jones P, Burrington M, Chen CH, Clark A, Gee M, Griggs S, Hamilton M, Holley V, Joseph J, Pace P, Palencia J, Satterwhite O, Schmidt J, Volding D, White C, Saad MF, Sengardi SG, Chiu KC, Botrous M, Chan M, Konersman K, Perpetua M, Johnson KC, Gresham C, Connelly S, Brewer A, Coday M, Jones L, Lichtermann L, Vosburg S, Taylor JL, Kitabchi AE, Lambeth H, Clark D, Crisler A, Cunningham G, Green D, Force D, Kores R, Rosenthal R, Smith E, Sun M, Soberman J, Jeffery RW, Thorson C, Bantle JP, Redmon JB, Crow RS, Crow S, Raatz SK, Brelje K, Campbell C, Carls J, Carmean-Mihm T, Finch E, Fox A, Hoelscher E, James LD, Maddy VA, Ockenden T, Rice BI, Skarphol T, Tucker AD, Voeller MS, Walcheck C, Pi-Sunyer X, Patricio J, Heshka S, Pal C, Allen L, Hirsch D, Holowaty MA, Wadden TA, Maschak-Carey BJ, Schwartz S, Foster GD, Berkowitz RI, Glick H, Kumanyika SK, Brock J, Chomentowski H, Clark V, Crerand C, Davenport R, Diamond A, Fabricatore A, Hesson L, Krauthamer-Ewing S, Kuehnel R, Lipschutz P, Mullen M, Womble L, Iqbal N, Kelley DE, Wesche-Thobaben J, Kuller L, Kriska A, Bonk J, Danchenko R, Edmundowicz D, Klem ML, Yamamoto ME, Elnyczky B, Grove GA, Harper P, Krulia J, Mancino J, Mathews A, Murray TY, Ritchea JR, Rush J, Vujevich K, Wolf D, Wing RR, Bright R, Pera V, Jakicic J, Tate D, Gorin A, Gallagher K, Bach A, Bancroft B, Bertorelli A, Carey R, Charron T, Chenot H, Chula-Maguire K, Coward P, Cronkite L, Currin J, Daly M, Egan C, Ferguson E, Foss L, Gauvin J, Kieffer D, Lessard L, Maier D, Massaro JP, Monk T, Nicholson R, Patterson E, Phelan S, Raynor H, Raynor D, Robinson N, Robles D, Tavares J, Haffner SM, Montez MG, Lorenzo C, Kahn S, Montgomery B, Knopp R, Lipkin E, Maciejewski ML, Trence D, Barrett T, Bartell J, Greenberg D, Murillo A, Richmond BA, Thomas A, Knowler WC, Bolin P, Killean T, Manus C, Krakoff J, Curtis JM, Glass J, Michaels S, Bennett PH, Morgan T, Begay S, Fallis B, Hermes J, Hollowbreast DF, Johnson R, Meacham M, Nelson J, Percy C, Poorthunder P, Sangster S, Scurlock N, Shovestull LA, Smiley J, Toledo K, Tomchee C, Tonemah D, Peters A, Ruelas V, Sengardi SG, Graves K, Konersman K, Serafin-Dokhan S, Espeland MA, Bahnson JL, Wagenknecht L, Reboussin D, Rejeski WJ, Bertoni A, Lang W, Miller G, Lefkowitz D, Reynolds PS, Ribisl P, Vitolins M, Booth M, Dotson KM, Hodges A, Williams CC, Barnes JM, Feeney PA, Griffin J, Harvin L, Herman W, Hogan P, Jaramillo S, King M, Lane K, Neiberg R, Ruggiero A, Speas C, Walkup MP, Wall K, Ward M, West DS, Windham T, Nevitt M, Ewing S, Hayashi C, Maeda J, Palermo L, Rahorst M, Schwartz A, Shepherd J, Marcovina SM, Strylewicz G, Prineas RJ, Alexander T, Billings L, Campbell C, Hall S, Hensley S, Li Y, Zhang ZM, Mayer-Davis EJ, Moran R, Foushee R, Hall NJ, Harrison B, Hubbard VS, Yanovski SZ, Cooper LS, Cutler J, Obarzanek E, Gregg EW, Williamson DF, Zhang P.

Author information

  • 1Department of Biostatistical Sciences, Wake Forest University School of Medicine and Winston-Salem, NC 27157, USA. mespelan@wfubmc.edu

Abstract

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 hemoglobin; 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.

PMID:
19628410
[PubMed - indexed for MEDLINE]
PMCID:
PMC2758078
Free PMC Article

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