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Weight maintenance from young adult weight predicts better health outcomes.


ABSTRACT: OBJECTIVE:Defining groups of individuals within a larger population with similar patterns of weight change over time may provide insight into influences of weight stability or gain. METHODS:Latent class growth modeling was used to define subgroups of weight change in adult members of the Gila River Indian Community participating in at least four non-diabetic health exams including OGTTs (N?=?1,157, 762F/395M; 78.4?±?19.0 kg). In a separate study, 152 individuals had 24-h EE measured in a respiratory chamber. RESULTS:Eight groups with baseline weights of 54.6?±?7.3 (n?=?124), 64.2?±?7.7 (n?=?267), 73.6?±?7.8 (n?=?298), 86.1?±?10.2 (n?=?194), 95.5?±?6.7 (n?=?90), 97.9?±?10.4 (n?=?92), 110.9?±?11.9 (n?=?61), and 122.1?±?13.6 (n?=?31) kg (P?

SUBMITTER: Votruba SB 

PROVIDER: S-EPMC4224987 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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Weight maintenance from young adult weight predicts better health outcomes.

Votruba Susanne B SB   Thearle Marie S MS   Piaggi Paolo P   Knowler William C WC   Hanson Robert L RL   Krakoff Jonathan J  

Obesity (Silver Spring, Md.) 20140806 11


<h4>Objective</h4>Defining groups of individuals within a larger population with similar patterns of weight change over time may provide insight into influences of weight stability or gain.<h4>Methods</h4>Latent class growth modeling was used to define subgroups of weight change in adult members of the Gila River Indian Community participating in at least four non-diabetic health exams including OGTTs (N = 1,157, 762F/395M; 78.4 ± 19.0 kg). In a separate study, 152 individuals had 24-h EE measur  ...[more]

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