Dataset Information

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 < 0.001) were delineated. Group 5, (initial weight = 95.5 ± 6.7 kg) maintained a comparatively stable weight over time (+3.3 ± 10.3 kg, +3.8 ± 11.2% of initial weight; median follow-up time: 13.1 years). All other groups gained weight over time (+29.9 ± 21.1% of initial weight; median follow-up time: 16.3 years). Higher starting weight defined weight gain in most groups, but higher 2 h glucose predicted membership in the lower weight trajectories. The weight stable group had higher rates of impaired glucose regulation at baseline and higher 24-h EE.

Conclusions

Weight in young adulthood defined weight gain trajectory underscoring the importance of intervening early to prevent weight gain.

SUBMITTER: Votruba SB

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

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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]

PMID: 25131650

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Dataset Information

Weight maintenance from young adult weight predicts better health outcomes.

Objective

Methods

Results

Conclusions

Publications

Weight maintenance from young adult weight predicts better health outcomes.

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