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Weight maintenance from young adult weight predicts better health outcomes
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 Rive...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224987/ https://www.ncbi.nlm.nih.gov/pubmed/25131650 http://dx.doi.org/10.1002/oby.20854 |
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author | Votruba, Susanne B Thearle, Marie S Piaggi, Paolo Knowler, William C Hanson, Robert L Krakoff, Jonathan |
author_facet | Votruba, Susanne B Thearle, Marie S Piaggi, Paolo Knowler, William C Hanson, Robert L Krakoff, Jonathan |
author_sort | Votruba, Susanne B |
collection | PubMed |
description | 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 4 non-diabetic health exams including OGTTs (N=1157, 762F/395M; 78.4±19.0 kg). In a separate study, 152 individuals had 24-hr 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 2hr glucose predicted membership in the lower weight trajectories. The weight stable group had higher rates of impaired glucose regulation at baseline and higher 24-hr EE. CONCLUSIONS: Weight in young adulthood defined weight gain trajectory underscoring the importance of intervening early to prevent weight gain. |
format | Online Article Text |
id | pubmed-4224987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-42249872015-11-01 Weight maintenance from young adult weight predicts better health outcomes Votruba, Susanne B Thearle, Marie S Piaggi, Paolo Knowler, William C Hanson, Robert L Krakoff, Jonathan Obesity (Silver Spring) Article 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 4 non-diabetic health exams including OGTTs (N=1157, 762F/395M; 78.4±19.0 kg). In a separate study, 152 individuals had 24-hr 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 2hr glucose predicted membership in the lower weight trajectories. The weight stable group had higher rates of impaired glucose regulation at baseline and higher 24-hr EE. CONCLUSIONS: Weight in young adulthood defined weight gain trajectory underscoring the importance of intervening early to prevent weight gain. 2014-08-06 2014-11 /pmc/articles/PMC4224987/ /pubmed/25131650 http://dx.doi.org/10.1002/oby.20854 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Votruba, Susanne B Thearle, Marie S Piaggi, Paolo Knowler, William C Hanson, Robert L Krakoff, Jonathan Weight maintenance from young adult weight predicts better health outcomes |
title | Weight maintenance from young adult weight predicts better health outcomes |
title_full | Weight maintenance from young adult weight predicts better health outcomes |
title_fullStr | Weight maintenance from young adult weight predicts better health outcomes |
title_full_unstemmed | Weight maintenance from young adult weight predicts better health outcomes |
title_short | Weight maintenance from young adult weight predicts better health outcomes |
title_sort | weight maintenance from young adult weight predicts better health outcomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224987/ https://www.ncbi.nlm.nih.gov/pubmed/25131650 http://dx.doi.org/10.1002/oby.20854 |
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