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Behavioural and psychosocial factors associated with 5‐year weight trajectories within the PORTAL Overweight/Obesity Cohort

OBJECTIVE: The purpose of this study was to model weight trajectories over a 5‐year time period (2012–2016) and their association with behavioural and psychosocial characteristics and health care–related experiences using data from the Patient Outcomes Research to Advance Learning (PORTAL) overweigh...

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Autores principales: Fitzpatrick, Stephanie L., Rosales, Ana G., Brown, Susan D., Arterburn, David E., Daley, Matthew F., Horberg, Michael, Koebnick, Corinna, Oshiro, Caryn, Young, Deborah R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278910/
https://www.ncbi.nlm.nih.gov/pubmed/32523716
http://dx.doi.org/10.1002/osp4.411
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author Fitzpatrick, Stephanie L.
Rosales, Ana G.
Brown, Susan D.
Arterburn, David E.
Daley, Matthew F.
Horberg, Michael
Koebnick, Corinna
Oshiro, Caryn
Young, Deborah R.
author_facet Fitzpatrick, Stephanie L.
Rosales, Ana G.
Brown, Susan D.
Arterburn, David E.
Daley, Matthew F.
Horberg, Michael
Koebnick, Corinna
Oshiro, Caryn
Young, Deborah R.
author_sort Fitzpatrick, Stephanie L.
collection PubMed
description OBJECTIVE: The purpose of this study was to model weight trajectories over a 5‐year time period (2012–2016) and their association with behavioural and psychosocial characteristics and health care–related experiences using data from the Patient Outcomes Research to Advance Learning (PORTAL) overweight/obesity cohort. METHODS: Weight trajectories for each eligible patient in the PORTAL overweight/obesity cohort (n = 2864) were identified first using growth modelling; trajectories were then grouped using a hierarchical cluster analysis. Weight trajectory clusters that emerged were compared on demographics, and predictors of cluster membership were examined. Clusters were also compared on responses to a survey assessing health behaviours, quality of life, and health care experience completed in 2015 by 49% of the total sample (n = 1391). RESULTS: Seven distinct weight trajectory clusters were identified: (a) significant weight loss then maintenance; (b) higher stable weight; (c) moderate stable weight; (d) steady weight loss then relapse; (e) weight gain then weight loss; (f) steady weight gain then maintenance; and (g) lower stable weight. Age, sex, race/ethnicity, and body mass index at baseline predicted patient's weight trajectory (P < .001). Over two thirds of patients maintained their weight over the 5‐year period. Significant weight loss then maintenance, weight gain then weight loss, and higher stable weight patients were more likely to report receiving weight counselling from their provider. Patients in the significant weight loss then maintenance and lower stable weight clusters were more likely to be physically active than the other clusters. CONCLUSION: Findings suggest variability in patterns of weight change among adults with overweight or obesity who have access to health care and that these patterns differ on demographic, behavioural and psychosocial factors, and health care experience.
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spelling pubmed-72789102020-06-09 Behavioural and psychosocial factors associated with 5‐year weight trajectories within the PORTAL Overweight/Obesity Cohort Fitzpatrick, Stephanie L. Rosales, Ana G. Brown, Susan D. Arterburn, David E. Daley, Matthew F. Horberg, Michael Koebnick, Corinna Oshiro, Caryn Young, Deborah R. Obes Sci Pract Original Articles OBJECTIVE: The purpose of this study was to model weight trajectories over a 5‐year time period (2012–2016) and their association with behavioural and psychosocial characteristics and health care–related experiences using data from the Patient Outcomes Research to Advance Learning (PORTAL) overweight/obesity cohort. METHODS: Weight trajectories for each eligible patient in the PORTAL overweight/obesity cohort (n = 2864) were identified first using growth modelling; trajectories were then grouped using a hierarchical cluster analysis. Weight trajectory clusters that emerged were compared on demographics, and predictors of cluster membership were examined. Clusters were also compared on responses to a survey assessing health behaviours, quality of life, and health care experience completed in 2015 by 49% of the total sample (n = 1391). RESULTS: Seven distinct weight trajectory clusters were identified: (a) significant weight loss then maintenance; (b) higher stable weight; (c) moderate stable weight; (d) steady weight loss then relapse; (e) weight gain then weight loss; (f) steady weight gain then maintenance; and (g) lower stable weight. Age, sex, race/ethnicity, and body mass index at baseline predicted patient's weight trajectory (P < .001). Over two thirds of patients maintained their weight over the 5‐year period. Significant weight loss then maintenance, weight gain then weight loss, and higher stable weight patients were more likely to report receiving weight counselling from their provider. Patients in the significant weight loss then maintenance and lower stable weight clusters were more likely to be physically active than the other clusters. CONCLUSION: Findings suggest variability in patterns of weight change among adults with overweight or obesity who have access to health care and that these patterns differ on demographic, behavioural and psychosocial factors, and health care experience. John Wiley and Sons Inc. 2020-02-27 /pmc/articles/PMC7278910/ /pubmed/32523716 http://dx.doi.org/10.1002/osp4.411 Text en © 2020 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Fitzpatrick, Stephanie L.
Rosales, Ana G.
Brown, Susan D.
Arterburn, David E.
Daley, Matthew F.
Horberg, Michael
Koebnick, Corinna
Oshiro, Caryn
Young, Deborah R.
Behavioural and psychosocial factors associated with 5‐year weight trajectories within the PORTAL Overweight/Obesity Cohort
title Behavioural and psychosocial factors associated with 5‐year weight trajectories within the PORTAL Overweight/Obesity Cohort
title_full Behavioural and psychosocial factors associated with 5‐year weight trajectories within the PORTAL Overweight/Obesity Cohort
title_fullStr Behavioural and psychosocial factors associated with 5‐year weight trajectories within the PORTAL Overweight/Obesity Cohort
title_full_unstemmed Behavioural and psychosocial factors associated with 5‐year weight trajectories within the PORTAL Overweight/Obesity Cohort
title_short Behavioural and psychosocial factors associated with 5‐year weight trajectories within the PORTAL Overweight/Obesity Cohort
title_sort behavioural and psychosocial factors associated with 5‐year weight trajectories within the portal overweight/obesity cohort
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278910/
https://www.ncbi.nlm.nih.gov/pubmed/32523716
http://dx.doi.org/10.1002/osp4.411
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