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Trajectory Analysis and Predictors of the Percentage of Body Fat Among Chinese Sleeve Gastrectomy Patients
BACKGROUND: The weight loss in Chinese patients after sleeve gastrectomy is different, and the differences can be evaluated through the trajectories of the percentage of body fat (BF%). Patients’ baseline psychosocial factors may be associated with these trajectories. MATERIALS AND METHODS: We selec...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721014/ https://www.ncbi.nlm.nih.gov/pubmed/35002268 http://dx.doi.org/10.2147/DMSO.S347032 |
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author | Zhao, Kang Xu, Xinyi Zhu, Hanfei Ren, Ziqi Zhang, Tianzi Yang, Ningli Zhu, Shuqin Xu, Qin |
author_facet | Zhao, Kang Xu, Xinyi Zhu, Hanfei Ren, Ziqi Zhang, Tianzi Yang, Ningli Zhu, Shuqin Xu, Qin |
author_sort | Zhao, Kang |
collection | PubMed |
description | BACKGROUND: The weight loss in Chinese patients after sleeve gastrectomy is different, and the differences can be evaluated through the trajectories of the percentage of body fat (BF%). Patients’ baseline psychosocial factors may be associated with these trajectories. MATERIALS AND METHODS: We selected 267 patients who received sleeve gastrectomy for the first time. The BF% at baseline and 1, 3, 6, 12 months after surgery and baseline psychosocial variables were retrospectively collected. The trajectory model was established according to BF% based on the growth mixture model. The baseline psychosocial variables were compared among different trajectory classes. RESULTS: Four types of trajectory classes were obtained. The differences in preoperative dietary self-efficacy, exercise self-efficacy, depression, social support, working status, alcohol consumption, and gender among the classes were statistically significant. The pairwise comparison of the above variables revealed that the differences of gender, dietary self-efficacy and exercise self-efficacy among classes were highly effective. CONCLUSION: Female gender, low dietary self-efficacy and low exercise self-efficacy were predictors for poor BF% trajectory in sleeve gastrectomy patients. Health professionals can early identify patients who are most likely to lose weight in a not-ideal manner based on the above predictors. |
format | Online Article Text |
id | pubmed-8721014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-87210142022-01-06 Trajectory Analysis and Predictors of the Percentage of Body Fat Among Chinese Sleeve Gastrectomy Patients Zhao, Kang Xu, Xinyi Zhu, Hanfei Ren, Ziqi Zhang, Tianzi Yang, Ningli Zhu, Shuqin Xu, Qin Diabetes Metab Syndr Obes Original Research BACKGROUND: The weight loss in Chinese patients after sleeve gastrectomy is different, and the differences can be evaluated through the trajectories of the percentage of body fat (BF%). Patients’ baseline psychosocial factors may be associated with these trajectories. MATERIALS AND METHODS: We selected 267 patients who received sleeve gastrectomy for the first time. The BF% at baseline and 1, 3, 6, 12 months after surgery and baseline psychosocial variables were retrospectively collected. The trajectory model was established according to BF% based on the growth mixture model. The baseline psychosocial variables were compared among different trajectory classes. RESULTS: Four types of trajectory classes were obtained. The differences in preoperative dietary self-efficacy, exercise self-efficacy, depression, social support, working status, alcohol consumption, and gender among the classes were statistically significant. The pairwise comparison of the above variables revealed that the differences of gender, dietary self-efficacy and exercise self-efficacy among classes were highly effective. CONCLUSION: Female gender, low dietary self-efficacy and low exercise self-efficacy were predictors for poor BF% trajectory in sleeve gastrectomy patients. Health professionals can early identify patients who are most likely to lose weight in a not-ideal manner based on the above predictors. Dove 2021-12-29 /pmc/articles/PMC8721014/ /pubmed/35002268 http://dx.doi.org/10.2147/DMSO.S347032 Text en © 2021 Zhao et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Zhao, Kang Xu, Xinyi Zhu, Hanfei Ren, Ziqi Zhang, Tianzi Yang, Ningli Zhu, Shuqin Xu, Qin Trajectory Analysis and Predictors of the Percentage of Body Fat Among Chinese Sleeve Gastrectomy Patients |
title | Trajectory Analysis and Predictors of the Percentage of Body Fat Among Chinese Sleeve Gastrectomy Patients |
title_full | Trajectory Analysis and Predictors of the Percentage of Body Fat Among Chinese Sleeve Gastrectomy Patients |
title_fullStr | Trajectory Analysis and Predictors of the Percentage of Body Fat Among Chinese Sleeve Gastrectomy Patients |
title_full_unstemmed | Trajectory Analysis and Predictors of the Percentage of Body Fat Among Chinese Sleeve Gastrectomy Patients |
title_short | Trajectory Analysis and Predictors of the Percentage of Body Fat Among Chinese Sleeve Gastrectomy Patients |
title_sort | trajectory analysis and predictors of the percentage of body fat among chinese sleeve gastrectomy patients |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721014/ https://www.ncbi.nlm.nih.gov/pubmed/35002268 http://dx.doi.org/10.2147/DMSO.S347032 |
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