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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 |
Sumario: | 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. |
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