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A latent profile analysis of self-management behavior among patients after metabolic bariatric surgery

Front Health Serv. 2026 Mar 13;6:1774099. doi: 10.3389/frhs.2026.1774099. eCollection 2026.

ABSTRACT

INTRODUCTION: Obesity has emerged as a global public health epidemic with far-reaching health consequences. While metabolic bariatric surgery (MBS) is an established therapeutic modality for moderate-to-severe obesity and associated metabolic disorders, enabling rapid weight reduction and metabolic improvement, postoperative weight regain remains a critical barrier to sustaining long-term treatment efficacy. Indeed, the durability of surgical outcomes is heavily contingent upon patients’ ability to engage in sustained self-management behaviors.

AIMS: To characterize the patterns of self-management behavior among patients after metabolic bariatric surgery using latent profile analysis, and to examine the relationships among these latent profiles.

METHODS: A cross-sectional study was carried out at one general hospital. A total of 242 patients after metabolic bariatric surgery completed the socio-demographic questionnaire, Bariatric Surgery Self-Management Questionnaire, General Self-efficacy Scale, and International Physical Activity Questionnaire.

RESULTS: Three latent profiles were identified: high self-management behavior group (n = 28, 11.57%), moderate self-management behavior group (n = 156, 64.46%) and low self-management behavior group (n = 58, 23.97%). The ANOVA and chi-square tests demonstrated significant differences among three groups concerning age and educational level. Multinomial logistic regression analysis indicated that employment condition, smoking and drinking history significantly predicted self-management behavior.

CONCLUSIONS: The statistical analysis indicated that the majority of patients fall into the moderate self-management group. Further regression analysis demonstrated significant associations between self-management proficiency and both age and educational level. These findings highlight the need for tailored interventions targeting specific patient profiles.

PMID:41924715 | PMC:PMC13036972 | DOI:10.3389/frhs.2026.1774099

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