中华护理杂志 ›› 2026, Vol. 61 ›› Issue (5): 674-681.DOI: 10.3761/j.issn.0254-1769.2026.05.014

• 专科护理实践与研究 • 上一篇    下一篇

减重代谢手术后患者治疗依从性现状及影响因素分析

叶惠林1(), 邬小容1, 唐维荣1, 殷云睿1, 李跃荣2,*()   

  1. 1.重庆医科大学附属第一医院护理部 重庆市 400016
    2.重庆医科大学附属第一医院麻醉科 重庆市 400016
  • 收稿日期:2025-10-13 出版日期:2026-03-10 发布日期:2026-03-05
  • *通讯作者: 李跃荣,E-mail:liyuerong12@sohu.com
  • 作者简介:叶惠林:女,硕士,主管护师,E-mail:824588321@qq.com
  • 基金资助:
    重庆医科大学附属第一医院护理科研创新项目(HLZD202404)

The status and influencing factors of treatment adherence among patients after bariatric surgery

YE Huilin1(), WU Xiaorong1, TANG Weirong1, YIN Yunrui1, LI Yuerong2,*()   

  1. 1. Department of Nursing,the First Affiliated Hospital of Chongqing Medical University,Chongqing 400016,China
    2. Department of Anesthesiology,the First Affiliated Hospital of Chongqing Medical University,Chongqing 400016,China
  • Received:2025-10-13 Online:2026-03-10 Published:2026-03-05
  • * Corresponding author: LI Yuerong,E-mail:liyuerong12@sohu.com
  • Funding program:
    Nursing Research and Innovation Program of the First Affiliated Hospital of Chongqing Medical University(HLZD202404)

摘要:

目的 了解减重代谢手术后患者治疗依从性现状并分析其影响因素,为制订个性化干预策略提供参考。 方法 采用便利抽样法,于2024年2—4月选取重庆市某三级甲等医院减重代谢手术后复查与随访的451例患者为调查对象。使用一般资料调查表及减重手术后患者治疗依从性量表进行调查,采用潜在剖面分析、多元Logistic回归分析进行数据分析。 结果 回收有效问卷434份,有效问卷回收率为96.23%。减重代谢手术后患者治疗依从性总分为(62.81±17.40)分,其治疗依从性分为4个潜在类别,即高依从组(28.34%)、随访驱动组(26.73%)、自我管理组(21.89%)与低依从组(23.04%)。性别、手术后时间与目前BMI是减重代谢手术后患者治疗依从性潜在剖面分类的影响因素(P<0.05)。 结论 减重代谢手术后患者治疗依从性处于中等水平且存在异质性,并受多种因素影响。医护人员可根据不同类别特征及影响因素,制订个性化干预方案,以提升患者的治疗依从性并改善减重效果。

关键词: 减重代谢手术, 治疗依从性, 潜在剖面分析, 影响因素分析, 护理

Abstract:

Objective To investigate the status and influencing factors of treatment adherence among patients after bariatric surgery,and to provide a reference for developing individualized intervention strategies. Methods Using convenience sampling,we recruited 451 patients who completed postoperative follow-up after bariatric surgery at a tertiary Grade A hospital in Chongqing,China,between February and April 2024. The general information questionnaire and the Treatment Adherence Scale for Post-Bariatric Surgery Patients were administered. Latent profile analysis and multinomial logistic regression were performed for data analysis. Results A total of 434 valid questionnaires were collected,yielding an effective response rate of 96.23%. The total score for treatment adherence was(62.81±17.40) points. Treatment adherence among patients after bariatric surgery could be categorized into 4 latent profiles:high adherence group(28.34%),follow-up-driven group(26.73%),self-management group(21.89%),and low adherence group(23.04%). Gender,time since surgery,and current body mass index(BMI) were significant factors associated with latent profile classification of treatment adherence in patients after bariatric metabolic surgery(P<0.05). Conclusion Treatment adherence after bariatric surgery is suboptimal and heterogeneous,influenced by multiple factors. Healthcare professionals may develop individualized intervention programs based on the characteristics and associated factors of each profile to improve treatment adherence and optimize weight-loss outcomes.

Key words: Bariatric Surgery, Treatment Adherence, Latent Profile Analysis, Root Cause Analysis, Nursing Care