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中国防痨杂志 ›› 2026, Vol. 48 ›› Issue (1): 84-93.doi: 10.19982/j.issn.1000-6621.20250284

• 论著 • 上一篇    下一篇

中青年肺结核患者恐惧疾病进展的潜在剖面及影响因素分析

陈薇薇1, 邹圣强1(), 袁嘉2, 吴荣珍3, 施玲燕3   

  1. 1江苏大学附属镇江三院重症医学科,镇江212000
    2苏州市第五人民医院外科,苏州215000
    3苏州市第五人民医院护理部,苏州215000
  • 收稿日期:2025-07-08 出版日期:2026-01-10 发布日期:2025-12-31
  • 通信作者: 邹圣强 E-mail:1210xyz@163.com
  • 基金资助:
    国家重点研发计划项目(HXKT2024005)

Latent profiles of fear of disease progression and associated factors in young and middle-aged adults with pulmonary tuberculosis

Chen Weiwei1, Zou Shengqiang1(), Yuan Jia2, Wu Rongzhen3, Shi Lingyan3   

  1. 1Department of Critical Care Medicine, The Third People’s Hospital of Zhenjiang, Affiliated to Jiangsu University, Zhenjiang 212000, China
    2Department of Surgery, The Fifth People’s Hospital of Suzhou, Suzhou 215000,China
    3Department of Nursing Administration, The Fifth People’s Hospital of Suzhou, Suzhou 215000, China
  • Received:2025-07-08 Online:2026-01-10 Published:2025-12-31
  • Contact: Zou Shengqiang E-mail:1210xyz@163.com
  • Supported by:
    National Key Research and Development Program of China(HXKT2024005)

摘要:

目的: 探究中青年肺结核患者恐惧疾病进展的潜在剖面类别,并分析不同类别的影响因素。方法: 采用便利抽样法,选取2025年1—6月在苏州市第五人民医院住院的312例中青年肺结核患者作为调查对象,采用一般资料调查表、恐惧疾病进展简化量表、一般自我效能感量表、慢性病治疗经济毒性功能评估综合评分量表、领悟社会支持量表、结核病污名感受量表进行调查。对中青年肺结核患者恐惧疾病进展进行潜在剖面分析,并通过单因素分析和多元logistic回归分析其影响因素。结果: 中青年肺结核患者恐惧疾病进展可分为2个潜在剖面类别,即“低恐惧风险-疾病适应组”(184例,58.97%),其恐惧疾病进展简化量表平均得分为(28.19±5.41)分;以及“高恐惧风险-功能失调组”(128例,41.03%),其恐惧疾病进展简化量表平均得分为(41.65±5.20)分。多因素logistic回归分析显示,经济安全感(OR=0.894,95%CI:0.808~0.989)、家庭支持(OR=0.900,95%CI:0.835~0.970)是恐惧疾病进展的保护因素,而已婚(OR=2.410,95%CI:1.101~5.275)、新型农村合作医疗(OR=2.436,95%CI:1.083~5.481)、治疗阶段3~6个月(OR=2.628,95%CI:1.316~5.251)、治疗阶段>6个月(OR=4.621,95%CI:1.979~10.789)、经济压力与负担(OR=1.200,95%CI:1.081~1.331)、未来经济担忧(OR=1.157,95%CI:1.034~1.295)、自我负面感受(OR=1.086,95%CI:1.026~1.150)是导致患者归属于高恐惧风险组的危险因素。结论: 中青年肺结核患者恐惧疾病进展水平具有明显的异质性,护士应根据分类特点制定相应干预策略。

关键词: 结核,肺, 恐惧, 因素分析, 统计学

Abstract:

Objective: To identify latent profile categories of fear of disease progression in young and middle-aged tuberculosis patients and to analyze the influencing factors associated with these categories. Methods: A convenience sampling approach was employed to select 312 young and middle-aged tuberculosis patients hospitalized in the Fifth People’s Hospital of Suzhou from January 2025 to June 2025. Data were collected using a general information questionnaire, the Simplified Fear of Disease Progression Scale, the General Self-Efficacy Scale, the Comprehensive Scoring Scale for Financial Toxicity Functional Assessment of Chronic Illness Therapy, the Perceived Social Support Scale, and the Tuberculosis Stigma Perception Scale. Latent profile analysis was performed to identify distinct categories of fear of disease progression. Univariate and multivariate logistic regression analyses were conducted to determine the influencing factors. Results: The fear of disease progression in young and middle-aged tuberculosis patients was classified into two latent profile categories: the “Low Fear Risk-Disease Adaptation Group” (n=184, 58.97%) with a mean score of (28.19±5.41) on the Simplified Fear of Disease Progression Scale, and the “High Fear Risk-Dysfunction Group” (n=128, 41.03%) with a mean score of (41.65±5.20). Multivariate logistic regression analysis revealed that economic security (OR=0.894, 95%CI: 0.808-0.989) and family support (OR=0.900, 95%CI: 0.835-0.970) were protective factors against fear of disease progression, while being married (OR=2.410, 95%CI: 1.101-5.275), participation in the New Rural Cooperative Medical System (OR=2.436, 95%CI: 1.083-5.481), treatment duration of 3 to 6 months (OR=2.628, 95%CI: 1.316-5.251), treatment duration >6 months (OR=4.621, 95%CI: 1.979-10.789), economic pressure and burden (OR=1.200, 95%CI: 1.081-1.331), future economic concerns (OR=1.157, 95%CI: 1.034-1.295), and negative self-feelings (OR=1.086, 95%CI: 1.026-1.150) were risk factors leading patients to the high fear risk group. Conclusion: The fear of disease progression in young and middle-aged tuberculosis patients exhibits significant heterogeneity. Tailored interventions based on identified profile categories are essential to address the varying needs of these patients effectively.

Key words: Tuberculosis, pulmonary, Fear, Factor analysis, statistical

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