国际生殖健康/计划生育杂志 ›› 2024, Vol. 43 ›› Issue (6): 441-446.doi: 10.12280/gjszjk.20240311

• 论著 •    下一篇

辅助生殖技术助孕患者痛苦表露的潜在剖面分析

宋丹妮, 朱蓉, 蒲丛珊, 王义婷, 姜微微, 胡双, 单春剑()   

  1. 210004 南京医科大学附属妇产医院(南京市妇幼保健院)产科
  • 收稿日期:2024-06-27 出版日期:2024-11-15 发布日期:2024-11-12
  • 通讯作者: 单春剑,E-mail:shanchunjian@njmu.edu.cn
  • 基金资助:
    南京医科大学科技发展基金(NMUB20230076)

Latent Profile Analysis of Distress Disclosure in Patients Undergoing Assisted Reproductive Technology

SONG Dan-ni, ZHU Rong, PU Cong-shan, WANG Yi-ting, JIANG Wei-wei, HU Shuang, SHAN Chun-jian()   

  1. Department of Obstetrics, Women′s Hospital of Nanjing Medical University (Nanjing Women and Children′s Healthcare Hospital), Nanjing 210004, China
  • Received:2024-06-27 Published:2024-11-15 Online:2024-11-12
  • Contact: SHAN Chun-jian, E-mail: shanchunjian@njmu.edu.cn

摘要:

目的:了解辅助生殖技术助孕患者痛苦表露潜在类别,分析各类别的影响因素。方法:采用便利抽样法,选取2023年8—10月在南京医科大学附属妇产医院接受辅助生殖技术治疗的患者作为调查对象。采用一般资料问卷和痛苦表露指数量表进行调查。采用Mplus 8.0软件进行潜在剖面分析,使用SPSS 27.0软件进行单因素分析和多分类Logistic回归分析。结果:本研究共调查192例辅助生殖技术助孕患者,痛苦表露指数量表中位得分为39.00(31.00,47.00)分。痛苦表露共分为3种潜在剖面:低水平表露型(n=41,21.4%)、中等水平表露型(n=82,42.7%)和高水平表露型(n=69,35.9%)。多分类Logistic回归分析结果显示,文化程度、长期居住地、辅助生殖技术治疗周期数、生育压力主要来源、感知治疗期间经济负担、不孕原因是不同类别辅助生殖技术助孕患者痛苦表露的影响因素(均P<0.05)。结论:辅助生殖技术助孕患者痛苦表露具有明显的分类特征,医护人员应对不同痛苦表露特征的患者进行鉴别并针对性地采取护理支持措施,鼓励患者通过自我表露,减轻心理困扰。

关键词: 生殖技术, 辅助, 痛苦表露, 潜在剖面分析, 影响因素分析, 调查和问卷

Abstract:

Objective: To explore the latent profiles of distress disclosure in patients undergoing assisted reproductive technology (ART), and to analyze the influence factors among different classes. Methods: Through the convenience sampling, patients undergoing ART were recruited from Women′s Hospital of Nanjing Medical University from August to October 2023. Basic Information Questionnaire and Distress Disclosure Index(DDI) were collected. Mplus 8.0 was used for exploratory latent profile analysis, and SPSS 27.0 for univariate analysis and multinomial Logistic regression. Results: A total of 192 patients undergoing ART were finally investigated with a median DDI score 39.00 (31.00, 47.00). Distress disclosure manifested itself in 3 potential categories named low disclosure type (n=41, 21.4%), medium disclosure type (n=82, 42.7%) and high disclosure type (n=69, 35.9%). Multinomial Logistic regression showed that the education level, place of residence, number of ART treatment cycles, source of reproductive pressure, financial burden during treatment and the cause of infertility were factors influencing the latent profiles of distress disclosure in patients undergoing ART (all P<0.05). Conclusions: The distress disclosure in patients undergoing ART has obvious classification characteristics. Medical staff should identify patients and carry out the targeted interventions according to the patients with different distress disclosure characteristics to self-expression in order to reduce psychological distress.

Key words: Reproductive techniques, assisted, Distress disclosure, Latent profile analysis, Root cause analysis, Surveys and questionnaires