卵巢癌患者情绪抑制特征及影响因素——潜在剖面分析。

IF 2 3区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Patient preference and adherence Pub Date : 2025-07-24 eCollection Date: 2025-01-01 DOI:10.2147/PPA.S534058
Yaru Wu, Yuting Zhang, Jing Yuan, Juan Yang, Ling Chen, Wei Zhu, Chunyan Xu
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引用次数: 0

摘要

背景:本定量研究旨在分析中国西部地区卵巢癌化疗患者情绪抑制特征的潜在类别,探讨不同类别情绪抑制特征的影响因素。方法:于2024年9月至2025年3月,采用方便抽样法对西北地区某大学附属医院妇科中心卵巢癌化疗患者进行问卷调查。调查采用一般信息问卷、情绪抑制量表(EIS)、社会约束量表(SCS)、家庭焦虑抑郁量表(APGAR)和医院焦虑抑郁量表(HADS)。采用潜伏谱分析(Latent profile analysis, LPA)确定卵巢癌化疗患者的情绪抑制水平谱。采用多项logistic回归分析卵巢癌化疗患者这些特征之间的相关性。结果:共228例卵巢癌化疗患者参与,情绪抑制平均得分为26.76±5.71分。LPA识别出3种情绪抑制类型:高水平情绪抑制-低语言抑制(类型1,13.0%)、高水平情绪抑制-高语言抑制(类型2,46.1%)和低水平情绪抑制-中等语言抑制(类型3,40.8%);多元Logistic回归分析显示,受教育程度(高/低)、焦虑症状、严重的家庭功能障碍、疾病复发(有)、婚姻状况(离婚/丧偶)和社会约束是显著影响因素。结论:我们的研究结果揭示了卵巢癌患者情绪抑制的显著异质性,为根据个体需求定制干预措施提供了有价值的信息,特别是对于高水平情绪抑制组的患者。为了提高患者的情绪管理能力,缓解患者的情绪抑制水平,医护人员应充分考虑疾病复发、文化程度、婚姻状况、焦虑程度、家庭支持、患者感知的医疗环境社会约束等因素对情绪调节亚组的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotional Suppression Characteristics and Influencing Factors of Ovarian Cancer Patients - Latent Profile Analysis.

Background: This quantitative study aimed to analyze the potential categories of emotional suppression characteristics and explore the influencing factors of different categories among ovarian cancer chemotherapy patients in Western Region of China.

Methods: From September 2024 to March 2025, a convenience sampling method was used to administer a questionnaire to ovarian cancer chemotherapy patients at a gynecology center within a university hospital situated in the Northwest region of China. The investigation employed general information questionnaires, the Emotional Inhibition Scale (EIS), Social Constraint Scales (SCS), Family APGAR Index (APGAR), and the Hospital Anxiety and Depression Scale (HADS). Latent profile analysis (LPA) was conducted to identify the profiles of emotional suppression levels in patients with ovarian cancer undergoing chemotherapy. Multinomial logistic regression was used to investigate the correlations among these profiles in ovarian cancer chemotherapy patients.

Results: A total of 228 ovarian cancer chemotherapy patients participated, yielding an average score of 26.76 ± 5.71 on the emotional suppression. The LPA identified three emotion suppression profiles: high level emotional inhibition-low verbal inhibition (Profile 1,13.0%), high level emotional inhibition-high verbal inhibition (Profile 2,46.1%) and low level emotional inhibition-medium verbal inhibition (Profile 3,40.8%); Multiple Logistic regression analysis revealed that educational attainment (high/low), anxiety symptoms, severe family dysfunction, disease recurrence (yes), marital status (divorced/widowed), and social constraint were significant contributing factors.

Conclusion: Our research findings reveal significant heterogeneity in emotional suppression among ovarian cancer patients, which provides valuable information for tailoring intervention measures to meet individual needs, especially for patients in the high-level emotional inhibition group. To enhance patients' emotional management capabilities and alleviate their levels of emotional inhibition, healthcare practitioners should fully consider how the emotional regulation subgroup is influenced by factors such as disease recurrence, educational background, marital status, anxiety levels, family support and patients' perceived social constraints in the medical environment.

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来源期刊
Patient preference and adherence
Patient preference and adherence MEDICINE, GENERAL & INTERNAL-
CiteScore
3.60
自引率
4.50%
发文量
354
审稿时长
6-12 weeks
期刊介绍: Patient Preference and Adherence is an international, peer reviewed, open access journal that focuses on the growing importance of patient preference and adherence throughout the therapeutic continuum. The journal is characterized by the rapid reporting of reviews, original research, modeling and clinical studies across all therapeutic areas. Patient satisfaction, acceptability, quality of life, compliance, persistence and their role in developing new therapeutic modalities and compounds to optimize clinical outcomes for existing disease states are major areas of interest for the journal. As of 1st April 2019, Patient Preference and Adherence will no longer consider meta-analyses for publication.
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