Evidence map›Paper›PMID 42709228›Full record

Observational studySupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Characteristics and influencing factors of demoralization in ovarian cancer: a latent profile analysis.

Yuanyuan Pang, Hongxiu Liu, Qifan Ding, Ru Feng, Zexuan Fan, Qian Yue, Siqi Wei

Abstract readMulticenter StudyObservational Study
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Observational study in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yuanyuan Pang *School of Nursing, Lanzhou University, #28 Yanxi Road, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Hongxiu Liu *School of Nursing, Lanzhou University, #28 Yanxi Road, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Qifan DingSchool of Nursing, Lanzhou University, #28 Yanxi Road, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Ru FengSchool of Nursing, Lanzhou University, #28 Yanxi Road, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Zexuan FanSchool of Nursing, Lanzhou University, #28 Yanxi Road, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Qian YueSchool of Nursing, Lanzhou University, #28 Yanxi Road, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Siqi WeiSchool of Nursing, Lanzhou University, #28 Yanxi Road, Chengguan District, Lanzhou City, 730000, Gansu Province, China. weisq@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify the potential subgroups of demoralization in ovarian cancer patients and explore the influencing factors associated with different potential subgroups.

methodsThis multicenter cross-sectional study recruited 309 ovarian cancer patients using convenience sampling from five tertiary hospitals in Lanzhou City, Gansu Province, China, between June 2024 and February 2025. Participants were assessed using a sociodemographic and disease-related questionnaire, the Demoralization Scale Mandarin Version (DS-MV), the Chinese version of the Memorial Symptom Assessment Scale (MSAS-Ch), the Patient Health Questionnaire (PHQ-9), the Medical Coping Modes Questionnaire (MCMQ), and the Perceived Social Support Scale (PSSS). Latent profile analysis (LPA) was employed to explore potential subgroups of demoralization among ovarian cancer patients. Univariate analyses and multivariate logistic regression analyses were conducted to analyze influencing factors associated with different potential subgroups.

resultsThe average demoralization score among ovarian cancer patients was 35.61 ± 8.51. Demoralization of ovarian cancer patients was divided into three classes: the critical demoralization-stable group (57%), the moderate demoralization-helplessness group (30.7%), and the high demoralization-distress group (12.3%). Multivariate logistic regression analysis revealed that the number of chemotherapy sessions, symptom burden, coping styles, and social support were the influencing factors for the potential profile of demoralization in ovarian cancer patients (P < 0.05).

conclusionThe demoralization in ovarian cancer patients exhibits heterogeneity. Healthcare professionals should prioritize identifying high-risk subgroups and develop targeted clinical symptom management strategies to prevent or alleviate demoralization.

Indexed as

Adaptation, PsychologicalOvarian NeoplasmsAdultAgedChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisLogistic ModelsMiddle AgedSocial SupportSurveys and QuestionnairesA latent profile analysisDemoralizationInfluencing factorsOvarian cancer

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.