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OBJECTIVE: This study employed a latent profile analysis (LPA) to identify distinct subgroups of learned helplessness among Chinese breast cancer chemotherapy patients and examined influencing factors. METHODS: Through convenience sampling, 260 breast cancer chemotherapy patients aged 18-74 years from a tertiary hospital in Henan Province were recruited between May 2024 and January 2025. Data were collected using a general demographic questionnaire, the Learned Helplessness Scale, the Brief Illness Perception Questionnaire, the Social Support Rating Scale, and the General Self-Efficacy Scale. An LPA was applied to classify learned helplessness patterns, followed by a multivariate logistic regression to determine the influencing factors. RESULTS: The latent profile analysis revealed three distinct profiles of learned helplessness among breast cancer patients undergoing chemotherapy: a "low helplessness-low hopelessness stable profile" (17.0%), a "moderate helplessness-moderate hopelessness fluctuating profile" (52.0%), and a "high helplessness-high hopelessness profile" (31.0%). The multivariable logistic regression revealed that age range 18-44 years, low monthly household income per capita, fatigue, and illness perception were significantly associated with the "high helplessness-high hopelessness profile" (P < 0.05). Conversely, the age range 45-59 years was significantly associated with the "moderate helplessness-moderate hopelessness fluctuating profile" (P < 0.001). Furthermore, experiencing ≤2 chemotherapy-related side effects, a higher level of perceived social support, and greater self-efficacy were significant predictors of membership in the "low helplessness-low hopelessness profile" (P < 0.05). CONCLUSION: Breast cancer chemotherapy patients were categorized into three distinct subgroups, which were influenced by age, income, fatigue, treatment side effects, illness perception, self-efficacy, and social support.
Li et al. (Wed,) studied this question.