Relationship between self-psychological adjustment and post-traumatic growth in patients with lung cancer undergoing chemotherapy: a cross-sectional study.

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作者:Liu Na, Zhang Lei, Liu Yaxin, Ding Xuemei, Li Qing, Lixia Gao, Zhang Xiaoli
OBJECTIVES: This study aimed to determine the potential profiles of self-psychological adjustment in patients with lung cancer undergoing chemotherapy, including sense of coherence (SOC) and positive cognitive emotion regulation (PCER). The relationship between these profiles with post-traumatic growth (PTG) and the relevant factors of self-psychological adjustment in different profiles was analysed. DESIGN: Cross-sectional study. SETTING: Patients with lung cancer undergoing chemotherapy in China. PARTICIPANTS: A total of 330 patients with lung cancer undergoing chemotherapy were recruited out of which 321 completed the questionnaires effectively. METHODS: Latent profile analysis was used to identify self-psychological adjustment classes based on the two subscales of the Sense of Coherence Scale and Cognitive Emotion Regulation Questionnaire. One-way analysis of variance and multinomial logistic regression were performed to examine the subgroup association with characteristics and PTG. RESULTS: Three latent profiles of self-psychological adjustment were identified: low level (54.5%), high SOC-low PCER (15.6%) and high PCER (29.9%). The results of univariate analysis showed a significant difference in PTG scores among different self-psychological adjustment subgroups (F=11.55, p<0.001). Patients in the high-PCER group were more likely living in urban areas (OR=2.41, 95% CI 1.17 to 4.97, p=0.02), and time since cancer diagnosis was ≥6 months and <1 year (OR=3.54, 95% CI 1.3 to 9.64, p<0.001). CONCLUSION: This study revealed that most patients with lung cancer undergoing chemotherapy belonged to the low-level group. Three profiles are associated with PTG. There were differences in characteristics between patients treated with chemotherapy for lung cancer in the high-PCER and low-PCER groups. Thus, these profiles provide useful information for developing targeted individualised interventions based on demographic characteristics that would assist PTG in patients with lung cancer undergoing chemotherapy.

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