Department of Social Medicine, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, 110122, Shenyang, Liaoning, PR China.
Medical Basic Experimental Teaching Center, China Medical University, No.77 Puhe Road, Shenyang North New Area, 110122, Shenyang, Liaoning, PR China.
BMC Psychiatry. 2022 Nov 30;22(1):750. doi: 10.1186/s12888-022-04407-y.
The present study aimed to identify profiles of social constraints among Chinese breast cancer patients and to explore the variables associated with these patterns.
The study recruited 133 Chinese breast cancer patients in Liaoning Province, China, between June 2021 and February 2022. The questionnaire package included the Social Constraints Scale (SCS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), and the Social Impact Scale (SIS). The methods of statistical analysis used included latent profile analysis (LPA) and multinomial logistic regression.
Three latent patterns of social constraints were found: class 1-the low social constraints group (51.9%), class 2-the moderate social constraints group (35.3%), and class 3-the high social constraints group (12.8%). Patients with high social support were more likely to report a low level of social constraint, while patients with a greater fear of progression were more likely to report a moderate or high level of social constraints. Significant differences existed among the latent classes identified by reference to social constraint in terms of education.
These results suggest that breast cancer patients' perceptions of social constraints vary and exhibit individual differences. Health care providers should take into account patients' fear of progression as well as their social support when developing interventions for patients with a high level of social constraints.
本研究旨在识别中国乳腺癌患者的社会约束特征，并探讨与这些模式相关的变量。
本研究于 2021 年 6 月至 2022 年 2 月期间在中国辽宁省招募了 133 名中国乳腺癌患者。问卷包包括社会约束量表（SCS）、多维感知社会支持量表（MSPSS）、进展恐惧问卷-短表（FoP-Q-SF）和社会影响量表（SIS）。使用的统计分析方法包括潜在剖面分析（LPA）和多项逻辑回归。
发现了三种社会约束的潜在模式：第 1 类-低社会约束组（51.9%）、第 2 类-中社会约束组（35.3%）和第 3 类-高社会约束组（12.8%）。社会支持程度较高的患者更有可能报告低水平的社会约束，而对进展恐惧程度较高的患者更有可能报告中或高水平的社会约束。参照社会约束，在教育方面，不同潜在类别之间存在显著差异。
这些结果表明，乳腺癌患者对社会约束的感知存在差异，表现出个体差异。医疗保健提供者在为高水平社会约束的患者制定干预措施时，应考虑患者对进展的恐惧以及他们的社会支持。
