Document detail
ID

doi:10.1186/s12888-022-04407-y...

Author
Cui, ChunYing Wang, Lie Wang, XiaoXi
Langue
en
Editor

BioMed Central

Category

Medicine & Public Health

Year

2022

listing date

12/7/2022

Keywords
cancer social constraints fear of progression social support latent profile analysis level support scale breast cancer social patients
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Abstract

Background The present study aimed to identify profiles of social constraints among Chinese breast cancer patients and to explore the variables associated with these patterns.

Methods 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.

Results 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.

Conclusion 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.

Cui, ChunYing,Wang, Lie,Wang, XiaoXi, 2022, Profiles of social constraints and associated factors among breast cancer patients: a latent profile analysis, BioMed Central

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