Trajectories and predictors of social avoidance in female patients with breast cancer
BackgroundSocial avoidance plays an important role in influencing quality of life among patients with breast cancer. Social avoidance behaviors change with treatment periods. However, the trajectory patterns and the predictive factors have not been fully studied.ObjectiveThis study examined the grow...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1051737/full |
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| author | Chunyan He Chao Wu Tianqi Yang Yang He Jiaran Yan Yawei Lin Yanling Du Shizhe He Shengjun Wu Baohua Cao |
| author_facet | Chunyan He Chao Wu Tianqi Yang Yang He Jiaran Yan Yawei Lin Yanling Du Shizhe He Shengjun Wu Baohua Cao |
| author_sort | Chunyan He |
| collection | DOAJ |
| description | BackgroundSocial avoidance plays an important role in influencing quality of life among patients with breast cancer. Social avoidance behaviors change with treatment periods. However, the trajectory patterns and the predictive factors have not been fully studied.ObjectiveThis study examined the growth trajectory of social avoidance and its predictors in patients with breast cancer.Materials and methodsA total of 176 patients with breast cancer in a university hospital in Shaanxi Province, China, were followed up four times over 6 months following surgery, and data from the final 144 patients were analyzed. The growth mixed model (GMM) was used to identify the trajectory categories, and the predictive factors of the trajectory types were analyzed by logistic regression.ResultsThe best-fit growth mixture modeling revealed three class models: persistent high social avoidance group (Class 1), social avoidance increased first and then decreased group (Class 2), and no social avoidance group (Class 3), accounting for 13.89, 31.94, and 54.17% of patients, respectively. Single-factor analysis showed that family income per capita, residence, and temperament type were related to the social avoidance trajectory. Logistic regression analysis showed that only temperament type was an independent predictor of the social avoidance trajectory, and patients with melancholia were more likely to have persistent high social avoidance.ConclusionOur study proved the heterogeneity of social avoidance behaviors and the influencing effect of temperament type on the development of social avoidance behaviors in Chinese patients with breast cancer. Health professionals should pay more attention to patients who are at higher risk of developing a persistent social avoidance pattern and provide target interventions. |
| first_indexed | 2024-04-11T07:59:25Z |
| format | Article |
| id | doaj.art-bb2965d14db9499fb05b225ebf44fc5a |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-04-11T07:59:25Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-bb2965d14db9499fb05b225ebf44fc5a2022-12-22T04:35:47ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-11-011310.3389/fpsyt.2022.10517371051737Trajectories and predictors of social avoidance in female patients with breast cancerChunyan He0Chao Wu1Tianqi Yang2Yang He3Jiaran Yan4Yawei Lin5Yanling Du6Shizhe He7Shengjun Wu8Baohua Cao9Department of Nursing, Fourth Military Medical University, Xi’an, Shaanxi, ChinaDepartment of Nursing, Fourth Military Medical University, Xi’an, Shaanxi, ChinaDepartment of Psychology, Fourth Military Medical University, Xi’an, Shaanxi, ChinaDepartment of Psychology, Fourth Military Medical University, Xi’an, Shaanxi, ChinaDepartment of Nursing, Fourth Military Medical University, Xi’an, Shaanxi, ChinaDepartment of Nursing, Fourth Military Medical University, Xi’an, Shaanxi, ChinaDepartment of Nursing, Fourth Military Medical University, Xi’an, Shaanxi, ChinaDepartment of Nursing, Fourth Military Medical University, Xi’an, Shaanxi, ChinaDepartment of Psychology, Fourth Military Medical University, Xi’an, Shaanxi, ChinaDepartment of Nursing, Fourth Military Medical University, Xi’an, Shaanxi, ChinaBackgroundSocial avoidance plays an important role in influencing quality of life among patients with breast cancer. Social avoidance behaviors change with treatment periods. However, the trajectory patterns and the predictive factors have not been fully studied.ObjectiveThis study examined the growth trajectory of social avoidance and its predictors in patients with breast cancer.Materials and methodsA total of 176 patients with breast cancer in a university hospital in Shaanxi Province, China, were followed up four times over 6 months following surgery, and data from the final 144 patients were analyzed. The growth mixed model (GMM) was used to identify the trajectory categories, and the predictive factors of the trajectory types were analyzed by logistic regression.ResultsThe best-fit growth mixture modeling revealed three class models: persistent high social avoidance group (Class 1), social avoidance increased first and then decreased group (Class 2), and no social avoidance group (Class 3), accounting for 13.89, 31.94, and 54.17% of patients, respectively. Single-factor analysis showed that family income per capita, residence, and temperament type were related to the social avoidance trajectory. Logistic regression analysis showed that only temperament type was an independent predictor of the social avoidance trajectory, and patients with melancholia were more likely to have persistent high social avoidance.ConclusionOur study proved the heterogeneity of social avoidance behaviors and the influencing effect of temperament type on the development of social avoidance behaviors in Chinese patients with breast cancer. Health professionals should pay more attention to patients who are at higher risk of developing a persistent social avoidance pattern and provide target interventions.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1051737/fullsocial avoidancebreast cancertrajectorygrowth mixed modelnursing |
| spellingShingle | Chunyan He Chao Wu Tianqi Yang Yang He Jiaran Yan Yawei Lin Yanling Du Shizhe He Shengjun Wu Baohua Cao Trajectories and predictors of social avoidance in female patients with breast cancer Frontiers in Psychiatry social avoidance breast cancer trajectory growth mixed model nursing |
| title | Trajectories and predictors of social avoidance in female patients with breast cancer |
| title_full | Trajectories and predictors of social avoidance in female patients with breast cancer |
| title_fullStr | Trajectories and predictors of social avoidance in female patients with breast cancer |
| title_full_unstemmed | Trajectories and predictors of social avoidance in female patients with breast cancer |
| title_short | Trajectories and predictors of social avoidance in female patients with breast cancer |
| title_sort | trajectories and predictors of social avoidance in female patients with breast cancer |
| topic | social avoidance breast cancer trajectory growth mixed model nursing |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1051737/full |
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