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. 2021 May 31;18(11):5931.
doi: 10.3390/ijerph18115931.

Causal Attributions in Breast Cancer Patients Planning to Undergo Adjuvant Endocrine Therapy

Seul Ki Park  1 , Yul Ha Min  2 , Minsun Lee  3 , Sae Byul Lee  4
Affiliations

Causal Attributions in Breast Cancer Patients Planning to Undergo Adjuvant Endocrine Therapy

Seul Ki Park et al. Int J Environ Res Public Health. .

Abstract

The aim of this study was to explore causal attributions among Korean breast cancer patients who were planning to undergo adjuvant endocrine therapy (AET) as well as the relationships between patient demographic and clinical characteristics and their causal attributions. Causal attributions were assessed with an open-ended response item, which asked patients to list what they thought were the three most important causal factors of their illness. The relationships between patient characteristics and causal attributions were determined through univariate analysis, and the relationships between causal attributions were obtained using social network analysis. A total of 299 participants provided 707 responses. Stress, diet, and exercise were believed to be the three most likely causes of breast cancer. There were no significant differences between causal attributions and the age, education level, marital status, or cancer stage of patients. However, there were differences in the associations between personality, genetics, and reproductive history and patient-identified causal attributions according to the patients' family history of cancer. Patients with a family history of cancer were more likely to believe that personality and genetics/family history were causes of breast cancer compared to patients without such a history. Therefore, it is necessary to educate patients to perceive stress and lifestyle-related factors as modifiable causal factors in order to have a positive effect on their adherence to AET.

Keywords: breast neoplasm; causality; perception.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The flow of study participants selection.
Figure 2
Figure 2
Frequency (number) of causal attribution categories reported by breast cancer patients.
Figure 3
Figure 3
Network of causal attributions of breast cancer in patients with no family history of cancer (nodes of the same color mean that they belong to the same category.).
Figure 4
Figure 4
Network of causal attributions of breast cancer in patients with a family history of cancer (nodes of the same color mean that they belong to the same category.).
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