Exploring the influence of gender‐role socialization and objectified body consciousness on body image disturbance in breast cancer survivors
Bibliographic record
Abstract
OBJECTIVE: This study aimed to explore the relationships between gender-role socialization, objectified body consciousness and quality of life in breast cancer (BC) survivors with body image (BI) disturbance post-treatment. METHODS: A total of 150 BC survivors participating in an ongoing randomized clinical trial of a group psychotherapy intervention for BI-related concerns completed a baseline battery of standardized measures including the following: Body Image Scale (BIS), Body Image after Breast Cancer Questionnaire (BIBCQ), Objectified Body Consciousness Scale (OBCS) measuring Body Shame and Surveillance, Gender-Role Socialization Scale (GRSS) measuring internalization of traditional gender roles and attitudes and the Functional Assessment of Cancer Therapy-Breast Quality-of-Life Instrument (FACT-B). Correlational analyses were conducted between the two BI questionnaires, the two primary psychosocial variables GRSS and OBCS, and FACT-B. Path analysis was conducted on a proposed theoretical model delineating pathways between the two primary psychosocial variables and BI disturbance. RESULTS: Significant positive correlations were found between the two BI scales and (a) GRSS (average r = 0.53, p < 0.000), (b) Body Shame (average r = 0.53, p < 0.000) and Surveillance (average r = 0.48, p < 0.000). The BIS and BIBCQ were negatively associated with the FACT-B (r = -0.62, -0.73, respectively; p < 0.000). Results from the path analysis demonstrated support for the proposed model. CONCLUSION: Breast cancer survivors who endorsed greater internalization of traditional gender roles and attitudes, who engaged in greater self-surveillance and experienced greater body shame, reported greater BI disturbance and poorer quality of life post-treatment. Women with these predispositions are likely to be more vulnerable for psychological distress and may experience poorer adjustment after BC treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".