Factors associated with breast cancer-specific distress in younger women participating in a family history mammography screening programme.

Journal article

This multi-centre study examined factors associated with breast cancer-specific distress in 2321 women under 50 who are on a mammographic screening programme on account of their family history. Women were recruited from 21 UK centres, and completed a questionnaire one month before their screening appointment. The transactional theory of stress, appraisal, and coping provided the theoretical framework for the study. Factors measured included screening history, family history, perceived risk, cognitive appraisals, coping, optimism, and cancer worry. The findings indicate that the majority of women appraise their family history as being relevant and somewhat threatening to personal well-being, but something they can deal with emotionally. Acceptance was the most commonly used coping strategy. Hierarchical regression analysis identified that the factors most significantly associated with distress were an appraisal of high relevance and threat, increased risk perception, low dispositional optimism, and the use of both avoidant and task-orientated coping strategies. Women with children and those with relatives who have died from breast cancer were also more distressed. To conclude, most women appraised their situation positively but there is a potential profile of risk factors which may help clinicians identify those women who need extra psychological support as they progress through screening.

Authors: Henderson, B; Tyndel, S; Brain, K; Clements, A; Bankhead, C

• Publication status: Published
• Journal: Psycho-oncology
• Volume: 17
• Issue: 1
• Pages: 74-82
• Publication date: 2008-01-01
• DOI: 10.1002/pon.1201
• EISSN: 1099-1611
• ISSN: 1057-9249
• Language: English
• Keywords: PIMMS Study Management Group; Mammography; Depressive Disorder, Major; Mass Screening; Female; Breast Neoplasms; Health Behavior; Adaptation, Psychological; Program Development; Factor Analysis, Statistical; Humans; Middle Aged; Adult