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51 Mendeley
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Article details
Title
Is lower symptom recognition associated with socioeconomic inequalities in help‐seeking for potential breast cancer symptoms?
Published in
Psycho-Oncology, October 2017
DOI 10.1002/pon.4557
Pubmed ID
Authors
Abstract

Socioeconomic inequalities in recognising signs and symptoms of cancer may result in inequalities in timely help-seeking and subsequent prognosis of breast cancer. We explored the mediating role of symptom attribution and concern on the relationship between level of education and help-seeking for potential breast cancer symptoms. Women aged ≥47 years (n=961) were purposively recruited (by education) to complete an online vignette-based survey that included nipple rash and axillary lump (in separate vignettes) as potential symptoms of breast cancer. Women completed questions relating to medical help-seeking (Yes/No), cancer attribution, symptom concern, cancer avoidance, family history and demographics. Women with low education and mid-education attributed nipple rash less often to cancer (26% and 27% mentioned cancer) than women with a degree or higher (40%). However, women with a degree or higher (63%) or mid-education (64%) were less likely to anticipate seeking help for the nipple rash than women with no formal qualifications (73%). This association was statistically significant in the 60-69 year old age group. There was no significant association between education and help-seeking for axillary lump. Mediation analysis adjusting for potential confounders confirmed that the association between education and help-seeking for nipple rash was fully mediated by symptom concern. Socioeconomic inequalities in stage at diagnosis and survival of breast cancer may not always be explained by lower likelihood of suspecting cancer and subsequent impact on help-seeking. Reducing inequalities in stage at diagnosis will involve understanding a broader range of bio-psycho-social factors (e.g. comorbidities, healthcare system factors).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 14%
Student > Ph. D. Student 5 10%
Researcher 5 10%
Other 4 8%
Lecturer 3 6%
Other 7 14%
Unknown 20 39%
Readers by discipline
Readers by discipline Count As %
Psychology 8 16%
Medicine and Dentistry 7 14%
Nursing and Health Professions 5 10%
Social Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 3 6%
Unknown 22 43%