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    Women's health behaviour change after receiving breast cancer risk estimates with tailored screening and prevention recommendations

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    Authors
    Rainey, L.
    van der Waal, D.
    Donnelly, L. S.
    Southworth, J.
    French, D. P.
    Evans, D. G.
    Broeders, M. J. M.
    Affiliation
    Radboud Institute for Health Sciences, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands. linda.rainey@radboudumc.nl. Dutch Expert Centre for Screening, PO Box 6873, 6503 GJ, Nijmegen, The Netherlands. Centre for Mental Health and Safety, University of Manchester, Manchester, M13 9PL, England. Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9LT, UK. Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL, UK. Genomic Medicine, Division of Evolution and Genomic Sciences, Manchester Academic Health Sciences Centre, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK. The Christie NHS Foundation Trust, Withington, Manchester, M20 4BX, UK. Radboud Institute for Health Sciences, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
    Issue Date
    2022
    
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    Abstract
    Background The Predicting Risk of Cancer at Screening (PROCAS) study provided women who were eligible for breast cancer screening in Greater Manchester (United Kingdom) with their 10-year risk of breast cancer, i.e., low (≤1.5%), average (1.5–4.99%), moderate (5.-7.99%) or high (≥8%). The aim of this study is to explore which factors were associated with women’s uptake of screening and prevention recommendations. Additionally, we evaluated women’s organisational preferences regarding tailored screening. Methods A total of 325 women with a self-reported low (n = 60), average (n = 125), moderate (n = 80), or high (n = 60) risk completed a two-part web-based survey. The first part contained questions about personal characteristics. For the second part women were asked about uptake of early detection and preventive behaviours after breast cancer risk communication. Additional questions were posed to explore preferences regarding the organisation of risk-stratified screening and prevention. We performed exploratory univariable and multivariable regression analyses to assess which factors were associated with uptake of primary and secondary breast cancer preventive behaviours, stratified by breast cancer risk. Organisational preferences are presented using descriptive statistics. Results Self-reported breast cancer risk predicted uptake of (a) supplemental screening and breast self-examination, (b) risk-reducing medication and (c) preventive lifestyle behaviours. Further predictors were (a) having a first degree relative with breast cancer, (b) higher age, and (c) higher body mass index (BMI). Women’s organisational preferences for tailored screening emphasised a desire for more intensive screening for women at increased risk by further shortening the screening interval and moving the starting age forward. Conclusions Breast cancer risk communication predicts the uptake of key tailored primary and secondary preventive behaviours. Effective communication of breast cancer risk information is essential to optimise the population-wide impact of tailored screening.
    Citation
    Rainey L, van der Waal D, Donnelly LS, Southworth J, French DP, Evans DG, et al. Women’s health behaviour change after receiving breast cancer risk estimates with tailored screening and prevention recommendations. Vol. 22, BMC Cancer. Springer Science and Business Media LLC; 2022. 
    Journal
    BMC Cancer
    URI
    http://hdl.handle.net/10541/625085
    DOI
    10.1186/s12885-022-09174-3
    PubMed ID
    35033023
    Additional Links
    https://dx.doi.org/10.1186/s12885-022-09174-3
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1186/s12885-022-09174-3
    Scopus Count
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