Evidence map›Paper›PMID 29275340›Full record

ArticleBMJ open2017

Anticipated health behaviour changes and perceived control in response to disclosure of genetic risk of breast and ovarian cancer: a quantitative survey study among women in the UK.

Susanne F Meisel, Lindsay Sarah Macduff Fraser, Lucy Side, Sue Gessler, Katie E J Hann, Jane Wardle, Anne Lanceley, PROMISE study team

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Predictive Genetic Testing in the Cancer Management and Prevention.Journal of cancer science and clinical therapeutics · 2025
    Article
  4. Article
  5. The Views of Patients with Isolated Rapid Eye Movement Sleep Behavior Disorder on Risk Disclosure.Movement disorders : official journal of the Movement Disorder Society · 2023
    Article
  6. Article
  7. Article
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  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Susanne F MeiselDept of Psychology, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.
Lindsay Sarah Macduff FraserDept of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK.ORCID 0000-0002-1086-5476
Lucy SideClinical Genetics, University Hospital Southampton NHS Trust, Southampton, UK.
Sue GesslerDept of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK.
Katie E J HannDept of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK.
Jane WardleDepartment of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.
Anne LanceleyDept of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK.
PROMISE study team
London Women's Clinic · GBUniversity College Hospital · GBKing's College London · GBUniversity College London · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

Cancer Research UK 12677Cancer Research UK 508007
6 · The paper itself

Abstract

backgroundGenetic risk assessment for breast cancer and ovarian cancer (BCOC) is expected to make major inroads into mainstream clinical practice. It is important to evaluate the potential impact on women ahead of its implementation in order to maximise health benefits, as predictive genetic testing without adequate support could lead to adverse psychological and behavioural responses to risk disclosure.

objectiveTo examine anticipated health behaviour changes and perceived control to disclosure of genetic risk for BCOC and establish demographic and person-specific correlates of adverse anticipated responses in a population-based sample of women.

designCross-sectional quantitative survey study carried out by the UK Office for National Statistics in January and March 2014.

settingFace-to-face computer-assisted interviews conducted by trained researchers in participants' homes.

participants837 women randomly chosen from households across the UK identified from the Royal Mail's Postcode Address File. OUTCOME MEASURES: Anticipated health behaviour change and perceived control to disclosure of BCOC risk.

resultsIn response to a genetic test result, most women (72%) indicated 'I would try harder to have a healthy lifestyle', and over half (55%) felt 'it would give me more control over my life'. These associations were independent of demographic factors or perceived risk of BCOC in Bonferroni-corrected multivariate analyses. However, a minority of women (14%) felt 'it isn't worth making lifestyle changes' and that 'I would feel less free to make choices in my life' (16%) in response to BCOC risk disclosure. The former belief was more likely to be held by women who were educated below university degree level (P<0.001) after adjusting for other demographic and person-specific correlates.

conclusionThese findings indicate that women in the UK largely anticipate that they would engage in positive health behaviour changes in response to BCOC risk disclosure.

Indexed as

DisclosureHealth BehaviorAdolescentAdultAgedBreast NeoplasmsCross-Sectional StudiesFemaleGenetic TestingHumansLife StyleLogistic ModelsMiddle AgedMultivariate AnalysisOvarian NeoplasmsRisk Factorsbreast cancerovarian cancerpredictive genetic testingrisk

Identifiers

PMID29275340
PMCPMC5770899
OpenAlexW2779273539

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.