ArticleBMC public health2026
Women's perceptions of breast cancer risk and prevention: insights into knowledge gaps and lifestyle attitudes.
Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer (BC) is the most common cancer among women. Promoting healthy lifestyle behaviours at the population level has the potential to prevent a substantial proportion of cases. Preventive interventions should be grounded in the target population’s existing beliefs and perceptions. Therefore, this study aimed to explore women’s perceptions of BC, their attitudes toward engaging in preventive behaviours, and their needs for risk information.
methodsSemi-structured individual interviews were conducted during spring 2025, with 16 Swedish women, aged 24–68. The interview guide was informed by The Common-Sense Model of Self-Regulation. The data were inductively analysed using thematic analysis.
resultsFour themes were developed. (I) Experience and representation shape women´s emotional and cognitive preunderstanding: Women had clear perceptions of the consequences of BC but were largely uninformed about BC causes. They struggled to envision how lifestyle factors could influence BC risk, due to knowledge gaps about underlying mechanisms and because it did not correspond with the affected women they knew. (II) Self-perceived risk: a mix of feelings and compensating reasoning: Women had difficulties assessing their own risk due to uncertainty about whether their lifestyle was healthy enough and some acknowledged that their logical reasoning was overshadowed by their emotions. (III) Willingness to change lifestyle: it is more than reduced risk of breast cancer: Efforts to pursue a healthy lifestyle were mostly guided by its impacts on present wellbeing. (IV) Constructing uplifting messages that reach and teach without blame: Current information in society was perceived as too general. The women therefore requested more actionable and uplifting messages educating them about why something poses a risk factor.
conclusionThe study found that women primarily learned about the impact of BC on patients’ lives through media stories, which often evoked fear and sadness. Perceived preventive actions were largely limited to early detection through self-examination and participation in screening programs. However, there were knowledge gaps regarding BC causes that current information in society fails to address. To guide women’s health decisions, risk communication should prioritize evidence-based explanations of how risk factors influence BC risk, rather than relying primarily on personal narratives.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.