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Chi Hui Chin

Publications and source records attributed to Chi Hui Chin.

2 recordsLinked to original sources
PubMed2025

Profile of the BREATHE cohort for risk-based breast screening in Singapore.

The BREAst screening Tailored for HEr (BREATHE) study was established to pilot a personalised, risk-based breast cancer screening programme for a multi-ethnic Asian population. Between October 2021 and December 2023, 4592 women aged 35-59 were enrolled (73% response rate). Follow-up from February 2022 to June 2024 included 4112 participants (8.6% loss to follow-up). Data collected encompassed demographics, lifestyle factors, reproductive risks, breast cancer awareness, screening behaviours, programme satisfaction, mammography outcomes (density and recall status), and genotype data. Above-average breast cancer risk increased with age: 2% in women aged 35-39, 31% in 40-49, and 42% in 50-59. Findings suggests that women valued the knowledge of their breast cancer risk and were motivated to attend mammography. The BREATHE study confirms the feasibility and acceptability of a personalised risk-based screening programme in a multi-ethnic Asian population, highlighting the value of tailored protocols to improve early detection and outcomes. Further details are available in the study protocol and online at https://blog.nus.edu.sg/breathe/ .

Humans↗
PubMed2025

Impact of personalised risk predictions on breast cancer risk perceptions: insights from the BREATHE study.

OBJECTIVE: Biennial mammography screening is well-established for women aged 50 and above, but guidelines for younger women are less clear. Risk-based screening may provide women with key information to make informed decisions about their breast cancer risk and screening. This study examines how predicted breast cancer (BC) risk shapes women's perception and confidence in risk prediction. METHODS: Women aged 35 to 59 years were recruited for a prospective multi-centre cohort and stratified into above-average, average, or below-average BC risk categories based on genetic and non-genetic risk factors. Perceived risk was assessed at enrolment and after participants were informed of their predicted risk. We used ordinal models to identify predictors of perceived risk and logistic regression to examine the relationship between changes in perceived risk and confidence in the risk prediction. RESULTS: At enrolment, 43% and 47% of 4112 participants perceived their BC risk pre-result as low or average, respectively. Thirty-five percent adjusted their perceived risk to align more closely with their predicted risk. Predictors of perceived risk post-result: perceived risk pre-result, predicted risk, ethnicity and having regular menstruation. Participants who underestimated their BC risk were nearly eight times more likely to have low confidence in the accuracy of their predicted risk (OR for underestimation vs. accurate perception: 7.94 [95% CI 5.60-11.28]). Predictors of perceived risk post-result: perceived risk pre-result, predicted risk, ethnicity and having regular menstruation. Confidence in risk prediction was lowest when women's perceived risk pre-result was lower than their predicted risk (OR-2 vs 0 [95%CI] 5.06 [3.67 to 6.97]). CONCLUSION: Many women underestimated their BC risk, and their initial perceptions were influenced by the knowledge of their predicted risk. Women who underestimated their risk had less confidence in their predicted risk scores.

Humans↗