Endocrinology, diabetes & metabolism · 2026
Understanding Patient Perceptions of Genetic Testing to Predict Type 2 Diabetes Risk After Gestational Diabetes.
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Patel Ria, Christodoulou Martha, Taylor Zoe, Shetty Prajwal, Zöllner Julia
Аннотация
INTRODUCTION: Women with gestational diabetes mellitus (GDM) face increased lifetime risk of type 2 diabetes (T2DM). Genetic risk-predictive testing could help identify those at highest risk and guide preventative care. We aimed to assess perceptions of genetic risk scores to help inform future implementation.
METHODS: An online survey of 112 women with current or prior GDM assessed willingness for genetic and non-genetic risk testing, attitudes, lifestyle motivation, and data-use concerns. Quantitative analyses were complemented by thematic analysis of free-text responses.
RESULTS: Overall, willingness was high for both genetic testing (83.9%) and non-genetic (90.2%), with no significant difference between them (p = 0.083). Participants identifying as White reported greater willingness for genetic testing (p = 0.020) and stronger agreement that testing should be available on the NHS (p = 0.032) than Non-White participants. Attitudes toward genetic testing were positive and associated with both willingness to test and support for NHS availability (p < 0.001). Younger participants were more motivated to modify lifestyle behaviours (p = 0.015). Overall, concerns around data collection were low; although free-text responses highlighted health insurance implications, psychological burden, actionability of results, and timing of testing as salient themes.
CONCLUSIONS: Women with GDM were receptive to genetic risk-prediction for T2DM, with low concerns around data usage. Demographic differences in acceptability and motivation highlight the need for inclusive, targeted communications and lifestyle support alongside integration testing into postnatal-GDM care.
METHODS: An online survey of 112 women with current or prior GDM assessed willingness for genetic and non-genetic risk testing, attitudes, lifestyle motivation, and data-use concerns. Quantitative analyses were complemented by thematic analysis of free-text responses.
RESULTS: Overall, willingness was high for both genetic testing (83.9%) and non-genetic (90.2%), with no significant difference between them (p = 0.083). Participants identifying as White reported greater willingness for genetic testing (p = 0.020) and stronger agreement that testing should be available on the NHS (p = 0.032) than Non-White participants. Attitudes toward genetic testing were positive and associated with both willingness to test and support for NHS availability (p < 0.001). Younger participants were more motivated to modify lifestyle behaviours (p = 0.015). Overall, concerns around data collection were low; although free-text responses highlighted health insurance implications, psychological burden, actionability of results, and timing of testing as salient themes.
CONCLUSIONS: Women with GDM were receptive to genetic risk-prediction for T2DM, with low concerns around data usage. Demographic differences in acceptability and motivation highlight the need for inclusive, targeted communications and lifestyle support alongside integration testing into postnatal-GDM care.