{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:43:04Z","timestamp":1760143384452,"version":"build-2065373602"},"reference-count":22,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T00:00:00Z","timestamp":1760054400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000925","name":"NHMRC Ideas","doi-asserted-by":"publisher","award":["APP2000905"],"award-info":[{"award-number":["APP2000905"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nutrients"],"abstract":"<jats:p>Background\/Objectives: Cultural backgrounds can shape dietary beliefs, food preferences, and attitudes toward health interventions. However, limited research has explored adherence or behavioral responses following a dietary intervention in women from culturally and linguistically diverse (CALD) backgrounds. This secondary analysis of a randomized controlled feasibility trial in women with gestational diabetes (GDM) explored differences in adherence, satisfaction, and behavior change between CALD and White (non-CALD) women. Methods: Thirty-eight participants were randomized to the dietary intervention (individualized, culturally tailored dietary advice) or standard care. Data collected at baseline (26\u201332 weeks\u2019 gestation) and end of study (close to delivery) included a behavior change questionnaire, a 10-point Likert scale for adherence and satisfaction with the intervention, and 24-h dietary recall. Results: Eighteen participants self-reported as CALD and 20 self-reported as non-CALD. All intervention group participants, irrespective of cultural background, were motivated to make dietary changes, with similar mean [95% CI] adherence scores (CALD: 8.10 [7.27, 8.94] vs. non-CALD: 7.58 [6.66, 8.51]), and satisfaction scores to the intervention (CALD: 7.85 [6.96, 8.74] vs. non-CALD 6.88 [5.89, 7.86]). Within the intervention or standard care groups there were no differences in dietary intake between CALD and non-CALD participants. Conclusions: A low-intensity individualized dietary intervention for GDM was similarly acceptable and feasible for our small group of CALD and non-CALD participants. Findings support the potential for broadly applicable dietary strategies in antenatal care but also highlight the need for more culturally nuanced research to ensure inclusive interventions.<\/jats:p>","DOI":"10.3390\/nu17203191","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:47:08Z","timestamp":1760104028000},"page":"3191","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring CALD and Non-CALD Women\u2019s Behavioral and Dietary Responses to a Low-Intensity Intervention for Gestational Diabetes"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3633-1226","authenticated-orcid":false,"given":"Kai","family":"Liu","sequence":"first","affiliation":[{"name":"Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia"},{"name":"Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia"},{"name":"Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide 5005, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georgia S.","family":"Clarke","sequence":"additional","affiliation":[{"name":"Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia"},{"name":"Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia"},{"name":"Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide 5005, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9067-6706","authenticated-orcid":false,"given":"Melissa","family":"Oxlad","sequence":"additional","affiliation":[{"name":"School of Psychology, The University of Adelaide, Adelaide 5005, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1515-948X","authenticated-orcid":false,"given":"Jessica A.","family":"Grieger","sequence":"additional","affiliation":[{"name":"Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia"},{"name":"Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia"},{"name":"Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide 5005, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"109050","DOI":"10.1016\/j.diabres.2021.109050","article-title":"IDF Diabetes Atlas: Estimation of Global and Regional Gestational Diabetes Mellitus Prevalence for 2021 by International Association of Diabetes in Pregnancy Study Group\u2019s Criteria","volume":"183","author":"Wang","year":"2022","journal-title":"Diabetes Res. 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