{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T04:02:31Z","timestamp":1767153751602,"version":"build-2238731810"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T00:00:00Z","timestamp":1591574400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T00:00:00Z","timestamp":1591574400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    We investigated\u00a0whether adding anthropometric measures to HbA1c would have stronger discriminative ability over HbA1c alone in detecting dysglycemia (diabetes and prediabetes) among Asian women trying to conceive. Among 971 Singaporean women, multiple regression models and area under receiver-operating characteristic (AUROC) curves were used to analyze associations of anthropometric (weight, height, waist\/hip circumferences, 4-site skinfold thicknesses) and HbA1c z-scores with dysglycemia (fasting glucose \u22656.1\u2009mmol\/L with 2-hour glucose \u22657.8\u2009mmol\/l). The prevalence of dysglycemia was 10.9%. After adjusting for sociodemographic\/medical history, BMI (Odds Ratio [OR]\u2009=\u20091.62 [95%CI 1.32\u20131.99]), waist-to-height ratio (OR\u2009=\u20091.74 [1.39\u20132.17]) and total skinfolds (OR\u2009=\u20092.02 [1.60\u20132.55]) showed the strongest associations with dysglycemia but none outperformed HbA1c (OR\u2009=\u20094.09 [2.81\u20135.94]). After adjustment for history, adding BMI, waist-to-height ratio and total skinfolds (anthropometry trio) as continuous variables to HbA1c (AUROC\u2009=\u20090.80 [95%CI 0.75\u20130.85]) performed similarly to HbA1c alone (AUROC\u2009=\u20090.79 [0.74\u20130.84]). However, using clinically-defined thresholds without considering history, as in common clinical practice, BMI\u2009\u2265\u200923\u2009kg\/m\n                    <jats:sup>2<\/jats:sup>\n                    \u2009+\u2009HbA1c\u2009\u2265\u20095.7% (AUROC\u2009=\u20090.70 [0.64\u20130.75]) and anthropometry trio + HbA1c\u2009\u2265\u20095.7% (AUROC\u2009=\u20090.71 [0.65\u20130.76]) both outperformed HbA1c\u2009\u2265\u20095.7% alone (AUROC\u2009=\u20090.61 [0.57\u20130.65]). In a two-stage strategy, incorporating BMI\u2009\u2265\u200923\u2009kg\/m\n                    <jats:sup>2<\/jats:sup>\n                    alongside HbA1c\u2009\u2265\u20095.7% into first-stage screening to identify high risk women for subsequent oral glucose tolerance testing improves dysglycemia detection in Asian women preconception.\n                  <\/jats:p>","DOI":"10.1038\/s41598-020-66147-x","type":"journal-article","created":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T06:05:16Z","timestamp":1591596316000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort"],"prefix":"10.1038","volume":"10","author":[{"given":"Anne H. 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Y.S.C. reports grants from Abbott Nutrition, Nestec, and Danone outside the submitted work. S.Y.C. is part of an academic consortium that has received research funding from Nestec unrelated to the submitted work. All other authors declare no financial relationships with any organizations that might have an interest in the submitted work in the previous three years and no other relationships or activities that could appear to have influenced the submitted work.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"9228"}}