Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort
Abstract We investigated whether 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 receiv...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2020-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-020-66147-x |
| _version_ | 1818435005363257344 |
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| author | Anne H. Y. Chu Izzuddin M. Aris Sharon Ng See Ling Loy Jonathan Y Bernard Mya Thway Tint Wen Lun Yuan Keith M. Godfrey Jerry Kok Yen Chan Lynette Pei-Chi Shek Yap Seng Chong Kok Hian Tan Seng Bin Ang Heng Hao Tan Bernard S. M. Chern Fabian Yap Yung Seng Lee Ngee Lek Melvin Khee-Shing Leow Chin Meng Khoo Shiao-Yng Chan |
| author_facet | Anne H. Y. Chu Izzuddin M. Aris Sharon Ng See Ling Loy Jonathan Y Bernard Mya Thway Tint Wen Lun Yuan Keith M. Godfrey Jerry Kok Yen Chan Lynette Pei-Chi Shek Yap Seng Chong Kok Hian Tan Seng Bin Ang Heng Hao Tan Bernard S. M. Chern Fabian Yap Yung Seng Lee Ngee Lek Melvin Khee-Shing Leow Chin Meng Khoo Shiao-Yng Chan |
| author_sort | Anne H. Y. Chu |
| collection | DOAJ |
| description | Abstract We investigated whether 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 ≥6.1 mmol/L with 2-hour glucose ≥7.8 mmol/l). The prevalence of dysglycemia was 10.9%. After adjusting for sociodemographic/medical history, BMI (Odds Ratio [OR] = 1.62 [95%CI 1.32–1.99]), waist-to-height ratio (OR = 1.74 [1.39–2.17]) and total skinfolds (OR = 2.02 [1.60–2.55]) showed the strongest associations with dysglycemia but none outperformed HbA1c (OR = 4.09 [2.81–5.94]). After adjustment for history, adding BMI, waist-to-height ratio and total skinfolds (anthropometry trio) as continuous variables to HbA1c (AUROC = 0.80 [95%CI 0.75–0.85]) performed similarly to HbA1c alone (AUROC = 0.79 [0.74–0.84]). However, using clinically-defined thresholds without considering history, as in common clinical practice, BMI ≥ 23 kg/m2 + HbA1c ≥ 5.7% (AUROC = 0.70 [0.64–0.75]) and anthropometry trio + HbA1c ≥ 5.7% (AUROC = 0.71 [0.65–0.76]) both outperformed HbA1c ≥ 5.7% alone (AUROC = 0.61 [0.57–0.65]). In a two-stage strategy, incorporating BMI ≥ 23 kg/m2 alongside HbA1c ≥ 5.7% into first-stage screening to identify high risk women for subsequent oral glucose tolerance testing improves dysglycemia detection in Asian women preconception. |
| first_indexed | 2024-12-14T16:46:00Z |
| format | Article |
| id | doaj.art-8fa5d7e53b5c4646be05135981dec54a |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T16:46:00Z |
| publishDate | 2020-06-01 |
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| spelling | doaj.art-8fa5d7e53b5c4646be05135981dec54a2022-12-21T22:54:11ZengNature PortfolioScientific Reports2045-23222020-06-0110111010.1038/s41598-020-66147-xAnthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohortAnne H. Y. Chu0Izzuddin M. Aris1Sharon Ng2See Ling Loy3Jonathan Y Bernard4Mya Thway Tint5Wen Lun Yuan6Keith M. Godfrey7Jerry Kok Yen Chan8Lynette Pei-Chi Shek9Yap Seng Chong10Kok Hian Tan11Seng Bin Ang12Heng Hao Tan13Bernard S. M. Chern14Fabian Yap15Yung Seng Lee16Ngee Lek17Melvin Khee-Shing Leow18Chin Meng Khoo19Shiao-Yng Chan20Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of SingaporeDepartment of Reproductive Medicine, KK Women’s and Children HospitalSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)Department of Paediatrics, Yong Loo Lin School of Medicine, National University of SingaporeMRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation TrustDepartment of Reproductive Medicine, KK Women’s and Children HospitalSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)Duke-NUS Medical SchoolDepartment of Family Medicine Service, KK Women’s and Children’s HospitalDepartment of Reproductive Medicine, KK Women’s and Children HospitalDuke-NUS Medical SchoolLee Kong Chian School of Medicine, Nanyang Technological UniversitySingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)Duke-NUS Medical SchoolSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)Department of Medicine, Yong Loo Lin School of Medicine, National University of SingaporeSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR)Abstract We investigated whether 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 ≥6.1 mmol/L with 2-hour glucose ≥7.8 mmol/l). The prevalence of dysglycemia was 10.9%. After adjusting for sociodemographic/medical history, BMI (Odds Ratio [OR] = 1.62 [95%CI 1.32–1.99]), waist-to-height ratio (OR = 1.74 [1.39–2.17]) and total skinfolds (OR = 2.02 [1.60–2.55]) showed the strongest associations with dysglycemia but none outperformed HbA1c (OR = 4.09 [2.81–5.94]). After adjustment for history, adding BMI, waist-to-height ratio and total skinfolds (anthropometry trio) as continuous variables to HbA1c (AUROC = 0.80 [95%CI 0.75–0.85]) performed similarly to HbA1c alone (AUROC = 0.79 [0.74–0.84]). However, using clinically-defined thresholds without considering history, as in common clinical practice, BMI ≥ 23 kg/m2 + HbA1c ≥ 5.7% (AUROC = 0.70 [0.64–0.75]) and anthropometry trio + HbA1c ≥ 5.7% (AUROC = 0.71 [0.65–0.76]) both outperformed HbA1c ≥ 5.7% alone (AUROC = 0.61 [0.57–0.65]). In a two-stage strategy, incorporating BMI ≥ 23 kg/m2 alongside HbA1c ≥ 5.7% into first-stage screening to identify high risk women for subsequent oral glucose tolerance testing improves dysglycemia detection in Asian women preconception.https://doi.org/10.1038/s41598-020-66147-x |
| spellingShingle | Anne H. Y. Chu Izzuddin M. Aris Sharon Ng See Ling Loy Jonathan Y Bernard Mya Thway Tint Wen Lun Yuan Keith M. Godfrey Jerry Kok Yen Chan Lynette Pei-Chi Shek Yap Seng Chong Kok Hian Tan Seng Bin Ang Heng Hao Tan Bernard S. M. Chern Fabian Yap Yung Seng Lee Ngee Lek Melvin Khee-Shing Leow Chin Meng Khoo Shiao-Yng Chan Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort Scientific Reports |
| title | Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort |
| title_full | Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort |
| title_fullStr | Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort |
| title_full_unstemmed | Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort |
| title_short | Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort |
| title_sort | anthropometric measures and hba1c to detect dysglycemia in young asian women planning conception the s presto cohort |
| url | https://doi.org/10.1038/s41598-020-66147-x |
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