dc.contributor.author | Wang, Pin | |
dc.contributor.author | Li, Yuanjing | |
dc.contributor.author | Wang, Mingqi | |
dc.contributor.author | Song, Lin | |
dc.contributor.author | Dong, Yi | |
dc.contributor.author | Han, Xiaolei | |
dc.contributor.author | Tuomilehto, Jaakko | |
dc.contributor.author | Wang, Yongxiang | |
dc.contributor.author | Du, Yifeng | |
dc.contributor.author | Qiu, Chengxuan | |
dc.date.accessioned | 2024-03-22T13:44:38Z | |
dc.date.available | 2024-03-22T13:44:38Z | |
dc.date.issued | 2024-01 | |
dc.identifier.citation | PLoS One. 2024 Jan 25;19(1):e0296694. | es_ES |
dc.identifier.uri | http://hdl.handle.net/20.500.12105/19066 | |
dc.description | The protocol of MIND-China was registered in the Chinese Clinical Trial Registry (ChiCTR, www.chictr.org.cn; registration no.: ChiCTR1800017758). | es_ES |
dc.description.abstract | Background: We sought to identify the optimal cut-off of glycated hemoglobin (HbA1c) for defining diabetes and to assess the agreements of fasting plasma glucose (FPG), fasting serum glucose (FSG), and HbA1c in defining diabetes among rural older adults in China. Methods: This population-based cross-sectional study included 3547 participants (age ≥61 years, 57.8% women) from the Multidomain Interventions to Delay Dementia and Disability in Rural China from 2018-2019; of these, 3122 had no previously diagnosed diabetes. We identified the optimal cut-off of HbA1c against FPG ≥7.0 mmol/L for defining diabetes by using receiver operating characteristic curve and Youden index. The agreements of FPG, FSG, and HbA1c in defining diabetes were assessed using kappa statistics. Results: Among participants without previously diagnosed diabetes (n = 3122), the optimal HbA1c cut-off for defining diabetes was 6.5% (48 mmol/mol), with the sensitivity of 88.9%, specificity of 93.7%, and Youden index of 0.825. The correlation coefficients were 0.845 between FPG and FSG, 0.574 between FPG and HbA1c, and 0.529 between FSG and HbA1c in the total sample (n = 3547). The kappa statistic for defining diabetes was 0.962 between FSG and FPG, and 0.812 between HbA1c and FPG. Conclusions: The optimal cut-off of HbA1c for diagnosing diabetes against FPG >7.0 mmol/L is ≥6.5% in Chinese rural-dwelling older adults. The agreement in defining diabetes using FPG, FSG, and HbA1c is nearly perfect. These results have relevant implications for diabetes research and clinical practice among older adults in China. Clinical trial registration: The protocol of MIND-China was registered in the Chinese Clinical Trial Registry (ChiCTR, www.chictr.org.cn; registration no.: ChiCTR1800017758). | es_ES |
dc.description.sponsorship | Y Du was supported by the major grant from the National Key R&D Program of the Ministry of Sciences and Technology of China (Grant No.: 2017YFC1310100) and by additional grants from the National Nature Science Foundation of China (Grants No.: 81861138008 and 82011530139), the Academic Promotion Program of Shandong First Medical University (2019QL020), and the Taishan Scholar Program of Shandong Province, China (Tsqn201909182). C Qiu received grants from the Swedish Research Council (Grants No.: 2017-05819 and 2020-01574), the Swedish Foundation for International Cooperation in Research and Higher Education (STINT) (Grant No.: CH2019-8320) for the Joint China-Sweden Mobility program, and the Karolinska Institutet, Stockholm, Sweden. The funding agency had no role in the study design, data collection and analysis, the writing of this manuscript, and in the decision to submit the work for publication. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Public Library of Science (PLOS) | es_ES |
dc.type.hasVersion | VoR | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.mesh | Blood Glucose | es_ES |
dc.subject.mesh | Diabetes Mellitus | es_ES |
dc.subject.mesh | Humans | es_ES |
dc.subject.mesh | Female | es_ES |
dc.subject.mesh | Aged | es_ES |
dc.subject.mesh | Middle Aged | es_ES |
dc.subject.mesh | Male | es_ES |
dc.subject.mesh | Glycated Hemoglobin | es_ES |
dc.subject.mesh | Cross-Sectional Studies | es_ES |
dc.subject.mesh | Fasting | es_ES |
dc.subject.mesh | China | es_ES |
dc.title | Comparing glycemic traits in defining diabetes among rural Chinese older adults | es_ES |
dc.type | research article | es_ES |
dc.rights.license | Atribución 4.0 Internacional | * |
dc.identifier.pubmedID | 38271374 | es_ES |
dc.format.volume | 19 | es_ES |
dc.format.number | 1 | es_ES |
dc.format.page | e0296694 | es_ES |
dc.identifier.doi | 10.1371/journal.pone.0296694 | es_ES |
dc.contributor.funder | Ministry of Science and Technology (China) | es_ES |
dc.contributor.funder | National Natural Science Foundation of China | es_ES |
dc.contributor.funder | Shandong First Medical University (China) | es_ES |
dc.contributor.funder | Swedish Research Council | es_ES |
dc.contributor.funder | Swedish Foundation for International Cooperation in Research and Higher Education | es_ES |
dc.contributor.funder | Karolinska Institutet | es_ES |
dc.description.peerreviewed | Sí | es_ES |
dc.identifier.e-issn | 1932-6203 | es_ES |
dc.relation.publisherversion | https://doi.org/10.1371/journal.pone.0296694 | es_ES |
dc.identifier.journal | PloS one | es_ES |
dc.repisalud.centro | ISCIII::Escuela Nacional de Sanidad | es_ES |
dc.repisalud.institucion | ISCIII | es_ES |
dc.rights.accessRights | open access | es_ES |