Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study.

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Title: Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study.
Authors: Wang J; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China., Chen J; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China., Liu Y; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China., Xu J; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China.
Source: JMIR medical informatics [JMIR Med Inform] 2025 Jan 28; Vol. 13, pp. e64992. Date of Electronic Publication: 2025 Jan 28.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.; Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, China.; Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, China.
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  Data: <searchLink fieldCode="JN" term="%22101645109%22">JMIR medical informatics</searchLink> [JMIR Med Inform] 2025 Jan 28; Vol. 13, pp. e64992. <i>Date of Electronic Publication: </i>2025 Jan 28.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>101645109 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2291-9694 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222919694%22">22919694 </searchLink><i>NLM ISO Abbreviation: </i>JMIR Med Inform <i>Subsets: </i>MEDLINE
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      – TitleFull: Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study.
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              Text: 2025 Jan 28
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