title: Systemic inflammation and family history in relation to the prevalence of type 2 diabetes based on an alternating decision tree.
abstract: To investigate unknown patterns associated with type 2 diabetes in the Japanese population, we first used an alternating decision tree (ADTree) algorithm, a powerful classification algorithm from data mining, for the data from 1,102 subjects aged 35-69 years. On the basis of the investigated patterns, we then evaluated the associations of serum high-sensitivity C-reactive protein (hs-CRP) as a biomarker of systemic inflammation and family history of diabetes (negative, positive or unknown) with the prevalence of type 2 diabetes because their detailed associations have been scarcely reported. Elevated serum hs-CRP levels were proportionally associated with the increased prevalence of type 2 diabetes after adjusting for probable covariates, including body mass index and family history of diabetes (P for trend = 0.016). Stratified analyses revealed that elevated serum hs-CRP levels were proportionally associated with increased prevalence of diabetes in subjects without a family history of diabetes (P for trend = 0.020) but not in those with a family history or with an unknown family history of diabetes. Our study demonstrates that systemic inflammation was proportionally associated with increased prevalence of type 2 diabetes even after adjusting for body mass index, especially in subjects without a family history of diabetes.
authors.affiliation: Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan.
authors.forename: Hirokazu
authors.initials: H
authors.lastname: Uemura
authors.affiliation: Department of Medical Informatics, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan.
authors.forename: A Ammar
authors.initials: AA
authors.lastname: Ghaibeh
authors.affiliation: Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan.
authors.forename: Sakurako
authors.initials: S
authors.lastname: Katsuura-Kamano
authors.affiliation: Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan.
authors.forename: Miwa
authors.initials: M
authors.lastname: Yamaguchi
authors.affiliation: Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan.
authors.forename: Tirani
authors.initials: T
authors.lastname: Bahari
authors.affiliation: Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan.
authors.forename: Masashi
authors.initials: M
authors.lastname: Ishizu
authors.affiliation: Department of Medical Informatics, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan.
authors.forename: Hiroki
authors.initials: H
authors.lastname: Moriguchi
authors.affiliation: Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-cho, Tokushima 770-8503, Japan.
authors.forename: Kokichi
authors.initials: K
authors.lastname: Arisawa
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism; D003430:Cross-Sectional Studies; D003663:Decision Trees; D003924:Diabetes Mellitus, Type 2 / Q000097:blood* / Q000378:metabolism*; D005260:Female; D006801:Humans; D007249:Inflammation / Q000097:blood* / Q000378:metabolism*; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D011446:Prospective Studies
chemical_list: D015415:Biomarkers; D002097:C-Reactive Protein