Literature DB >> 30900026

Association of fasting glucose and glycated hemoglobin with the long-term risk of incident metabolic syndrome: Korean Genome and Epidemiology Study (KoGES).

Ju Young Jung1, Jae-Hong Ryoo2, Pil-Wook Chung3, Chang-Mo Oh4, Joong-Myung Choi4, Sung Keun Park5.   

Abstract

AIMS: Previous studies have proposed potential benefit of glycated hemoglobin (HbA1c) supplementary to fasting glucose in detecting metabolic syndrome (MetS). This study was to investigate an association of incident MetS with levels of HbA1c and fasting glucose.
METHODS: In a cohort of Korean Genome and Epidemiology Study, 5515 non-diabetic adults were grouped by the levels of baseline fasting glucose and HbA1c, and followed-up for 10 years. Using multivariate Cox proportional hazards assumption, hazards ratios (HRs) and 95% confidence interval (CI) for incident MetS (adjusted HRs [95% CI]) were calculated according to baseline fasting glucose and HbA1c. In individuals with normal fasting glucose, subgroup analysis was conducted to evaluate an association of HbA1c levels with MetS.
RESULTS: The risk for MetS significantly increased proportionally to fasting glucose ≥ 80 mg/dL and HbA1c ≥ 5.5%, compared with fating glucose < 80 mg/dL and HbA1c < 5.3%, respectively. In subgroups of normal fasting glucose, HbA1c ≥ 5.7% had the increased risk of MetS in fasting glucose < 80 mg/dL (5.7-5.9%: 1.41 [1.07-1.86] and 6.0-6.4%: 2.20 [1.40-2.92]), and HbA1c ≥ 5.5% had the increased risk of MetS in fasting glucose of 80-99 mg/dL (5.5-5.6%: 1.33 [1.08-1.64], 5.7-5.9%: 1.57 (1.27-1.93), and 6.0-6.4%: 2.37 [1.87-3.00]).
CONCLUSIONS: Both elevated fasting glucose and HbA1c were significantly associated with the increased risk of MetS even within normal range. HbA1c is effective in identifying high-risk group for MetS in individuals with normal fasting glucose.

Entities:  

Keywords:  Fasting glucose; Glycated hemoglobin; Metabolic syndrome

Mesh:

Substances:

Year:  2019        PMID: 30900026     DOI: 10.1007/s00592-019-01290-0

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  4 in total

1.  Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model.

Authors:  Jaina Razbek; Yan Zhang; Wen-Jun Xia; Wan-Ting Xu; De-Yang Li; Zhe Yin; Ming-Qin Cao
Journal:  Diabetes Metab Syndr Obes       Date:  2022-08-16       Impact factor: 3.249

Review 2.  "Big Data" Approaches for Prevention of the Metabolic Syndrome.

Authors:  Xinping Jiang; Zhang Yang; Shuai Wang; Shuanglin Deng
Journal:  Front Genet       Date:  2022-04-27       Impact factor: 4.772

3.  Metabolic Syndrome and High-Obesity-Related Indices Are Associated with Poor Cognitive Function in a Large Taiwanese Population Study Older than 60 Years.

Authors:  Szu-Han Huang; Szu-Chia Chen; Jiun-Hung Geng; Da-Wei Wu; Chien-Hsun Li
Journal:  Nutrients       Date:  2022-04-07       Impact factor: 6.706

4.  Predictive Value of HbA1c and Metabolic Syndrome for Renal Outcome in Non-Diabetic CKD Stage 1-4 Patients.

Authors:  Chi-Chih Hung; Yen-Yi Zhen; Sheng-Wen Niu; Kun-Der Lin; Hugo You-Hsien Lin; Jia-Jung Lee; Jer-Ming Chang; I-Ching Kuo
Journal:  Biomedicines       Date:  2022-08-02
  4 in total

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