Journal
DIABETES RESEARCH AND CLINICAL PRACTICE
Volume 141, Issue -, Pages 140-147Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.diabres.2018.04.041
Keywords
Obesity; Inflammatory levels; Type 2 diabetes; White blood cell count
Categories
Funding
- National Natural Science Foundation of China [91746205, 81673166, 81372118, 81372467, 81302422]
- Key Technologies R&D Program of Tianjin [11ZCGYSY05700, 12ZCZDSY20400, 13ZCZDSY20200, 15YFYZSY00020]
- National Science and Technology Support Program [2012BAI02B02]
- 2012 and 2016 Chinese Nutrition Society (CNS) Nutrition Research Foundation-DSM Research Fund [2014-071, 2016-046, 2016-023]
- Technologies Development Program of Beichen District of Tianjin [bcws2013-21, bcws2014-05, 2015-SHGY-02]
- Technologies Project of Tianjin Binhai New Area [2013-02-04, 2013-02-06]
- Science Foundation of Tianjin Medical University [2010KY28, 2013KYQ24]
- Key Laboratory of Public Health Safety (Fudan University), Ministry of Education [GW2014-5]
- National Training Programs of Innovation and Entrepreneurship for Undergraduates, China [201510062013]
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Aims: Obesity promotes a variety of poor health outcomes, including type 2 diabetes (T2D). However, not all obese people are at an elevated risk of T2D. Obesity is closely linked to chronic inflammation. In addition, inflammation is an important contributor to T2D via the processes of insulin resistance and islet I3-cell failure. Therefore, we hypothesize that white blood cells (WBC) count, a marker of subclinical inflammation, can be used as an indicator to identify whether or not obesity leads to increased risk of T2D. To investigate this hypothesis, we conducted a prospective cohort study in a general population. Methods: A total of 47,678 subjects were followed up from 2007 to 2016. WBC count was determined by automated hematology analyzer. T2D and obesity were defined in accordance with the criteria of the World Health Organization. Adjusted Cox proportional hazards regression models were used to assess relationships between obese status, WBC count and the incidence of T2D. Results: During the approximately -9-year follow-up period (median duration of follow-up: 3.48y), 1463 subjects developed T2D. In the final multivariate model, the hazard ratios (95% confidence interval) of T2D for obese participants with elevated WBC count, non-obese participants with elevated WBC count, and non-obese participants with low WBC count, when compared to obese participants with low WBC count were: 1.22(1.03-1.44), 1.37(1.12-1.66) and 0.99(0.83-1.20), respectively. Conclusions: This study demonstrated that WBC count can be used as an indicator to identify whether or not obesity leads to increased risk of T2D. (C) 2018 Elsevier B.V. All rights reserved.
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