Relationships between metabolic syndrome and its related blood indexes

doi:10.3969/j.issn.1006-7795.2016.02.018

Abstract

Abstract: Objective To evaluate the relationships between metabolic syndromes (MetS) and its related blood indexes in Beijing adults' population.Methods Subjects from Beijing three hospitals were enrolled and blood indexes record were tracked. The detection rates of MetS and its accompanying blood indexes were investigated. Generalized estimation equation model was used to estimate the relationships between MetS and its related blood indexes. Results 7 489 subjects, who attended the health check-up from 2007 to 2012, were incorporated into the final analysis. During the 5 year follow-up, 378 cases of MetS were developed. The related blood routine indexes with MetS were hematocrit value (HCT) and white blood cell (WBC) for males. Compared with Q1, the lower quartile of HCT and WBC, the RRs of Q4 were 1.861 3 (95% CI: 1.325 6-2.613 5) and 2.598 4(95% CI: 1.805 5-3.739-5), respectively. Red blood cell (RBC), WBC and lymphocyte were corresponding factors for females. Compared with Q1, the lower quartile of RBC, WBC and lymphocyte, the RRs were 3.146 3 (95% CI: 1.836 3-5.391 0), 1.897 1 (95% CI: 1.089 9-3.302 2) and 2.200 8 (95% CI: 1.221 9-3.964 0), respectively.Conclusion MetS has a certain association with its related blood routine parameters, such as HCT, WBC, RBC and Lymphocyte applied by health check-up data in Beijing adults, and such parameters may be used as the predictors of MetS.

Key words: metabolic syndrome, blood routine parameters, generalized estimation equation, longitudinal cohort study

CLC Number:

R589

Yang Kun, Tao Lixin, Cao Kai, Liu Xiangtong, Li Haibin, Yan Aoshuang, Guo Xiuhua. Relationships between metabolic syndrome and its related blood indexes[J]. Journal of Capital Medical University, 2016, 37(2): 203-207.

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URL: https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/10.3969/j.issn.1006-7795.2016.02.018

https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/Y2016/V37/I2/203

References

[1] Alberti K, Eckel R H, Grundy S M, et al. Harmonizing the metabolic syndrome:a joint interim statement of the international diabetes federation task force on epidemiology and prevention; national heart, lung, and blood institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity[J]. Circulation, 2009, 120(16):1640-1645.
[2] Ong G, Davis W A, Davis T M. Serum uric acid does not predict cardiovascular or all-cause mortality in type 2 diabetes:the Fremantle Diabetes Study[J]. Diabetologia,2010, 53(7):1288-1294.
[3] 张永媛. 基于队列设计纵向监测与概率图模型的非酒精性脂肪肝与代谢综合征双向因果推断研究[D].济南:山东大学,2013.
[4] Fernández-Bergés D, Consuegra-Sánchez L, Peñafiel J, et al. Metabolic and inflammatory profiles of biomarkers in obesity, metabolic syndrome, and diabetes in a mediterranean population. DARIOS Inflammatory Study[J]. Rev Esp Cardiol (Engl Ed), 2014, 67(8):624-631.
[5] Karbek B, Bozkurt N C, Topaloglu O, et al. Relationship of vaspin and apelin levels with insulin resistance and atherosclerosis in metabolic syndrome[J]. Minerva Endocrinol, 2014, 39(2):99-105.
[6] Mottillo S, Filion K B, Genest J, et al. The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis[J]. J Am Coll Cardiol, 2010, 56(14):1113-1132.
[7] Singh A K, Kari J A. Metabolic syndrome and chronic kidney disease[J]. Current opinion in nephrology and hypertension, 2013, 22(2):198-203.
[8] Lasselin J, Capuron L. Chronic low-grade inflammation in metabolic disorders:relevance for behavioral symptoms[J]. Neuroimmunomodulation, 2014, 21(2-3):95-101.
[9] 段力园, 刘晨曦,赵静,等. 胰岛素抵抗状态下脂代谢和炎性反应相互关系研究进展[J]. 解放军医药杂志,2014,26(9):101-106.
[10] 李娟, 郭广亚,周莉.某社区居民代谢综合征影响因素分析[J]. 中国煤炭工业医学杂志,2014,17(12):2018-2020.
[11] Barazzoni R, Gortan Cappellari G G, Semolic A, et al. The association between hematological parameters and insulin resistance is modified by body mass index-results from the North-East Italy MoMa population study[J]. PLoS One, 2014, 9(7):e101590.
[12] Vuong J, Qiu Y, La M, et al. Reference intervals of complete blood count constituents are highly correlated to waist circumference:Should obese patients have their own "normal values?"[J]. Am J Hematol, 2014,89(7):671-677.
[13] Odagiri K, Uehara A, Mizuta I, et al. Longitudinal study on white blood cell count and the incidence of metabolic syndrome[J]. Intern Med,2011, 50(21):2491-2498.
[14] Babio N, Ibarrola-Jurado N, Bulló M, et al. White blood cell counts as risk markers of developing metabolic syndrome and its components in the PREDIMED study[J]. PLoS One, 2013, 8(3):e58354.
[15] Mardi T, Toker S, Melamed S, et al. Increased erythropoiesis and subclinical inflammation as part of the metabolic syndrome[J]. Diabetes Res Clin Pract,2005, 69(3):249-255.
[16] Kim J A, Choi Y S, Hong J I, et al. Association of metabolic syndrome with white blood cell subtype and red blood cells[J]. Endocr J,2006, 53(1):133-139.
[17] Kotani K, Sakane N, Kurozawa Y. Increased red blood cells in patients with metabolic syndrome[J]. Endocr J,2006, 53(5):711-712.
[18] Lohsoonthorn V, Jiamjarasrungsi W, Williams M A. Association of hematological parameters with clustered components of metabolic syndrome among professional and office workers in bangkok, thailand[J]. Diabetes & Metab Syndr, 2007, 1(3):143-149.
[19] Kawamoto R, Tabara Y, Kohara K, et al. Hematological parameters are associated with metabolic syndrome in Japanese community-dwelling persons[J]. Endocrine, 2013, 43(2):334-341.
[20] Sugimori H, Tomoda F, Koike T, et al. Blood rheology and platelet function in untreated early-stage essential hypertensives complicated with metabolic syndrome[J]. Int J Hyperten, 2012, 2012:109830.
[21] Phillips AC, Carroll D, Gale CR, et al. Lymphocyte sub-population cell counts are associated with the metabolic syndrome and its components in the Vietnam Experience Study. Atherosclerosis 2010, 213(1):294-298.