Literature DB >> 23307027

Hematological parameters are associated with metabolic syndrome in Japanese community-dwelling persons.

Ryuichi Kawamoto1, Yasuharu Tabara, Katsuhiko Kohara, Tetsuro Miki, Tomo Kusunoki, Masanori Abe, Tateaki Katoh.   

Abstract

Hematological parameters including red blood cell (RBC) count, hematocrit (Hct), and hemoglobin (Hgb) are independently associated with insulin resistance. The aim of this study was to determine whether hematological parameters are associated with metabolic syndrome (MetS), and its components, independent of gender, body mass index (BMI) and other confounders of cardiovascular disease. A total of 692 men [60 ± 14 (mean ± standard deviation); 20-89 (range) years] and 1,004 women (63 ± 12; 21-88 years) participants without diabetes were recruited from a single community at the time of their annual health examination. We examined the relationship between hematological parameters and insulin resistance assessed by Homeostasis model assessment of insulin resistance (HOMA-IR), MetS, and its components. RBC count, Hct, and Hgb were all significantly associated with measures of HOMA-IR. Multiple linear regression analyses for HOMA-IR showed that RBC count, Hct, and Hgb were all shown to be independently and significantly associated with HOMA-IR as well as gender, BMI, alcohol consumption, current smoking status, γ-glutamyltransferase, high molecular weight adiponectin, and uric acid. Inclusion of hematological parameters into the model further increased the coefficient of determination (R (2)). Compared to participants with the lowest quartile of Hct, multivariate-adjusted odds ratio for insulin resistance (HOMA-IR ≥ 1.74) was 2.27 [95 % confidence interval (CI), 1.55-3.31] for the third quartile, and 3.78 (95 % CI, 2.38-5.99) for the highest quartile. Hct was significantly and strongly associated with increased HOMA-IR levels. Hematological parameters were positively associated with insulin resistance and prevalence of MetS in Japanese dwelling-community persons.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23307027     DOI: 10.1007/s12020-012-9662-7

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


  41 in total

1.  Relation between insulin resistance and hematological parameters in a Brazilian sample.

Authors:  Vivian C M Ellinger; Ludmila T Carlini; Rodrigo O Moreira; Ricardo M R Meirelles
Journal:  Arq Bras Endocrinol Metabol       Date:  2006-04-17

2.  Relation of blood viscosity to demographic and physiologic variables and to cardiovascular risk factors in apparently normal adults.

Authors:  G de Simone; R B Devereux; S Chien; M H Alderman; S A Atlas; J H Laragh
Journal:  Circulation       Date:  1990-01       Impact factor: 29.690

3.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.

Authors:  W T Friedewald; R I Levy; D S Fredrickson
Journal:  Clin Chem       Date:  1972-06       Impact factor: 8.327

4.  CD40L induces inflammation and adipogenesis in adipose cells--a potential link between metabolic and cardiovascular disease.

Authors:  Anna Missiou; Dennis Wolf; Isabel Platzer; Sandra Ernst; Carina Walter; Philipp Rudolf; Katja Zirlik; Natascha Köstlin; Florian K Willecke; Christian Münkel; Uwe Schönbeck; Peter Libby; Christoph Bode; Nerea Varo; Andreas Zirlik
Journal:  Thromb Haemost       Date:  2010-02-19       Impact factor: 5.249

5.  Regulation of hematopoietic niches by sympathetic innervation.

Authors:  Hector Leonardo Aguila
Journal:  Bioessays       Date:  2006-07       Impact factor: 4.345

6.  Serum sphingolipids and inflammatory mediators in adolescents at risk for metabolic syndrome.

Authors:  I Majumdar; L D Mastrandrea
Journal:  Endocrine       Date:  2012-01-07       Impact factor: 3.633

Review 7.  The CD40-CD40L system in cardiovascular disease.

Authors:  Burak Pamukcu; Gregory Y H Lip; Viktor Snezhitskiy; Eduard Shantsila
Journal:  Ann Med       Date:  2011-01-18       Impact factor: 4.709

8.  Association of hematological parameters with insulin resistance and beta-cell dysfunction in nondiabetic subjects.

Authors:  Anthony J G Hanley; Ravi Retnakaran; Ying Qi; Hertzel C Gerstein; Bruce Perkins; Janet Raboud; Stewart B Harris; Bernard Zinman
Journal:  J Clin Endocrinol Metab       Date:  2009-07-21       Impact factor: 5.958

Review 9.  Hemodynamic actions of insulin.

Authors:  A D Baron
Journal:  Am J Physiol       Date:  1994-08

10.  Association of Hematological Parameters with Clustered Components of Metabolic Syndrome among Professional and Office Workers in Bangkok, Thailand.

Authors:  Vitool Lohsoonthorn; Wiroj Jiamjarasrungsi; Michelle A Williams
Journal:  Diabetes Metab Syndr       Date:  2007-09
View more
  20 in total

1.  Viral clearance ameliorates hematological and inflammatory markers among diabetic patients infected with hepatitis C genotype 4.

Authors:  A Abdel Moneim; H A Suleiman; B Mahmoud; D Mabrouk; M Y Zaky; B Mahmoud
Journal:  Clin Exp Med       Date:  2020-02-19       Impact factor: 3.984

2.  Sex-specific associations between erythrocyte measures and obstructive sleep apnea.

Authors:  Taomei Li; Naima Covassin; Lu Tan; Rong Ren; Ye Zhang; Fei Lei; Linghui Yang; Junying Zhou; Hongqiang Sun; Virend K Somers; Xiangdong Tang
Journal:  J Clin Sleep Med       Date:  2020-07-15       Impact factor: 4.062

3.  Association of hematocrit with blood pressure and hypertension.

Authors:  Marzieh Emamian; Seyed Mahdi Hasanian; Maryam Tayefi; Moniba Bijari; Faeze Movahedian Far; Mojtaba Shafiee; Amir Avan; Alireza Heidari-Bakavoli; Mohsen Moohebati; Mahmoud Ebrahimi; Sousan Darroudi; Parvin Zamani; Mahmoud Reza Azarpazhooh; Mohsen Nematy; Mohammad Safarian; Gordon A Ferns; Habibollah Esmaeili; Mohammad Reza Parizadeh; Majid Ghayour-Mobarhan
Journal:  J Clin Lab Anal       Date:  2017-01-20       Impact factor: 2.352

4.  Hemoglobin concentration and incident metabolic syndrome: a population-based large-scale cohort study.

Authors:  Yoshitaka Hashimoto; Muhei Tanaka; Toshihiro Kimura; Noriyuki Kitagawa; Masahide Hamaguchi; Mai Asano; Masahiro Yamazaki; Yohei Oda; Hitoshi Toda; Naoto Nakamura; Michiaki Fukui
Journal:  Endocrine       Date:  2015-04-12       Impact factor: 3.633

5.  Lean-non-alcoholic fatty liver disease increases risk for metabolic disorders in a normal weight Chinese population.

Authors:  Ren-Nan Feng; Shan-Shan Du; Cheng Wang; Yan-Chuan Li; Li-Yan Liu; Fu-Chuan Guo; Chang-Hao Sun
Journal:  World J Gastroenterol       Date:  2014-12-21       Impact factor: 5.742

6.  Association of hematological parameters with metabolic syndrome in Beijing adult population: a longitudinal study.

Authors:  Li-Xin Tao; Xia Li; Hui-Ping Zhu; Da Huo; Tao Zhou; Lei Pan; Yan-Xia Luo; Wei Wang; Zhao-Ping Wang; Dong-Ning Chen; Li-Juan Wu; Xiu-Hua Guo
Journal:  Endocrine       Date:  2013-10-04       Impact factor: 3.633

7.  Predicting Metabolic Syndrome Using the Random Forest Method.

Authors:  Apilak Worachartcheewan; Watshara Shoombuatong; Phannee Pidetcha; Wuttichai Nopnithipat; Virapong Prachayasittikul; Chanin Nantasenamat
Journal:  ScientificWorldJournal       Date:  2015-07-28

8.  A routine biomarker-based risk prediction model for metabolic syndrome in urban Han Chinese population.

Authors:  Wenchao Zhang; Qicai Chen; Zhongshang Yuan; Jing Liu; Zhaohui Du; Fang Tang; Hongying Jia; Fuzhong Xue; Chengqi Zhang
Journal:  BMC Public Health       Date:  2015-01-31       Impact factor: 3.295

9.  Association between erythrocyte parameters and metabolic syndrome in urban Han Chinese: a longitudinal cohort study.

Authors:  Shuo Wu; Haiyan Lin; Chengqi Zhang; Qian Zhang; Dongzhi Zhang; Yongyuan Zhang; Wenjia Meng; Zhenxin Zhu; Fang Tang; Fuzhong Xue; Yanxun Liu
Journal:  BMC Public Health       Date:  2013-10-21       Impact factor: 3.295

10.  Machine learning approaches for discerning intercorrelation of hematological parameters and glucose level for identification of diabetes mellitus.

Authors:  Apilak Worachartcheewan; Chanin Nantasenamat; Pisit Prasertsrithong; Jakraphob Amranan; Teerawat Monnor; Tassaneya Chaisatit; Wilairat Nuchpramool; Virapong Prachayasittikul
Journal:  EXCLI J       Date:  2013-10-21       Impact factor: 4.068

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.