Literature DB >> 25863486

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

Yoshitaka Hashimoto1, Muhei Tanaka1, Toshihiro Kimura1, Noriyuki Kitagawa1, Masahide Hamaguchi1, Mai Asano1, Masahiro Yamazaki1, Yohei Oda1, Hitoshi Toda2, Naoto Nakamura1, Michiaki Fukui3.   

Abstract

Previous cross-sectional studies revealed an association between hemoglobin concentration and a prevalence of metabolic syndrome (MetS). However, the association between hemoglobin concentration and incident MetS remains to be elucidated. Thus, the aim of this study was to investigate the association between hemoglobin concentration and incident MetS. We enrolled 2695 subjects (1454 men and 1241 women) and performed 8-year follow-up cohort study. MetS was diagnosed, according to the joint interim statement, when a subject had three or more of the following components: hypertension; hyperglycemia; hypertriglyceridemia; low high-density lipoprotein cholesterol; and abdominal obesity. Logistic regression analyses were performed to assess the impact of hemoglobin concentration on incident MetS by adjusting for age, body mass index, lifestyle factors, including smoking status, habit of alcohol and habit of exercise, systolic blood pressure, fasting plasma glucose, triglycerides, high-density lipoprotein cholesterol, creatinine, and uric acid. The highest (≥157 g/L) and third (151-156 g/L) hemoglobin concentration quartiles were associated with the increased risk of incident MetS compared to the lowest (<145 g/L) hemoglobin concentration quartile after adjusting for covariates in men (multivariate odds ratio (OR) 2.24, 95% CI 1.34-3.85, P = 0.0021 and multivariate OR 2.03, 95% CI 1.21-3.45, P = 0.0070). On the other hand, there was no association between hemoglobin concentration and incident MetS in women. Hemoglobin concentration was a novel risk marker for incident MetS in men.

Entities:  

Keywords:  Epidemiology; Hematological parameters; Hemoglobin; Metabolic syndrome

Mesh:

Year:  2015        PMID: 25863486     DOI: 10.1007/s12020-015-0587-9

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


  41 in total

1.  Prevalence of metabolic syndrome in Okayama prefecture, Japan.

Authors:  Nobuyuki Miyatake; Yuriko Kawasaki; Hidetaka Nishikawa; Sumiko Takenami; Takeyuki Numata
Journal:  Intern Med       Date:  2006-02-15       Impact factor: 1.271

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.  Haematocrit and risk of development of Type 2 diabetes mellitus in middle-aged Japanese men.

Authors:  N Nakanishi; K Suzuki; K Tatara
Journal:  Diabet Med       Date:  2004-05       Impact factor: 4.359

4.  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

5.  Revised equations for estimated GFR from serum creatinine in Japan.

Authors:  Seiichi Matsuo; Enyu Imai; Masaru Horio; Yoshinari Yasuda; Kimio Tomita; Kosaku Nitta; Kunihiro Yamagata; Yasuhiko Tomino; Hitoshi Yokoyama; Akira Hishida
Journal:  Am J Kidney Dis       Date:  2009-04-01       Impact factor: 8.860

6.  Iron status and reproduction in US women: National Health and Nutrition Examination Survey, 1999-2006.

Authors:  Elizabeth M Miller
Journal:  PLoS One       Date:  2014-11-06       Impact factor: 3.240

7.  Body iron stores and glucose intolerance in premenopausal women: role of hyperandrogenism, insulin resistance, and genomic variants related to inflammation, oxidative stress, and iron metabolism.

Authors:  M Angeles Martínez-García; Manuel Luque-Ramírez; José L San-Millán; Héctor F Escobar-Morreale
Journal:  Diabetes Care       Date:  2009-04-28       Impact factor: 17.152

8.  Blood viscosity and hematocrit as risk factors for type 2 diabetes mellitus: the atherosclerosis risk in communities (ARIC) study.

Authors:  Leonardo J Tamariz; J Hunter Young; James S Pankow; Hsin-Chieh Yeh; Maria Ines Schmidt; Brad Astor; Frederick L Brancati
Journal:  Am J Epidemiol       Date:  2008-10-17       Impact factor: 4.897

9.  Self-reported eating rate and metabolic syndrome in Japanese people: cross-sectional study.

Authors:  Satsue Nagahama; Kayo Kurotani; Ngoc Minh Pham; Akiko Nanri; Keisuke Kuwahara; Masashi Dan; Yuji Nishiwaki; Tetsuya Mizoue
Journal:  BMJ Open       Date:  2014-09-05       Impact factor: 2.692

10.  Age- and body mass index-dependent relationship between correction of iron deficiency anemia and insulin resistance in non-diabetic premenopausal women.

Authors:  Ali Ozdemir; Can Sevinç; Umut Selamet; Berna Kamaci; Sacide Atalay
Journal:  Ann Saudi Med       Date:  2007 Sep-Oct       Impact factor: 1.526

View more
  18 in total

1.  Fatty liver as a risk factor for progression from metabolically healthy to metabolically abnormal in non-overweight individuals.

Authors:  Yoshitaka Hashimoto; Masahide Hamaguchi; Takuya Fukuda; Akihiro Ohbora; Takao Kojima; Michiaki Fukui
Journal:  Endocrine       Date:  2017-05-16       Impact factor: 3.633

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.  Weight gain since age of 20 as risk of metabolic syndrome even in non-overweight individuals.

Authors:  Yoshitaka Hashimoto; Masahide Hamaguchi; Takuya Fukuda; Akihiro Obora; Takao Kojima; Michiaki Fukui
Journal:  Endocrine       Date:  2017-09-30       Impact factor: 3.633

4.  Prognostic value of metabolic syndrome in renal structural changes in type 2 diabetes.

Authors:  Lijun Zhao; Yutong Zou; Lin Bai; Li Zhou; Honghong Ren; Yucheng Wu; Yiting Wang; Shuangqing Li; Qiaoli Su; Linqiao Tang; Yuancheng Zhao; Huan Xu; Lin Li; Zhonglin Chai; Mark E Cooper; Nanwei Tong; Jie Zhang; Fang Liu
Journal:  Int Urol Nephrol       Date:  2022-01-19       Impact factor: 2.266

5.  Sodium-chloride Difference and Metabolic Syndrome: A Population-based Large-scale Cohort Study.

Authors:  Toshihiro Kimura; Yoshitaka Hashimoto; Muhei Tanaka; Mai Asano; Masahiro Yamazaki; Yohei Oda; Hitoshi Toda; Yoshinori Marunaka; Naoto Nakamura; Michiaki Fukui
Journal:  Intern Med       Date:  2016-11-01       Impact factor: 1.271

6.  Combined effect of body mass index and waist-height ratio on incident diabetes; a population based cohort study.

Authors:  Kazuteru Mitsuhashi; Yoshitaka Hashimoto; Muhei Tanaka; Hitoshi Toda; Shinobu Matsumoto; Emi Ushigome; Mai Asano; Masahiro Yamazaki; Yohei Oda; Michiaki Fukui
Journal:  J Clin Biochem Nutr       Date:  2017-07-28       Impact factor: 3.114

7.  Association of erythrocyte parameters with metabolic syndrome in the Pearl River Delta region of China: a cross sectional study.

Authors:  Ling Ling Huang; Dong-Mei Dou; Nan Liu; Xiao Xiao Wang; Li-Ying Fu; Xiao Wu; Peixi Wang
Journal:  BMJ Open       Date:  2018-01-10       Impact factor: 2.692

8.  Prediction of the development of metabolic syndrome by the Markov model based on a longitudinal study in Dalian City.

Authors:  Xiao Tang; Qigui Liu
Journal:  BMC Public Health       Date:  2018-06-07       Impact factor: 3.295

9.  Genomic Heritabilities and Correlations of 17 Traits Related to Obesity and Associated Conditions in the Japanese Population.

Authors:  Olivier Gervais; Kazuko Ueno; Yosuke Kawai; Yuki Hitomi; Kazuharu Misawa; Shunsuke Teraguchi; Yen-Yen Wang; Katsushi Tokunaga; Masao Nagasaki
Journal:  G3 (Bethesda)       Date:  2020-07-07       Impact factor: 3.154

10.  Systematic evaluation of the association between hemoglobin levels and metabolic profile implicates beneficial effects of hypoxia.

Authors:  Juha Auvinen; Joona Tapio; Ville Karhunen; Johannes Kettunen; Raisa Serpi; Elitsa Y Dimova; Dipender Gill; Pasi Soininen; Tuija Tammelin; Juha Mykkänen; Katri Puukka; Mika Kähönen; Emma Raitoharju; Terho Lehtimäki; Mika Ala-Korpela; Olli T Raitakari; Sirkka Keinänen-Kiukaanniemi; Marjo-Riitta Järvelin; Peppi Koivunen
Journal:  Sci Adv       Date:  2021-07-14       Impact factor: 14.136

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.