The relationship between red blood cell distribution width and metabolic syndrome in elderly Chinese: a cross-sectional study.


Journal

Lipids in health and disease
ISSN: 1476-511X
Titre abrégé: Lipids Health Dis
Pays: England
ID NLM: 101147696

Informations de publication

Date de publication:
31 Jan 2019
Historique:
received: 14 09 2018
accepted: 17 01 2019
entrez: 2 2 2019
pubmed: 2 2 2019
medline: 31 5 2019
Statut: epublish

Résumé

Metabolic syndrome (MS) is a group of risk factors which includes hypertension, hyperglycemia, abnormal cholesterol levels, and obesity. Red blood cell distribution width (RDW) is a parameter that reflects the heterogeneity of erythrocyte volume. But the relationship between MS and RDW is intricate and remains poorly understood. We hypothesized that high RDW was associated with MS via inflammation. Our study aimed to investigate the association between RDW and MS in Chinese elderly large cohort. If RDW had a strong correlation with MS, RDW could become a predictor of MS? We recruited 10,887 ostensibly healthy participants aged from 60 to 93 (5795 male, 5092 female). Associations between RDW and other variables were assessed by Pearson correlation. Crude and adjusted odds ratio for MS with 95% confidence intervals was calculated by binary logistic regression models. In elderly Chinese, RDW was significantly higher in males than in females. The prevalence of both men and women decreased with the rise of RDW. For both sexes, RDW demonstrated positive correlations with age, systolic blood pressure (0.070 in males,0.058 in females), high density lipoprotein(0.027in males,0.064 in females), negative correlations with triglycerides (- 0.120 in males,-0.074 in females) and fasting glucose (- 0.048 in males,-0.016 in females). Notably, we detected the associated reduced risks at the the third and fourth quartile of RDW in males. In women, there was no statistical significance. We found the adjusted odds ratios of MS was lower at the third and fourth quartile of RDW in males.

Identifiants

pubmed: 30704536
doi: 10.1186/s12944-019-0978-7
pii: 10.1186/s12944-019-0978-7
pmc: PMC6357446
doi:

Substances chimiques

Blood Glucose 0
Lipoproteins, HDL 0
Triglycerides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

34

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Auteurs

Ziyu Yan (Z)

Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, 300052, Tianjin, People's Republic of China.

Yaguang Fan (Y)

Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, 300052, Tianjin, People's Republic of China.

Zhaowei Meng (Z)

Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, 300052, Tianjin, People's Republic of China. jamesmencius@163.com.

Chao Huang (C)

University of Hull, Allam Medical Building, Cottingham Road, Hull, HU6 7RX, UK.

Ming Liu (M)

Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.

Qing Zhang (Q)

Department of Health Management, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.

Kun Song (K)

Department of Health Management, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.

Qiyu Jia (Q)

Department of Health Management, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.

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