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

ABSTRACT: OBJECTIVE:Increasing studies have reported that erythrocyte parameters, including red blood cells (RBCs), haematocrit (HCT), haemoglobin (Hb) and red blood cell distribution width (RDW), are associated with metabolic syndrome (MetS) in adults worldwide. However, the association, stratified by sex, remains to be elucidated, particularly in the Pearl River Delta region of China. Therefore, our aim was to explore the association of erythrocyte parameters with MetS, stratified by sex, in the Pearl River Delta region of China. METHODS:In this cross sectional study, 2161 men and 2511 women were enrolled. MetS was diagnosed using a modified version of the Adult Treatment Panel III criteria. Logistic regression analyses were performed to calculate adjusted ORs of erythrocyte parameters associated with MetS stratified by sex. RESULTS:The prevalence of MetS was higher in women than in men (35.2%vs26.7%). RBC, HCT, Hb and RDW values increased linearly with the number of MetS components from 0 to 5 identified in both men and women. Among men, the ORs of MetS risk increased across the tertiles of Hb (Q2: OR=1.921, 95% CI=1.170 to 3.151; Q3: OR=1.992, 95%CI=1.198 to 3.312). Men in the highest tertiles of RDW had a 2.752-fold increased risk of suffering from MetS compared with those in the reference group. Among women, the ORs of MetS risk also increased across the tertiles of Hb (Q2: OR=1.538, 95%CI=1.008 to 2.348; Q3: OR=1.665, 95%CI=1.075 to 2.578). Women in the highest tertiles of RBC had a 1.718-fold increased risk of experiencing MetS compared with those in the reference group. CONCLUSIONS:MetS was more prevalent in women than in men. The association between erythrocyte parameters and MetS differed between the sexes. RBC and Hb were identified as risk factors for MetS in women and Hb and RDW as risk factors in men.

SUBMITTER: Huang LL

PROVIDER: S-EPMC5781098 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundIn recent years, frequent outbreaks of dengue fever (DF) have become an increasingly serious public health issue in China, especially in the Pearl River Delta (PRD) with fast socioeconomic developments. Previous studies mainly focused on the historic DF epidemics, their influencing factors, and the prediction of DF risks. However, the future risks of this disease under both different socioeconomic development and representative concentration pathways (RCPs) scenarios remain little understood.Methodology and principal findingsIn this study, a spatial dataset of gross domestic product (GDP), population density, and land use and land coverage (LULC) in 2050 and 2070 was obtained by simulation based on the different shared socioeconomic pathways (SSPs), and the future climatic data derived from the RCP scenarios were integrated into the Maxent models for predicting the future DF risk in the PRD region. Among all the variables included in this study, socioeconomics factors made the dominant contribution (83% or so) during simulating the current spatial distribution of the DF epidemics in the PRD region. Moreover, the spatial distribution of future DF risk identified by the climatic and socioeconomic (C&S) variables models was more detailed than that of the climatic variables models. Along with global warming and socioeconomic development, the zones with DF high and moderate risk will continue to increase, and the population at high and moderate risk will reach a maximum of 48.47 million (i.e., 63.78% of the whole PRD) under the RCP 4.5/SSP2 in 2070.ConclusionsThe increasing DF risk may be an inevitable public health threat in the PRD region with rapid socioeconomic developments and global warming in the future. Our results suggest that curbs in emissions and more sustainable socioeconomic growth targets offer hope for limiting the future impact of dengue, and effective prevention and control need to continue to be strengthened at the junction of Guangzhou-Foshan, north-central Zhongshan city, and central-western Dongguan city. Our study provides useful clues for relevant hygienic authorities making targeted adapting strategies for this disease.

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

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