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Markers of Iron Metabolism and Stroke Risk: Cross-Sectional and Longitudinal Findings from the China Health and Nutrition Survey (CHNS)

BACKGROUND: The association of iron metabolism or status with the stroke risk remains unclear. We aimed to examine the associations between markers of iron metabolism or status and stroke risk using data from the China Health and Nutrition Survey (CHNS). METHODS: Overall, 8589 in the CHNS in 2009, a...

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Autores principales: Liu, Dong, Zhang, Ya, Wang, Cui-Cui, Xiao-Hong, E, Zuo, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837878/
https://www.ncbi.nlm.nih.gov/pubmed/35223632
http://dx.doi.org/10.18502/ijph.v51i1.8302
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author Liu, Dong
Zhang, Ya
Wang, Cui-Cui
Xiao-Hong, E
Zuo, Hui
author_facet Liu, Dong
Zhang, Ya
Wang, Cui-Cui
Xiao-Hong, E
Zuo, Hui
author_sort Liu, Dong
collection PubMed
description BACKGROUND: The association of iron metabolism or status with the stroke risk remains unclear. We aimed to examine the associations between markers of iron metabolism or status and stroke risk using data from the China Health and Nutrition Survey (CHNS). METHODS: Overall, 8589 in the CHNS in 2009, and 7290 participants between 2009 and 2015 were included in the cross-sectional and longitudinal analyses, respectively. Markers included hemoglobin, ferritin (FET), transferrin (TRF), soluble transferrin receptor (sTRF-R), and ratio of sTRF-R/log FET (sTfR-F index). Multivariable logistic regression and Cox proportional hazards models were used to analyze the associations between those markers and risk of stroke. Age, gender, high-sensitivity CRP (hsCRP), body mass index (BMI), current smoking, drinking status, diabetes and hypertension were included as potential confounding factors. RESULTS: We observed longitudinal associations of hemoglobin (HR: 1.54, 95% CI: 1.15 – 2.06, P = 0.004), and sTfR-F index (HR: 0.68, 95% CI: 0.46 – 0.99, P = 0.044) with stroke risk among the participants whose BMI ≤ 23 kg/m(2). In addition, FET levels were significantly associated with stroke risk among female (HR: 1.45, 95% CI: 1.00 – 2.09, P = 0.049) after a median of 6.1 years follow-up. Hemoglobin, FET, TRF, sTRF-R, and sTfR-F index were not associated with the risk of stroke in overall analyses. CONCLUSION: FET among female, hemoglobin and sTfR-F index among those BMI ≤ 23 kg/m(2) may be contributing factors for stroke.
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spelling pubmed-88378782022-02-25 Markers of Iron Metabolism and Stroke Risk: Cross-Sectional and Longitudinal Findings from the China Health and Nutrition Survey (CHNS) Liu, Dong Zhang, Ya Wang, Cui-Cui Xiao-Hong, E Zuo, Hui Iran J Public Health Original Article BACKGROUND: The association of iron metabolism or status with the stroke risk remains unclear. We aimed to examine the associations between markers of iron metabolism or status and stroke risk using data from the China Health and Nutrition Survey (CHNS). METHODS: Overall, 8589 in the CHNS in 2009, and 7290 participants between 2009 and 2015 were included in the cross-sectional and longitudinal analyses, respectively. Markers included hemoglobin, ferritin (FET), transferrin (TRF), soluble transferrin receptor (sTRF-R), and ratio of sTRF-R/log FET (sTfR-F index). Multivariable logistic regression and Cox proportional hazards models were used to analyze the associations between those markers and risk of stroke. Age, gender, high-sensitivity CRP (hsCRP), body mass index (BMI), current smoking, drinking status, diabetes and hypertension were included as potential confounding factors. RESULTS: We observed longitudinal associations of hemoglobin (HR: 1.54, 95% CI: 1.15 – 2.06, P = 0.004), and sTfR-F index (HR: 0.68, 95% CI: 0.46 – 0.99, P = 0.044) with stroke risk among the participants whose BMI ≤ 23 kg/m(2). In addition, FET levels were significantly associated with stroke risk among female (HR: 1.45, 95% CI: 1.00 – 2.09, P = 0.049) after a median of 6.1 years follow-up. Hemoglobin, FET, TRF, sTRF-R, and sTfR-F index were not associated with the risk of stroke in overall analyses. CONCLUSION: FET among female, hemoglobin and sTfR-F index among those BMI ≤ 23 kg/m(2) may be contributing factors for stroke. Tehran University of Medical Sciences 2022-01 /pmc/articles/PMC8837878/ /pubmed/35223632 http://dx.doi.org/10.18502/ijph.v51i1.8302 Text en Copyright © 2022 Liu et al. Published by Tehran University of Medical Sciences https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.
spellingShingle Original Article
Liu, Dong
Zhang, Ya
Wang, Cui-Cui
Xiao-Hong, E
Zuo, Hui
Markers of Iron Metabolism and Stroke Risk: Cross-Sectional and Longitudinal Findings from the China Health and Nutrition Survey (CHNS)
title Markers of Iron Metabolism and Stroke Risk: Cross-Sectional and Longitudinal Findings from the China Health and Nutrition Survey (CHNS)
title_full Markers of Iron Metabolism and Stroke Risk: Cross-Sectional and Longitudinal Findings from the China Health and Nutrition Survey (CHNS)
title_fullStr Markers of Iron Metabolism and Stroke Risk: Cross-Sectional and Longitudinal Findings from the China Health and Nutrition Survey (CHNS)
title_full_unstemmed Markers of Iron Metabolism and Stroke Risk: Cross-Sectional and Longitudinal Findings from the China Health and Nutrition Survey (CHNS)
title_short Markers of Iron Metabolism and Stroke Risk: Cross-Sectional and Longitudinal Findings from the China Health and Nutrition Survey (CHNS)
title_sort markers of iron metabolism and stroke risk: cross-sectional and longitudinal findings from the china health and nutrition survey (chns)
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837878/
https://www.ncbi.nlm.nih.gov/pubmed/35223632
http://dx.doi.org/10.18502/ijph.v51i1.8302
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