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Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012)

BACKGROUND: Hyperuricemia predisposes to gout, which may result in tophi, kidney stones, or urate nephropathy even kidney failure. Many metabolic risk factors and disorders has been recognized as a key risk factor contributing to development of hyperuricemia. AIM: To determine the prevalence of hype...

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Autores principales: Liu, Fen, Du, Guo-Li, Song, Ning, Ma, Yi-Tong, Li, Xiao-Mei, Gao, Xiao-Ming, Yang, Yi-Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115071/
https://www.ncbi.nlm.nih.gov/pubmed/32238146
http://dx.doi.org/10.1186/s12944-020-01211-z
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author Liu, Fen
Du, Guo-Li
Song, Ning
Ma, Yi-Tong
Li, Xiao-Mei
Gao, Xiao-Ming
Yang, Yi-Ning
author_facet Liu, Fen
Du, Guo-Li
Song, Ning
Ma, Yi-Tong
Li, Xiao-Mei
Gao, Xiao-Ming
Yang, Yi-Ning
author_sort Liu, Fen
collection PubMed
description BACKGROUND: Hyperuricemia predisposes to gout, which may result in tophi, kidney stones, or urate nephropathy even kidney failure. Many metabolic risk factors and disorders has been recognized as a key risk factor contributing to development of hyperuricemia. AIM: To determine the prevalence of hyperuricemia and its association with adiposity and dyslipidemia. METHODS: We recruited non-hospitalized participants (aged ≥35 years) in Xinjiang, a northwest part of China based on the Cardiovascular Risk Survey (CRS 2008–2012). Information of general health status, seafood or internal organs intake and history of disease were obtained by using an interview-based questionnaire. The levels of serum uric acid (sUA) and creatinine and lipid profiles were measured. A multivariate logistic regression model was performed to assess the association between prevalence of hyperuricemia and adiposity and dyslipidemia. RESULTS: This study recruited 16,611 participants, and 14,618 was included (mean age of 50.5 ± 12.6 years, 46.6% was males). The study population comprised three ethnic groups with 39.4% of Han, 32.6% of Uygur and 28% of Kazakh Chinese. The overall prevalence of hyperuricemia was 9.1% (95% CI: 8.6 to 9.6) and it was11.8% in men was 6.7% in women. The three ethnic groups also had different hyperuricemia prevalence with 15.4% in Han, 4.6% in Uygur and 5.5% in Kazakh Chinese, which corresponding to a respective mean sUA levels of 306.2 ± 86.9, 249.4 ± 76.1 and 259.8 ± 78.7 μmol/L. Participants with diabetes, hypertension or hypertriglyceridemia and higher blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR), fasting blood glucose (FBG), triglycerides (TG), total cholesterol (TC) had higher levels of sUA (P < 0.001 respectively). Multivariate logistic regression analysis revealed that age, gender, ethnicity, drinking, obesity, waist circumference, TG (≥2.26 mmol/L), TC (≥6.22 mmol/L) are major risk factors for hyperuricemia. Compared to the 35–44-year age group [adjusted odds ratio (AOR) = 1], the risk of hyperuricemia increased 1.61-fold in the 65–74-year age group (AOR = 1.61, 95% CI: 1.34–1.91; P < 0.001), and 1.71-fold in the 75- and older age group (AOR = 1.71, 95% CI: 1.27–2.29; P < 0.001). There was a 1.45-fold higher risk of hyperuricemia in men (AOR = 1.45, 95% CI: 1.24–1.68; P < 0.001) compared to women. Further, the risk of hyperuricemia increased significantly with drinking (AOR = 1.36; 95% CI: 1.16–1.61; P < 0.001), overweight (AOR = 1.25; 95% CI: 1.06–1.48; P = 0.01), obesity (AOR = 1.28; 95% CI: 1.10–1.49; P < 0.001), waist circumference (AOR = 1.48; 95% CI: 1.24–1.78; P < 0.001), TC (≥6.22 mmol/L, AOR = 1.45; 95% CI: 1.19–1.75; P < 0.001), TG (≥2.26 mmol/L, AOR = 2.74; 95% CI: 2.39–3.14; P < 0.001). CONCLUSIONS: These findings documented that the hyperuricemia is prevalent in the economically developing regions of northwest China. Hyperuricemia is associated with advanced age, male ender and general metabolic and cardiovascular risk factors. Obesity and dyslipidemia increase the risk of hyperuricemia.
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spelling pubmed-71150712020-04-07 Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012) Liu, Fen Du, Guo-Li Song, Ning Ma, Yi-Tong Li, Xiao-Mei Gao, Xiao-Ming Yang, Yi-Ning Lipids Health Dis Research BACKGROUND: Hyperuricemia predisposes to gout, which may result in tophi, kidney stones, or urate nephropathy even kidney failure. Many metabolic risk factors and disorders has been recognized as a key risk factor contributing to development of hyperuricemia. AIM: To determine the prevalence of hyperuricemia and its association with adiposity and dyslipidemia. METHODS: We recruited non-hospitalized participants (aged ≥35 years) in Xinjiang, a northwest part of China based on the Cardiovascular Risk Survey (CRS 2008–2012). Information of general health status, seafood or internal organs intake and history of disease were obtained by using an interview-based questionnaire. The levels of serum uric acid (sUA) and creatinine and lipid profiles were measured. A multivariate logistic regression model was performed to assess the association between prevalence of hyperuricemia and adiposity and dyslipidemia. RESULTS: This study recruited 16,611 participants, and 14,618 was included (mean age of 50.5 ± 12.6 years, 46.6% was males). The study population comprised three ethnic groups with 39.4% of Han, 32.6% of Uygur and 28% of Kazakh Chinese. The overall prevalence of hyperuricemia was 9.1% (95% CI: 8.6 to 9.6) and it was11.8% in men was 6.7% in women. The three ethnic groups also had different hyperuricemia prevalence with 15.4% in Han, 4.6% in Uygur and 5.5% in Kazakh Chinese, which corresponding to a respective mean sUA levels of 306.2 ± 86.9, 249.4 ± 76.1 and 259.8 ± 78.7 μmol/L. Participants with diabetes, hypertension or hypertriglyceridemia and higher blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR), fasting blood glucose (FBG), triglycerides (TG), total cholesterol (TC) had higher levels of sUA (P < 0.001 respectively). Multivariate logistic regression analysis revealed that age, gender, ethnicity, drinking, obesity, waist circumference, TG (≥2.26 mmol/L), TC (≥6.22 mmol/L) are major risk factors for hyperuricemia. Compared to the 35–44-year age group [adjusted odds ratio (AOR) = 1], the risk of hyperuricemia increased 1.61-fold in the 65–74-year age group (AOR = 1.61, 95% CI: 1.34–1.91; P < 0.001), and 1.71-fold in the 75- and older age group (AOR = 1.71, 95% CI: 1.27–2.29; P < 0.001). There was a 1.45-fold higher risk of hyperuricemia in men (AOR = 1.45, 95% CI: 1.24–1.68; P < 0.001) compared to women. Further, the risk of hyperuricemia increased significantly with drinking (AOR = 1.36; 95% CI: 1.16–1.61; P < 0.001), overweight (AOR = 1.25; 95% CI: 1.06–1.48; P = 0.01), obesity (AOR = 1.28; 95% CI: 1.10–1.49; P < 0.001), waist circumference (AOR = 1.48; 95% CI: 1.24–1.78; P < 0.001), TC (≥6.22 mmol/L, AOR = 1.45; 95% CI: 1.19–1.75; P < 0.001), TG (≥2.26 mmol/L, AOR = 2.74; 95% CI: 2.39–3.14; P < 0.001). CONCLUSIONS: These findings documented that the hyperuricemia is prevalent in the economically developing regions of northwest China. Hyperuricemia is associated with advanced age, male ender and general metabolic and cardiovascular risk factors. Obesity and dyslipidemia increase the risk of hyperuricemia. BioMed Central 2020-04-01 /pmc/articles/PMC7115071/ /pubmed/32238146 http://dx.doi.org/10.1186/s12944-020-01211-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Fen
Du, Guo-Li
Song, Ning
Ma, Yi-Tong
Li, Xiao-Mei
Gao, Xiao-Ming
Yang, Yi-Ning
Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012)
title Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012)
title_full Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012)
title_fullStr Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012)
title_full_unstemmed Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012)
title_short Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012)
title_sort hyperuricemia and its association with adiposity and dyslipidemia in northwest china: results from cardiovascular risk survey in xinjiang (crs 2008–2012)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115071/
https://www.ncbi.nlm.nih.gov/pubmed/32238146
http://dx.doi.org/10.1186/s12944-020-01211-z
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