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Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study
OBJECTIVES: Several studies have demonstrated the association between gamma-glutamyl transferase (GGT) and hyperuricaemia, but little is known about such relation in less-developed ethnic minority regions. DESIGN: We cross-sectionally analysed data from the China Multi-Ethnic Cohort (Yunnan region)....
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152940/ https://www.ncbi.nlm.nih.gov/pubmed/35636797 http://dx.doi.org/10.1136/bmjopen-2021-058793 |
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author | Wang, Yanjiao Xu, Fang Zhang, Xuehui Mi, Fei Qian, Ying Hong, Rudan Zou, Wei Bai, Hua He, Likun Wang, Songmei Yin, Jianzhong |
author_facet | Wang, Yanjiao Xu, Fang Zhang, Xuehui Mi, Fei Qian, Ying Hong, Rudan Zou, Wei Bai, Hua He, Likun Wang, Songmei Yin, Jianzhong |
author_sort | Wang, Yanjiao |
collection | PubMed |
description | OBJECTIVES: Several studies have demonstrated the association between gamma-glutamyl transferase (GGT) and hyperuricaemia, but little is known about such relation in less-developed ethnic minority regions. DESIGN: We cross-sectionally analysed data from the China Multi-Ethnic Cohort (Yunnan region). SETTING: Cross-sectional study. PARTICIPANTS: 22 020 participants aged 30–79 years from Han ethnicity, Yi ethnicity and Bai ethnicity. OUTCOMES: The serum level of uric acid, GGT and other metabolic parameters were tested. Weight, height and blood pressure were measured. Smoking, drinking, ethnicity, education and medical history were obtained from questionnaires. RESULTS: In the crude model, compared with the lowest quintile, the second, third, fourth and fifth quintiles of serum GGT exhibited a positive association with hyperuricaemia risk (OR=1.69, 2.90, 4.34 and 7.70, 95% CI=1.42 to 2.01, 2.47 to 3.42, 3.71 to 5.09 and 6.60 to 8.98, respectively, p-trend<0.0001). In fully adjusted model, compared with the lowest quintile, the second, third, fourth and fifth quintiles of serum GGT also exhibited a positive association with hyperuricaemia risk (OR=1.26, 1.68, 2.02 and 3.02, 95% CI=1.04 to 1.51, 1.40 to 2.00, 1.69 to 2.42 and 2.51 to 3.64, respectively, p-trend<0.0001). Logistic regression model was conducted separately in ethnic groups. Compared with first quintile, the highest GGT level were related to higher risk of hyperuricaemia in three ethnic groups (OR (95% CI): 2.89 (2.26 to 3.68), 2.81 (1.93 to 4.11) and 3.04 (1.91 to 4.84) for Han, Yi and Bai ethnicity, respectively, p-trend <0.0001). The relationship between GGT and hyperuricaemia was also observed in different age groups or gender groups. CONCLUSIONS: High serum GGT level was related to a higher risk of hyperuricaemia in less-developed ethnic minority regions in China. |
format | Online Article Text |
id | pubmed-9152940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-91529402022-06-16 Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study Wang, Yanjiao Xu, Fang Zhang, Xuehui Mi, Fei Qian, Ying Hong, Rudan Zou, Wei Bai, Hua He, Likun Wang, Songmei Yin, Jianzhong BMJ Open Epidemiology OBJECTIVES: Several studies have demonstrated the association between gamma-glutamyl transferase (GGT) and hyperuricaemia, but little is known about such relation in less-developed ethnic minority regions. DESIGN: We cross-sectionally analysed data from the China Multi-Ethnic Cohort (Yunnan region). SETTING: Cross-sectional study. PARTICIPANTS: 22 020 participants aged 30–79 years from Han ethnicity, Yi ethnicity and Bai ethnicity. OUTCOMES: The serum level of uric acid, GGT and other metabolic parameters were tested. Weight, height and blood pressure were measured. Smoking, drinking, ethnicity, education and medical history were obtained from questionnaires. RESULTS: In the crude model, compared with the lowest quintile, the second, third, fourth and fifth quintiles of serum GGT exhibited a positive association with hyperuricaemia risk (OR=1.69, 2.90, 4.34 and 7.70, 95% CI=1.42 to 2.01, 2.47 to 3.42, 3.71 to 5.09 and 6.60 to 8.98, respectively, p-trend<0.0001). In fully adjusted model, compared with the lowest quintile, the second, third, fourth and fifth quintiles of serum GGT also exhibited a positive association with hyperuricaemia risk (OR=1.26, 1.68, 2.02 and 3.02, 95% CI=1.04 to 1.51, 1.40 to 2.00, 1.69 to 2.42 and 2.51 to 3.64, respectively, p-trend<0.0001). Logistic regression model was conducted separately in ethnic groups. Compared with first quintile, the highest GGT level were related to higher risk of hyperuricaemia in three ethnic groups (OR (95% CI): 2.89 (2.26 to 3.68), 2.81 (1.93 to 4.11) and 3.04 (1.91 to 4.84) for Han, Yi and Bai ethnicity, respectively, p-trend <0.0001). The relationship between GGT and hyperuricaemia was also observed in different age groups or gender groups. CONCLUSIONS: High serum GGT level was related to a higher risk of hyperuricaemia in less-developed ethnic minority regions in China. BMJ Publishing Group 2022-05-30 /pmc/articles/PMC9152940/ /pubmed/35636797 http://dx.doi.org/10.1136/bmjopen-2021-058793 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Wang, Yanjiao Xu, Fang Zhang, Xuehui Mi, Fei Qian, Ying Hong, Rudan Zou, Wei Bai, Hua He, Likun Wang, Songmei Yin, Jianzhong Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study |
title | Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study |
title_full | Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study |
title_fullStr | Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study |
title_full_unstemmed | Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study |
title_short | Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study |
title_sort | cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the china multi-ethinic cohort (cmec) study |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152940/ https://www.ncbi.nlm.nih.gov/pubmed/35636797 http://dx.doi.org/10.1136/bmjopen-2021-058793 |
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