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Relationship between baseline and changed serum uric acid and the incidence of type 2 diabetes mellitus: a national cohort study

OBJECTIVE: To explore the correlation between baseline serum uric acid (SUA) and SUA changes with the incidence of type 2 diabetes mellitus (T2DM) among middle-aged and older individuals. METHOD: Binary logistic regression was used to calculate the odds ratio (ORs) and 95% confidence intervals (CIs)...

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Autores principales: Wang, Congzhi, Wang, Jiazhi, Wan, Rui, Yuan, Ting, Yang, Liu, Zhang, Dongmei, Li, Xiaoping, Wang, Min, Liu, Haiyang, Lei, Yunxiao, Wei, Huanhuan, Li, Jing, Liu, Mingming, Hua, Ying, Sun, Lu, Zhang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357007/
https://www.ncbi.nlm.nih.gov/pubmed/37483942
http://dx.doi.org/10.3389/fpubh.2023.1170792
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author Wang, Congzhi
Wang, Jiazhi
Wan, Rui
Yuan, Ting
Yang, Liu
Zhang, Dongmei
Li, Xiaoping
Wang, Min
Liu, Haiyang
Lei, Yunxiao
Wei, Huanhuan
Li, Jing
Liu, Mingming
Hua, Ying
Sun, Lu
Zhang, Lin
author_facet Wang, Congzhi
Wang, Jiazhi
Wan, Rui
Yuan, Ting
Yang, Liu
Zhang, Dongmei
Li, Xiaoping
Wang, Min
Liu, Haiyang
Lei, Yunxiao
Wei, Huanhuan
Li, Jing
Liu, Mingming
Hua, Ying
Sun, Lu
Zhang, Lin
author_sort Wang, Congzhi
collection PubMed
description OBJECTIVE: To explore the correlation between baseline serum uric acid (SUA) and SUA changes with the incidence of type 2 diabetes mellitus (T2DM) among middle-aged and older individuals. METHOD: Binary logistic regression was used to calculate the odds ratio (ORs) and 95% confidence intervals (CIs) of the effects of baseline and changes in SUA on the incidence of T2DM. Stratified analysis was conducted based on sex, and the SUA levels were classified into four quartiles to assess the effect of baseline and relative changes in SUA on the incidence of T2DM. Furthermore, interaction analysis was performed between body mass index (BMI) and SUA, age and SUA, and sex and SUA. RESULTS: In the cohort study, the highest quartiles of SUA were significantly correlated with an increased incidence of T2DM among females in model 1 [OR = 2.231 (1.631, 3.050)], model 2 [OR = 2.090 (1.523, 2.867)], model 3 [OR = 2.075 (1.511, 2.849)], and model 4 [OR = 1.707 (1.234, 2.362)]. The highest quartiles of SUA had a statistically significant effect on the incidence of T2DM among all participants in model 1 [OR = 1.601 (1.277, 2.008)], model 2 [OR = 1.519 (1.204, 1.915)], model 3 [OR = 1.597 (1.257, 2.027)], and model 4 [OR = 1.380 (1.083, 1.760)]. Regarding the relative change of SUA, the highest quantiles of SUA were significantly correlated with an increased incidence of T2DM among females in model 1 [OR = 1.409 (1.050, 1.890)], model 2 [OR = 1.433 (1.067, 1.926)], and model 3 [OR = 1.420 (1.056, 1.910)], and there was a statistically significant correlation with incident T2DM among all participants in model 4 [OR = 1.346 (1.079, 1.680)] after adjusting for all covariates. However, there was no significant correlation between baseline, relative, and absolute changes in SUA and the incidence of T2DM among males. The interaction analysis demonstrated that sex, BMI, and the relative changes in SUA had a combined effect on the incidence of T2DM, while age and the changes in SUA had a joint effect on the incidence of T2DM only in females. CONCLUSION: There was a positive association between SUA and the incidence of T2DM for all participants. However, significant sex differences in incidence were observed only in women, not men.
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spelling pubmed-103570072023-07-21 Relationship between baseline and changed serum uric acid and the incidence of type 2 diabetes mellitus: a national cohort study Wang, Congzhi Wang, Jiazhi Wan, Rui Yuan, Ting Yang, Liu Zhang, Dongmei Li, Xiaoping Wang, Min Liu, Haiyang Lei, Yunxiao Wei, Huanhuan Li, Jing Liu, Mingming Hua, Ying Sun, Lu Zhang, Lin Front Public Health Public Health OBJECTIVE: To explore the correlation between baseline serum uric acid (SUA) and SUA changes with the incidence of type 2 diabetes mellitus (T2DM) among middle-aged and older individuals. METHOD: Binary logistic regression was used to calculate the odds ratio (ORs) and 95% confidence intervals (CIs) of the effects of baseline and changes in SUA on the incidence of T2DM. Stratified analysis was conducted based on sex, and the SUA levels were classified into four quartiles to assess the effect of baseline and relative changes in SUA on the incidence of T2DM. Furthermore, interaction analysis was performed between body mass index (BMI) and SUA, age and SUA, and sex and SUA. RESULTS: In the cohort study, the highest quartiles of SUA were significantly correlated with an increased incidence of T2DM among females in model 1 [OR = 2.231 (1.631, 3.050)], model 2 [OR = 2.090 (1.523, 2.867)], model 3 [OR = 2.075 (1.511, 2.849)], and model 4 [OR = 1.707 (1.234, 2.362)]. The highest quartiles of SUA had a statistically significant effect on the incidence of T2DM among all participants in model 1 [OR = 1.601 (1.277, 2.008)], model 2 [OR = 1.519 (1.204, 1.915)], model 3 [OR = 1.597 (1.257, 2.027)], and model 4 [OR = 1.380 (1.083, 1.760)]. Regarding the relative change of SUA, the highest quantiles of SUA were significantly correlated with an increased incidence of T2DM among females in model 1 [OR = 1.409 (1.050, 1.890)], model 2 [OR = 1.433 (1.067, 1.926)], and model 3 [OR = 1.420 (1.056, 1.910)], and there was a statistically significant correlation with incident T2DM among all participants in model 4 [OR = 1.346 (1.079, 1.680)] after adjusting for all covariates. However, there was no significant correlation between baseline, relative, and absolute changes in SUA and the incidence of T2DM among males. The interaction analysis demonstrated that sex, BMI, and the relative changes in SUA had a combined effect on the incidence of T2DM, while age and the changes in SUA had a joint effect on the incidence of T2DM only in females. CONCLUSION: There was a positive association between SUA and the incidence of T2DM for all participants. However, significant sex differences in incidence were observed only in women, not men. Frontiers Media S.A. 2023-07-06 /pmc/articles/PMC10357007/ /pubmed/37483942 http://dx.doi.org/10.3389/fpubh.2023.1170792 Text en Copyright © 2023 Wang, Wang, Wan, Yuan, Yang, Zhang, Li, Wang, Liu, Lei, Wei, Li, Liu, Hua, Sun and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wang, Congzhi
Wang, Jiazhi
Wan, Rui
Yuan, Ting
Yang, Liu
Zhang, Dongmei
Li, Xiaoping
Wang, Min
Liu, Haiyang
Lei, Yunxiao
Wei, Huanhuan
Li, Jing
Liu, Mingming
Hua, Ying
Sun, Lu
Zhang, Lin
Relationship between baseline and changed serum uric acid and the incidence of type 2 diabetes mellitus: a national cohort study
title Relationship between baseline and changed serum uric acid and the incidence of type 2 diabetes mellitus: a national cohort study
title_full Relationship between baseline and changed serum uric acid and the incidence of type 2 diabetes mellitus: a national cohort study
title_fullStr Relationship between baseline and changed serum uric acid and the incidence of type 2 diabetes mellitus: a national cohort study
title_full_unstemmed Relationship between baseline and changed serum uric acid and the incidence of type 2 diabetes mellitus: a national cohort study
title_short Relationship between baseline and changed serum uric acid and the incidence of type 2 diabetes mellitus: a national cohort study
title_sort relationship between baseline and changed serum uric acid and the incidence of type 2 diabetes mellitus: a national cohort study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357007/
https://www.ncbi.nlm.nih.gov/pubmed/37483942
http://dx.doi.org/10.3389/fpubh.2023.1170792
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