Prevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional study
Abstract Hyperuricemia (HUA) endangers human health, and its prevalence has increased rapidly in recent decades. The current study investigated HUA's prevalence and influencing factors in Gongcheng, southern China. A cross-sectional investigation was conducted; 2128 participants aged 30–93 year...
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Nature Portfolio
2023-06-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-37274-y |
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author | Xiao Lyu Yuanxiao Du Guoyu Liu Tingyu Mai You Li Zhiyong Zhang Chunhua Bei |
author_facet | Xiao Lyu Yuanxiao Du Guoyu Liu Tingyu Mai You Li Zhiyong Zhang Chunhua Bei |
author_sort | Xiao Lyu |
collection | DOAJ |
description | Abstract Hyperuricemia (HUA) endangers human health, and its prevalence has increased rapidly in recent decades. The current study investigated HUA's prevalence and influencing factors in Gongcheng, southern China. A cross-sectional investigation was conducted; 2128 participants aged 30–93 years were included from 2018 to 2019. Univariate and multivariate logistic regression models were used to screen HUA variables. A Bayesian network model was constructed using the PC algorithm to evaluate the association between influencing factors and HUA. The prevalence of HUA was 15.6% (23.2% in men, 10.7% in women). After screening the variables using a logistic regression analysis model, fatty liver disease (FLD), dyslipidemia, abdominal obesity, creatinine (CREA), somatotype, bone mass, drinking, and physical activity level at work were included in the Bayesian network model. The model results showed that dyslipidemia, somatotype, CREA, and drinking were directly related to HUA. Bone mass and FLD were indirectly associated with HUA by affecting the somatotype. The prevalence of HUA in Gongcheng was high in China. The prevalence of HUA was related to somatotype, drinking, bone mass, physical activity level at work, and other metabolic diseases. A good diet and moderate exercise are recommended to maintain a healthy somatotype and reduce the prevalence rate of HUA. |
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language | English |
last_indexed | 2024-03-13T03:23:08Z |
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spelling | doaj.art-5cc213dab07b47d2bbb1af0965ba92dc2023-06-25T11:13:58ZengNature PortfolioScientific Reports2045-23222023-06-0113111210.1038/s41598-023-37274-yPrevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional studyXiao Lyu0Yuanxiao Du1Guoyu Liu2Tingyu Mai3You Li4Zhiyong Zhang5Chunhua Bei6Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical UniversityDepartment of Epidemiology and Health Statistics, School of Public Health, Guilin Medical UniversityDepartment of Epidemiology and Health Statistics, School of Public Health, Guilin Medical UniversityDepartment of Environmental and Occupational Health, School of Public Health, Guilin Medical UniversityDepartment of Environmental and Occupational Health, School of Public Health, Guilin Medical UniversityDepartment of Environmental and Occupational Health, School of Public Health, Guilin Medical UniversityDepartment of Epidemiology and Health Statistics, School of Public Health, Guilin Medical UniversityAbstract Hyperuricemia (HUA) endangers human health, and its prevalence has increased rapidly in recent decades. The current study investigated HUA's prevalence and influencing factors in Gongcheng, southern China. A cross-sectional investigation was conducted; 2128 participants aged 30–93 years were included from 2018 to 2019. Univariate and multivariate logistic regression models were used to screen HUA variables. A Bayesian network model was constructed using the PC algorithm to evaluate the association between influencing factors and HUA. The prevalence of HUA was 15.6% (23.2% in men, 10.7% in women). After screening the variables using a logistic regression analysis model, fatty liver disease (FLD), dyslipidemia, abdominal obesity, creatinine (CREA), somatotype, bone mass, drinking, and physical activity level at work were included in the Bayesian network model. The model results showed that dyslipidemia, somatotype, CREA, and drinking were directly related to HUA. Bone mass and FLD were indirectly associated with HUA by affecting the somatotype. The prevalence of HUA in Gongcheng was high in China. The prevalence of HUA was related to somatotype, drinking, bone mass, physical activity level at work, and other metabolic diseases. A good diet and moderate exercise are recommended to maintain a healthy somatotype and reduce the prevalence rate of HUA.https://doi.org/10.1038/s41598-023-37274-y |
spellingShingle | Xiao Lyu Yuanxiao Du Guoyu Liu Tingyu Mai You Li Zhiyong Zhang Chunhua Bei Prevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional study Scientific Reports |
title | Prevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional study |
title_full | Prevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional study |
title_fullStr | Prevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional study |
title_full_unstemmed | Prevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional study |
title_short | Prevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional study |
title_sort | prevalence and influencing factors of hyperuricemia in middle aged and older adults in the yao minority area of china a cross sectional study |
url | https://doi.org/10.1038/s41598-023-37274-y |
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