Risk factors for primary gout and hyperuricemia

Objective: Through epidemiological investigation, to investigate the etiology and influencing factors of primary gout and hyperuricemia (HUA). Methods: Using case-control methods, designed questionnaires on gout and/or HUA related factors (living habits, eating habits and environmental factors, e...

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Main Authors: Xiang-Lin Yin, Bao-Sheng Guan, Hong-Bin Qiu
Format: Article
Language:English
Published: Editorial Board of Journal of Hainan Medical University 2020-10-01
Series:Journal of Hainan Medical University
Subjects:
Online Access:http://www.hnykdxxb.com/PDF/202019/07.pdf
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spelling doaj-0c199be3677948189ff4f6ae333058e72020-11-25T04:07:48ZengEditorial Board of Journal of Hainan Medical UniversityJournal of Hainan Medical University1007-12371007-12372020-10-0126193641Risk factors for primary gout and hyperuricemiaXiang-Lin Yin0Bao-Sheng Guan1Hong-Bin Qiu2School of Public Health, Jiamusi University, Jiamusi 154007, ChinaSchool of Public Health, Jiamusi University, Jiamusi 154007, ChinaSchool of Public Health, Jiamusi University, Jiamusi 154007, ChinaObjective: Through epidemiological investigation, to investigate the etiology and influencing factors of primary gout and hyperuricemia (HUA). Methods: Using case-control methods, designed questionnaires on gout and/or HUA related factors (living habits, eating habits and environmental factors, etc). Logistic regression analysis of the survey results was performed with SPSS 19.0 software. Results: (1)Univariate Logistic regression analysis: 11 risk factors with statistical significance (P<0.05), often eat sauce food, often eat Fried food, often eat asparagus, often eat nuts, often drink, smoking, drink water <1000ml per day, residential temperature 曑17曟 in winter, work environment average temperature 曑≤17°曟 in winter, often exposure to toxic and harmful substances, often use induction cooker or microwave oven (P<0.05), the OR values were 2.063, 1.701, 3.242, 1.560, 2.055, 1.338, 5.700, 5.330, 2.305, 2.821, 1.701; 3 protective factors, occasionally eat fresh fruit, wake up between 5 and 7 am, use the computer less than 1 hour per day (P<0.05), OR values were 0.723, 0.611 and 0.558, respectively. (2)Multivariate Logistic regression analysis was performed for all factors: 6 risk factors, The risk factors were often drink, drink water <1000ml per day, residential temperature曑17 曟 in winter, work environment average temperature 曑≤17曟 in winter, use mobile network cellphones and use unicom network cellphones (P<0.05), OR values are 2.008, 4.240, 4.034, 1.889, 2.207 and 1.891, respectively; 2 protective factors: occasionally eat agaric and use the computer less than 1 hour per day (P<0.05), OR values were 0.551 and 0.536, respectively. Conclusions: Proper improvement of diet structure, adjustment of life and behavior, and avoidance of environmental risk factors can effectively reduce uric acid level, control the incidence of HUA and gout, and improve health level.http://www.hnykdxxb.com/PDF/202019/07.pdfgouthyperuricemiauric acidrisk factorsepidemiological survey
collection DOAJ
language English
format Article
sources DOAJ
author Xiang-Lin Yin
Bao-Sheng Guan
Hong-Bin Qiu
spellingShingle Xiang-Lin Yin
Bao-Sheng Guan
Hong-Bin Qiu
Risk factors for primary gout and hyperuricemia
Journal of Hainan Medical University
gout
hyperuricemia
uric acid
risk factors
epidemiological survey
author_facet Xiang-Lin Yin
Bao-Sheng Guan
Hong-Bin Qiu
author_sort Xiang-Lin Yin
title Risk factors for primary gout and hyperuricemia
title_short Risk factors for primary gout and hyperuricemia
title_full Risk factors for primary gout and hyperuricemia
title_fullStr Risk factors for primary gout and hyperuricemia
title_full_unstemmed Risk factors for primary gout and hyperuricemia
title_sort risk factors for primary gout and hyperuricemia
publisher Editorial Board of Journal of Hainan Medical University
series Journal of Hainan Medical University
issn 1007-1237
1007-1237
publishDate 2020-10-01
description Objective: Through epidemiological investigation, to investigate the etiology and influencing factors of primary gout and hyperuricemia (HUA). Methods: Using case-control methods, designed questionnaires on gout and/or HUA related factors (living habits, eating habits and environmental factors, etc). Logistic regression analysis of the survey results was performed with SPSS 19.0 software. Results: (1)Univariate Logistic regression analysis: 11 risk factors with statistical significance (P<0.05), often eat sauce food, often eat Fried food, often eat asparagus, often eat nuts, often drink, smoking, drink water <1000ml per day, residential temperature 曑17曟 in winter, work environment average temperature 曑≤17°曟 in winter, often exposure to toxic and harmful substances, often use induction cooker or microwave oven (P<0.05), the OR values were 2.063, 1.701, 3.242, 1.560, 2.055, 1.338, 5.700, 5.330, 2.305, 2.821, 1.701; 3 protective factors, occasionally eat fresh fruit, wake up between 5 and 7 am, use the computer less than 1 hour per day (P<0.05), OR values were 0.723, 0.611 and 0.558, respectively. (2)Multivariate Logistic regression analysis was performed for all factors: 6 risk factors, The risk factors were often drink, drink water <1000ml per day, residential temperature曑17 曟 in winter, work environment average temperature 曑≤17曟 in winter, use mobile network cellphones and use unicom network cellphones (P<0.05), OR values are 2.008, 4.240, 4.034, 1.889, 2.207 and 1.891, respectively; 2 protective factors: occasionally eat agaric and use the computer less than 1 hour per day (P<0.05), OR values were 0.551 and 0.536, respectively. Conclusions: Proper improvement of diet structure, adjustment of life and behavior, and avoidance of environmental risk factors can effectively reduce uric acid level, control the incidence of HUA and gout, and improve health level.
topic gout
hyperuricemia
uric acid
risk factors
epidemiological survey
url http://www.hnykdxxb.com/PDF/202019/07.pdf
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