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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Editorial Board of Journal of Hainan Medical University
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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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