Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020
Background. Serum uric acid (SUA) and glycosylated hemoglobin (HbA1c) were closely related to the body’s metabolism. This study aimed to investigate the relationship between HbA1c and SUA in adults. Methods. This study selected 7293 participants aged ≥20 from 2011 to 2020 in the National Health and...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | International Journal of Endocrinology |
| Online Access: | http://dx.doi.org/10.1155/2024/5341646 |
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| author | Huan Li Mingliang Sun Chengcheng Huang Jingwu Wang Yanqin Huang |
| author_facet | Huan Li Mingliang Sun Chengcheng Huang Jingwu Wang Yanqin Huang |
| author_sort | Huan Li |
| collection | DOAJ |
| description | Background. Serum uric acid (SUA) and glycosylated hemoglobin (HbA1c) were closely related to the body’s metabolism. This study aimed to investigate the relationship between HbA1c and SUA in adults. Methods. This study selected 7293 participants aged ≥20 from 2011 to 2020 in the National Health and Nutrition Examination Survey (NHANES). The multivariate linear regression model was used to test the association between HbA1c and SUA. Subgroup analysis was performed according to age, gender, race, and body mass index (BMI). This study solved the relationship between HbA1c and SUA by fitting a smooth curve. Finally, the inflection point in the nonlinear relationship was calculated by the recursive algorithm, and the relationship between HbA1c and SUA on both sides of the inflection point was analyzed by the two-segment piecewise linear regression model. Results. All 7293 participants found a negative correlation between HbA1c and SUA by completely adjusting the model (β = −7.93 and 95% CI: −9.49–−6.37). In addition, when this study was stratified by gender, age, race, and BMI status, this negative correlation was still statistically significant. In the subgroup analysis, we found that the relationship between the two had different results due to gender differences. In men, HbA1c had a significant negative correlation with SUA. However, in women, the HbA1c value was positively correlated with SUA before 6.8%, and the HbA1c value was negatively correlated with SUA after 6.8%, which indicates that the relationship between HbA1c and SUA in women has changed in prediabetes and diabetes. Conclusion. This study shows that HbA1c is positively correlated with SUA in American adults before 7%. There is a negative correlation after the HbA1c value of 7%. |
| format | Article |
| id | doaj-art-8f7435ec9aaa4e93b5ee17c9cd2d2e56 |
| institution | Kabale University |
| issn | 1687-8345 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Endocrinology |
| spelling | doaj-art-8f7435ec9aaa4e93b5ee17c9cd2d2e562025-08-20T03:36:59ZengWileyInternational Journal of Endocrinology1687-83452024-01-01202410.1155/2024/5341646Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020Huan Li0Mingliang Sun1Chengcheng Huang2Jingwu Wang3Yanqin Huang4First Clinical Medical CollegeDepartment of EndocrinologyDepartment of EndocrinologyDepartment of EndocrinologyDepartment of EndocrinologyBackground. Serum uric acid (SUA) and glycosylated hemoglobin (HbA1c) were closely related to the body’s metabolism. This study aimed to investigate the relationship between HbA1c and SUA in adults. Methods. This study selected 7293 participants aged ≥20 from 2011 to 2020 in the National Health and Nutrition Examination Survey (NHANES). The multivariate linear regression model was used to test the association between HbA1c and SUA. Subgroup analysis was performed according to age, gender, race, and body mass index (BMI). This study solved the relationship between HbA1c and SUA by fitting a smooth curve. Finally, the inflection point in the nonlinear relationship was calculated by the recursive algorithm, and the relationship between HbA1c and SUA on both sides of the inflection point was analyzed by the two-segment piecewise linear regression model. Results. All 7293 participants found a negative correlation between HbA1c and SUA by completely adjusting the model (β = −7.93 and 95% CI: −9.49–−6.37). In addition, when this study was stratified by gender, age, race, and BMI status, this negative correlation was still statistically significant. In the subgroup analysis, we found that the relationship between the two had different results due to gender differences. In men, HbA1c had a significant negative correlation with SUA. However, in women, the HbA1c value was positively correlated with SUA before 6.8%, and the HbA1c value was negatively correlated with SUA after 6.8%, which indicates that the relationship between HbA1c and SUA in women has changed in prediabetes and diabetes. Conclusion. This study shows that HbA1c is positively correlated with SUA in American adults before 7%. There is a negative correlation after the HbA1c value of 7%.http://dx.doi.org/10.1155/2024/5341646 |
| spellingShingle | Huan Li Mingliang Sun Chengcheng Huang Jingwu Wang Yanqin Huang Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020 International Journal of Endocrinology |
| title | Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020 |
| title_full | Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020 |
| title_fullStr | Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020 |
| title_full_unstemmed | Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020 |
| title_short | Association between Glycosylated Hemoglobin and Serum Uric Acid: A US NHANES 2011–2020 |
| title_sort | association between glycosylated hemoglobin and serum uric acid a us nhanes 2011 2020 |
| url | http://dx.doi.org/10.1155/2024/5341646 |
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