uric acid has been researched along with Abdominal Obesity in 36 studies
Uric Acid: An oxidation product, via XANTHINE OXIDASE, of oxypurines such as XANTHINE and HYPOXANTHINE. It is the final oxidation product of purine catabolism in humans and primates, whereas in most other mammals URATE OXIDASE further oxidizes it to ALLANTOIN.
uric acid : An oxopurine that is the final oxidation product of purine metabolism.
6-hydroxy-1H-purine-2,8(7H,9H)-dione : A tautomer of uric acid having oxo groups at C-2 and C-8 and a hydroxy group at C-6.
7,9-dihydro-1H-purine-2,6,8(3H)-trione : An oxopurine in which the purine ring is substituted by oxo groups at positions 2, 6, and 8.
| Excerpt | Relevance | Reference |
|---|---|---|
| "To determine the association between sugar-sweetened beverage (SSB) consumption with biomarkers of insulin resistance (IR) and investigate whether/how this relates to obesity and serum uric acid in adolescents." | 9.22 | Fructose-Rich Beverage Intake and Central Adiposity, Uric Acid, and Pediatric Insulin Resistance. ( Chan, TF; Huang, HL; Lee, CH; Lee, CY; Lin, WT; Tsai, S; Wang, TN; Wu, PW; Yang, YC, 2016) |
| "Although the level of uric acid (UA) is higher in males, increased UA level in females was reported to be closely associated with prevalence of metabolic syndrome (Mets) leading to atherosclerotic cardiovascular disease (ASCVD)." | 7.96 | The serum uric acid level in females may be a better indicator of metabolic syndrome and its components than in males in a Japanese population . ( Imatake, K; Matsumoto, N; Matsuo, R; Okumura, Y; Suzuki, Y; Takahashi, A; Tani, S; Yagi, T, 2020) |
| " Patients with metabolic syndrome (MS) have higher values of homocysteine." | 7.88 | Homocysteine is the confounding factor of metabolic syndrome-confirmed by siMS score. ( Colak, E; Dimitrijevic-Sreckovic, V; Gacic, J; Janeski, H; Janeski, N; Mrdovic, I; Soldatovic, I; Srećković, B; Sumarac-Dumanovic, M, 2018) |
| "This study aimed to examine gender differences in the association between serum uric acid (SUA) and the risk of prediabetes in a longitudinal cohort." | 7.88 | Gender Differences in the Association between Serum Uric Acid and Prediabetes: A Six-Year Longitudinal Cohort Study. ( Chen, S; Guo, X; Liu, J; Mu, Y; Tao, L; Zhang, J; Zhao, Z; Zou, D; Zou, X, 2018) |
| "The purpose of the present study was to investigate multiple anthropometric parameters used to evaluate obesity, particularly visceral abdominal fat area, and various metabolic parameters including malondialdehyde (MDA) as an oxidative stress marker." | 7.81 | Urinary Malondialdehyde Is Associated with Visceral Abdominal Obesity in Middle-Aged Men. ( Cho, AR; Cho, YH; Han, J; Hwang, HR; Jeon, JS; Jeong, DW; Kim, YJ; Lee, JG; Lee, SH; Lee, SM; Lee, SY; Park, EJ; Tak, YJ; Yi, YH, 2015) |
| "To evaluate whether uric acid (UA) predicts 4-yr incidence of metabolic syndrome (MetS) in non-diabetic participants of the Strong Heart Study (SHS) cohort." | 7.80 | Serum uric acid does not predict incident metabolic syndrome in a population with high prevalence of obesity. ( de Simone, G; Devereux, RB; Ferrara, LA; Franceschini, N; Howard, BV; Jolly, S; Lee, ET; Umans, JG; Wang, H; Yeh, J, 2014) |
| "To investigate the relationship between serum uric acid (UA) level and abdominal obesity or metabolic syndrome (MS)." | 7.80 | [The correlation between serum uric acid level and abdominal obesity or metabolic syndrome]. ( Dong, X; Li, H; Pan, Q; Yin, X; Yu, D; Zheng, F; Zhou, J, 2014) |
| "Little is known about serum uric acid (SUA) role for hypertension in the Asian countries with low cardiovascular events." | 7.78 | Uric acid concentration as a risk marker for blood pressure progression and incident hypertension: a Chinese cohort study. ( Bai, CH; Chien, KL; Chou, YC; Chu, CH; Hwang, LC; Su, TC; Sun, CA; Tseng, CH; Yang, T; You, SL, 2012) |
| "This study focused on the visceral obesity defined by increased visceral fat area." | 5.72 | The abundance of bifidobacterium in relation to visceral obesity and serum uric acid. ( Gao, H; Gong, H; He, J; Ren, Q, 2022) |
| "In women, abdominal obesity measures were associated with glycated hemoglobin levels (HbA1c), fasting serum glucose, insulin, triglycerides (TG), total cholesterol (Chol), high-density lipoprotein (HDL), and uric acid levels as well as Chol/HDL ratio and homeostatic model assessment of insulin resistance (HOMA-IR) independently of age and BMI." | 5.27 | Sagittal Abdominal Diameter does not Predict Metabolic Traits Better than Waist Circumference-Related Measures of Abdominal Obesity in Obese Subjects. ( Ernst, B; Keppler, R; Schmid, SM; Schultes, B; Thurnheer, M; Wilms, B; Zazai, R, 2018) |
| "To determine the association between sugar-sweetened beverage (SSB) consumption with biomarkers of insulin resistance (IR) and investigate whether/how this relates to obesity and serum uric acid in adolescents." | 5.22 | Fructose-Rich Beverage Intake and Central Adiposity, Uric Acid, and Pediatric Insulin Resistance. ( Chan, TF; Huang, HL; Lee, CH; Lee, CY; Lin, WT; Tsai, S; Wang, TN; Wu, PW; Yang, YC, 2016) |
| "The aim of this study was to examine trends in serum uric acid (SUA) levels over a recent 5-year period according to age, sex, obesity, and abdominal obesity among Korean children and adolescents." | 4.31 | Trends in serum uric acid levels among Korean children and adolescents between 2016 and 2020: a nationwide study. ( Kim, EY; Kwon, YJ; Lee, HW; Lee, JW; Son, NH, 2023) |
| " 113 patients fulfilled the criteria for central obesity with the mean uric acid level of 8." | 4.12 | A Clinical Profile of Patients with Hyperuricemia and the Relationship between Hyperuricemia and Metabolic Syndrome: A Cross-sectional Study at a Tertiary Hospital in the Indian Population. ( Ingawale, S; Raghorte, N; Rajadhyaksha, A; Sarate, N, 2022) |
| " Hyperuricemia was defined as serum uric acid ≥ 7 mg/dL in men and ≥ 6 mg/dL in women." | 4.12 | The elevated visceral adiposity index increases the risk of hyperuricemia in Chinese hypertensive patients: A cross-sectional study. ( Bao, H; Cheng, X; Liu, H; Song, X; Wang, T; Yu, C; Zhou, W; Zhu, J; Zhu, L, 2022) |
| "Although the level of uric acid (UA) is higher in males, increased UA level in females was reported to be closely associated with prevalence of metabolic syndrome (Mets) leading to atherosclerotic cardiovascular disease (ASCVD)." | 3.96 | The serum uric acid level in females may be a better indicator of metabolic syndrome and its components than in males in a Japanese population . ( Imatake, K; Matsumoto, N; Matsuo, R; Okumura, Y; Suzuki, Y; Takahashi, A; Tani, S; Yagi, T, 2020) |
| "This study aimed to examine gender differences in the association between serum uric acid (SUA) and the risk of prediabetes in a longitudinal cohort." | 3.88 | Gender Differences in the Association between Serum Uric Acid and Prediabetes: A Six-Year Longitudinal Cohort Study. ( Chen, S; Guo, X; Liu, J; Mu, Y; Tao, L; Zhang, J; Zhao, Z; Zou, D; Zou, X, 2018) |
| " Patients with metabolic syndrome (MS) have higher values of homocysteine." | 3.88 | Homocysteine is the confounding factor of metabolic syndrome-confirmed by siMS score. ( Colak, E; Dimitrijevic-Sreckovic, V; Gacic, J; Janeski, H; Janeski, N; Mrdovic, I; Soldatovic, I; Srećković, B; Sumarac-Dumanovic, M, 2018) |
| "Although both obesity and abdominal obesity correlated with supersaturation of calcium oxalate, mostly by changes in urine volume and pH in women, none of those indexes showed significant correlation with urine composition in the men population of our study." | 3.85 | Association of Body Mass Index, Waist Circumference, and Waist-Stature Ratio With Urine Composition in Patients With Urolithiasis. ( Basiri, A; Khoshdel, A; Taheri, M; Tavasoli, S, 2017) |
| " Uric acid concentration associated with metabolic health when abdominal obesity was excluded." | 3.85 | Impact of dietary intake, lifestyle and biochemical factors on metabolic health in obese adolescents. ( Aldhoon-Hainerová, I; Hainer, V; Zamrazilová, H, 2017) |
| " Variables included were waist circumference (WC), glucose, high-density lipoprotein (HDL), triglycerides (TGL), blood pressure, insulin resistance (by homeostatic model assessment HOMA-index), acanthosis nigricans (AN), uric acid, serum glutamic oxaloacetic transaminase (GOT) and alanine transaminase, and hepatic sonogram." | 3.83 | Models Predictive of Metabolic Syndrome Components in Obese Pediatric Patients. ( Barrera-de Leon, JC; Colunga Rodríguez, C; Hurtado López, EF; López Beltrán, AL; Ortega-Cortes, R; Tlacuilo-Parra, A; Trujillo, X, 2016) |
| "The purpose of the present study was to investigate multiple anthropometric parameters used to evaluate obesity, particularly visceral abdominal fat area, and various metabolic parameters including malondialdehyde (MDA) as an oxidative stress marker." | 3.81 | Urinary Malondialdehyde Is Associated with Visceral Abdominal Obesity in Middle-Aged Men. ( Cho, AR; Cho, YH; Han, J; Hwang, HR; Jeon, JS; Jeong, DW; Kim, YJ; Lee, JG; Lee, SH; Lee, SM; Lee, SY; Park, EJ; Tak, YJ; Yi, YH, 2015) |
| " With the reduction of serum potassium quartiles, participants were tended to have higher level of triglycerides and uric acid, lower level of high-density lipoprotein cholesterol (HDL-C), larger waist circumference and more severe insulin resistance." | 3.80 | Serum potassium level is associated with metabolic syndrome: a population-based study. ( Bi, Y; Li, M; Liu, J; Lu, J; Ning, G; Su, T; Sun, K; Xu, B; Xu, M, 2014) |
| "To investigate the relationship between serum uric acid (UA) level and abdominal obesity or metabolic syndrome (MS)." | 3.80 | [The correlation between serum uric acid level and abdominal obesity or metabolic syndrome]. ( Dong, X; Li, H; Pan, Q; Yin, X; Yu, D; Zheng, F; Zhou, J, 2014) |
| "To evaluate whether uric acid (UA) predicts 4-yr incidence of metabolic syndrome (MetS) in non-diabetic participants of the Strong Heart Study (SHS) cohort." | 3.80 | Serum uric acid does not predict incident metabolic syndrome in a population with high prevalence of obesity. ( de Simone, G; Devereux, RB; Ferrara, LA; Franceschini, N; Howard, BV; Jolly, S; Lee, ET; Umans, JG; Wang, H; Yeh, J, 2014) |
| "Little is known about serum uric acid (SUA) role for hypertension in the Asian countries with low cardiovascular events." | 3.78 | Uric acid concentration as a risk marker for blood pressure progression and incident hypertension: a Chinese cohort study. ( Bai, CH; Chien, KL; Chou, YC; Chu, CH; Hwang, LC; Su, TC; Sun, CA; Tseng, CH; Yang, T; You, SL, 2012) |
| "to obtain prevalence of insulin resistance among siblings of subjects with type 2 DM and their metabolic abnormality profiles as measured by their BMI, waist circumference (WC), blood pressure, glucose intolerance, concentration of triglyceride, HDL cholesterol, and uric acid." | 3.76 | Insulin resistance profile among siblings of type 2 diabetes mellitus (preliminary study). ( Gumiwang, I; Oemardi, M; Purnamasari, D; Soegondo, S, 2010) |
| "This study focused on the visceral obesity defined by increased visceral fat area." | 1.72 | The abundance of bifidobacterium in relation to visceral obesity and serum uric acid. ( Gao, H; Gong, H; He, J; Ren, Q, 2022) |
| " Kaplan-Meier survival curves showed a clear dose-response relationship between C-index and all-cause mortality." | 1.72 | Conicity-index predicts all-cause mortality in Chinese older people: a 10-year community follow-up. ( Bao, Q; Cai, S; Cheng, B; Dong, J; Li, M; Li, Y; Ma, S; Su, Y; Sun, J; Wang, S; Zhang, A; Zhang, Y; Zhu, P, 2022) |
| "Abdominal obesity is known to significantly increase the risk of metabolic syndrome and cardiovascular disease, so further study is needed to investigate the changes of intestinal microorganisms in patients with excessive visceral fat." | 1.62 | Gut Microbiome Alterations in Patients With Visceral Obesity Based on Quantitative Computed Tomography. ( Chen, J; Ding, S; Gao, X; Li, A; Li, T; Qin, Q; Yan, H; Yan, S; Yang, Y, 2021) |
| "Hyperuricemia were defined as serum uric acid levels ≥7." | 1.56 | Sex-specific association of hyperuricemia with cardiometabolic abnormalities in a military cohort: The CHIEF study. ( Hoshide, S; Kwon, Y; Lee, JT; Lin, CS; Lin, GM; Lin, YK; Lin, YP; Su, FY; Tsai, KZ; Wu, TJ, 2020) |
| "Uric acid nephrolithiasis is associated with an elevated visceral fat area in kidney stone formers." | 1.46 | Computerized Tomography Based Diagnosis of Visceral Obesity and Hepatic Steatosis is Associated with Low Urine pH. ( Calle, J; Monga, M; Patel, ND; Remer, EM; Ward, RD, 2017) |
| " 67% abdominal obesity was found, decreasing at 53% after drinking the established dosage of juice." | 1.43 | Effect of consumption of tree tomato juice (Cyphomandra betacea) on lipid profile and glucose con centrations in adults with hyperlipidemia, Ecuador. ( Barahona, A; Bermeo, B; Chtivez, C; Freire, P; Mndez, J; Ortiz, K; Salas, H; Salazar-Lugo, R; Santamaria, M, 2016) |
| " The high and low dosage of chicory inulin also decreased serum UA levels on days 7, 14, and 28." | 1.40 | Effects of chicory inulin on serum metabolites of uric acid, lipids, glucose, and abdominal fat deposition in quails induced by purine-rich diets. ( Jin, R; Lin, Z; Liu, X; Zhang, B; Zhu, W, 2014) |
| "Hyperuricemia was defined as ≥ 6." | 1.38 | Gender distribution of serum uric acid and cardiovascular risk factors: population based study. ( Baldo, MP; Capingana, P; Dantas, EM; Magalhães, P; Mill, JG; Molina, Mdel C; Morelato, RL; Rodrigues, SL; Salaroli, LB, 2012) |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 24 (66.67) | 24.3611 |
| 2020's | 12 (33.33) | 2.80 |
| Authors | Studies |
|---|---|
| Yan, H | 1 |
| Qin, Q | 1 |
| Chen, J | 1 |
| Yan, S | 1 |
| Li, T | 1 |
| Gao, X | 1 |
| Yang, Y | 1 |
| Li, A | 1 |
| Ding, S | 1 |
| Kahaer, M | 1 |
| Zhang, B | 2 |
| Chen, W | 1 |
| Liang, M | 1 |
| He, Y | 1 |
| Chen, M | 1 |
| Li, R | 1 |
| Tian, T | 1 |
| Hu, C | 1 |
| Sun, Y | 2 |
| Rajadhyaksha, A | 1 |
| Sarate, N | 1 |
| Raghorte, N | 1 |
| Ingawale, S | 1 |
| Gong, H | 1 |
| Gao, H | 1 |
| Ren, Q | 1 |
| He, J | 1 |
| Zhang, A | 2 |
| Li, Y | 2 |
| Ma, S | 2 |
| Bao, Q | 2 |
| Sun, J | 2 |
| Cai, S | 2 |
| Li, M | 3 |
| Su, Y | 2 |
| Cheng, B | 2 |
| Dong, J | 2 |
| Zhang, Y | 2 |
| Wang, S | 2 |
| Zhu, P | 2 |
| Maloberti, A | 1 |
| Vanoli, J | 1 |
| Finotto, A | 1 |
| Bombelli, M | 1 |
| Facchetti, R | 1 |
| Redon, P | 1 |
| Mancia, G | 1 |
| Grassi, G | 1 |
| Liu, H | 1 |
| Song, X | 1 |
| Zhu, J | 1 |
| Zhou, W | 1 |
| Wang, T | 1 |
| Yu, C | 1 |
| Zhu, L | 1 |
| Cheng, X | 1 |
| Bao, H | 1 |
| Kim, EY | 1 |
| Lee, HW | 1 |
| Lee, JW | 1 |
| Kwon, YJ | 1 |
| Son, NH | 1 |
| Tani, S | 1 |
| Matsuo, R | 1 |
| Imatake, K | 1 |
| Suzuki, Y | 1 |
| Takahashi, A | 1 |
| Yagi, T | 1 |
| Matsumoto, N | 1 |
| Okumura, Y | 1 |
| Lin, YK | 1 |
| Lin, YP | 1 |
| Lee, JT | 1 |
| Lin, CS | 1 |
| Wu, TJ | 1 |
| Tsai, KZ | 1 |
| Su, FY | 1 |
| Kwon, Y | 1 |
| Hoshide, S | 1 |
| Lin, GM | 1 |
| Liu, XZ | 1 |
| Chen, DS | 1 |
| Xu, X | 1 |
| Li, HH | 1 |
| Liu, LY | 1 |
| Zhou, L | 1 |
| Fan, J | 1 |
| Ma, Z | 1 |
| Zhang, J | 2 |
| Kang, X | 1 |
| Xu, C | 2 |
| Sun, C | 1 |
| Tao, L | 2 |
| Zheng, D | 1 |
| Han, Y | 1 |
| Li, Q | 1 |
| Guo, X | 3 |
| Yang, X | 1 |
| Patel, ND | 1 |
| Ward, RD | 1 |
| Calle, J | 1 |
| Remer, EM | 1 |
| Monga, M | 1 |
| Aldhoon-Hainerová, I | 1 |
| Hainer, V | 1 |
| Zamrazilová, H | 1 |
| Tavasoli, S | 1 |
| Taheri, M | 1 |
| Khoshdel, A | 1 |
| Basiri, A | 1 |
| Zazai, R | 1 |
| Wilms, B | 1 |
| Ernst, B | 1 |
| Keppler, R | 1 |
| Thurnheer, M | 1 |
| Schmid, SM | 1 |
| Schultes, B | 1 |
| Srećković, B | 1 |
| Soldatovic, I | 1 |
| Colak, E | 1 |
| Mrdovic, I | 1 |
| Sumarac-Dumanovic, M | 1 |
| Janeski, H | 1 |
| Janeski, N | 1 |
| Gacic, J | 1 |
| Dimitrijevic-Sreckovic, V | 1 |
| Salazar-Lugo, R | 1 |
| Barahona, A | 1 |
| Ortiz, K | 1 |
| Chtivez, C | 1 |
| Freire, P | 1 |
| Mndez, J | 1 |
| Bermeo, B | 1 |
| Santamaria, M | 1 |
| Salas, H | 1 |
| Liu, J | 2 |
| Zhao, Z | 1 |
| Mu, Y | 1 |
| Zou, X | 1 |
| Zou, D | 1 |
| Chen, S | 2 |
| Dias, RSC | 1 |
| Calado, IL | 1 |
| Alencar, JD | 1 |
| Hortegal, EV | 1 |
| Santos, EJF | 1 |
| Brito, DJA | 1 |
| Lages, JS | 1 |
| Santos, AMD | 1 |
| Salgado Filho, N | 1 |
| Serrano, N | 1 |
| Ojeda, CA | 1 |
| Gamboa Delgado, E | 1 |
| Colmenares Mejia, CC | 1 |
| Quintero Lesmes, DC | 1 |
| Sun, K | 1 |
| Su, T | 1 |
| Xu, B | 1 |
| Xu, M | 1 |
| Lu, J | 1 |
| Bi, Y | 1 |
| Ning, G | 1 |
| Yin, X | 1 |
| Zhou, J | 1 |
| Yu, D | 1 |
| Pan, Q | 1 |
| Dong, X | 1 |
| Zheng, F | 1 |
| Li, H | 1 |
| Ferrara, LA | 1 |
| Wang, H | 1 |
| Umans, JG | 1 |
| Franceschini, N | 1 |
| Jolly, S | 1 |
| Lee, ET | 1 |
| Yeh, J | 1 |
| Devereux, RB | 1 |
| Howard, BV | 1 |
| de Simone, G | 1 |
| Lin, Z | 1 |
| Liu, X | 1 |
| Jin, R | 1 |
| Zhu, W | 1 |
| Zhang, X | 1 |
| Yu, S | 1 |
| Yang, H | 1 |
| Jiang, M | 1 |
| Sun, G | 1 |
| Lee, SM | 1 |
| Cho, YH | 1 |
| Lee, SY | 1 |
| Jeong, DW | 1 |
| Cho, AR | 1 |
| Jeon, JS | 1 |
| Park, EJ | 1 |
| Kim, YJ | 1 |
| Lee, JG | 1 |
| Yi, YH | 1 |
| Tak, YJ | 1 |
| Hwang, HR | 1 |
| Lee, SH | 1 |
| Han, J | 1 |
| Lin, WT | 1 |
| Chan, TF | 1 |
| Huang, HL | 1 |
| Lee, CY | 1 |
| Tsai, S | 1 |
| Wu, PW | 1 |
| Yang, YC | 1 |
| Wang, TN | 1 |
| Lee, CH | 1 |
| Ortega-Cortes, R | 1 |
| Trujillo, X | 1 |
| Hurtado López, EF | 1 |
| López Beltrán, AL | 1 |
| Colunga Rodríguez, C | 1 |
| Barrera-de Leon, JC | 1 |
| Tlacuilo-Parra, A | 1 |
| Li, YY | 1 |
| Yu, Y | 1 |
| Wang, F | 1 |
| Zhang, HQ | 1 |
| Zhao, M | 1 |
| Liu, L | 1 |
| Gao, L | 1 |
| Zhao, JJ | 1 |
| Palmer, IM | 1 |
| Schutte, AE | 1 |
| Huisman, HW | 1 |
| Yamaoka-Tojo, M | 1 |
| Tojo, T | 1 |
| Takahira, N | 1 |
| Matsunaga, A | 1 |
| Aoyama, N | 1 |
| Masuda, T | 1 |
| Izumi, T | 1 |
| Purnamasari, D | 1 |
| Soegondo, S | 1 |
| Oemardi, M | 1 |
| Gumiwang, I | 1 |
| Rodrigues, SL | 1 |
| Baldo, MP | 1 |
| Capingana, P | 1 |
| Magalhães, P | 1 |
| Dantas, EM | 1 |
| Molina, Mdel C | 1 |
| Salaroli, LB | 1 |
| Morelato, RL | 1 |
| Mill, JG | 1 |
| Kawada, T | 1 |
| Yang, T | 1 |
| Chu, CH | 1 |
| Bai, CH | 1 |
| You, SL | 1 |
| Chou, YC | 1 |
| Hwang, LC | 1 |
| Chien, KL | 1 |
| Su, TC | 1 |
| Tseng, CH | 1 |
| Sun, CA | 1 |
2 trials available for uric acid and Abdominal Obesity
| Article | Year |
|---|---|
Sagittal Abdominal Diameter does not Predict Metabolic Traits Better than Waist Circumference-Related Measures of Abdominal Obesity in Obese Subjects.
Topics: Abdomen; Adolescent; Adult; Aged; Body Mass Index; Female; Glycated Hemoglobin; Humans; Insulin; Ins | 2018 |
Fructose-Rich Beverage Intake and Central Adiposity, Uric Acid, and Pediatric Insulin Resistance.
Topics: Adolescent; Anthropometry; Beverages; Biomarkers; Child; Cross-Sectional Studies; Feeding Behavior; | 2016 |
34 other studies available for uric acid and Abdominal Obesity
| Article | Year |
|---|---|
Gut Microbiome Alterations in Patients With Visceral Obesity Based on Quantitative Computed Tomography.
Topics: Gastrointestinal Microbiome; Humans; Obesity, Abdominal; Risk Factors; Tomography, X-Ray Computed; U | 2021 |
Triglyceride Glucose Index Is More Closely Related to Hyperuricemia Than Obesity Indices in the Medical Checkup Population in Xinjiang, China.
Topics: China; Female; Glucose; Humans; Hyperuricemia; Insulin Resistance; Male; Obesity; Obesity, Abdominal | 2022 |
A Clinical Profile of Patients with Hyperuricemia and the Relationship between Hyperuricemia and Metabolic Syndrome: A Cross-sectional Study at a Tertiary Hospital in the Indian Population.
Topics: Cardiovascular Diseases; Cross-Sectional Studies; Female; Humans; Hypertriglyceridemia; Hyperuricemi | 2022 |
The abundance of bifidobacterium in relation to visceral obesity and serum uric acid.
Topics: Bifidobacterium; Humans; Intra-Abdominal Fat; Obesity; Obesity, Abdominal; Subcutaneous Fat; Uric Ac | 2022 |
Conicity-index predicts all-cause mortality in Chinese older people: a 10-year community follow-up.
Topics: Aged; Blood Glucose; Blood Pressure; Body Mass Index; East Asian People; Female; Follow-Up Studies; | 2022 |
Conicity-index predicts all-cause mortality in Chinese older people: a 10-year community follow-up.
Topics: Aged; Blood Glucose; Blood Pressure; Body Mass Index; East Asian People; Female; Follow-Up Studies; | 2022 |
Conicity-index predicts all-cause mortality in Chinese older people: a 10-year community follow-up.
Topics: Aged; Blood Glucose; Blood Pressure; Body Mass Index; East Asian People; Female; Follow-Up Studies; | 2022 |
Conicity-index predicts all-cause mortality in Chinese older people: a 10-year community follow-up.
Topics: Aged; Blood Glucose; Blood Pressure; Body Mass Index; East Asian People; Female; Follow-Up Studies; | 2022 |
Uric acid relationships with lipid profile and adiposity indices: Impact of different hyperuricemic thresholds.
Topics: Adiposity; Body Mass Index; Humans; Hypertension; Hyperuricemia; Obesity; Obesity, Abdominal; Trigly | 2023 |
The elevated visceral adiposity index increases the risk of hyperuricemia in Chinese hypertensive patients: A cross-sectional study.
Topics: Adiposity; Cross-Sectional Studies; East Asian People; Female; Humans; Hypertension; Hyperuricemia; | 2022 |
Trends in serum uric acid levels among Korean children and adolescents between 2016 and 2020: a nationwide study.
Topics: Adolescent; Body Mass Index; Child; Cross-Sectional Studies; Diabetes Mellitus, Type 2; Female; Huma | 2023 |
The serum uric acid level in females may be a better indicator of metabolic syndrome and its components than in males in a Japanese population .
Topics: Adult; Asian People; Female; Humans; Male; Metabolic Syndrome; Middle Aged; Obesity, Abdominal; Sex | 2020 |
Sex-specific association of hyperuricemia with cardiometabolic abnormalities in a military cohort: The CHIEF study.
Topics: Adolescent; Adult; Cross-Sectional Studies; Female; Humans; Hypertension; Hypertriglyceridemia; Hype | 2020 |
Longitudinal associations between metabolic score for visceral fat and hyperuricemia in non-obese adults.
Topics: Adiposity; Adult; Biomarkers; China; Energy Metabolism; Female; Humans; Hyperuricemia; Incidence; In | 2020 |
Hyperuricemia precedes non-alcoholic fatty liver disease with abdominal obesity moderating this unidirectional relationship: Three longitudinal analyses.
Topics: Beijing; Humans; Hyperuricemia; Non-alcoholic Fatty Liver Disease; Obesity, Abdominal; Uric Acid | 2020 |
Computerized Tomography Based Diagnosis of Visceral Obesity and Hepatic Steatosis is Associated with Low Urine pH.
Topics: Adult; Aged; Fatty Liver; Female; Humans; Hydrogen-Ion Concentration; Intra-Abdominal Fat; Kidney Ca | 2017 |
Impact of dietary intake, lifestyle and biochemical factors on metabolic health in obese adolescents.
Topics: Adolescent; Alanine Transaminase; Biomarkers; C-Reactive Protein; Czech Republic; Diet; Diet, Health | 2017 |
Association of Body Mass Index, Waist Circumference, and Waist-Stature Ratio With Urine Composition in Patients With Urolithiasis.
Topics: Adult; Body Mass Index; Calcium Oxalate; Calcium Phosphates; Cross-Sectional Studies; Female; Humans | 2017 |
Homocysteine is the confounding factor of metabolic syndrome-confirmed by siMS score.
Topics: Adult; Age Factors; Aged; Biomarkers; Blood Glucose; C-Reactive Protein; Confounding Factors, Epidem | 2018 |
Effect of consumption of tree tomato juice (Cyphomandra betacea) on lipid profile and glucose con centrations in adults with hyperlipidemia, Ecuador.
Topics: Adult; Alanine Transaminase; Analysis of Variance; Aspartate Aminotransferases; Blood Glucose; Body | 2016 |
Gender Differences in the Association between Serum Uric Acid and Prediabetes: A Six-Year Longitudinal Cohort Study.
Topics: Adult; Asian People; Beijing; Female; Humans; Hypertension; Longitudinal Studies; Male; Middle Aged; | 2018 |
Abdominal obesity and reduction of glomerular filtration.
Topics: Adult; Analysis of Variance; Anthropometry; Black People; Brazil; Cholesterol; Creatinine; Cross-Sec | 2018 |
[Uric acid and its association with the components of the metabolic syndrome in Colombian adolescents].
Topics: Adolescent; Age Factors; Body Mass Index; Colombia; Cross-Sectional Studies; Female; Humans; Male; M | 2019 |
Serum potassium level is associated with metabolic syndrome: a population-based study.
Topics: Aged; Asian People; Blood Glucose; Body Mass Index; China; Cholesterol, HDL; Cholesterol, LDL; Cross | 2014 |
[The correlation between serum uric acid level and abdominal obesity or metabolic syndrome].
Topics: Adult; Aged; Female; Humans; Male; Metabolic Syndrome; Middle Aged; Obesity, Abdominal; Risk Factors | 2014 |
Serum uric acid does not predict incident metabolic syndrome in a population with high prevalence of obesity.
Topics: Aged; Body Composition; Body Mass Index; Cohort Studies; Female; Humans; Hypertension; Indians, Nort | 2014 |
Effects of chicory inulin on serum metabolites of uric acid, lipids, glucose, and abdominal fat deposition in quails induced by purine-rich diets.
Topics: Abdominal Fat; Acetyl-CoA Carboxylase; Animals; Blood Glucose; Cichorium intybus; Diet; Disease Mode | 2014 |
Association between elevated serum alanine aminotransferase and cardiometabolic risk factors in rural Chinese population: a cross-sectional study.
Topics: Adult; Age Factors; Aged; Alanine Transaminase; Blood Pressure; Body Mass Index; Cardiovascular Dise | 2015 |
Urinary Malondialdehyde Is Associated with Visceral Abdominal Obesity in Middle-Aged Men.
Topics: Adult; Anthropometry; Biomarkers; Body Mass Index; C-Reactive Protein; Cross-Sectional Studies; gamm | 2015 |
Models Predictive of Metabolic Syndrome Components in Obese Pediatric Patients.
Topics: Adolescent; Blood Glucose; Blood Pressure; Cardiovascular Diseases; Child; Cross-Sectional Studies; | 2016 |
[Investigation of metabolic disorders in patients with familial fatty liver disease and their first-degree relatives].
Topics: Blood Glucose; Body Mass Index; China; Family; Fatty Liver; Humans; Hyperglycemia; Metabolic Syndrom | 2016 |
Uric acid and the cardiovascular profile of African and Caucasian men.
Topics: Adult; Biomarkers; Black People; Blood Pressure; Cardiovascular Diseases; Cross-Sectional Studies; H | 2010 |
Elevated circulating levels of an incretin hormone, glucagon-like peptide-1, are associated with metabolic components in high-risk patients with cardiovascular disease.
Topics: Adult; Aged; Biomarkers; Blood Glucose; Cardiovascular Diseases; Chi-Square Distribution; Cholestero | 2010 |
Insulin resistance profile among siblings of type 2 diabetes mellitus (preliminary study).
Topics: Adult; Aged; Body Mass Index; Cholesterol, HDL; Cross-Sectional Studies; Diabetes Mellitus, Type 2; | 2010 |
Gender distribution of serum uric acid and cardiovascular risk factors: population based study.
Topics: Adult; Biomarkers; Body Mass Index; Brazil; Epidemiologic Methods; Female; Humans; Hypertension; Hyp | 2012 |
Predictors of the development of metabolic syndrome in male workers: a 3-year follow-up study.
Topics: Adult; Age Factors; Alcohol Drinking; Cholesterol, HDL; Confidence Intervals; Exercise; Follow-Up St | 2012 |
Uric acid concentration as a risk marker for blood pressure progression and incident hypertension: a Chinese cohort study.
Topics: Adult; Asian People; Biomarkers; Blood Pressure; Cohort Studies; Disease Progression; Female; Humans | 2012 |