| Literature DB >> 28245834 |
Yi Zhang1, Yang Cui2, Xuan-An Li1, Liang-Jun Li1, Xi Xie1, Yu-Zhao Huang1, Yu-Hao Deng1, Chao Zeng1, Guang-Hua Lei3.
Abstract
BACKGROUND: The aim of this study was to examine the associations of tea consumption with the serum uric acid (SUA) level, hyperuricemia (HU) and the risk of gout.Entities:
Keywords: Gout; Hyperuricemia; Meta-analysis; Serum uric acid; Systematic review; Tea
Mesh:
Substances:
Year: 2017 PMID: 28245834 PMCID: PMC5331744 DOI: 10.1186/s12891-017-1456-x
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.362
Fig. 1Flow chart for the identification of the included studies
Characteristics of the individual studies included in this systematic review and meta-analysis
| First author year of publication | Location | Age years | Male (%) | Sample Size | Study design | Exposure definition | Original SUA value (umol/L), OR for HU or RR for gout (95%CI) | Type of tea | Adjustments | Outcome |
|---|---|---|---|---|---|---|---|---|---|---|
| David Curb | USA | 54.1 | 100 | 5858 | Cohort | 0 cups/day | Not mentioned | Not mentioned | NA | SUA |
| Tang 1998 [ | China | 58.3 | 75 | 416 | Cross-Sectional | 0 gram/day | 325.4 (312.1–338.7) | Not mentioned | NA | SUA |
| Kiyohara | Japan | 52.0 | 100 | 2240 | Cross-Sectional | <1 cups/day | 335.7 (327.4–344.6) | Green tea | Hospital, age, serum total cholesterol, serum HDL-cholesterol, serum creatinine, systolic blood pressure, BMI, rank, beer, alcohol, smoking status, meat, dairy products. | SUA |
| Yuan | Taiwan | NA | NA | 96 | Case–control | Never, | 288.1 (255.3–320.9) | Not mentioned | NA | SUA |
| Haldar | Northern Ireland | 18–64 | 31.5 | 89 | Cross-Sectional | Never, | Not mentioned | Green tea and black tea combined | Age, sex and BMI | SUA |
| Choi | USA | 54.0 | 100 | 45869 | Cohort | 0 cups/day | 1.0 | Not mentioned | Age, total energy intake, BMI, diuretic use, history of hypertension, history of renal failure, intake of alcohol, total meats, seafood, purine-rich vegetables, dairy foods, total vitamin C, decaffeinated coffee. | Gout |
| Choi | USA | 45.0 | 46.8 | 14314 | Cross-Sectional | SUA: | 319.1 (317.6–320.6) | Not mentioned | Age, sex, smoking status, BMI, smoking; use of diuretics, beta-blockers, allopurinol, uricosuric agents, hypertension, glomerular filtration rate, alcohol, total meats, seafood, dairy foods, decaffeinated coffee. | SUA |
| Choi | USA | 46.0 | 0 | 89433 | Cohort | 0 cups/day | 1.0 | Not mentioned | Age, total energy intake, BMI, menopause, use of hormonal replacement, diuretic use, history of hypertension, intakes of alcohol, sugar-sweetened soft drinks, total meats, seafood, chocolate, dairy foods, total vitamin C, decaffeinated coffee. | Gout |
| Yu 2010 [ | China | 40.2 | 48.4 | 7403 | Cross-Sectional | Never, | 1.0 | Not mentioned | NA | HU |
| Chang 2012 [ | Taiwan | 75 | 100 | 361 | Cross-Sectional | Never, | Not mentioned | Not mentioned | NA | SUA |
| Teng | Singapore | 57.6 | 44.3 | 483 | Cross-Sectional | SUA (Green tea): | 309.5 (298.4-321.0) | Green tea, black tea | Cholesterol, creatinine, HbA1c, triglycerides, age, gender, BMI, education, cigarette smoking status, physical activity status, hypertension at baseline, dairy products, red meat, fish, alcohol, soda, fruit juice. | SUA |
| Chatzistamatiou | Greece | 51 | 53 | 660 | Cross-Sectional | Never, | Not mentioned | Not mentioned | NA | HU |
| Bae | Korea | 61.9 | 37.9 | 9400 | Cross-Sectional | SUA (Male): | 345.0 (340.9-349.1) | Not mentioned | Age, education, marital status, cigarette smoking, alcohol drinking, regular exercise, BMI, triglyceride, fasting serum glucose, hypertension medication, glomerular filtration rate, total energy, vitamin c, meat intake, seafood intake, dairy food intake, soft drink intake, added sugar in coffee, added cream in coffee. | SUA |
| Li | China | 37.7 | 52.5 | 1372 | Cross-sectional | <1 time/week | 1.0 | Not mentioned | Age, smoking and drinking status | HU |
| Tian | China | 63 | 44.1 | 19471 | Cohort study | Never, | 280.0 (278.6–281.3) | Green tea | Age, sex, BMI, education, smoking status, alcohol, drinking status, physical activity, hypertension status, hyperlipidemia status, diabetes status and family history of CHD | SUA |
Fig. 2Forest plot of meta-analysis: WMD of SUA concentration between the highest and the lowest tea intake category
Fig. 3Forest plot of meta-analysis: WMD of SUA concentration between the highest and the lowest green tea intake category
Fig. 4Forest plot of meta-analysis: Overall multi-variable adjusted OR of HU for the highest versus the lowest category of tea consumption