title: Trends in hyperuricemia and gout prevalence: Nutrition and Health Survey in Taiwan from 1993-1996 to 2005-2008.
abstract: Hyperuricemia is a recognized risk factor for cardiovascular disease. This study investigated trends in uric acid levels, hyperuricemia and gout among adults in Taiwan from 1993-1996 to 2005-2008, using data collection from, Nutrition and health surveys in Taiwan (NAHSIT) conducted in 1993-1996 and 2005-2008. Information on food frequency, medical history, physical measures and fasting blood parameters were analyzed. Mean uric acid levels decreased between 1993-1996 and 2005-2008 in both genders (6.77 vs 6.59 mg/dL in men and 5.33 vs 4.97 mg/dL in women) and the prevalence of hyperuricemia declined from 25.3% to 22.0% in men (p<0.0001) and from 16.7% to 9.7% in women (p<0.0001). However, the prevalence of gout (self-reported) increased (4.74% vs 8.21% in men and 2.19% vs 2.33% in women, p<0.0001). Reduced rank regression was used to identify dietary patterns that explained significant amounts of variance in uric acid. Frequency of consumption of lean meat, soy products and soymilk, milk, eggs, vegetables, carrots, mushrooms, fruit and coffee were negatively associated with hyperuricemia, whereas consumption of organ meats, bamboo shoots, and soft drinks were positively associated with hyperuricemia. The dietary factor score (DFS) composed of the frequency of above food items decreased from -5.40 to -6.00 between the two surveys (p<0.0001). In conclusion, uric acid levels and prevalence of hyperuricemia both declined, whilst self-reported gout increased between 1993-1996 and 2005-2008. Changes in dietary patterns may in part explain the decrease in uric acid levels between the two national surveys.
authors.affiliation: Institute of Biomedical Science, Academia Sinica, 128 Sec 2, Academia Rd, Nankang, Taipei 115 Taiwan, ROC.
authors.forename: Shao-Yuan
authors.initials: SY
authors.lastname: Chuang
authors.forename: Shu-Chen
authors.initials: SC
authors.lastname: Lee
authors.forename: Yao-Te
authors.initials: YT
authors.lastname: Hsieh
authors.forename: Wen-Harn
authors.initials: WH
authors.lastname: Pan
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D001628:Beverages; D003069:Coffee; D003611:Dairy Products; D004032:Diet / Q000379:methods / Q000706:statistics & numerical data; D005260:Female; D005638:Fruit; D006073:Gout / Q000097:blood / Q000453:epidemiology*; D006306:Health Surveys / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D033461:Hyperuricemia / Q000097:blood / Q000453:epidemiology*; D008297:Male; D008460:Meat; D008875:Middle Aged; D009749:Nutrition Surveys / Q000379:methods / Q000706:statistics & numerical data; D015995:Prevalence; D012307:Risk Factors; D017678:Sex Distribution; D013025:Glycine max; D013624:Taiwan / Q000453:epidemiology; D014527:Uric Acid / Q000097:blood; D014675:Vegetables; D055815:Young Adult
chemical_list: D003069:Coffee; D014527:Uric Acid