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Nutrition Research and Practice 2012-Aug

Dietary patterns based on carbohydrate nutrition are associated with the risk for diabetes and dyslipidemia.

Зөвхөн бүртгэлтэй хэрэглэгчид л нийтлэл орчуулах боломжтой
Нэвтрэх / Бүртгүүлэх
Холбоосыг санах ойд хадгалдаг
Su Jin Song
Jung Eun Lee
Hee-Young Paik
Min Sun Park
Yoon Ju Song

Түлхүүр үгс

Хураангуй

Several studies have been conducted on dietary patterns based on carbohydrate nutrition in Asian populations. We examined the cross-sectional associations in dietary patterns based on carbohydrate nutrition, including the glycemic index (GI) with dyslipidemia and diabetes among the Korean adult population. We analyzed 9,725 subjects (3,795 men and 5,930 women, ≥ 20 years) from the Fourth Korea National Health and Nutrition Examination Survey. Dietary information was collected using single 24-hour recall. Reduced rank regression was used to derive dietary patterns from 22 food groups as predictor variables and four dietary factors related to the quantity and quality of carbohydrates as response variables. Two dietary patterns were identified: 1) the balanced pattern was characterized by high intake of various kinds of foods including white rice, and 2) the rice-oriented pattern was characterized by a high intake of white rice but low intake of vegetables, fruits, meat, and dairy products. Both patterns had considerable amounts of total carbohydrate, but GI values differed. The rice-oriented pattern was positively associated with hypertriglyceridemia in men and low high density lipoprotein-cholesterol in both men and women. The balanced pattern had no overall significant association with the prevalence of dyslipidemia or diabetes, however, men with energy intake above the median showed a reduced prevalence of diabetes across quintiles of balanced pattern scores. The results show that dietary patterns based on carbohydrate nutrition are associated with prevalence of dyslipidemia and diabetes in the Korean adult population.

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Шинжлэх ухаанаар баталгаажсан эмийн өвс ургамлын бүрэн мэдээллийн сан

  • 55 хэл дээр ажилладаг
  • Шинжлэх ухааны үндэслэсэн ургамлын гаралтай эдгэрэлт
  • Ургамлыг дүрсээр таних
  • Интерактив GPS газрын зураг - эмийн ургамлыг байршлаар нь тэмдэглэнэ (удахгүй)
  • Хайлттай холбоотой шинжлэх ухааны нийтлэлүүдийг уншина уу
  • Эмийн өвсийг үр нөлөөгөөр нь хайж олох
  • Мэдээллийн судалгаа, клиник туршилт, патентыг цаг тухайд нь сонирхож, зохион байгуул

Шинж тэмдэг эсвэл өвчний талаар бичиж, тус болох ургамлын талаар уншиж, өвслөг ургамлыг бичиж, өвчний эсрэг шинж тэмдгийг үзээрэй.
* Бүх мэдээлэл нь хэвлэгдсэн эрдэм шинжилгээний судалгаанд үндэслэсэн болно

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