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European Journal of Nutrition 2016-Nov

Estimated dietary intake and major food sources of polyphenols in elderly of Viçosa, Brazil: a population-based study.

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پیوند در کلیپ بورد ذخیره می شود
Mary Anne Nascimento-Souza
Pedro Gontijo de Paiva
Jara Pérez-Jiménez
Sylvia do Carmo Castro Franceschini
Andréia Queiroz Ribeiro

کلید واژه ها

خلاصه

OBJECTIVE

Epidemiological studies have remarked the beneficial role that polyphenols may have in the elderly population such as cancer and cardiovascular disease prevention. This is particularly relevant considering the global tendency of population aging. Data on polyphenol intake in the elderly population are scarce and usually provide partial information-only for some polyphenol classes. The aim of this study was to estimate the intake of polyphenols and its major dietary contributors in the population of Viçosa.

METHODS

A cross-sectional population-based survey including 620 elderly was conducted in Viçosa, Brazil. Food intake was estimated by recall of habitual consumption (RHC). Polyphenol intake was calculated by matching food consumption data from the RHC with the polyphenol content in foods listed in the Phenol-Explorer database.

RESULTS

The average total polyphenol intake was 1198.6 mg/day (533.7 mg/day as aglycone). The main polyphenol classes were phenolic acids (729.5 mg/day) and flavonoids (444.7 mg/day). The main dietary contributors for total polyphenols were coffee (45.8%), beans (32.8%) and polenta (1.3%). A total of 292 polyphenols divided in 14 classes and 23 subclasses were found. The individual compounds with the highest intake were isomers of chlorogenic acid (i.e., 5-caffeoylquinic acid, 4-caffeoylquinic acid and 3-caffeoylquinic acid) among hydroxycinnamic acids that largely originated from coffee.

CONCLUSIONS

The data reported here can be used to evaluate the association between the amount and type of ingested polyphenols and health outcomes in epidemiological studies in order to eventually establish nutritional recommendations.

به صفحه فیس بوک ما بپیوندید

کاملترین پایگاه داده گیاهان دارویی با پشتیبانی علمی

  • به 55 زبان کار می کند
  • درمان های گیاهی با پشتوانه علم
  • شناسایی گیاهان توسط تصویر
  • نقشه GPS تعاملی - گیاهان را در مکان نشان دهید (به زودی)
  • انتشارات علمی مربوط به جستجوی خود را بخوانید
  • گیاهان دارویی را با توجه به اثرات آنها جستجو کنید
  • علایق خود را سازماندهی کنید و با تحقیقات اخبار ، آزمایشات بالینی و حق ثبت اختراع در جریان باشید

علامت یا بیماری را تایپ کنید و در مورد گیاهانی که ممکن است به شما کمک کنند ، بخوانید ، یک گیاه تایپ کنید و بیماری ها و علائمی را که در برابر آن استفاده می شود ، ببینید.
* کلیه اطلاعات براساس تحقیقات علمی منتشر شده است

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