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Enregistrement W4297980479 · doi:10.21608/ejceh.2016.247631

Trans fat

2016· article· en· W4297980479 sur OpenAlexaboutno aff

Notice bibliographique

RevueEgyptian Journal of Chemistry and Environmental Health · 2016
Typearticle
Langueen
DomaineNursing
ThématiqueFatty Acid Research and Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFood and drug administrationFood scienceChemistryMedicineEnvironmental health

Résumé

récupéré en direct d'OpenAlex

The primary dietary source for trans-fats is processed food from ―partially hydrogenated oils." In November 2013, the U.S. Food and Drug Administration (FDA) made a preliminary determination that partially hydrogenated oils and it considered as no longer generally Recognized as Safe (GRAS) in human food. Before 1990, very little attention was known about how trans- fat can harm your health. In the 1990, research began identifying the adverse health effects of trans-fats. Based on these findings, FDA instituted labeling regulations for trans-fat and consumption has decreased in the US in recent decades, however some individuals may consume high levels of trans-fats based on their food choices.Trans-fats are easy to use, inexpensive to produce and last a long time action. Trans-fats give foods a desirable taste and texture. Many restaurants and fastfood outlets use trans-fats to deep-fry foods because oils with trans-fats can be used many times in commercial fryers. Several countries (Denmark, Switzerland, and Canada) and jurisdictions (California, New York City, Baltimore, and Montgomery County, MD) have reduced or restricted the use of trans- fats in food service establishments.Trans- fats raise your bad low density lipoprotein (LDL) - cholesterol levels and lower your good high density lipoprotein (HDL) - cholesterol levels. Eating trans-fats increases your risk of developing heart disease and stroke. It’s also associated with a higher risk of developing type two-diabetes.Trans- fats can be found in many foods, including fried foods like doughnuts, and baked goods including cakes, pie crusts, biscuits, frozen pizza, cookies, crackers, and stick margarines and other spreads. Look for trans fat on the ingredient list on food packages. You can determine the amount of trans- fats in a particular packaged food by looking at the Nutrition Facts panel. However, products can be listed as ―0 grams of trans fats‖ if they contain 0 grams to less than 0.5 grams of trans- fat per serving. You can also spot trans- fats by reading ingredient lists and looking for the ingredients referred to as ―partially hydrogenated oils. Small amounts of trans- fats occur naturally in some meat and dairy products, including beef, lamb and butter fat.The American Heart Association recommends cutting back on foods containing partially hydrogenated vegetable oils to reduce trans-fat in your diet and preparing lean meats and poultry without added saturated and trans-fat. Read the Nutrition Facts panel on foods you buy at the store and, when eating out, ask what kind of oil foods are cooked in. Replace the trans-fats in your diet with mono-unsaturated or polyunsaturated fats. The American Heart Association recommends that adults who would benefit from lowering LDL cholesterol reduce their intake of trans-fat and limit their consumption of saturated fat to 5 to 6% of total calories.Here are some ways to achieve that: 1. Eat a dietary pattern that emphasizes fruits, vegetables, whole grains, low-fat dairy products, poultry, fish and nuts. Also limit red meat and sugary foods and beverages. 2. Naturally oils are occurring in unhydrogenated vegetable oils like canola, safflower, sunflower and olive oil, must used. 3.Look for processed foods made with unhydrogenated oil rather than partially hydrogenated or hydrogenated vegetable oils or saturated fat. 4. Use soft margarine as a substitute for butter, and choose soft margarines (liquid or tub varieties) over harder stick forms. Look for ―0 g trans-fat‖ on the Nutrition Facts label and no hydrogenated oils in the ingredients list. 5. Doughnuts, cookies, crackers, muffins, pies and cakes are examples of foods that may contain trans-fat. Limit how frequently you eat them. 6. Limit commercially fried foods and baked goods made with shortening or partially hydrogenated vegetable oils. Not only are these foods very high in fat, but that fat is also likely to be trans-fat.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,296
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,001
Communication savante0,0030,003
Science ouverte0,0020,003
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,2960,220

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,014
Tête enseignante GPT0,273
Écart entre enseignants0,259 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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