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The Hidden Truth About Cardio

2018· article· en· W2905452477 sur OpenAlexaboutno aff
Kyle Cooper

Notice bibliographique

RevueeScholarship (California Digital Library) · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueDiet and metabolism studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHistoryWeight lossTragedy (event)ArtMedicineLiteratureObesity
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

\n How your daily gut busting routine may actually be preventing weight loss and pushing you closer to death\n \n In western cultures like ours, countries like the U.S., UK, Australia, Canada and other European nations, what’s the first thing that anybody thinks of or tells you whenever the idea of weight loss is brought up? You’ve got to hit the treadmill, exercise bike or the streets and burn those calories!\n On the surface of it, this makes sense, right? After all, you’re doing a lot of work and you’re sweating and breathing heavy. Surely running a few miles every day must be dissolving those unsightly LB’s like crazy, right?\n Would you be surprised to hear that this is actually wrong?\n No, I’m not crazy – let me lay it out for you…\n Yes, cardio does burn calories, it’s true. And yes, some cardio is good for you. Light cardio promotes a healthy heart and increases your endurance. On the other hand, though… heavy cardio actually begins to have the opposite effects.\n Before I get into why, let me give you a simple but common sense example. Imagine pre-historic Man. These men and women are running around the Paleolithic world chasing down antelope, red deer, aurox, bison and the occasional wooly mammoth. Most of their diet comes from animal protein and what edible plants they can scrounge.\n Well, if cardio was so great for losing weight, these people would simply starve to death while running down their food. All that cardio would burn through their energy reserves faster than they could replace them. Yet they didn’t starve to death… why?\n For one thing, a lot of heavy cardio is hard on your knees and feet. Second, it’s also hard on the heart. Too much cardio actually begins to add scar tissue to your heart and increases your rate of heart attack. We didn’t realize that for a while until many scientific studies were done on the subject.\n As for losing weight, excessive cardio actually has the reverse effect and here’s why. Our bodies are genetically designed to survive. Our body’s job is to store energy as fuel both for its immediate use and in the form of fat for those times when food is scarce. In modern times, of course, food isn’t really scarce, so this built in safety feature is rarely needed.\n However, when you deprive your body of the nutrients it requires, either by starving yourself on some crazy diet or by over-taxing your body with lots of cardio, it begins to switch into survival mode.\n Additionally, and unfortunately with heavy cardio, your body also becomes anabolic.\n This means that it begins to burn the most effective source of energy first – and that’s not fat… it’s your muscle. Take a good look at some of these chronic long distance runners who compete. Many of them are kind of stringy looking and have to pack in the carbs just to maintain their muscle mass.\n You want your body to burn fat, not muscle, obviously. It’s not really about calories, as many diets and so-called fitness gurus try to make you believe. Calories are only a means of measuring food energy. Yes, if you want to lose weight, you must take in less calories than you consume, yet there’s so much more to it than that.\n The biggest secret to weight loss isn’t running 10 miles every day, starving yourself or even avoiding some of your favorite carbs, believe it or not. In fact, if you’re going to lose weight properly, it’s actually important that you do eat some of your favorite foods!\n I know that sounds crazy, too – but it’s absolutely true, and I can prove it to you! If you know how to use your body’s natural processes to your advantage, it’s entirely possible to lose 10, 20 or even 30+ pounds in a single month without starvation diets, gut wrenching cardio, ridiculous workouts and eating anything gross! It’s true and I can show you the science to prove it!\n Want to know more about dropping some stubborn LB’s right away? Then click this link and I’ll show you a video that’ll explain how and show you the science backed by independent clinical studies to prove it. http://bit.ly/click-here-for-fat-decimator-system-official-website\n

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)0,004
score de la tête « metaresearch » (Gemma)0,021
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: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,060

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,021
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0050,022
Communication savante0,0080,009
Science ouverte0,0010,003
Intégrité de la recherche0,0090,021
Charge utile insuffisante (le modèle a refusé de juger)0,0180,009

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 Opus0,015
Tête enseignante GPT0,237
Écart entre enseignants0,221 · 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
GenreCommentaire

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

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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