AN INVESTIGATION OF THE RELATIONSHIP BETWEEN DIETARY LIPIDS AND SERUM LIPIDS
Notice bibliographique
Résumé
This thesis examined the relationship between dietary fat intake and serum lipid levels in a male sample of the pop—ulation in Saskatoon, Saskatchewan. The total sample of 163 was subdivided into Normals (87) and patients with Ischemic Heart Disease (IHD) (76). All subjects were participants in an Exercise Research Project, and were between the ages of 35 and 60 years. \nA 7-day Dietary History was used to evaluate the dietary habits. All subjects completed at least one dietary history. There were also 25 subjects who completed 2, and 2 subjects who did 3 histories. These histories were then coded and computer analyzed. Computer analysis utilized the Master Food Composition Table stored in computer memory. The table contained the nutritional breakdown of some 1,000 different food items. Included on the computer print - out were the daily figures for Calories, Protein, Total Fat, Saturated Fat, Monousaturated Fat, Polyunsaturated Fat, and Cholesterol. The average weekly intake of the above mentioned nutrients was also com—puted. \nThe serum determinations were done by qualified technicians in a hospital laboratory. The figures from these determinations were obtained from the charts of the individual subjects. The other medical \ndata necessary was also obtained from these charts. \nThe dietary and medical data were merged onto computer tape to facilitate analysis \nNormal subjects as compared to IHD subjects had higher in—takes of cholesterol, total fat, saturated fat and calories. The IHD subjects had higher serum cholesterol and triglyceride levels than the Normals. \nIn this population sample studied by the author, the high—er dietary intakes of fats did not appear to be associated with the increased serum lipid levels. However, the higher serum lipid levels were associated with the incidence of IHD. According to the literature reviewed, (7, 15, 29, 41, 43) the authors suggest an association be—tween high dietary cholesterol and high serum cholesterol and that this in turn precipitates the occurrence of IHD. \nThis study compared present dietary fat intake with serum lipid levels and did not find a positive relationship.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».