Notice bibliographique
Résumé
A wellbeing as one of QOL in older people was discussed by using the findings previously obtained by our three epidemiological studies on older Japanese people.\nA characteristic analysis showed that older people of a D type who were stable and active for doing everything, took and consumed energy more than that of a B type, a reverse type of the D type. The older people of the D type had some vitamins and minerals more and going out more frequently than those of the B type as well.\nThe sufficiency of nutrient intakes by a family type and gender showed that the older people surveyed ate enough or more, particularly ate most in a family living with wife and husband (FLWH). However, the "wellbeing score" computed was lowest in its wife and highest in its husband. On the other hand, both men and women in a family \nliving together with a family of their child also had highest scores as similar as the men in FLWH, though they ate as slightly less as in FLWH. The lowest wellbeing \nscore in the FLWH women might be due perhaps to the stressors derived from many kinds of orders by their despotic husbands in FLWH.\nThe older Canadian-Japanese showed that some nutrient intakes were less than in the older Japanese living in Japan, and their health states were not so good as the \ncontrols living in Japan. Nonetheless they went out more frequently and actively for social and cultural events so on than the older people living in Japan, and they \nalmost felt happy and were satisfied with their daily lives, being a remarkably distinguished difference between both groups.\nThese findings suggest that enough or more dietary intakes do not necessarily contribute to "wellbeing". More than it, going out actively for taking part in social and cultural activities in a daily life may be important for improving wellbeing.
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) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,021 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».