Evaluation motor activities at senior in the home enviroment and in constitutional care in East Czech lokality
Notice bibliographique
Résumé
This thesis deals with today's trends in aging, health and physical activity. It deals with aging, its manifestation and impact ond human organism, especially considering senior population. The aim of this work is to stress out the importance of activity and of changing of habits of seniors. This work also wants to compare the activities of seniors in their home and in institutional housing in Eastern-Bohemian region. The data was aquired by quatitative research methods, by questioning. Data was collected using questionairy, by controlled interview; it was made for people over 70 years old, living in home and in retirement homes. Basic set was made from seniors (men and women) living in Eastern-Bohemian region. The sets were 100 randomly picked seniors from retirement homes and 100 randomly picked seniors living in home environment. The hypothesis, that was successfully confirmed is stated thus: Seniors are more active in their home environment. Senior living in their home were more active in sports (biking, hiking, walks, swimming) as well as in things concerning house-keeping (heating, cooking, doing the washing). They were more in touch with their family members and did activities with them. Altogether, these seniors were happier. Care for domestic animals also helps with their psyche. Seniors living in retirement homes showed great interest in RHB excercises and free-time activities conducted by the facility. As for the activity itself, retirement home seniors showed a lot less activity. This fact is due to their lifestyle in the retirement home and due to their health. By this work, I would like to address the distinction between these two groups of senior people, not only regarding activity.
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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 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 ».