[Retracted] Correlation between Sleep Time, Sleep Quality, and Emotional and Cognitive Function in the Elderly
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Notice bibliographique
Résumé
Background. To explore the relationship between sleep time, sleep quality, and emotional and cognitive function in the elderly. Methods. A total of 150 elderly patients over 65 years old who were admitted to our hospital from February 2019 to April 2021 were divided into a normal cognitive function group (Mini‐Mental State Examination (MMSE) score: illiteracy, >17; primary school, >20; and middle school and above, >24; N = 86) and cognitive impairment group (MMSE score: illiteracy, ≤17; primary school, ≤20; and middle school or above, ≤24; N = 64). The sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI), and anxiety and depression were evaluated by Hamilton anxiety scale (HAMA) and Hamilton depression scale (HAMD), respectively. The cognitive function between the two groups was compared via the Montreal Cognitive Assessment (MoCA) score, visual spatial execution, and attention. Pearson correlation analysis was used to analyze the correlation between sleep quality, sleep time, and emotional and cognitive function. Results. In the comparison of sleep quality between the two groups, the total score of PSQI, sleep quality, falling asleep time, sleep time, and sleep efficiency of patients with cognitive impairment were higher than those of patients with normal cognitive function (P < 0.05). There was no significant difference in the scores of hypnotic use and daytime dysfunction between the two groups, but the scores of nocturnal sleep disorders and ESS in the cognitive impairment group were significantly higher than those in the normal group (P > 0.05). Compared between the two groups, the MoCA score, visual spatial execution, and attention in the cognitive impairment group were significantly lower than those in the normal group, and the difference was statistically significant (P < 0.05). The delayed recall in the cognitive impairment group was significantly higher than that in the control group (P < 0.05). There was no significant difference in orientation, naming, language, and abstract ability between the two groups (P > 0.05). The scores of HAMA and HAMD in the cognitive impairment group were significantly higher than those in the normal group. Pearson correlation analysis was used to analyze the correlation between sleep therapy, sleep time, and the score of cognitive scale. The results showed that PSQI was negatively correlated with MoCA and MMSE, and ESS was negatively correlated with MoCA and MMSE. Pearson correlation analysis results indicated that PSQI was positively correlated with HAMA and HAMD, while ESS was negatively correlated with HAMA and HAMD. Conclusion. The sleep quality and sleep time of elderly patients are positively correlated with their cognitive function. The worse the sleep quality is, the worse their cognitive function is and the more serious their anxiety and depression are. In the course of clinical therapeutics, more attention should be paid to the sleep quality of elderly.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| 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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,002 |
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 source (Gemma direct ou Codex distillé), 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 ».