Association of Qi-stagnation and Subjective Sleep Characteristics with Mild Cognitive Impairment Among Non-depressed Elderly in Community: A Cross-Sectional Study
Notice bibliographique
Résumé
Abstract Objective: Depression and sleep disturbance is commonly reported in patients with mild cognitive impairment (MCI). However, it remains unclear whether Qi-stagnation is still a risk factor for MCI before the older adults suffer from depression. The purpose of this study was to examine the association between Qi-stagnation and subjective sleep quality with MCI among non-depressed elderly in the Chinese community.Methods: A simple random sampling method was used to abstract research subjects from 34 community elderly day care centers in Fuzhou city based on their electronic health records from March 2019 to December 2020. Intensive face-to-face interviews were conducted using tools such as Montreal cognitive function assessment, AD8 dementia screening questionnaire, Pittsburgh Sleep Quality Index, and TCM constitution assessment scale, among others to analyze the proportion of older adults with MCI who suffer from sleep disturbance and Qi-stagnation in the community. Multi-factor logistical regression was employed to analyze the association among subjective sleep quality, TCM constitution, and MCI.Results: A total of 1,268 subjects were investigated and 1,071 cases were included in this study, among which 314 cases were of MCI patients, with a morbidity of 29.3%. The proportion of individuals having Qi-deficiency (12.4%) and Qi-stagnation (11.1%) was higher in MCI patients than in the controls with normal cognitive function (P<0.05). After adjusting for age, gender, and years of education, the probability of the old with Qi-deficiency and Qi-stagnation suffering from MCI was 1.559 times [95% confidence interval (CI): 1.009–2.407] and 1.706 times (95% CI: 1.078–2.700) higher than that of the older adults without Qi-deficiency and Qi-stagnation, respectively. In the Pittsburgh sleep quality index (PSQI) scale, individuals with MCI had poorer subjective sleep quality (Z=-3.404, P=0.001), longer sleep latency (Z=-3.398, P=0.001), shorter sleep duration (Z=-2.237, P=0.025), and aggravated daytime dysfunction (Z=-3.723, P<0.001) compared with those without MCI. The intergroup differences showed no statistical significance in the three dimensions including habitual sleep efficiency, sleep disturbance, and hypnotics between groups. The results of multi-factor logistical regression showed that sleep latency [odds ratio (OR)=1.168, 95% CI: 1.016–1.342], daytime dysfunction (OR=1.261, 95% CI: 1.087–1.463), and Qi-stagnation (OR=1.449, 95% CI: 1.022–2.055) were the risk factors for MCI; the OR for older adults with sleep disturbance and Qi-stagnation suffering from MCI was 2.581 (95% CI 1.706–3.907).Conclusion: MCI patients have a higher incidence of sleep disorders and Qi-stagnation, and may show specific changes in their daytime and nighttime sleep characteristics, with the specific manifestations such as difficulty in falling asleep, easily waking up at night/ early morning, and daytime dysfunction, among others.
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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 | 0,001 |
| 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 | 0,001 | 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) | 0,001 | 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 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 ».