Study of Anxiety and Depression Factors in People with Mild Cognitive Impairment in COVID-19 Pandemic
Notice bibliographique
Résumé
Background. The COVID-19 pandemic is a major stressor with predictable negative impacts on mental health, especially for vulnerable populations, which include older people. Emotional disorders, a decrease in intellectual, physical, social activity are the risk factors for the development of cognitive decline in older people; in the situation of the COVID-19 pandemic, the influence of all these factors is exacerbated. In this regard, it seems relevant to study the level of emotional disorders and factors affecting the emotional state of patients with mild cognitive impairment (MCI) in the context of the COVID-19 pandemic in comparison with the period before the pandemic. Aims: emotional state assessment in patients over 55 years old with MCI during the COVID-19 pandemic and identification of factors influencing the emotional state of these patients. Materials and methods: A cross-sectional single-center observational study of patients with MCI who applied to the Memory Clinic in the autumn of 2018 (n = 121), 2019 (n = 114), in the autumn of 2020 (n = 70), and in the spring of 2020 (n = 110). Patients were examined using the Hospital Anxiety and Depression Scale (HADS), the Montreal Cognitive Assessment (MoCA), the MiniMental State Examination (MMSE), and the Khachinsky Modified Ischemia Assessment Scale. In 2020, in addition to these scales, a questionnaire Personal experience of COVID-19 pandemic was applied to assess the experience associated with the new coronavirus infection. Results: The severity of emotional disorders, assessed by HADS scale, did not differ between groups (F = 0.751; p = 0.522 and F = 0.310; p = 0.818 for the HADS anxiety and depression subscales, respectively). Adjustment for covariates (scores on the Khachinsky and/or MoCA and/or MMSE scales) did not affect the significance of differences between groups on the HADS subscales, regardless of the correction for multiple comparisons. Pathway modeling analysis demonstrated the low ability of the models to predict emotional state based on risk factors (age, gender, Khachinsky score) and cognitive symptoms (MoCA and MMSE scores) all coefficients r 0.7. A change in intellectual activity (decrease) and subjective impression of the difficulties obtaining medical care were associated with a higher score on the HADS anxiety scale. Decreased physical health and decreased personal communication were associated with higher scores on the HADS depression scale. Clinically pronounced changes in the emotional state were noted only in relation to anxiety, which depended on the changes in intellectual activity. Conclusions: severity of anxiety and depression was not increased in patients with MCI, regardless of the control of additional factors. No differences were found in the contribution of risk factors (age, gender, vascular and atrophic factors of cognitive decline) and cognitive dysfunction to the formation of emotional disorders in comparing with previous years.
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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 | 0,004 | 0,001 |
| 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 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 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 ».