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Enregistrement W3025154048 · doi:10.1002/mds.28116

Incidence of Anxiety in Parkinson's Disease During the Coronavirus Disease (<scp>COVID</scp>‐19) Pandemic

2020· letter· en· W3025154048 sur OpenAlexaff
Mehri Salari, Alireza Zali, Farzad Ashrafi, Masoud Etemadifar, Soumya Sharma, Nastaran Hajizadeh, Helia Ashourizadeh

Notice bibliographique

RevueMovement Disorders · 2020
Typeletter
Langueen
DomainePsychology
ThématiqueCOVID-19 and Mental Health
Établissements canadiensLondon Health Sciences CentreWestern University
Organismes subventionnairesnon disponible
Mots-clésAnxietyMedicinePsychiatryBeck Anxiety InventoryPopulationDiseasePandemicIncidence (geometry)ReferralFamily medicineBeck Depression InventoryInternal medicineCoronavirus disease 2019 (COVID-19)Environmental healthInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

The recent pandemic of coronavirus disease 2019 (COVID-19) have forced countries to be under lockdown,1 with strict emphasis being placed on self-isolation and social distancing.2 The major impact of this mandate is on patients with chronic diseases.3 Parkinson's disease (PD) is a chronic neurodegenerative disease, and anxiety is one of the most frequent neuropsychiatric disorders in PD, with an incidence higher than in any other chronic medical diseases (38% vs. 11%).4 The recent outbreak of coronavirus in Iran could be a contributing factor for worsening anxiety in this group of individuals. Therefore, to test this hypothesis we undertook this study by quantifying anxiety levels using the Beck Anxiety Inventory. This cross-sectional, case-control survey approved by the Iran National Committee for Ethics in Biomedical Researches (IR.SBMU.MSP.REC.1399.033) to evaluate the level of anxiety among PD patients compared with the general population. The study was carried out using a web-based questionnaire keeping in accordance with the current recommendations of preventing in person interviews to limit person-to-person contact. The questionnaire was administered to 500 patients with PD who were being followed up at the referral Movement Disorders Center in Tehran. The questionnaire consisted of Beck Anxiety Inventory II–Persian, which was validated in Persian. We excluded those patients who had a history of psychosis or a Mini-Mental State Examination score of ≤12 based on medical records.4 The questionnaire was also broadcasted over the internet using the WeChat public platform and over the mainstream media for the control group. Histories of PD and dementia were the exclusion criteria for healthy controls. A total of 137 subjects were diagnosed cases of PD who responded to the questionnaire, 95 were caregivers of the PD subgroup, and 442 participants were designated as controls after they were age and gender matched to the patient population. Table 1 provides the demographic details and disease-related and COVID-19–related variables. The mean Beck Anxiety Inventory II total score among PD patients and the control group was 18.34 ± 11.37 and 8.9 ± 8.26, respectively. Severe anxiety was recorded in 25.5% of the cases and 4.8% of controls. Furthermore, 60% of the caregivers had anxiety with 4.2% demonstrating severe anxiety. Therefore, there was a significant difference between the 3 groups with regard to the frequency of anxiety, and it was highest in the PD subgroup followed by their caregivers. In addition, people with a higher education had more anxiety. There was no correlation between PD duration and severity of anxiety, but there was a strong correlation between severity of anxiety in PD patients and fear of getting COVID19, and this correlation was significantly higher than the control group. There was also a strong correlation between being infected by COVID-19 and anxiety in PD patients. We also found higher levels of anxiety in patients with PD who were concerned about drug availability during the lockdown as well as in those with comorbid chronic medical conditions. Although the long-term impact of the COVID-19 pandemic on PD patients is yet to be determined, it seems that these patients are more prone to psychological disturbances attributed to the imposition of quarantine measures, social distancing, and fear of getting infected by COVID-19. These psychological disturbances may be attributed to the worsening of a preexisting anxiety, uncertainty regarding obtaining medications during lockdown, and the perceived higher risk of contracting COVID-19 because of an underlying chronic medical condition. (1) Research Project: A. Conception, B. Organization, C. Execution; (2) Statistical Analysis: A. Design, B. Execution, C. Review and Critique; (3) Manuscript: A. Writing of the First Draft, B. Review and Critique. M.S.: 1A, 1B, 1C, 2C, 2B, 3A, 3B A.R.Z.: 1B, 1C, 3B F.A.: 1A, 1C, 3B M.E.: 1A, 1B, 2C, 3B S.S.H.: 1A, 2C, 3B N.H.:2A, 2B, 2B, 2C H.A.: 1C, 2C, 3A

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,351
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,056
Tête enseignante GPT0,358
Écart entre enseignants0,302 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations112
Publié2020
Routes d'admission1
Résumé présentoui

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