“Anti-COVID-19” Medications, Supplements, and Mental Health Status in Indonesian Mothers with School-Age Children
Notice bibliographique
Résumé
Annette d’Arqom,1,2 Brihastami Sawitri,2,3 Zamal Nasution,4 Riko Lazuardi5 1Division of Pharmacology, Department of Anatomy, Histology, and Pharmacology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia; 2Translational Medicine and Therapeutic Research Group, Universitas Airlangga, Surabaya, Indonesia; 3Department of Psychiatry, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia; 4Institute for Population and Social Research, Mahidol University, Bangkok, Thailand; 5District Level Health Office, Surabaya, IndonesiaCorrespondence: Annette d’ArqomDivision of Pharmacology, Department of Anatomy, Histology, and Pharmacology, Faculty of Medicine, Universitas Airlangga, Jl. Mayjen Prof. Dr. Moestopo 47, Surabaya, 60131, East Java, IndonesiaEmail annette-d-a@fk.unair.ac.idPurpose: The COVID-19 pandemic affects all aspects of life and might cause stress for vulnerable groups such as mothers with school-age children, both housewives and working mothers. With the uncontrolled circulating information about medications, supplements, and herbs that are believed to treat COVID-19, self-medication and misused might escalate. Therefore, this study aims to determine the consumption of “anti-COVID” agents and the mental health of mothers with school-age children in Indonesia.Methods: Online questionnaires regarding medications/supplements for COVID-19 prevention and treatment of “anti-COVID” consumption behavior and mental health using the Depression, Anxiety, and Stress Scales (DASS-21) were distributed among Indonesian mothers with school-age children. Data (n = 610) were analyzed; descriptive and association between sociodemographic factors, “anti-COVID” medications consumption, and mental health were presented.Results: A quarter of the respondents were categorized as having mental disorders, with higher scores of DASS-21 was higher in the housewives’ group. The incidence associated with age, family expenses, and marital status in the working mothers’ group, and only with family expense in the housewives’ group. Moreover, the result showed 80% of the respondents consumed “anti-COVID” medications or supplements to prevent COVID-19, with 75% did self-medication without consulting with a healthcare professional. Friends/family and social media were two primary sources of information regarding the “anti-COVID” products. In the housewives’ group, their consumption behavior was influenced by education. Meanwhile in the working mothers’ group, the consumption behavior was influenced by age, family income, and family expense. In addition, there was no association between the usage of medications/supplements with the respondents’ mental health status.Conclusion: This study showed the importance of controlling information and expanding the mother’s knowledge to find the correct information to minimize the unwanted effect in the post COVID-19 pandemic. Increasing awareness of mental health issues in the community, especially in the vulnerable population such as mother with school-age children, is necessary to avoid detrimental effects that might occur in the future.Keywords: mental health, natural product, self-medication, vitamin
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 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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».