Nurses' use of ‘wellness’ supplements during the <scp>COVID</scp> ‐19 pandemic in the United States
Notice bibliographique
Résumé
AIM: Quantify disparities and identify correlates and predictors of 'wellness' supplement use among nurses during the first year of the pandemic. DESIGN: Longitudinal secondary analysis of Nurses' Health Studies 2 and 3 and Growing Up Today Study data. METHODS: Sample included 36,518 total participants, 12,044 of which were nurses, who completed surveys during the first year of the COVID-19 pandemic (April 2020 to April 2021). Analyses were conducted in March 2023. Modified Poisson models were used to estimate disparities in 'wellness' supplement use between nurses and non-healthcare workers and, among nurses only, to quantify associations with workplace-related predictors (occupational discrimination, PPE access, workplace setting) and psychosocial predictors (depression/anxiety, county-level COVID-19 mortality). Models included race/ethnicity, gender identity, age and cohort as covariates. RESULTS: Nurses were significantly more likely to use all types of supplements than non-healthcare workers. Lacking personal protective equipment and experiencing occupational discrimination were significantly associated with new immune supplement use. Depression increased the risk of using weight loss, energy and immune supplements. CONCLUSION: Nurses' disproportionate use of 'wellness' supplements during the COVID-19 pandemic may be related to workplace and psychosocial stressors. Given well-documented risks of harm from the use of 'wellness' supplements, the use of these products by nurses is of concern. IMPACT: 'Wellness' supplements promoting weight loss, increased energy, boosted immunity and cleansing of organs are omnipresent in today's health-focused culture, though their use has been associated with harm. This is of added concern among nurses given their risk of COVID-19 infection at work. Our study highlighted the risk factors associated with use of these products (lacking PPE and experiencing occupational discrimination). Findings support prior research suggesting a need for greater public health policy and education around the use of 'wellness' supplements. REPORTING METHOD: STROBE guidelines were followed throughout manuscript. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution was involved.
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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 | 0,002 | 0,002 |
| 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 | 0,001 |
| 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 ».