Measuring Population-Level Adolescent Mental Health Using a Single-Item Indicator of Experiences of Sadness and Hopelessness: Cross-Sectional Study
Notice bibliographique
Résumé
BACKGROUND: Population-level monitoring of adolescent mental health is a critical public health activity used to help define local, state, and federal priorities. The Youth Risk Behavior Surveillance System includes a single-item measure of experiences of sadness or hopelessness as an indicator of risk to mental health. In 2021, 42% of high school students reported having felt sad or hopeless for 2 weeks or more during the past 12 months. The high prevalence of US high school students with this experience has been highlighted in recent studies and media reports. OBJECTIVE: This study seeks to examine associations between this single-item measure of experiences of sadness or hopelessness with other indicators of poor mental health including frequent mental distress and depressive symptoms. METHODS: We analyzed survey data from a national sample of 737 adolescents aged 15-19 years as a part of the Teen and Parent Surveys of Health. Participants were recruited from AmeriSpeak, a probability-based panel designed to be representative of the US household population. Feeling sad or hopeless was operationalized as a "yes" response to the item, "During the past 12 months, did you ever feel so sad or hopeless almost every day for 2 weeks or more in a row that you stopped doing some usual activities?" Unadjusted and adjusted prevalence ratios (aPRs) were calculated to examine associations between the single-item measure of having felt sad or hopeless almost every day for 2 weeks with moderate to severe depressive symptoms, frequent mental distress, and functional limitation due to poor mental health. Adjusted models controlled for age, race and ethnicity, sex assigned at birth, and sexual identity. RESULTS: Overall, 17.3% (unweighted: 138/735) of adolescents reported that they felt sad or hopeless for 2 weeks or more during the past 12 months, 30.2% (unweighted: 204/716) reported moderate to severe depressive symptoms, 18.4% (unweighted: 126/732) reported frequent mental distress, and 15.4% (unweighted: 107/735) reported functional limitation due to poor mental health. After adjusting for demographics, adolescents who reported that they felt sad or hopeless for 2 weeks or more were 3.3 times as likely to report moderate to severe depressive symptoms (aPR 3.28, 95% CI 2.39-4.50), 4.8 times as likely to indicate frequent mental distress (aPR 4.75, 95% CI 2.92-7.74), and 7.8 times as likely to indicate mental health usually or always interfered with their ability to do things (aPR 7.78, 95% CI 4.88-12.41). CONCLUSIONS: Associations between having felt sad or hopeless for 2 weeks or more and moderate to severe depressive symptoms, frequent mental distress, and functional limitation due to poor mental health suggest the single-item indicator may represent relevant symptoms associated with poor mental health and be associated with unmet health needs. Findings suggest the single-item indicator provides a population-level snapshot of adolescent experiences of poor mental health.
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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 | 0,003 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».