Academic and Mental Health Needs of Students on a Canadian Campus/Les Besoins Académiques et En Santé Mentale Des éTudiants Sur Un Campus Canadien
Notice bibliographique
Résumé
University student life is thought to be a time of self-discovery, freedom, and new social experiences. However, for some it can be a stressful and difficult period to navigate, placing students at greater risk for mental health disorders (Blanco et al., 2008). Mental health disorders represent approximately half of all diagnosed health concerns of young adults (World Health Organization, 2010) and 12-month prevalence estimates for a DSM-IV psychiatric disorder among adults in the United States are between 18.5% (Narrow, Rae, Robbins, & Regier, 2002) and 30% (Kessler, Chiu, Demler, & Walters, 2005). Previous epidemiological research indicates that three-fourths of mental health disorders occur before age 24 (Kessler et al., 2005).Controversy surrounds the notion of whether young adults in university experience greater risk for mental health problems than their nonuniversity peers. A national survey conducted in the United States by Blanco et al. (2008) found prevalence rates of any psychiatric disorder within the last 12 months to be similar for both college students and noncollege students. An Australian study, however, compared psychological distress in the general population to a university population and found the student population to be at significantly greater risk for mental health concerns (Stallman, 2010). In addition, qualitative interviews with college administrative staff unveiled a perceived increase in severe psychological concerns presenting at campus counselling services (Watkins, Hunt, & Eisenberg, 2011).In a systematic review of student mental health problems, researchers Storrie, Ahern, and Tuckett (2009) found that 47% of students reported at least one mental health problem, with depression, anxiety, and psychotic disorders representing the majority of mental health concerns. In a randomized sample at a prominent university in the United States, 13.8% of students in the study screened positive for major depressive disorder or other mood disorders, 3.8% screened positive for an anxiety disorder, and 2.5% indicated having suicidal ideations in the previous four weeks (Eisenberg, Gollust, Golberstein, & Hefner, 2007). More recently, a national college student survey conducted by the American College Health Association (2014) found 37% of students identified experiencing anxiety, 33% endorsed symptoms of depression that made it hard to function, and 9% of college students reported attempting suicide at one point in their life. Within the Canadian landscape, there is a growing trend for students with pre-existing mental health problems to attend postsecondary institutions (MacKean, 2011). Considering this trend, it becomes imperative for postsecondary institutions to provide services that are responsive to the mental health needs of the student population.Assessing the ever-changing and diverse needs of university students is an important and ongoing process. Previous research has indicated that student success and mental health are highly correlated (Choi, Buskey, & Johnson, 2010; Lee, Olson, Locke, Michelson, & Odes, 2009; Pritchard & Wilson, 2003). The impact of mental health concerns on students' performance was documented by Pritchard and Wilson (2003), who found that elevated stress levels were associated with lower GPA scores, while fatigue and lower self-esteem were associated with student intent to drop out and poor coping skills. Accessing university counselling services has been significantly associated with student retention (Lee et al., 2009; Sharkin, 2004). Research conducted by Lee and colleagues (2009) found that attending counselling improves student retention, and students who access counselling services were three times more likely to complete their program than those who did not access counselling, regardless of GPA or preuniversity performance. More recently, Choi et al. (2010) found that university students who made clinically significant changes postcounselling reported higher levels of improvement in academic commitment goals and problem resolution. …
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,009 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».