Tecnologias para a promoção da saúde de estudantes universitários: revisão de escopo
Notice bibliographique
Résumé
The impact of the new reality and the obligations of students in higher education can trigger a series of problems. Thus, university spaces are strategic environments for the development of health promotion actions for these students. For this, the use of tools is important to facilitate approximation, interest and collaboration, especially among young people. Thus, the objective of the present study was to analyze the technologies and their contributions to the promotion of the health of university students in the health area. The study developed a Scoping Review based on the JBI. The following research questions were adopted: “What are the technologies for promoting the health of university students in the health area present in the literature? What are the advantages and characteristics of using these technologies?” The sources selected for the study were: Medline/Pubmed, Cumulative Index to Nursing and Allied Health Literature, Web of Science, Latin American and Caribbean Literature in Health Science, Nursing Databases, Scopus, Cochrane, SciElo, Education Resources Information Center, Catalog of Theses and Dissertations by the Coordination for the Improvement of Higher Education Personnel, The National Library of Australia's, Academic Archive Online, Digital Access to Research Theses, Europe E-Theses Portal, Electronic Theses Online Service, Repositorio Científico de Acesso Aberto de Portugal, National ETD Portal, Theses Canada and Google Scholar. A total of 42,294 studies were found and 71 articles were selected for this research. The studies were mostly published in the United States of America, with the main methodology being experimental studies. Among the target audience, there was a predominance of nursing and medicine students, aged between 17 and 54 years. Regarding technologies, the most predominant was light technologies, 34 studies (47.9%), the use of health education, group training and mindfulness/mindfulness were the most used, followed by light/hard technologies 25 studies (35.2%) and technology lasts 12 articles (16.9%). The main focus was on students' mental health in addition to their physical health. The most frequent time of application of the technology was up to eight weeks, being applied mostly in spaces of the university itself, such as classrooms, on the web and outdoors and gymnasiums. Due to the variety of technologies, the materials used were also diverse. Most of the studies did not consider the previous assessment of the health of the students, being only applied to technology. The use of these technologies has shown positive effects in promoting the health of students in the health area, with an improvement in depressive symptoms, anxiety, stress, as well as an increase in the practice of physical activities and also an improvement in the ability to deal with academic stressors. Academic stress experienced by healthcare students can impair health and performance. Thus, these technologies are important strategies to be adopted by educational institutions to ensure the health of their students.
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 | 0,044 | 0,064 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,004 |
| Bibliométrie | 0,035 | 0,042 |
| Études des sciences et des technologies | 0,004 | 0,014 |
| Communication savante | 0,021 | 0,015 |
| Science ouverte | 0,004 | 0,009 |
| Intégrité de la recherche | 0,006 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,003 |
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 ».