Notice bibliographique
Résumé
Abstract Religion, in both its personal and institutional forms, is a significant force influencing the health of populations across the life course. Decades of research have documented that expressions of faith and the practice of spiritual pursuits exhibit significantly protective effects for physical and mental health, psychological well-being, and population rates of morbidity, mortality, and disability. This finding has been observed across sociodemographic categories, across nations and cultures, across specific disease outcomes, and regardless of one’s religious affiliation. A salutary religious effect on health and well-being is especially apparent among older adults, but is also observed across generations and age cohorts. Moreover, this association has been persistently found for various religious indicators, including attendance at worship services, prayer and other private practices, subjective feelings of religiosity, and numerous measures of religious behaviors, attitudes, beliefs, and experiences. Finally, a protective or primary preventive effect of religion has been observed in clinical, epidemiologic, social, and behavioral studies, regardless of research design or methodology. Faith-based organizations also have contributed to the health of populations, in partnerships or alliances with medical institutions and public health agencies, many of these dating back many decades. Examples include congregational health promotion and disease prevention programs and community-wide interventions, especially targeting the health and well-being of older congregants and those in less well-resourced communities, as well as faith–health partnerships in healthcare delivery, public health policymaking, and legislative advocacy for healthcare reform. Religious denominations and institutions also play a substantial role in global health development throughout the world, individually and in partnership with national health ministries, transnational medical mission organizations, and established nongovernmental agencies. These efforts focus on a wide range of goals and objectives, including building public health infrastructure, addressing ongoing environmental health needs, and responding to acute public health challenges and crises, such as infectious disease outbreaks. Constituencies include at-risk populations and cohorts throughout the life course, and programming ranges from perinatal care to maternal and child healthcare to geriatric medicine.
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 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 | 0,023 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».