OP51 Associations between the social environment and cardiometabolic health outcomes: systematic review (and meta-analysis)
Notice bibliographique
Résumé
<h3>Background</h3> A number of studies has investigated the relationship between the social environment and lifestyle behaviours. However, to what extent the relation between the social environment (<i>i.e.,</i> the social relationships and social context in which groups of people live and interact) and lifestyle behaviours extends to cardiometabolic disease outcomes is unknown. This systematic review and meta-analysis systematically summarizes the available evidence. <h3>Methods</h3> We systematically searched PubMed (Medline), Scopus, and Web of Science from inception to 16 February 2021. Outcomes of included studies were type 2 diabetes mellitus and cardiovascular diseases and determinants were social environmental factors such as area-level deprivation and social network size. Titles and abstracts were screened in duplicate. We assessed the quality of the studies using the Newcastle-Ottawa Scale (NOS). We meta-analysed associations when ≥3 binary associations were available per social environment dimension and when those were generated by high quality papers. For the sake of this abstract, we only present results for stroke outcomes but full results will be available at the time of the conference. The protocol was registered in PROSPERO (ID:CRD42021223035). <h3>Results</h3> From 7,671 records screened, 218 were included and 35 focused on stroke. Of these, 33 were conducted in high income countries, 60% (n=21) applied a longitudinal design, and 50% (n=17) were of poor or fair quality. Among the 35 studies, 97 relevant associations were investigated. The largest number of associations investigated was related to the dimension <i>Economic and Social Disadvantage</i> (71%), followed by<i> Social Relationships and Norms</i> (16%), <i>Discrimination and Segregation</i> (8%),and <i>Social Cohesion and Social Capital</i> (2%). Limited evidence was found for the remaining dimensions (<i>Crime and Safety</i>, <i>Civic Participation and Engagement</i> and <i>Disorder and Incivilities)</i> in relation to stroke. Meta-analysis of binary data from high quality studies was only possible for <i>Economic and Social Disadvantage</i>. More <i>Economic and Social Disadvantage</i> was associated with higher stroke risk/prevalence (n=5; OR=1.10; 95% CI, 1.03–1.17; I<sup>2</sup>=<i>39.76%</i>). <h3>Conclusion</h3> Higher levels of economic and social disadvantage seem to contribute to increased stroke risk. During the conference we will present full results of the systematic review and meta-analysis, including underexplored dimensions such as <i>Discrimination and Segregation, Crime and Safety, Civic Participation and Engagement</i> and<i> Disorder and Incivilities</i>.
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 | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».