80 Prediabetes: An Emerging Health Concern in Urban Living Adolescents
Notice bibliographique
Résumé
Previously considered an adult disease and non-existent in the pediatric population in the late 20th century, type 2 diabetes has now become one of the fastest growing pediatric chronic diseases worldwide 1. A Canadian national surveillance study found an incidence of type 2 diabetes in children and adolescents of 1.54 per 100,000 per year 3. As a result, this current health issue is of great interest to researchers and clinicians around the world. 1. Dean HJ, Sellers EA. Children have type 2 diabetes too: An historical perspective. Biochemistry Cell Biology 2015;93(5):425–9. 2. Amed S, Dean HJ, Panagiotopoulos C, et al. Type 2 diabetes, medication-induced diabetes, and monogenic diabetes in Canadian children: a prospective national surveillance study. Diabetes Care 2010;33(4):786–91. The purpose of this study was to investigate the prevalence rates and risk factors of prediabetes and type 2 diabetes in adolescents attending two predominantly multicultural Canadian urban secondary schools. The study was guided by the following research questions: 1. Are the following risk factors present in adolescents attending two predominantly multicultural Canadian urban secondary schools: ethnicity, body mass index, blood glucose tolerance, and blood pressure? 2. What are the prevalence rates of prediabetes and type 2 diabetes in adolescents attending two predominantly multicultural Canadian urban secondary schools? In this exploratory quantitative study, a total of 266 adolescents, aged 14–21, were screened for risk factors of prediabetes and type 2 diabetes. Data with respect to demographics, family history of diabetes, anthropometrics, blood pressure, and hemoglobin A1c (HbA1c) were collected. Data analysis was done using descriptive and inferential statistics in addition to chi-square analyses. Based on body mass index, 37.2% of the adolescents were classified as either overweight or obese, with females predominantly overweight and males predominantly obese. Based on HbA1c levels, 29.3% were at high risk to develop either diabetes or prediabetes, and 2.6% were classified in the prediabetes range. Many participants with elevated HbA1c were overweight/obese (36.5%), with more than twice as many females than males presenting as overweight. Prehypertension/hypertension rates of 48.5% in the sample increased to 50.6% in those adolescents with elevated HbA1c; the majority of these prehypertensive/hypertensive participants were male. High rates of overweight/obesity and prehypertension/hypertension were found in the adolescents studied and indicated the presence of prediabetes and an increased risk to develop type 2 diabetes and associated complications. Thus, timely research is needed to identify age-appropriate strategies that address risks and to develop recommendations for routine screening of adolescents for prediabetes. Weight and Blood Pressure Classification for those with Elevated A1c by Sex
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».