A Cross-national Comparison Study of Metabolic Syndrome among Canadian and Korean Older Adults
Notice bibliographique
Résumé
Background: Metabolic syndrome (MetS) is a clustering of traditional cardiovascular risk factors including central obesity, dyslipidemia, insulin resistance, and hypertension. The prevalence of MetS increases risk of cardiovascular disease and type 2 diabetes and increases with age. \nPurpose: To compare prevalence and correlates of MetS (and components) in Canadian and Korean older adults. \nMethods: This study consisted of secondary data analysis, using data from the Canadian Health Measures Survey (CHMS) (cycle 1) and the Korea National Health and Nutrition Examination Survey (cycle 4). The study sample included adults aged 60 to 79 years and who provided fasting blood samples. To compare prevalence of MetS between countries, the same diagnostic criteria (Harmonizing definition) were used. Similar measures of potential explanatory variables for MetS, such as physical activity, dietary patterns, comorbidity, gender, household income adequacy, education, marital status, alcohol consumption, smoking, psychological distress, and duration of sleep were also used where possible. Univariate and multiple logistic regression models were used to examine the cross-sectional relationship between these study variables and MetS. Principal component and cluster analyses were conducted to derive dietary patterns. \nResults: Included were 550 (weighted N=4,886,039) and 3,040 (weighted N=4,267,182) Canadians and Koreans aged 60 to 79 years, respectively. The prevalence of MetS was 42.0% and 52.2% in the Canadian and Korean sample, respectively (p<.0001). The prevalence of MetS in Korean women was 60.5% and explained the overall increased prevalence in the Korean sample. Results of the descriptive analysis, as well as the univariate and multiple logistic regression analyses indicated that the prevalence and pattern or joint distribution of explanatory variables differed across the two populations. In the Canadian sample, the final multivariate model comprised household income, marital status, alcohol consumption and psychological distress, with evidence of an interaction between adequacy of household income and marital status. In the Korean sample, the final multivariate model comprised comorbidity, gender, education, marital status, physical activity, and dietary pattern, with evidence of an interaction between comorbidity and marital status and between gender and education. \nConclusions: Findings of this study provided insight into possible underlying mechanisms that might lead to between-country differences in prevalence of MetS and to inconsistent measures of association between MetS and an individual factor like physical activity or dietary intake across studies.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 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 ».