Diagnosing metabolic syndrome in a multi-ethnic country: is an ethnic-specific cut-off point of waist circumference needed?
Adult
Aged
Blood Glucose
/ analysis
Cholesterol, HDL
/ blood
Ethnicity
Female
Humans
Hypertension
/ epidemiology
Indonesia
/ epidemiology
Male
Metabolic Syndrome
/ diagnosis
Middle Aged
Obesity, Abdominal
/ epidemiology
Prevalence
ROC Curve
Reference Values
Risk Factors
Sensitivity and Specificity
Triglycerides
/ blood
Waist Circumference
/ ethnology
Journal
Nutrition & diabetes
ISSN: 2044-4052
Titre abrégé: Nutr Diabetes
Pays: England
ID NLM: 101566341
Informations de publication
Date de publication:
08 06 2020
08 06 2020
Historique:
received:
29
01
2020
accepted:
28
05
2020
revised:
22
05
2020
entrez:
10
6
2020
pubmed:
10
6
2020
medline:
31
3
2021
Statut:
epublish
Résumé
The definition of Metabolic Syndrome (MS) required an ethnic-specific cut-off point for waist circumference (WC). We aim to assess the optimal ethnic-specific WC cut-off point for MS in Indonesia, a multi-ethnic country. Three population-based studies in Indonesia were included for analysis [Flores (n = 1227, Floresian), Depok (n = 904, Sundanese), and Jakarta (n = 1574, Javanese)]. All subjects were 25-65 years old. The receiver operator characteristic curve analysis and Youden index method was used to determine the optimal cut-offs of WC to predict two or more risk factors of MS. In Flores, the cut-offs were 80 cm (Sensitivity and Specificity, AUC, 84% and 73%, 0.86) and 77 cm (86% and 68%, 0.85), for men and women, respectively. While in Depok, the values were 87 cm (87% and 67%, 0.85) and 79 cm (94% and 54%, 0.79), for men and women, respectively. While in Jakarta, the values were 83 cm (92% and 60%, 0.85) and 81 cm (84% and 60%, 0.77), for men and women, respectively. The optimal WC cut-off values for MS were different in those three ethnicities, and in general were lower than the currently used cut-off points for Asian population.
Identifiants
pubmed: 32513949
doi: 10.1038/s41387-020-0123-8
pii: 10.1038/s41387-020-0123-8
pmc: PMC7280283
doi:
Substances chimiques
Blood Glucose
0
Cholesterol, HDL
0
Triglycerides
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
19Références
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