We have located links that may give you full text access.
Journal Article
Research Support, N.I.H., Extramural
Characterization of metabolic syndrome among diverse Hispanics/Latinos living in the United States: Latent class analysis from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).
International Journal of Cardiology 2015 April 2
BACKGROUND/OBJECTIVES: Empirical investigation of the adequacy of metabolic syndrome (MetS) diagnostic criteria, and whether meaningful subtypes of MetS exist, is needed among Hispanics/Latinos.
METHODS: In 15,825 US Hispanics/Latinos from HCHS/SOL, latent class analysis of MetS components (waist circumference, systolic and diastolic blood pressure, HDL cholesterol, triglycerides, glucose, and antihypertensive, lipid- and glucose-lowering medication use) was used to investigate (1) whether distinct subtypes of MetS could be identified, and how component levels differed between them, and (2) how identified subtypes related to covariates and cardiovascular disease (CVD) prevalence.
RESULTS: Two latent clusters emerged in both men (n=6317) and women (n=9508): one characterized by relatively healthy mean levels (Non-MetS cluster, 77.1% of men and 67.1% of women) and the other by clinically elevated mean levels (MetS cluster, 22.9% of men and 32.9% of women) across most MetS components. These clusters showed expected associations with covariates and CVD prevalence. Notable results suggest that (1) HDL cholesterol may poorly differentiate between US Hispanics/Latinos with and without MetS (mean=45.4 vs. 44.6 mg/dL for men and 51.3 vs. 52.0 mg/dL for women in the MetS vs. Non-MetS clusters, respectively) and (2) the NCEP-ATP III 88 cm waist circumference cutoff for US females may not optimize diagnosis among Hispanic/Latino women (MetS cluster mean waist circumference=102.5 cm).
CONCLUSIONS: Beyond classification into having MetS or not, additional subtypes of MetS do not clearly emerge in US Hispanics/Latinos. Current diagnostic cutoffs for some components may not optimize MetS identification among this population.
METHODS: In 15,825 US Hispanics/Latinos from HCHS/SOL, latent class analysis of MetS components (waist circumference, systolic and diastolic blood pressure, HDL cholesterol, triglycerides, glucose, and antihypertensive, lipid- and glucose-lowering medication use) was used to investigate (1) whether distinct subtypes of MetS could be identified, and how component levels differed between them, and (2) how identified subtypes related to covariates and cardiovascular disease (CVD) prevalence.
RESULTS: Two latent clusters emerged in both men (n=6317) and women (n=9508): one characterized by relatively healthy mean levels (Non-MetS cluster, 77.1% of men and 67.1% of women) and the other by clinically elevated mean levels (MetS cluster, 22.9% of men and 32.9% of women) across most MetS components. These clusters showed expected associations with covariates and CVD prevalence. Notable results suggest that (1) HDL cholesterol may poorly differentiate between US Hispanics/Latinos with and without MetS (mean=45.4 vs. 44.6 mg/dL for men and 51.3 vs. 52.0 mg/dL for women in the MetS vs. Non-MetS clusters, respectively) and (2) the NCEP-ATP III 88 cm waist circumference cutoff for US females may not optimize diagnosis among Hispanic/Latino women (MetS cluster mean waist circumference=102.5 cm).
CONCLUSIONS: Beyond classification into having MetS or not, additional subtypes of MetS do not clearly emerge in US Hispanics/Latinos. Current diagnostic cutoffs for some components may not optimize MetS identification among this population.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app