Screening for the metabolic syndrome using simple anthropometric measurements in south Asian and white Europeans: A population-based screening study. The Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) Study

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Screening for the metabolic syndrome using simple anthropometric measurements in south Asian and white Europeans : A population-based screening study. The Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) Study. / Khunti, Kamlesh; Taub, Nick; Tringham, Jennifer; Jarvis, Janet; Farooqi, Azhar; Skinner, T. Chas; Davies, Melanie J.

In: Primary Care Diabetes, Vol. 4, No. 1, 01.04.2010, p. 25-32.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Khunti, K, Taub, N, Tringham, J, Jarvis, J, Farooqi, A, Skinner, TC & Davies, MJ 2010, 'Screening for the metabolic syndrome using simple anthropometric measurements in south Asian and white Europeans: A population-based screening study. The Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) Study', Primary Care Diabetes, vol. 4, no. 1, pp. 25-32. https://doi.org/10.1016/j.pcd.2010.01.002

APA

Khunti, K., Taub, N., Tringham, J., Jarvis, J., Farooqi, A., Skinner, T. C., & Davies, M. J. (2010). Screening for the metabolic syndrome using simple anthropometric measurements in south Asian and white Europeans: A population-based screening study. The Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) Study. Primary Care Diabetes, 4(1), 25-32. https://doi.org/10.1016/j.pcd.2010.01.002

Vancouver

Khunti K, Taub N, Tringham J, Jarvis J, Farooqi A, Skinner TC et al. Screening for the metabolic syndrome using simple anthropometric measurements in south Asian and white Europeans: A population-based screening study. The Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) Study. Primary Care Diabetes. 2010 Apr 1;4(1):25-32. https://doi.org/10.1016/j.pcd.2010.01.002

Author

Khunti, Kamlesh ; Taub, Nick ; Tringham, Jennifer ; Jarvis, Janet ; Farooqi, Azhar ; Skinner, T. Chas ; Davies, Melanie J. / Screening for the metabolic syndrome using simple anthropometric measurements in south Asian and white Europeans : A population-based screening study. The Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) Study. In: Primary Care Diabetes. 2010 ; Vol. 4, No. 1. pp. 25-32.

Bibtex

@article{e78beb4694fa45eead3e7d53588f7d12,
title = "Screening for the metabolic syndrome using simple anthropometric measurements in south Asian and white Europeans: A population-based screening study. The Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) Study",
abstract = "Aims: To estimate the prevalence of metabolic syndrome in a general population sample of south Asians and white Europeans and compare predictors of metabolic syndrome, using ethnic specific definitions of obesity. Methods: 3099 participants (71.4{\%} white European, 28.6{\%} south Asian) aged 40-75 years were screened using a 75 g oral glucose tolerance test. Metabolic syndrome was defined using National Cholesterol Education Programme and International Diabetes Federation definitions. We compared sensitivity, specificity and area under the curve of waist circumference, body mass index and waist-hip ratio. Results: The prevalence of metabolic syndrome using the definitions above was 29.9{\%} (29.2{\%} south Asian, 30.2{\%} white European), and 34.4{\%} (34.2{\%} south Asian, 34.5{\%} white European), respectively. Using the National Cholesterol Education Programme definition, waist circumference was significantly more predictive of metabolic syndrome than body mass index or waist-hip ratio. The area under the curve for waist circumference was 0.75 (95{\%} CI: 0.69-0.80) and 0.76 (0.72-0.81) for south Asian men and women; 0.83 (0.80-0.85) and 0.80 (0.77-0.82) for white European men and women. Conclusions: The prevalence of metabolic syndrome is high in both south Asian and white European populations. Waist circumference is a simple and effective measure for predicting metabolic syndrome in different populations.",
keywords = "Anthropometry, Ethnicity, Metabolic syndrome, Screening, Waist circumference",
author = "Kamlesh Khunti and Nick Taub and Jennifer Tringham and Janet Jarvis and Azhar Farooqi and Skinner, {T. Chas} and Davies, {Melanie J.}",
year = "2010",
month = "4",
day = "1",
doi = "10.1016/j.pcd.2010.01.002",
language = "English",
volume = "4",
pages = "25--32",
journal = "Primary Care Diabetes",
issn = "1751-9918",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Screening for the metabolic syndrome using simple anthropometric measurements in south Asian and white Europeans

T2 - A population-based screening study. The Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) Study

AU - Khunti, Kamlesh

AU - Taub, Nick

AU - Tringham, Jennifer

AU - Jarvis, Janet

AU - Farooqi, Azhar

AU - Skinner, T. Chas

AU - Davies, Melanie J.

PY - 2010/4/1

Y1 - 2010/4/1

N2 - Aims: To estimate the prevalence of metabolic syndrome in a general population sample of south Asians and white Europeans and compare predictors of metabolic syndrome, using ethnic specific definitions of obesity. Methods: 3099 participants (71.4% white European, 28.6% south Asian) aged 40-75 years were screened using a 75 g oral glucose tolerance test. Metabolic syndrome was defined using National Cholesterol Education Programme and International Diabetes Federation definitions. We compared sensitivity, specificity and area under the curve of waist circumference, body mass index and waist-hip ratio. Results: The prevalence of metabolic syndrome using the definitions above was 29.9% (29.2% south Asian, 30.2% white European), and 34.4% (34.2% south Asian, 34.5% white European), respectively. Using the National Cholesterol Education Programme definition, waist circumference was significantly more predictive of metabolic syndrome than body mass index or waist-hip ratio. The area under the curve for waist circumference was 0.75 (95% CI: 0.69-0.80) and 0.76 (0.72-0.81) for south Asian men and women; 0.83 (0.80-0.85) and 0.80 (0.77-0.82) for white European men and women. Conclusions: The prevalence of metabolic syndrome is high in both south Asian and white European populations. Waist circumference is a simple and effective measure for predicting metabolic syndrome in different populations.

AB - Aims: To estimate the prevalence of metabolic syndrome in a general population sample of south Asians and white Europeans and compare predictors of metabolic syndrome, using ethnic specific definitions of obesity. Methods: 3099 participants (71.4% white European, 28.6% south Asian) aged 40-75 years were screened using a 75 g oral glucose tolerance test. Metabolic syndrome was defined using National Cholesterol Education Programme and International Diabetes Federation definitions. We compared sensitivity, specificity and area under the curve of waist circumference, body mass index and waist-hip ratio. Results: The prevalence of metabolic syndrome using the definitions above was 29.9% (29.2% south Asian, 30.2% white European), and 34.4% (34.2% south Asian, 34.5% white European), respectively. Using the National Cholesterol Education Programme definition, waist circumference was significantly more predictive of metabolic syndrome than body mass index or waist-hip ratio. The area under the curve for waist circumference was 0.75 (95% CI: 0.69-0.80) and 0.76 (0.72-0.81) for south Asian men and women; 0.83 (0.80-0.85) and 0.80 (0.77-0.82) for white European men and women. Conclusions: The prevalence of metabolic syndrome is high in both south Asian and white European populations. Waist circumference is a simple and effective measure for predicting metabolic syndrome in different populations.

KW - Anthropometry

KW - Ethnicity

KW - Metabolic syndrome

KW - Screening

KW - Waist circumference

UR - http://www.scopus.com/inward/record.url?scp=77949293355&partnerID=8YFLogxK

U2 - 10.1016/j.pcd.2010.01.002

DO - 10.1016/j.pcd.2010.01.002

M3 - Journal article

C2 - 20129838

AN - SCOPUS:77949293355

VL - 4

SP - 25

EP - 32

JO - Primary Care Diabetes

JF - Primary Care Diabetes

SN - 1751-9918

IS - 1

ER -

ID: 189875109