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Published in: Diabetology & Metabolic Syndrome 1/2018

Open Access 01-12-2018 | Research

Optimal cut-off points for waist circumference in the definition of metabolic syndrome in Brazilian adults: baseline analyses of the Longitudinal Study of Adult Health (ELSA-Brasil)

Authors: Thiane Ristow Cardinal, Alvaro Vigo, Bruce Bartholow Duncan, Sheila Maria Alvim Matos, Maria de Jesus Mendes da Fonseca, Sandhi Maria Barreto, Maria Inês Schmidt

Published in: Diabetology & Metabolic Syndrome | Issue 1/2018

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Abstract

Background

Waist circumference (WC) has been incorporated in the definition of the metabolic syndrome (MetS) but the exact WC cut-off points across populations are not clear. The Joint Interim Statement (JIS) suggested possible cut-offs to different populations and ethnic groups. However, the adequacy of these cut-offs to Brazilian adults has been scarcely investigated. The objective of the study is to evaluate possible WC thresholds to be used in the definition of MetS using data from the Longitudinal Study of Adult Health (ELSA-Brasil), a multicenter cohort study of civil servants (35–74 years old) of six Brazilian cities.

Methods

We analyzed baseline data from 14,893 participants (6772 men and 8121 women). A MetS was defined according to the JIS criteria, but excluding WC and thus requiring 2 of the 4 remaining elements. We used restricted cubic spline regression to graph the relationship between WC and MetS. We identified optimal cut-off points which maximized joint sensitivity and specificity (Youden’s index) from Receiver Operator Characteristic Curves. We also estimated the C-statistics using logistic regression.

Results

We found no apparent threshold for WC in restricted cubic spline plots. Optimal cut-off for men was 92 cm (2 cm lower than that recommended by JIS for Caucasian/Europids or Sub-Saharan African men), but 2 cm higher than that recommended for ethnic Central and South American. For women, optimal cut-off was 86, 6 cm higher than that recommended for Caucasian/Europids and ethnic Central and South American. Optimal cut-offs did not very across age groups and most common race/color categories (except for Asian men, 87 cm).

Conclusions

Sex-specific cut-offs for WC recommended by JIS differ from optimal cut-offs we found for adult men and women of Brazil´s most common ethnic groups.
Literature
1.
go back to reference Grundy SM. Metabolic syndrome: a multiplex cardiovascular risk factor. J Clin Endocrinol Metab. 2007;92:399–404.CrossRefPubMed Grundy SM. Metabolic syndrome: a multiplex cardiovascular risk factor. J Clin Endocrinol Metab. 2007;92:399–404.CrossRefPubMed
3.
go back to reference NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet. 1975;2016(387):1377–96. NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet. 1975;2016(387):1377–96.
4.
go back to reference Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organization. Technical Report Series No. 854. 1995. p. 1–452. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organization. Technical Report Series No. 854. 1995. p. 1–452.
5.
go back to reference Alberti KGMM, Zimmet P, Shaw J. Metabolic syndrome—a new world-wide definition. A consensus statement from the international diabetes federation. Diabet Med. 2006;23:469–80.CrossRefPubMed Alberti KGMM, Zimmet P, Shaw J. Metabolic syndrome—a new world-wide definition. A consensus statement from the international diabetes federation. Diabet Med. 2006;23:469–80.CrossRefPubMed
6.
go back to reference World Health Organization. WHO STEPwise approach to surveillance (STEPS). Geneva: World Health Organization; 2008. World Health Organization. WHO STEPwise approach to surveillance (STEPS). Geneva: World Health Organization; 2008.
7.
go back to reference Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120:1640–5.CrossRefPubMed Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120:1640–5.CrossRefPubMed
8.
go back to reference Aquino EML, Barreto SM, Bensenor IM, Carvalho MS, Chor D, Duncan BB, et al. Brazilian longitudinal study of adult health (ELSA-Brasil): objectives and design. Am J Epidemiol. 2012;175:315–24.CrossRefPubMed Aquino EML, Barreto SM, Bensenor IM, Carvalho MS, Chor D, Duncan BB, et al. Brazilian longitudinal study of adult health (ELSA-Brasil): objectives and design. Am J Epidemiol. 2012;175:315–24.CrossRefPubMed
9.
go back to reference Schmidt MI, Duncan BB, Mill JG, Lotufo PA, Chor D, Barreto SM, et al. Cohort profile: longitudinal study of adult health (ELSA-Brasil). Int J Epidemiol. 2015;44:68–75.CrossRefPubMed Schmidt MI, Duncan BB, Mill JG, Lotufo PA, Chor D, Barreto SM, et al. Cohort profile: longitudinal study of adult health (ELSA-Brasil). Int J Epidemiol. 2015;44:68–75.CrossRefPubMed
10.
go back to reference Bensenor IM, Griep RH, Pinto KA, de Faria CP, Felisbino-Mendes M, Caetano EI, et al. Routines of organization of clinical tests and interviews in the ELSA-Brasil investigation center. Rev Saúde Pública. 2013;47(Suppl 2):37–47.CrossRefPubMed Bensenor IM, Griep RH, Pinto KA, de Faria CP, Felisbino-Mendes M, Caetano EI, et al. Routines of organization of clinical tests and interviews in the ELSA-Brasil investigation center. Rev Saúde Pública. 2013;47(Suppl 2):37–47.CrossRefPubMed
11.
go back to reference Schmidt MI, Griep RH, Passos VM, Luft VC, Goulart AC, de Menezes GMS, et al. Strategies and development of quality assurance and control in the ELSA-Brasil. Rev Saúde Pública. 2013;47(Suppl 2):105–12.CrossRefPubMed Schmidt MI, Griep RH, Passos VM, Luft VC, Goulart AC, de Menezes GMS, et al. Strategies and development of quality assurance and control in the ELSA-Brasil. Rev Saúde Pública. 2013;47(Suppl 2):105–12.CrossRefPubMed
12.
go back to reference Mill JG, Pinto K, Griep RH, Goulart A, Foppa M, Lotufo PA, et al. Medical assessments and measurements in ELSA-Brasil. Rev Saúde Pública. 2013;47(Suppl 2):54–62.CrossRefPubMed Mill JG, Pinto K, Griep RH, Goulart A, Foppa M, Lotufo PA, et al. Medical assessments and measurements in ELSA-Brasil. Rev Saúde Pública. 2013;47(Suppl 2):54–62.CrossRefPubMed
13.
go back to reference Fedeli LG, Vidigal PG, Leite CM, Castilhos CD, Pimentel RA, Maniero VC, et al. Logistics of collection and transportation of biological samples and the organization of the central laboratory in the ELSA-Brasil. Rev Saúde Pública. 2013;47(Suppl 2):63–71.CrossRefPubMed Fedeli LG, Vidigal PG, Leite CM, Castilhos CD, Pimentel RA, Maniero VC, et al. Logistics of collection and transportation of biological samples and the organization of the central laboratory in the ELSA-Brasil. Rev Saúde Pública. 2013;47(Suppl 2):63–71.CrossRefPubMed
15.
go back to reference Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29–36.CrossRefPubMed Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29–36.CrossRefPubMed
16.
go back to reference Wang Z, Ma J, Si D. Optimal cut-off values and population means of waist circumference in different populations. Nutr Res Rev. 2010;23:191–9.CrossRefPubMed Wang Z, Ma J, Si D. Optimal cut-off values and population means of waist circumference in different populations. Nutr Res Rev. 2010;23:191–9.CrossRefPubMed
17.
go back to reference Barbosa PJB, Lessa Í, Filho A, De N, Magalhães LBNC, Araújo J. Critério de obesidade central em população brasileira: impacto sobre a síndrome metabólica. Arq Bras Cardiol. 2006;87:407–14.CrossRefPubMed Barbosa PJB, Lessa Í, Filho A, De N, Magalhães LBNC, Araújo J. Critério de obesidade central em população brasileira: impacto sobre a síndrome metabólica. Arq Bras Cardiol. 2006;87:407–14.CrossRefPubMed
18.
go back to reference Ferreira MG, Valente JG, Gonçalves-Silva RMV, Sichieri R. Accuracy of waist circumference and waist-to-hip ratio as predictors of dyslipidemia in a cross-sectional study among blood donors in Cuiabá, Mato Grosso State, Brazil. Cad Saúde Pública. 2006;22:307–14.CrossRefPubMed Ferreira MG, Valente JG, Gonçalves-Silva RMV, Sichieri R. Accuracy of waist circumference and waist-to-hip ratio as predictors of dyslipidemia in a cross-sectional study among blood donors in Cuiabá, Mato Grosso State, Brazil. Cad Saúde Pública. 2006;22:307–14.CrossRefPubMed
19.
go back to reference Peixoto MDRG, Benício MHD, Latorre MDRDD, Jardim PCBV. Waist circumference and body mass index as predictors of hypertension. Arq Bras Cardiol. 2006;87:462–70.CrossRef Peixoto MDRG, Benício MHD, Latorre MDRDD, Jardim PCBV. Waist circumference and body mass index as predictors of hypertension. Arq Bras Cardiol. 2006;87:462–70.CrossRef
20.
go back to reference Picon PX, Leitão CB, Gerchman F, de Azevedo MJ, Silveiro SP, Gross JL, et al. Medida da cintura e razão cintura/quadril e identificação de situações de risco cardiovascular: estudo multicêntrico em pacientes com diabetes melito tipo 2. Arq Bras Endocrinol Amp Metabol. 2007;51:443–9.CrossRef Picon PX, Leitão CB, Gerchman F, de Azevedo MJ, Silveiro SP, Gross JL, et al. Medida da cintura e razão cintura/quadril e identificação de situações de risco cardiovascular: estudo multicêntrico em pacientes com diabetes melito tipo 2. Arq Bras Endocrinol Amp Metabol. 2007;51:443–9.CrossRef
21.
go back to reference de Almeida RT, de Almeida MMG, Araújo TM. Abdominal obesity and cardiovascular risk: performance of anthropometric indexes in women. Arq Bras Cardiol. 2009;92:375–80.CrossRef de Almeida RT, de Almeida MMG, Araújo TM. Abdominal obesity and cardiovascular risk: performance of anthropometric indexes in women. Arq Bras Cardiol. 2009;92:375–80.CrossRef
22.
go back to reference Gus M, Cichelero FT, Moreira CM, Escobar GF, Moreira LB, Wiehe M, et al. Waist circumference cut-off values to predict the incidence of hypertension: an estimation from a Brazilian population-based cohort. Nutr Metab Cardiovasc Dis NMCD. 2009;19:15–9.CrossRefPubMed Gus M, Cichelero FT, Moreira CM, Escobar GF, Moreira LB, Wiehe M, et al. Waist circumference cut-off values to predict the incidence of hypertension: an estimation from a Brazilian population-based cohort. Nutr Metab Cardiovasc Dis NMCD. 2009;19:15–9.CrossRefPubMed
23.
go back to reference Matos LN, de Giorelli GV, Dias CB. Correlation of anthropometric indicators for identifying insulin sensitivity and resistance. Sao Paulo Med J. 2011;129:30–5.CrossRefPubMed Matos LN, de Giorelli GV, Dias CB. Correlation of anthropometric indicators for identifying insulin sensitivity and resistance. Sao Paulo Med J. 2011;129:30–5.CrossRefPubMed
24.
go back to reference Gouveia L, de Marucci MFN, Lebrão ML, Duarte YAO. Association between waist circumference (WC) values and hypertension, heart disease (HD) and diabetes, reported by the elderly—SABE survey: health, wellness and aging, 2000 and 2006. Arch Gerontol Geriatr. 2014;59:62–8.CrossRefPubMed Gouveia L, de Marucci MFN, Lebrão ML, Duarte YAO. Association between waist circumference (WC) values and hypertension, heart disease (HD) and diabetes, reported by the elderly—SABE survey: health, wellness and aging, 2000 and 2006. Arch Gerontol Geriatr. 2014;59:62–8.CrossRefPubMed
25.
go back to reference de Oliveira A, Cocate PG, Hermsdorff HHM, Bressan J, de Silva MF, Rodrigues JA, et al. Waist circumference measures: cutoff analyses to detect obesity and cardiometabolic risk factors in a Southeast Brazilian middle-aged men population—a cross-sectional study. Lipids Health Dis. 2014;13:141.CrossRefPubMedPubMedCentral de Oliveira A, Cocate PG, Hermsdorff HHM, Bressan J, de Silva MF, Rodrigues JA, et al. Waist circumference measures: cutoff analyses to detect obesity and cardiometabolic risk factors in a Southeast Brazilian middle-aged men population—a cross-sectional study. Lipids Health Dis. 2014;13:141.CrossRefPubMedPubMedCentral
26.
go back to reference Vianna CA, da Silva Linhares R, Bielemann RM, Machado EC, González-Chica DA, Matijasevich AM, et al. Accuracy and adequacy of waist circumference cut-off points currently recommended in Brazilian adults. Public Health Nutr. 2014;17:861–9.CrossRefPubMed Vianna CA, da Silva Linhares R, Bielemann RM, Machado EC, González-Chica DA, Matijasevich AM, et al. Accuracy and adequacy of waist circumference cut-off points currently recommended in Brazilian adults. Public Health Nutr. 2014;17:861–9.CrossRefPubMed
27.
go back to reference Rodrigues SL, Baldo MP, Mill JG. Associação entre a razão cintura-estatura e hipertensão e síndrome metabólica: estudo de base populacional. Arq Bras Cardiol. 2010;95:186–91.CrossRefPubMed Rodrigues SL, Baldo MP, Mill JG. Associação entre a razão cintura-estatura e hipertensão e síndrome metabólica: estudo de base populacional. Arq Bras Cardiol. 2010;95:186–91.CrossRefPubMed
28.
go back to reference Alonso AL, Munguía-Miranda C, Ramos-Ponce D, Hernandez-Saavedra D, Kumate J, Cruz M. Waist perimeter cutoff points and prediction of metabolic syndrome risk. A study in a Mexican population. Arch Med Res. 2008;39:346–51.CrossRefPubMed Alonso AL, Munguía-Miranda C, Ramos-Ponce D, Hernandez-Saavedra D, Kumate J, Cruz M. Waist perimeter cutoff points and prediction of metabolic syndrome risk. A study in a Mexican population. Arch Med Res. 2008;39:346–51.CrossRefPubMed
29.
go back to reference Sánchez-Castillo CP, Velázquez-Monroy O, Berber A, Lara-Esqueda A, Tapia-Conyer R, James WPT, et al. Anthropometric cutoff points for predicting chronic diseases in the Mexican National Health Survey 2000. Obes Res. 2003;11:442–51.CrossRefPubMed Sánchez-Castillo CP, Velázquez-Monroy O, Berber A, Lara-Esqueda A, Tapia-Conyer R, James WPT, et al. Anthropometric cutoff points for predicting chronic diseases in the Mexican National Health Survey 2000. Obes Res. 2003;11:442–51.CrossRefPubMed
30.
go back to reference Hara K, Matsushita Y, Horikoshi M, Yoshiike N, Yokoyama T, Tanaka H, et al. A proposal for the cutoff point of waist circumference for the diagnosis of metabolic syndrome in the Japanese population. Diabetes Care. 2006;29:1123–4.CrossRefPubMed Hara K, Matsushita Y, Horikoshi M, Yoshiike N, Yokoyama T, Tanaka H, et al. A proposal for the cutoff point of waist circumference for the diagnosis of metabolic syndrome in the Japanese population. Diabetes Care. 2006;29:1123–4.CrossRefPubMed
31.
go back to reference Ogawa D, Kahara K, Shigematsu T, Fujii S, Hayakawa N, Okazaki M, et al. Optimal cut-off point of waist circumference for the diagnosis of metabolic syndrome in Japanese subjects. J Diabetes Invest. 2010;1:117–20.CrossRef Ogawa D, Kahara K, Shigematsu T, Fujii S, Hayakawa N, Okazaki M, et al. Optimal cut-off point of waist circumference for the diagnosis of metabolic syndrome in Japanese subjects. J Diabetes Invest. 2010;1:117–20.CrossRef
32.
go back to reference Fu S, Luo L, Ye P, Liu Y, Zhu B, Bai Y, et al. The abilities of new anthropometric indices in identifying cardiometabolic abnormalities, and influence of residence area and lifestyle on these anthropometric indices in a Chinese community-dwelling population. Clin Interv Aging. 2014;9:179–89.CrossRefPubMedPubMedCentral Fu S, Luo L, Ye P, Liu Y, Zhu B, Bai Y, et al. The abilities of new anthropometric indices in identifying cardiometabolic abnormalities, and influence of residence area and lifestyle on these anthropometric indices in a Chinese community-dwelling population. Clin Interv Aging. 2014;9:179–89.CrossRefPubMedPubMedCentral
33.
go back to reference Zhu S, Heymsfield SB, Toyoshima H, Wang Z, Pietrobelli A, Heshka S. Race-ethnicity-specific waist circumference cutoffs for identifying cardiovascular disease risk factors. Am J Clin Nutr. 2005;81:409–15.CrossRefPubMed Zhu S, Heymsfield SB, Toyoshima H, Wang Z, Pietrobelli A, Heshka S. Race-ethnicity-specific waist circumference cutoffs for identifying cardiovascular disease risk factors. Am J Clin Nutr. 2005;81:409–15.CrossRefPubMed
Metadata
Title
Optimal cut-off points for waist circumference in the definition of metabolic syndrome in Brazilian adults: baseline analyses of the Longitudinal Study of Adult Health (ELSA-Brasil)
Authors
Thiane Ristow Cardinal
Alvaro Vigo
Bruce Bartholow Duncan
Sheila Maria Alvim Matos
Maria de Jesus Mendes da Fonseca
Sandhi Maria Barreto
Maria Inês Schmidt
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Diabetology & Metabolic Syndrome / Issue 1/2018
Electronic ISSN: 1758-5996
DOI
https://doi.org/10.1186/s13098-018-0347-0

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