- Open Access
Appropriate waist circumference cut points for identifying insulin resistance in black youth: a cross sectional analysis of the 1986 Jamaica birth cohort
© Tulloch-Reid et al; licensee BioMed Central Ltd. 2010
- Received: 7 June 2010
- Accepted: 7 December 2010
- Published: 7 December 2010
While the International Diabetes Federation (IDF) has ethnic specific waist circumference (WC) cut-points for the metabolic syndrome for Asian populations it is not known whether the cut-points for black populations should differ from those for European populations. We examined the validity of IDF WC cut points for identifying insulin resistance (IR), the underlying cause of the metabolic syndrome, in predominantly black, young Jamaican adults.
Participants from a 1986 birth cohort were evaluated between 2005 and 2007 when they were 18-20 years old. Trained observers took anthropometric measurements and collected a fasting blood sample. IR was assessed using the homeostasis model assessment computer programme (HOMA-IR). Sex specific quartiles for IR were generated using HOMA-IR values and participants in the highest quartile were classified as "insulin resistant". Receiver operator characteristic (ROC) curves were used to estimate the best WC to identify insulin resistance. The sensitivity and specificity of these values were compared with the IDF recommended WC cut-points.
Data from 707 participants (315 males; 392females) were analysed. In both sexes those with IR were more obese, had higher mean systolic blood pressure, glucose and triglycerides and lower mean HDL cholesterol. The WC was a good predictor of IR with an ROC area under the curve (95% CI) of 0.71(0.64,0.79) for men and 0.72(0.65,0.79) for women. Using the Youden Index (J) the best WC cut point for identifying IR in male participants was 82 cm (sensitivity 45%, specificity 93%, J 0.38) while the standard cut point of 94 cm had a sensitivity of 14% and specificity of 98% (J 0.12). In the female participants 82 cm was also a good cut point for identifying IR (sensitivity 52%, specificity 87%, J 0.39) and was similar to the standard IDF 80 cm cut point (sensitivity 53%, specificity 82%, J 0.35).
The WC that identified IR in young black men is lower than the IDF recommended WC cut point. Sex differences in WC cut points for identifying IR were less marked in this population than in other ethnic groups.
- Insulin Resistance
- Metabolic Syndrome
- Waist Circumference
- International Diabetes Federation
- Youden Index
Insulin resistance is thought to be the underlying mechanism through which persons develop type 2 diabetes, dyslipidemia and coronary heart disease  and when present clusters with other cardiovascular risk factors . Direct measurement of insulin resistance is difficult and therefore in order to help clinicians identify persons who might be insulin resistant a clinically defined entity - the metabolic syndrome - was first proposed by the World Health Organization (WHO) . Subsequently the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) and the European Group for the Study of Insulin Resistance (EGIR) formulated their definitions of the syndrome [4, 5]. In 2005 the International Diabetes Federation (IDF) proposed a definition of the Metabolic Syndrome that took ethnic differences in waist circumference cut points and additional epidemiologic data into consideration. Despite their differences all recent definitions of the metabolic syndrome have included the same components - glucose intolerance, dyslipidemia (high triglycerides, low HDL-cholesterol), hypertension/elevated blood pressure and central obesity measured using waist circumference.
Central obesity is considered by some to be the factor that drives insulin resistance and the eventual development of metabolic syndrome . In the last few years there has been a worldwide increase in the prevalence of obesity, which includes youth . It is therefore important to develop criteria for central obesity that can identify insulin resistant youth so that preventive measures can be taken before they develop complications of this condition.
The IDF has proposed a definition of the metabolic syndrome in youth for this purpose . It has recommend the use of the Europoid adult criteria in those 16 years and older, regardless of ethnicity, until additional evidence is available to suggest otherwise. These criteria (a waist circumference equal to or greater than 94 cm in men and 80 cm in women) are based on data from a middle aged European population . The appropriateness of this recommendation in middle-aged Black populations is questionable [9–12]. We are not aware of any studies which have examined this issue in young black adults.
The aim of this study was to identify optimum waist circumference cut-points to identify IR among black young adults and to assess the validity of current IDF waist circumference cut points for identifying IR and components of the metabolic syndrome in young black youth.
The 1986 Birth Cohort Study consists of a subset of participants from the Jamaican Perinatal Morbidity and Mortality Survey which studied all births in Jamaica during the months of September and October 1986. The details of this study have been described previously . A subset of the cohort was evaluated between 2005 and 2007 when they were between 18 and 20 years old. Participants residing in three parishes in Jamaica (Kingston and St. Andrew or St. Catherine) were identified from contact information at a follow up visit at age 15-16years, newspaper advertisements and visits to their last known address. Approval for the study was obtained from The University of the West Indies Ethics Committee. All subjects were evaluated at the Tropical Medicine Research Institute after a 10 hour fast. Written informed consent was obtained from each participant at the time of their visit to the Institute.
Trained nurses performed the anthropometric and blood pressure measurements. Weight was measured to the nearest 0.1 kg with an electronic digital scale (Tanita HD-316, Japan). Height was measured to the nearest 0.1 cm using a portable height measurement rod. Waist circumference was measured to the nearest 0.1 cm using a non-stretchable tape at the narrowest circumference between the lowest rib and the anterior superior iliac crest. Sitting blood pressure was measured with a mercury sphygmomanometer to the nearest 2 mm Hg using the first (systolic) and fifth (diastolic) Korotkoff phases using a standardized protocol . Three measurements were taken at 1-minute intervals after the participant had been seated for five minutes and the mean of the last two readings was used for the analysis.
The fasting blood specimens were collected in plain, fluoridated and heparinized tubes by the research nurses and processed and stored as appropriate at the Tropical Medicine Research Institute Laboratory within three hours of collection. Insulin was measured using a chemiluminesent immunometric assay (Immulite, Diagnostic Products Corporation, Los Angeles, CA) from a serum sample. The assay had an analytical sensitivity of 13.9 pmol/L, little cross reaction with pro-insulin and the intra-assay coefficient of variation was < 8.0%. Plasma glucose was measured using the glucose oxidase method (Alcyon). Insulin resistance (HOMA-IR) was assessed using homeostasis model assessment computer programme HOMA2 (from the Oxford University Diabetes Trials Unit Website at http://www.dtu.ox.ac.uk/homa) incorporating the fasting insulin and glucose values. Higher values of HOMA-IR corresponded to more severe insulin resistance . Total cholesterol, HDL-cholesterol and triglycerides were measured directly (Abbot Spectrum) and LDL-cholesterol calculated using the Friedewald equation .
Subjects were defined as having IR if they were in the highest sex specific fasting HOMA quartile - an approach taken by the EGIR for defining hyperinsulinemia . Comparisons of continuous variables between insulin resistant and non-insulin resistant subjects by sex were made using the Student's t test or Wilcoxon Rank Sum Test for variables that were not normally distributed. Sex specific Receiver Operating Characteristic (ROC) curves were used to estimate sensitivity and specificity of different waist circumference values to identify participants with IR. Sensitivity and specificity were computed assuming that each variable was positively related to the presence of insulin resistance. The ROC Curves were then used to determine the cut point with the highest sensitivity and specificity for identifying insulin resistance in each sex. For each waist circumference cut point the Youden Index (J ) was also calculated to confirm that this was the optimal cut point. The Youden Index is calculated as the (sensitivity + specificity) - 1 and ranges from 0 and 1 . The optimal cut point occurs where the J value is closest to 1. The Youden index has been demonstrated to be an optimal means of selecting cut points and in some instances may be preferred to visual identification of the optimal cut point from the ROC curve . The sensitivity and specificity of the IDF waist circumference cut points for identifying insulin resistance were also determined.
The ability of the waist circumference to identify young adults with the other components of the metabolic syndrome - low HDL cholesterol (< 1.0 mmol/L in men and 1.3 mmol/L in women), high triglycerides (> 1.7 mmol/L), high glucose (> 5.6 mmol/L) and elevated blood pressure (systolic BP >130 mmHg and/or diastolic BP >85 mmHg) was also assessed. The sensitivity and specificity of the study derived waist circumference cut points for identifying these components were then compared with the sex specific IDF waist circumference cut points.
Analysis was performed using Stata 8.0 (Stata Corporation, College Station TX).
Characteristics of the study population by sex and insulin resistance category (highest sex-specific HOMA-IR quartile)
(n = 74)
(n = 241)
(n = 81)
(n = 311)
19.3 ± 0.5
19.3 ± 0.5
19.3 ± 0.5
19.4 ± 0.5
Systolic Blood Pressure (mmHg)a, d
115 ± 11
113 ± 10
110 ± 8
107 ± 8
Diastolic Blood Pressure (mmHg)
71 ± 10
69 ± 11
67 ± 9
67 ± 9
Body Mass Index (kg/m2)b, d
25.5 ± 6.3
21.7 ± 3.1
27.5 ± 7.5
22.1 ± 4.5
Waist Circumference (cm)b, d
80 ± 14
73 ± 9
83 ± 16
71 ± 10
Fasting glucose (mmol/L)b, d
4.9 ± 0.5
4.7 ± 0.4
4.6 ± 0.4
4.4 ± 0.4
Total Cholesterol (mmol/L)b
4.4 ± 1.0
4.0 ± 0.7
4.4 ± 0.9
4.5 ± 0.8
HDL-cholesterol (mmol/L)a, d
1.1 ± 0.2
1.2 ± 0.3
1.2 ± 0.3
1.3 ± 0.3
Triglycerides (mmol/L)b, c
0.7 ± 0.4
0.6 ± 0.2
0.6 ± 0.3
0.5 ± 0.2
3.0 ± 0.9
2.6 ± 0.7
3.0 ± 0.9
2.9 ± 0.7
1.2 (1.1, 1.5)
0.6 (0.5, 0.7)
1.8 (1.5, 2.0)
0.8 (0.6, 1.0)
Sensitivity and Specificity of study-derived and IDF recommended waist circumference cut points for identifying insulin resistance in male and female young black adults
Youden Index (J)
Study derived (82 cm)
IDF Standard (94 cm)
Study derived (82 cm)
IDF Standard (80 cm)
Sensitivity and Specificity of the study-derived and IDF waist circumference cut points for identifying components of the Metabolic Syndrome by sex.
(n = 315)
(n = 392)
Proportion affected (%)
IDF 94 cm cut point
82 cm cut point
Proportion affected (%)
IDF 80 cm cut point
82 cm cut point
Elevated blood pressure (> 130/85)
Low HDL cholesterol (< 1.3 mmol/L women or <1.1 mmol/L men)
Elevated fasting glucose
(> 5.6 mmol/L)
Elevated fasting triglycerides (> 1.7 mmol/L)
In this study of predominantly black young adults the IDF waist circumference failed to identify the majority of male subjects with insulin resistance measured by HOMA-IR. The optimal cut point of 82 cm derived from the study was much lower than that proposed by the IDF in men suggesting the need to lower this value to improve the sensitivity to identify those with metabolic abnormalities. The IDF criteria performed much better in the female participants and were very similar to those derived from this study. Unlike other populations the study derived cut-points for waist circumference to identify insulin resistance were similar in young black men and women.
There are limited data on ideal cut points for the identification of insulin resistant persons of African decent. In a cross sectional study of black populations in Cameroon, Nigeria, Jamaica, St. Lucia and Barbados the waist circumference cut points for identifying persons with hypertension were lower than the IDF criteria and sex differences in these cut points were not as large as for other populations . In a subsequent cohort study of middle aged Jamaicans a waist circumference of 88 cm in men and 84.5 cm in women was found to be the optimal cut points for predicting incident diabetes . A cross sectional analysis of US adults using NHANES data demonstrated racial differences in the waist circumference cut points that correspond to a BMI of 25 kg/m2, - the basis of the cut points used to identify those with metabolic abnormalities. In the Black Americans the waist circumferences corresponding to a BMI of 25 kg/m2 were 86.4 cm in men and 83.5 cm in women compared with 91.3 cm and 83.4 cm in White American men and women respectively . While the waist circumference corresponding to a BMI of 25 kg/m2 was about 5-6 cm higher in white men compared to black men, there was no significant racial difference in the waist circumference corresponding to a BMI of 25 kg/m2 in the women. These studies suggest the need for additional data to develop more appropriate cut points for Black populations which may differ by age and sex. Similar to the findings of this study the sex differences in the waist circumference cut points among blacks in all three studies were not pronounced.
The IDF criteria for the diagnosis of the metabolic syndrome in adolescents was an attempt to standardize how the disease was defined in younger populations worldwide. Unlike the criteria for adults no consideration has been given to racial differences in the waist circumference that confer additional risk. Our data suggests the need for lower cut points in young black populations compared to middle-aged European populations in order to identify those with insulin resistance.
The study derived waist circumference cut point in men improved sensitivity for detecting insulin resistant young adults, however the sensitivity still remained low. In both men and women the study derived waist circumference cut point identified only about half of those who were insulin resistant. A lower cut point could be considered but this would reduce the specificity of the measurement and could result in unnecessary expenditure in assessment and treatment of young adults who are not at higher risk of complications. The final decision on the waist circumference cut point used by any health system should ultimately be determined by the available human, infrastructural and economic resources.
The low sensitivity of waist circumference for identifying insulin resistant young black men and women suggests that central obesity may need to be combined with other abnormalities to improve the ability to identify those with this condition. Our findings support the recent recommendation by the IDF that abdominal obesity should no longer be a prerequisite for the diagnosis of metabolic syndrome but one of several abnormalities that constitute the metabolic syndrome .
The waist circumference was better than chance in identifying low HDL-cholesterol in both sexes and elevated triglycerides only in men. Waist circumference was not better than chance in identifying the other components of the metabolic syndrome. This may have been a result of the low prevalence of some of these abnormalities. For example elevated fasting glucose and elevated triglycerides were present in less than 2 percent of the population. The study also highlights the differences in the metabolic abnormalities in Caribbean black populations which are typically characterized by a high prevalence of "low" HDL-cholesterol and a low prevalence of elevated triglycerides [21, 22].
This study had some limitations. In this analysis we utilized a HOMA-IR score derived from a computer program as the method for the measurement of insulin resistance  and not insulin resistance measured by clamp or insulin sensitivity by the minimal model. The model used in the HOMA-IR calculation was derived from non-linear empirical equations producing an algebraic solution and this is more accurate than measurements derived graphically or from simple mathematical approximations.
As there is no standardized definition of insulin resistance we used the distribution of the HOMA-IR scores from the population to define insulin resistance and classified those in the highest HOMA-IR sex specific quartile as insulin resistant. As a consequence the absolute definition of insulin resistance is likely to differ from that used for middle-aged populations and this may influence the definition of waist cut-points. The decision to define insulin resistance this way was based on the approach taken by the EGIR to define hyperinsulinemia as being in the top quartile of fasting insulin values in a non-diabetic population . We tested differing definitions of insulin resistance based on the HOMA-IR. Defining those in the top tertile, quintile or decile as insulin resistant did not affect the findings from the analysis. Additionally the sample consisted of young adults and it may not be appropriate to extrapolate our findings to older individuals.
In this cross sectional analysis of a young adult population the ability of these waist circumference cut points to predict more established outcomes of insulin resistance such as coronary disease could not be assessed. If we are able to re-examine this cohort, data on intermediate outcomes of cardiovascular disease such as carotid intima-media thickness or endothelial reactivity can also be collected. We are not aware of any other studies of black youth from the Caribbean (a region that is currently undergoing the epidemiologic transition) with detailed laboratory measurement of metabolic abnormalities and insulin resistance.
The IDF waist circumference criteria have poor sensitivity to identify insulin resistance in young black men but perform better among young black women. From our data a waist circumference of 82 cm could potentially be used to identify insulin resistance and some metabolic abnormalities in both young Jamaican men and women.
We thank the participants from the 1986 Birth Cohort, the project nurses and the staff of the Epidemiology Research Unit. This project was funded by The Caribbean Cardiac Society, The Caribbean Health Research Council, The National Health Fund and The CHASE Fund.
- Reaven GM: Banting lecture 1988. Role of insulin resistance in human disease. Diabetes. 1988, 37: 1595-1607. 10.2337/diabetes.37.12.1595.View ArticlePubMedGoogle Scholar
- Eckel RH, Grundy SM, Zimmet PZ: The metabolic syndrome. Lancet. 2005, 365: 1415-1428. 10.1016/S0140-6736(05)66378-7.View ArticlePubMedGoogle Scholar
- Alberti KG, Zimmet PZ: Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998, 15: 539-553. 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S.View ArticlePubMedGoogle Scholar
- Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA. 2001, 285: 2486-2497. 10.1001/jama.285.19.2486.Google Scholar
- Balkau B, Charles MA: Comment on the provisional report from the WHO consultation. European Group for the Study of Insulin Resistance (EGIR). Diabet Med. 1999, 16: 442-443. 10.1046/j.1464-5491.1999.00059.x.View ArticlePubMedGoogle Scholar
- Alberti KG, Zimmet P, Shaw J: The metabolic syndrome--a new worldwide definition. Lancet. 2005, 366: 1059-1062. 10.1016/S0140-6736(05)67402-8.View ArticlePubMedGoogle Scholar
- Zimmet P, Alberti G, Kaufman F, Tajima N, Silink M, Arslanian S, Wong G, Bennett P, Shaw J, Caprio S: The metabolic syndrome in children and adolescents. Lancet. 2007, 369: 2059-2061. 10.1016/S0140-6736(07)60958-1.View ArticlePubMedGoogle Scholar
- Low S, Chin MC, Deurenberg-Yap M: Review on epidemic of obesity. Ann Acad Med Singapore. 2009, 38: 57-59.PubMedGoogle Scholar
- Sargeant LA, Bennett FI, Forrester TE, Cooper RS, Wilks RJ: Predicting incident diabetes in Jamaica: the role of anthropometry. Obes Res. 2002, 10: 792-798. 10.1038/oby.2002.107.View ArticlePubMedGoogle Scholar
- Sumner AE, Sen S, Ricks M, Frempong BA, Sebring NG, Kushner H: Determining the waist circumference in african americans which best predicts insulin resistance. Obesity (Silver Spring). 2008, 16: 841-846. 10.1038/oby.2008.11.View ArticleGoogle Scholar
- 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: 409-415.PubMedGoogle Scholar
- Bouguerra R, Alberti H, Smida H, Salem LB, Rayana CB, El Atti J, Achour A, Gaigi S, Slama CB, Zouari B, Alberti KG: Waist circumference cut-off points for identification of abdominal obesity among the tunisian adult population. Diabetes Obes Me tab. 2007, 9: 859-868. 10.1111/j.1463-1326.2006.00667.x.View ArticleGoogle Scholar
- Ashley D, McCaw-Binns A, Foster-Williams K: The perinatal morbidity and mortality survey of Jamaica 1986-1987. Paediatr Perinat Epidemiol. 1988, 2: 138-147. 10.1111/j.1365-3016.1988.tb00194.x.View ArticlePubMedGoogle Scholar
- Ataman SL, Cooper R, Rotimi C, McGee D, Osotimehin B, Kadiri S, Kadiri S, Kingue S, Muna W, Fraser H, Forrester T, Wilks R: Standardization of blood pressure measurement in an international comparative study. J Clin Epidemiol. 1996, 49: 869-877. 10.1016/0895-4356(96)00111-4.View ArticlePubMedGoogle Scholar
- Levy JC, Matthews DR, Hermans MP: Correct homeostasis model assessment (HOMA) evaluation uses the computer program. Diabetes Care. 1998, 21: 2191-2192. 10.2337/diacare.21.12.2191.View ArticlePubMedGoogle Scholar
- Friedewald WT, Levy RI, Fredrickson DS: Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972, 18: 499-502.PubMedGoogle Scholar
- Youden WJ: Index for rating diagnostic tests. Cancer. 1950, 3: 32-35. 10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3.View ArticlePubMedGoogle Scholar
- Perkins NJ, Schisterman EF: The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. Am J Epidemiol. 2006, 163: 670-675. 10.1093/aje/kwj063.PubMed CentralView ArticlePubMedGoogle Scholar
- Okosun IS, Rotimi CN, Forrester TE, Fraser H, Osotimehin B, Muna WF, Cooper RS: Predictive value of abdominal obesity cut-off points for hypertension in blacks from west African and Caribbean island nations. Int J Obes Relat Metab Disord. 2000, 24: 180-186. 10.1038/sj.ijo.0801104.View ArticlePubMedGoogle Scholar
- Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC: 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: 1640-1645. 10.1161/CIRCULATIONAHA.109.192644.View ArticlePubMedGoogle Scholar
- Ferguson TS, Tulloch-Reid MK, Younger NO, Knight-Madden JM, Samms-Vaughan M, Ashley D, Van den Broeck J, Wilks RJ: Prevalence of the metabolic syndrome and its components in relation to socioeconomic status among Jamaican young adults: a cross-sectional study. BMC Public Health. 2010, 10: 307-10.1186/1471-2458-10-307.PubMed CentralView ArticlePubMedGoogle Scholar
- Ferguson TS, Younger N, Tulloch-Reid MK, Forrester TE, Cooper RS, Van den Broeck J, Wilks RJ: Prevalence of the Metabolic Syndrome in Jamaican Adults and its Relationship to Income and Education Levels. West Indian Med J. 2010, 59: 265-273.PubMedGoogle Scholar
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