8: No. 3, May 2011
Sushma Sharma, PhD; Robert H. Lustig, MD; Sharon E. Fleming, PhD
Suggested citation for this article: Sharma S, Lustig RH, Fleming SE. Identifying metabolic syndrome in African American children using fasting HOMA-IR in place of glucose. Prev Chronic Dis 2011;8(2):A64.
http://www.cdc.gov/pcd/issues/2011/may/10_0036.htm. Accessed [date].
Metabolic syndrome (MetS) is increasing among young people. We compared the use of homeostasis model assessment of insulin resistance (HOMA-IR) with the use of fasting
blood glucose to identify MetS in African American children.
We performed a cross-sectional analysis of data from a sample of 105 children
(45 boys, 60 girls) aged 9 to 13 years with body mass indexes at or above the
85th percentile for age
and sex. Waist circumference, blood pressure, and fasting levels of
blood glucose, insulin, triglycerides, and high-density lipoprotein cholesterol were measured.
We found that HOMA-IR is a stronger indicator of MetS in children than blood
glucose. Using HOMA-IR as 1 of the 5 components, we found a 38% prevalence of
MetS in this sample of African American children and the proportion of false negatives decreased from 94% with
blood glucose alone to 13% with HOMA-IR. The prevalence of MetS was higher in obese than overweight children and higher among girls than boys.
Using HOMA-IR was preferred to fasting blood glucose because insulin resistance was more significantly interrelated with the other 4 MetS
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Metabolic syndrome (MetS) is a cluster of the most dangerous risk factors for type 2 diabetes
mellitus and cardiovascular disease
(CVD). Clinical diagnosis of MetS in adults includes the presence of at least 3 of 5 conditions: elevated triglycerides, low high-density lipoprotein cholesterol (HDL-C), high fasting
blood glucose, high blood pressure, and obesity (1). Many professional groups, including the World Health Organization,
National Cholesterol Education Program Expert Panel on
Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III), International Diabetes Federation (IDF),
the American Diabetes Association, and the American Heart Association have
offered definitions of MetS for adults, but these definitions cannot be used directly for children. Because MetS incidence is increasing rapidly (2), it is vital to identify MetS during childhood to prevent the progression to CVD and type 2
diabetes in adulthood. Laboratory screening of children for MetS can be an impractical approach, so efforts have been made to develop simple screening criteria to identify children who need further testing. Previous studies have modified the criteria for adults when investigating MetS prevalence in children and adolescents (3-7).
The recent IDF consensus definition for children has been built on these previously published definitions, using sex- and age-specific cut points (8). Even though
metabolic diseases may be influenced by race/ethnicity (9), the IDF did not consider racial/ethnic endpoints. Cut points specific to sex, age, and race/ethnicity for body mass index (BMI) and waist circumference (10) have been used to determine the prevalence of MetS in a sample of children aged 13 to 15 years, predominantly African American girls (11). The prevalence of MetS
in younger African American girls and in African American boys has not been
reported to our knowledge nor has there been a
comparison by sex. Being overweight is associated with higher incidence of MetS in adolescents (3,12), but few data are available regarding the prevalence of MetS specifically in overweight and obese African American children.
We aimed to 1) identify the prevalence of MetS in overweight and obese African American boys and girls
aged 9 to 13 years living in inner-city Oakland, California, 2) determine whether
the prevalence of MetS is higher in obese than in overweight African American children, and 3) compare the discriminating power of fasting
blood glucose concentration with that of the homeostasis model assessment of
insulin resistance (HOMA-IR) as MetS indicators in African American children.
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Of the 128 participants enrolled in the summer of 2007, a full set of data was available for 108 African American children who were part of
the Taking Action Together Study, a community-based lifestyle modification program to reduce the risk for type 2 diabetes (described more fully elsewhere) (13; http://clinicaltrials.gov/ct2/NCT01039116). Study participants were recruited by distributing pamphlets at local recreational sites and schools in inner-city Oakland. Recruitment targeted African American children with
a BMI at
or above the 85th percentile. Exclusion criteria were being 8 years of age or younger, being 14 years of age or older, having fasting
blood glucose ≥120 mg/dL, having any known metabolic disease, and taking medications known to affect the study outcomes. Parental informed consent was obtained from all subjects, and all protocols were approved by the institutional review boards at the University of California
at Berkeley and the University of California at San Francisco. All participants were asked to report
to the Children’s Hospital and Research Center in Oakland, California, after an
overnight fast of at least 12 hours for blood sample collection.
Body weight and height were measured to the nearest 0.1 kg and 0.1 cm by using a digital electronic scale (BWB 800, Tanita, Japan) and a portable stadiometer, respectively. BMI, BMI percentiles, and BMI z
scores were generated by using an age- and sex-specific calculator program (www.cdc.gov/nccdphp/dnpa/growthcharts/resources/sas.htm). Researchers used a plastic, nonelastic measuring
tape to measure waist circumference just above the iliac crest with the child in the standing position. Measurements were taken twice and, if a difference of more than 0.4 cm was found between
measurements, a third measurement was taken and the mean calculated by using the closest 2 values.
Fasting blood samples were processed and analyzed by a commercial laboratory (LabCorp,
Burlington, North Carolina) for concentrations of HDL-C and triglycerides by
using the vertical auto profile cholesterol method (14). Pubertal development on
a 5-point scale was assessed by using previously determined serum concentration
cutoffs for luteinizing hormone and estradiol (15).
Blood glucose was determined by using the hexokinase-peroxidase method (Glucose HK-60
radioimmunoassay, Diagnostic Chemicals, Oxford, Connecticut). Fasting insulin
concentrations were determined by using enzyme immunoassay (Linco Research, Inc,
St. Charles, Missouri). Fasting blood glucose and insulin values were used to
calculate HOMA-IR, defined as fasting
blood glucose (mmol/L) × insulin (μIU/mL)/22.5, and used as an index of insulin resistance (13).
Blood pressure measurements
Blood pressure was measured between 9
am and noon. Measurements were repeated until 2 consecutive systolic and diastolic measurements agreed within 4 and 2 mm Hg, respectively. Measurements were
conducted twice at least 3 hours apart, and the second series of measurements was used for analyses. Values were converted to z scores (matched for age, height, and sex) by using regression equations developed and reported elsewhere (16).
Participants were defined as having MetS if they met the 3 or more of following criteria (4): triglycerides
of at least 100 mg/dL, HDL-C less than or equal to 50 mg/dL, fasting blood glucose of at
least 110 mg/dL (6.1 mmol/L),
waist circumference above the 75th percentile, and systolic or diastolic blood pressure
or both above the 90th percentile for age, sex, and height (10). Waist
circumference values for the 75th-percentile cutoff, when matched for age and
sex, were calculated by using regression equations developed specifically for
African American children (17). In some analyses, the blood glucose component of MetS was replaced with values for HOMA-IR, by using a cutoff of 2.5 as suggested previously for assessments of children (18). Throughout this article, the term MetSglucose is used to indicate cases using fasting
blood glucose of at least 110 mg/dL as 1 of the 5 components, MetSHOMA-IR is used to indicate cases using HOMA-IR
above 2.5 as 1 of the 5 components, and MetSglucose57 is used to indicate cases
by using fasting
blood glucose above the 57th percentile (87.7 mg/dL) as 1 of the 5 components.
A complete set of data was available for 108 of the 125 participants. These data were evaluated for skewedness and, if significant, Dixon’s test for outliers was used to identify unusual values. If unusual values were identified, all data for that participant were excluded from further analyses. Using Dixon’s test, we excluded data for 3 children, providing a final sample of 105
(45 boys and 60 girls). We analyzed differences in the characteristics of boys and girls, of overweight and obese groups,
and of cases compared with noncases by using independent 2-tailed t tests following Levene’s test for equality of variances for continuous variables and the χ2
test for dichotomized variables. Because the term MetS is used to describe a single concept and has been defined as a condition comprising at least 3 of 5 interrelated components, correlations among these components, including tests for internal consistency (Cronbach α) were used to compare reliability of
fasting blood glucose with HOMA-IR as 1 of the 5 MetS components.
Statistical procedures were performed using SPSS version 16.0 (SPSS, Inc, Chicago, Illinois). Statistical significance was set at P < .05.
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Overall, 17% of this sample (9% of boys and 23% of girls) was classified as
having MetSglucose because they had values that met the cutoff criteria defined previously by others for 3 or more components
(Table 1). In comparison
with overweight children (7% of boys and 14% of girls), obese children (10% of boys
and 25% of girls) had less favorable values for key health indicators.
A total of 9.5% of overweight children (7% of the boys and 14% of the girls) and 19%
of obese children (10% of the boys and 24% of the girls) were classified as having MetSglucose.
Children who were classified as having MetSglucose had a
significantly higher BMI percentile, waist circumference, triglycerides, insulin, systolic blood pressure, and HOMA-IR, and lower HDL-C
than those who were negative for MetSglucose
(Table 2). Fasting blood
glucose concentrations were not significantly different, however, for children
with MetSglucose. Of the 105 children, only 1 had a fasting blood glucose value that exceeded the cut point of 110 mg/dL. Because this participant had values for 4
components that met the MetSglucose criteria, this blood glucose cutoff, when applied to this population of children, resulted in 100% true positives, 0 false positives, and 100% true negatives
The corresponding HOMA-IR value was >11. Although specificity was 100%,
sensitivity was 6%, indicating that this component contributed little value for the purpose of diagnosing MetSglucose in this population.
Using HOMA-IR as 1 of the 5 components, we found a 38% prevalence of
MetS in this sample of African American children. Replacing the fasting blood glucose component of MetS with HOMA-IR at the cutoff of 2.5 suggested previously for overweight and obese children (18) increased the number of cases from 18 for MetSglucose to 40 for MetSHOMA-IR (Table 2). This HOMA-IR cutoff, when used to assess MetSHOMA-IR, resulted in more than 80% true positives and true negatives and less than 20% false positives and false negatives (Table 3). Specificity and sensitivity of HOMA-IR as a MetS component
were 83% and 88%, respectively. By using the MetSHOMA-IR
cutoffs, we found that 14% of the overweight children (7% of boys and
29% of girls) and 44% of obese children (29% of boys and 53% of girls)
were classified as having MetSHOMA-IR.
The fasting blood glucose concentration cutoff of 110 mg/dL was at the 99th percentile for this sample, whereas the HOMA-IR cutoff of 2.5 was at the 57th percentile. To more fairly compare the use of
fasting blood glucose with HOMA-IR as components of MetS, MetSglucose57 was determined by using as the
fifth component the 57th percentile for fasting blood glucose concentration in
this sample, which was 87.7 mg/dL glucose. This
fasting blood glucose concentration, when used to assess MetSglucose57 in this population of
children, resulted in more than 70% true positives and true negatives, and 28% false positives and
18% false negatives (Table 3). Specificity of the 87.7 mg/dL glucose cutoff as a MetS
component was calculated to be 72% and sensitivity was 82%.
Fasting blood glucose
concentration was not significantly related to any of the variables included in MetS
except for diastolic blood pressure, whereas values for HOMA-IR were
significantly related to all MetS variables
except for diastolic blood pressure
(Table 4a). Glucose concentration, when treated as a dichotomous variable and with cutoffs of either 110 mg/dL or 87.7 mg/dL, was not significantly related to any other dichotomized MetS components with the exception of triglycerides
(Table 4b). By contrast, HOMA-IR treated as a dichotomous variable was significantly related to dichotomized waist circumference, HDL-C, and triglycerides.
The intercorrelations among the components were notably lower for the 5 MetSglucose (Cronbach α = 0.424) and MetSglucose57 components (0.425) than for the 5 MetSHOMA-IR components (0.548). When other cutoff points for both glucose and HOMA-IR were evaluated, the highest α value observed was for a glucose concentration of 100 mg/dL (0.428) and for HOMA-IR of 2.4 (0.553). Regardless of the glucose concentration cutoffs selected, α values were always
lower with the glucose variable (≤0.428) than without it (0.429), indicating that including glucose did not contribute to the reliability of assessing MetS. By contrast, α values were higher with HOMA-IR cutoffs in the 2 to 3 range (0.516-0.553) than without (0.429), indicating that HOMA-IR did contribute to the reliability of MetS assessment.
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The prevalence of MetS among children of different ethnicities and backgrounds has been reported in few studies, and the multiple definitions of MetS make it difficult to directly compare population prevalence. Researchers using data from a nationally representative sample of approximately 1,700 adolescents found MetS prevalence to be 13% among 12- to 19-year-old adolescent Mexican Americans, 11% among non-Hispanic whites, and 2.5% among non-Hispanic blacks (4). In our study, using the
same MetS criteria, overall prevalence of MetSglucose was 17% (9% of boys,
23% of girls) among a sample of 9- to 13-year-old African American children recruited from inner-city Oakland, California. This finding was lower than the 31% prevalence reported for 12- to 19-year-old adolescents with
a BMI in the 85th percentile or higher (4), a difference that may be attributable to the lower age of children in our sample. Our prevalence of
22% for girls was somewhat higher than the 18%
prevalence for a sample of predominantly African American, mostly obese, adolescent girls aged 13 to 15 reported by others who used the same MetS criteria (11). The prevalence among girls in our sample was double the prevalence among boys, a finding that is consistent with the sex differences we observed in body fatness (13). Using
National Health and Nutrition Examination Survey (NHANES) III data for adolescents aged 12 to 19 — a sample that is more representative of the American civilian population — others have reported a higher
overall prevalence among boys than girls (3,4). A follow-up study with a larger sample size will be needed to confirm the sex differences we observed for younger African American overweight and obese children.
The prevalence of MetSglucose was twice as high among obese as
among overweight children in our sample (19% and 10%, respectively). In the obese group,
10% of boys and
25% of girls met the criteria for MetSglucose whereas in the overweight group, 7% of boys and 14% of girls met the MetSglucose criteria. Our findings are consistent with analyses of the NHANES III data set for young people aged 12 to 19 years, in which the prevalence of MetS was reported to
increase with BMI category (3,4). Thus, our results are similar to previous data yet provide additional information that describes the prevalence of MetS among overweight and obese African American children and suggest the need for additional assessments to further compare boys and girls.
Although fasting glucose concentration has been included by others as a MetS component, our results suggest that insulin resistance may be more reliably used to assess MetS in African American children. In our study, only 1 participant had a fasting
blood glucose concentration that exceeded the cut point of 110 mg/dL for MetS. Thus, although highly specific (100%), its use alone would have resulted in a large number (94%) of false negatives and very low sensitivity (6%). Other studies have
suggested that, for African American children, insulin resistance is a strong predictor of type 2 diabetes (19), and insulin resistance has always been included previously as a MetS component (20). In our sample, fasting
blood glucose and insulin concentrations were not significantly correlated. This is not surprising
because hyperinsulinemia is known to developmentally precede the hyperglycemic phase. Both fasting insulin concentrations and HOMA-IR have been shown to be highly correlated with more
invasive, exacting, and labor-intensive measures of insulin sensitivity in obese children and adolescents (21). Also, in our sample, fasting glucose concentrations, dichotomized for MetS assessment, were poorly correlated with the other 4 dichotomized components, whereas dichotomized HOMA-IR was significantly correlated. Finally, internal consistency among the MetS components was lower when MetSglucose was included than when MetSHOMA-IR
was included. The high levels of specificity (83%) and sensitivity (88%) observed when using the HOMA-IR cutoff of 2.5 as a MetS component suggests that, for African American children, insulin sensitivity should be used instead of glucose concentration to assess children for MetS. This conclusion is further supported by our comparison of HOMA-IR versus glucose when assessed at the same percentile for our sample (ie, the 57th percentile); efforts to identify a glucose
concentration that outperformed HOMA-IR as a component were not successful.
Others have attempted to establish the best cutoff value for the HOMA-IR index as a predictor of MetS in children and adolescents. One group concluded that HOMA-IR values “close to 3” seem to be adequate (22), whereas a second group recommended that a cutoff for HOMA-IR of 2.5 be used for obese prepubertal children (18). We chose to use a cutoff of 2.5 for our African American participants for comparison purposes, although Cronbach α was somewhat higher using HOMA-IR 2.4 than 2.5. Our
results suggest the necessity of replacing the glucose component with HOMA-IR for MetS diagnosis in this population; the MetS prevalence of 38% in the current sample, determined using HOMA-IR in place of glucose as a component, suggests that this population of children is seriously in need of intervention. A follow-up study is warranted to evaluate MetS prevalence in a larger and more diverse sample of African American children. The optimal HOMA-IR cutoff could also be confirmed in this larger
Limitations of this study include restriction to low-income, inner-city African American children and exclusion of children with
a BMI less than the 85th percentile when matched for age and sex. These limitations preclude comparisons among children of different races, ages, and socioeconomic backgrounds, and comparisons with lower BMI children. This is a cross-sectional analysis of data, precluding a cause-and-effect relationship.
In conclusion, among African American boys and girls living in inner-city Oakland, we found that MetS
prevalence was 2 to 3 times higher for girls than for boys, even when separated
according to the CDC-defined BMI categories, and was twice
as high using HOMA-IR (38%) in place of glucose (17%) as a MetS component. Our data suggest that insulin resistance should be used as a MetS component in place of fasting
blood glucose, because insulin resistance was more highly correlated with other MetS
components, provided fewer false negatives and false positives, and was more sensitive for identifying MetS in this high-risk pediatric population.
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Funding for this study was provided by US Department of Agriculture
Cooperative State Research, Education and Extension Service grants 2004-35214-14254 and 2005-35215-15046, the Dr Robert C. and Veronica Atkins Foundation, and the Lawrence and Victoria Johnson family.
We thank the participating children and their families and the staff of
the University of California at Berkeley and the YMCA.
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Corresponding Author: Sushma Sharma, PhD, Department of Nutritional Sciences and Toxicology, 212 Morgan Hall, University of California
at Berkeley, Berkeley, CA 94720-3104. Telephone: 510-642-9944. E-mail: firstname.lastname@example.org. Dr Sharma is
also affiliated with the Dr Robert C. and Veronica Atkins Center for Weight and Health.
Author Affiliations: Robert H. Lustig, Dr Robert C. and Veronica Atkins Center for Weight and Health, and the Division of Pediatric Endocrinology, University of California
at San Francisco, San Francisco, California. Sharon E. Fleming, Dr Robert C. and Veronica Atkins Center for Weight and Health, and the Department of Nutritional Sciences and Toxicology, University of California, Berkeley, California.
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