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Cardiovascular and Metabolic Risk

Behavior of Insulin Resistance and Its Metabolic Correlates in Prepubertal Children

A Longitudinal Study (EarlyBird 32)

  1. Alison N. Jeffery, MSC1,
  2. Sandra Alba, BSC1,
  3. Michael J. Murphy, MD2,
  4. Linda D. Voss, PHD1,
  5. Brad S. Metcalf, BSC1,
  6. Joanne Hosking, PHD1,
  7. Daphne S.-L. Gardner, MD1,
  8. Naveed Sattar, MD3 and
  9. Terence J. Wilkin, MD1
  1. 1Endocrinology and Metabolism, Peninsula Medical School, Plymouth Campus, Plymouth, U.K
  2. 2Division of Pathology and Neuroscience, University of Dundee, Dundee, U.K
  3. 3BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, U.K
  1. Address correspondence and reprint requests to Alison N. Jeffery, EarlyBird Research Centre, Child Health, Level 12, Derriford Hospital, Plymouth, PL6 8DH, U.K. E-mail: alison.jeffery{at}pms.ac.uk
Diabetes Care 2007 Nov; 30(11): 2962-2964. https://doi.org/10.2337/dc07-0178
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A Longitudinal Study (EarlyBird 32)

  • ES, effect size
  • HOMA, homeostasis model assessment
  • HOMA-B, HOMA of β-cell function
  • HOMA-IR, HOMA of insulin resistance
  • SSF, sum of skinfolds

Secular trends in childhood obesity suggest that many children are gaining excess fat, thereby contributing to an emerging epidemic of type 2 diabetes in young people (1,2). However, it is normal for children to accumulate some fat in the years before puberty (3). These considerations highlight the difficulty in distinguishing pathological from physiological fat accumulation. Longitudinal data in healthy children are required in order to properly examine the relationships between adiposity and metabolic health. We prospectively studied a cohort of healthy prepubertal British school children and report here some unexpected temporal relationships between adiposity and insulin resistance.

RESEARCH DESIGN AND METHODS—

EarlyBird is a prospective nonintervention study investigating the emergence of insulin resistance in childhood. A cohort of 307 healthy children was recruited in 2000–2001 from randomly selected schools in Plymouth, U.K. Most are Caucasian, with a wide socioeconomic mix. Mean ± SD age at recruitment was 4.9 ± 0.25 years. The protocol has previously been described in detail (4). Results are reported for the first 4 study years, when the children were aged 5, 6, 7, and then 8 years. Only children who attended at all four time points (130 boys and 100 girls) were included for analysis. Those excluded (40 boys and 37 girls) did not differ anthropometrically or in metabolic measures at age 5 years (t tests; all P > 0.05). The male preponderance resulted from random recruitment. Results are presented separately by sex.

Annual measures

Annual measures included height, weight, BMI standardized to 1990 U.K. reference data (SD scores), sum of five skinfolds (SSF) (skinfolds measured twice over biceps and triceps of the left arm and the subscapular, suprailiac, and para-umbilical areas and the mean calculated for each measure); body composition by bioimpedance at ages 6–8 years, and body composition assessed by dual-energy X-ray absorptiometry at age 7 years (used to validate SSF as a measure of percentage of body fat). Fasting blood tests included serum glucose, insulin, triglycerides, HDL cholesterol, and total adiponectin. Homeostasis model assessment (HOMA) of insulin resistance (HOMA-IR) and β-cell function (HOMA-B) were derived by HOMA2 (5), validated for use in children (6). Serum adiponectin concentrations were determined using enzyme-linked immunosorbent assay on serum stored at −80°C.

Statistical analyses

Statistical analyses were performed using SPSS (version 14.0; SPSS, Chicago, IL). Means were compared using paired T tests and linear associations by Pearson’s correlation. Insulin resistance, triglycerides, waist circumference, and SSF were log transformed for all analyses to achieve normal distributions and the results back transformed for tabulation. Effect size (ES) ([mean at 8 years − mean at 5 years]/SD at 5 years) was calculated because it provides a useful indicator of the practical/clinical significance and is scale free (7), allowing comparisons across different variables. Differences and associations, respectively, of ES = ±0.25 and r = ±0.24 in boys and ES = ±0.29 and r = ±0.28 in girls would be statistically significant (P < 0.05) with 80% power. A difficult characteristic of this age-group is that many fasting insulin levels are below conventional detection limits of assays. To derive a HOMA value, each was arbitrarily allocated an insulin concentration of 1.5 mU/l. For assurance, we compared the metabolic trends in children with detectable insulin levels with findings in the entire cohort.

RESULTS

Adiposity

BMI at 5 years was significantly greater than the 1990 U.K. standard (8) in both boys and girls but increased only slightly from 5 to 8 years (Table 1). Skinfold thickness provides a more reliable measure of adiposity, correlating closely with dual-energy X-ray absorptiometry percentage of body fat in the EarlyBird cohort at age 7 years (r = 0.93; P < 0.001). Skinfold thickness increased significantly in both sexes from 5 to 8 years. Body composition was measured by bioelectrical impedance at ages 6–8 years, during which time percentage of fat mass rose (ES 0.32 and 0.91 SD in boys and girls, respectively; both P < 0.001)

Metabolic variables

HOMA-IR fell progressively and unexpectedly in both sexes from ages 5 to 7 years, tending to level off between ages 7 and 8 years (Table 1). Consistent with the fall in insulin resistance, HDL cholesterol rose significantly and triglyceride levels fell significantly in girls (though not significantly in boys). HOMA-B decreased significantly in both sexes, and glucose rose, crossing some 25% of its reference range. Adiponectin fell significantly.

The trends in insulin resistance and β-cell function were similar in each BMI tertile (data not shown). Fasting insulin was undetectable (<2.0 mU/l) in 19, 34, 35, and 35% of children at ages 5, 6, 7, and 8 years, respectively. However, the trends in insulin among children with detectable insulin levels at ages 5 and 8 years were the same as for the cohort as a whole: ES boys −0.35 SD, P = 0.03 and girls −0.55 SD, P < 0.001.

Correlations

Correlations between HOMA-IR and BMI were positive and tended to strengthen with age: at age 5 years, boys r = 0.21 (P = 0.01) and girls r = 0.23 (P = 0.02); by age 8 years, boys r = 0.37 and girls r = 0.5 (both P < 0.001). Correlations with SSF were similar: at age 5 years, boys r = 0.12 and girls r = 0.07 (both P > 0.16); at age 8 years, boys r = 0.34 and girls r = 0.57 (both P < 0.001). Insulin resistance was not significantly correlated with HDL cholesterol and correlated only weakly with adiponectin in boys aged 5 and 6 years. Fat mass calculated at ages 6, 7, and 8 years by bioimpedance correlated with insulin resistance better than fat-free mass (at 8 years, boys r = 0.38 and girls r = 0.56 [both P < 0.001] compared with boys r = 0.28 [P = 0.001] and girls r = 0.43 [P < 0.001], respectively).

CONCLUSIONS—

The combination of findings was unexpected and has not been reported before. Despite rising adiposity, there was a fall in insulin resistance between ages 5 and 7 years, consistent with falling triglycerides and rising HDL cholesterol. It is of interest that the positive correlation between insulin resistance and adiposity continued to strengthen over this period. The linear rise in fasting glucose levels over the same time interval is consistent with the substantial drop in HOMA-B (β-cell reserve).

The linearity of the changes and the precision of the assays suggest that the trends were systematic and the data sound. The trends in HOMA-IR and HOMA-B are unknown in up to one-third of children with undetectable insulin. However, the trends were the same among those with measurable insulin at each age, among children grouped by BMI tertile (data not shown), and in the group as a whole. It is unlikely that inclusion of insulin values <2.0 mU/l, had they been known, would have had any significant impact on the trends observed.

Puberty is a period of increasing insulin resistance (9,10) and, indeed, the fall in insulin resistance observed from ages 5 to 7 years appears to level off by age 8 years. The next 3 years will establish at what point it rises again and whether the heaviest children are compromised the most. The importance of our findings, which were only revealed by longitudinal study, lies with the apparent conundrum of falling insulin resistance and improving metabolic health, despite increasing adiposity. Intervention studies may be needed to resolve this paradox.

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Table 1—

Trend of metabolic markers in children measured at 4 annual time points (from ages 5 to 8 years)

Acknowledgments

EarlyBird is supported by Bright Futures Trust, Diabetes UK, GSK, Astra Zeneca, Pfizer, Nestle, and EarlyBird Diabetes Trust.

We gratefully acknowledge the help of Roger Williams, Clinical Chemistry, EarlyBird; EarlyBird nurses Rosemary Snaith and Karen Brookes; and the EarlyBird children and their families.

Footnotes

  • Published ahead of print at http://care.diabetesjournals.org on 21 August 2007. DOI: 10.2337/dc07-0178.

    A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.

    The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C Section 1734 solely to indicate this fact.

    • Accepted August 10, 2007.
    • Received February 5, 2007.
  • DIABETES CARE

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Behavior of Insulin Resistance and Its Metabolic Correlates in Prepubertal Children
Alison N. Jeffery, Sandra Alba, Michael J. Murphy, Linda D. Voss, Brad S. Metcalf, Joanne Hosking, Daphne S.-L. Gardner, Naveed Sattar, Terence J. Wilkin
Diabetes Care Nov 2007, 30 (11) 2962-2964; DOI: 10.2337/dc07-0178

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Behavior of Insulin Resistance and Its Metabolic Correlates in Prepubertal Children
Alison N. Jeffery, Sandra Alba, Michael J. Murphy, Linda D. Voss, Brad S. Metcalf, Joanne Hosking, Daphne S.-L. Gardner, Naveed Sattar, Terence J. Wilkin
Diabetes Care Nov 2007, 30 (11) 2962-2964; DOI: 10.2337/dc07-0178
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