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Published online April 19, 2007
Diabetes Care 30:1909-1911, 2007
DOI: 10.2337/dc06-2355
© 2007 by the American Diabetes Association
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Cardiovascular and Metabolic Risk
Brief Report

Paradoxical Relationships Between Anthropometric Variables and Phenotypic Expression of the Metabolic Syndrome in Nondiabetic Polynesians of New Caledonia

Amandine Cournil, PHD1, Roselyne Defay, PHD1, Annie Lacroux, MSC1, Sylvie Barny, MD, PHD2, Annick Fontbonne, MD, PHD1 for the CALDIA Study Group

1 Institute for Research and Development, Montpellier, France
2 Health and Social Department, Noumea, New Caledonia

Address correspondence and reprint requests to Dr. Annick Fontbonne, Institute for Research and Development-UR024, 911 Avenue Agropolis, BP64501, 34394, Montpellier, Cedex 5, France. E-mail: fontbon{at}montp.inserm.fr

Abbreviations: FPG, fasting plasma glucose • HOMA-IR, homeostasis model assessment of insulin resistance • SBP, systolic blood pressure


    INTRODUCTION
 TOP
 INTRODUCTION
 RESEARCH DESIGN AND METHODS--
 RESULTS--
 CONCLUSIONS--
 References
 
In the multiethnic population of New Caledonia, the CALDIA (CALedonia DIAbetes Mellitus) Study showed that the prevalence of type 2 diabetes was much higher (15.3%) in Polynesians (mostly Wallisians) than in Melanesians or Europeans (8.4%) (1). Polynesians also exhibit high rates of obesity (2,3), known to be a risk factor for insulin resistance and type 2 diabetes (4,5). However, recent analyses of the CALDIA Study showed that despite high indexes of abdominal obesity, Polynesians had low fasting plasma insulin levels and homeostasis model assessment of insulin resistance (HOMA-IR) (6). Since abdominal obesity is usually associated with impaired fasting glucose, dyslipidemia, and/or hypertension, forming the metabolic syndrome (7,8), we investigated whether these features were present in this group, in comparison with Melanesians and Europeans.


    RESEARCH DESIGN AND METHODS—
 TOP
 INTRODUCTION
 RESEARCH DESIGN AND METHODS--
 RESULTS--
 CONCLUSIONS--
 References
 
The CALDIA Study is a large population-based study of diabetes prevalence in New Caledonia. The protocol has been previously described in detail (1). A population-based sample of 9,390 subjects, aged 30–59 years, residing in New Caledonia >10 years were visited at home for capillary blood glucose measurement. Among them, 643 subjects were known to have diabetes or had capillary blood glucose values ≥6.1 mmol/l when fasting or ≥7.8 mmol/l when not fasting (positive screenees). A total of 588 subjects (response rate 91.5%), together with 517 negative screenees matched by ethnic group, sex, age, and location, underwent a more detailed examination, including a 2-h oral glucose tolerance test and anthropometric and biochemical measurements. Of these, we selected for the analysis 58 Europeans, 298 Melanesians, and 63 Polynesians with no known or newly diagnosed diabetes (i.e., fasting plasma glucose [FPG] <7 mmol/l and 2-h plasma glucose <11.1 mmol/l at the oral glucose tolerance test), no antihypertensive treatment, and no missing data for variables of interest.

We compared metabolic syndrome parameters across the ethnic groups and studied the association between metabolic variables and waist circumference. All statistical analyses were performed using SAS software.


    RESULTS—
 TOP
 INTRODUCTION
 RESEARCH DESIGN AND METHODS--
 RESULTS--
 CONCLUSIONS--
 References
 
Means of metabolic syndrome parameters for each ethnic group are shown in Fig. 1. Despite having the highest means of waist circumference, FPG, and a higher prevalence of glycemic abnormalities, Polynesians had lower triglycerides and systolic blood pressure (SBP) than Melanesians. Levels of triglycerides, SBP, and HOMA-IR were lower in Polynesians compared with Europeans after adjustment for age, sex, and BMI, but the differences were not statistically significant. Levels of HDL cholesterol were similar between the three groups with or without adjustment.


Figure 1
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Figure 1— Mean values and 95% CIs of metabolic syndrome parameters, HOMA-IR, and prevalence of impaired fasting glucose (IFG) or impaired glucose tolerance (IGT). ANCOVA P values for ethnic group effect are adjusted for age and sex (for waist circumference [WC]) and for age, sex, and BMI (for FPG, SBP, triglycerides [TG], HDL cholesterol [HDL-C], and HOMA-IR). P values for two-by-two comparisons using Bonferroni correction are indicated when significacnt. Triglycerides and HDL cholesterol were log transformed for calculations. {square}, Europeans; , Melanesians; {blacktriangleup}, Polynesians.

 
To assess the contribution of abdominal obesity to the variability of metabolic syndrome parameters, regression analyses were performed separately for each ethnic group, after adjustment for age and sex. In all ethnic groups, waist circumference was positively associated with SBP. As expected, we also found a positive correlation between waist circumference and triglycerides in Europeans (P < 0.02) and Melanesians (P < 0.0001). Surprisingly, there was no such correlation in Polynesians. FPG was significantly associated with waist circumference only in Melanesians (P < 0.0004). HDL cholesterol levels were not associated with waist circumference in any group.


    CONCLUSIONS—
 TOP
 INTRODUCTION
 RESEARCH DESIGN AND METHODS--
 RESULTS--
 CONCLUSIONS--
 References
 
Polynesians did not exhibit the expected cluster of abnormalities usually observed in the metabolic syndrome, given their obesity indexes. They displayed the lowest triglyceride levels, together with relatively low mean values for SBP. Moreover, triglycerides and FPG levels were independent of waist circumference. This lack of association might, however, be a consequence of a lack of power and should be confirmed on larger samples.

Our study is another observation that the relation between obesity and the cluster of metabolic syndrome abnormalities differs according to ethnicity (9,10), which raises discussions about the validity of metabolic syndrome definitions (11). For example, Canadian or Greenland Inuits have rather low prevalence of dyslipidemia and hypertension despite high occurrence of abdominal obesity (12,13). Conversely, South Asian populations often exhibit the cluster of metabolic syndrome abnormalities, although they have low obesity rates compared with Caucasian populations; however, they generally have an excess of visceral fat (14).

One explanation for these discrepancies may be that amount of overall or visceral fat is poorly assessed by usual anthropometric indexes (15). We had to rely on these because no direct estimation of fat mass or body composition was available in the CALDIA Study, and some studies have shown that Polynesians had higher percentage of lean mass and higher bone mineral density compared with Caucasians (1618). Moreover, it was observed that most Polynesians in the CALDIA Study were employed in heavy work, which may enhance their muscular mass.

The particular metabolic profile we observed in Polynesians may also be related to a low degree of insulin resistance, considered as the leading factor predisposing to the metabolic syndrome (1921). In a previous study, we have shown in accordance with Simmons et al. (3) that Polynesians had low fasting insulin levels and HOMA-IR values (6). This may be due to their high physical activity or other environmental factors, such as diet, or to genetic factors.

In conclusion, despite their large body mass, nondiabetic Polynesians do not seem to display the expected profile of disorders described under conventional definitions of the metabolic syndrome. This suggests that either anthropometric indexes do not properly reflect body fat mass or that pathogenetic mechanisms leading to the syndrome are not sufficiently understood. This may have implications for the diagnosis and characterization of metabolic syndrome across populations, as well as for the assessment of its related disease risks.


    Acknowledgments
 
This work was supported by grants from INSERM and French Ministry of Cooperation, with additional support from various entities of New Caledonia.

We thank the CALDIA Study group and particularly its principal coordinator, Laure Papoz.


    Footnotes
 
Published ahead of print at http://care.diabetesjournals.org on 19 March 2007. DOI: 10.2337/dc06-2355.

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.

Received for publication November 21, 2006. Accepted for publication March 26, 2007.


    References
 TOP
 INTRODUCTION
 RESEARCH DESIGN AND METHODS--
 RESULTS--
 CONCLUSIONS--
 References
 

  1. Papoz L, Barny S, Simon D: Prevalence of diabetes mellitus in New Caledonia: ethnic and urban-rural differences: CALDIA Study Group: CALedonia DIAbetes Mellitus Study. Am J Epidemiol 143:1018–1024, 1996[Abstract/Free Full Text]
  2. Tassie JM, Papoz L, Barny S, Simon D: Nutritional status in adults in the pluri-ethnic population of New Caledonia: the CALDIA Study Group. Int J Obes Relat Metab Disord 21:61–66, 1997[Medline]
  3. Simmons D, Thompson CF, Volklander D: Polynesians: prone to obesity and type 2 diabetes mellitus but not hyperinsulinaemia. Diabet Med 18:193–198, 2001[Medline]
  4. Despres JP, Lemieux S, Lamarche B, Prud'homme D, Moorjani S, Brun LD, Gagne C, Lupien PJ: The insulin resistance-dyslipidemic syndrome: contribution of visceral obesity and therapeutic implications. Int J Obes Relat Metab Disord 19(Suppl. 1):S76–S86, 1995
  5. Reaven G, Abbasi F, McLaughlin T: Obesity, insulin resistance, and cardiovascular disease. Recent Prog Horm Res 59:207–223, 2004[Abstract/Free Full Text]
  6. Defay R, Jaussent I, Lacroux A, Fontbonne A: Relationships between glycaemic abnormalities, obesity and insulin resistance in nondiabetic Polynesians of New Caledonia. Int J Obes (Lond )31:109–113, 2006[Medline]
  7. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III): 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) final report. Circulation 106:3143–3421, 2002[Free Full Text]
  8. Alberti KG, Zimmet P, Shaw J, for the IDF Epidemiology Task Force Consensus Group: The metabolic syndrome-a worldwide definition. Lancet 366:1059–1062, 2005[Medline]
  9. Despres JP, Lemieux I: Abdominal obesity and metabolic syndrome. Nature 444:881–887, 2006[Medline]
  10. Palaniappan LP, Carnethon MR, Fortmann SP: Heterogeneity in the relationship between ethnicity, BMI, and fasting insulin. Diabetes Care 25:1351–1357, 2002[Abstract/Free Full Text]
  11. Kahn R, Buse J, Ferrannini E, Stern M: The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care 28:2289–2304, 2005[Abstract/Free Full Text]
  12. Liu J, Hanley AJ, Young TK, Harris SB, Zinman B: Characteristics and prevalence of the metabolic syndrome among three ethnic groups in Canada. Int J Obes (Lond )30:669–676, 2006[Medline]
  13. Jorgensen ME, Glumer C, Bjerregaard P, Gyntelberg F, Jorgensen T, Borch Johnsen K: Obesity and central fat pattern among Greenland Inuit and a general population of Denmark (Inter99): relationship to metabolic risk factors. Int J Obes Relat Metab Disord 27:1507–1515, 2003[Medline]
  14. Barnett AH, Dixon AN, Bellary S, Hanif MW, O'Hare JP, Raymond NT, Kumar S: Type 2 diabetes and cardiovascular risk in the UK south Asian community. Diabetologia 49:2234–2246, 2006[Medline]
  15. Snijder MB, van Dam RM, Visser M, Seidell JC: What aspects of body fat are particularly hazardous and how do we measure them? Int J Epidemiol 35:83–92, 2006[Free Full Text]
  16. Swinburn BA, Ley SJ, Carmichael HE, Plank LD: Body size and composition in Polynesians. Int J Obes Relat Metab Disord 23:1178–1183, 1999[Medline]
  17. Deurenberg P, Yap M, Van Staveren WA: Body mass index and percent body fat: a meta analysis among different ethnic groups. Int J Obes Relat Metab Disord 22:1164–1171, 1998[Medline]
  18. Rush E, Plank L, Chandu V, Laulu M, Simmons D, Swinburn B, Yajnik C: Body size, body composition, and fat distribution: a comparison of young New Zealand men of European, Pacific Island, and Asian Indian ethnicities. N Z Med J 117:U1203, 2004[Medline]
  19. Reaven GM: Banting Lecture 1988: Role of insulin resistance in human disease. Diabetes 37:1595–1607, 1988[Abstract]
  20. Haffner SM, D'Agostino R, Saad MF, Rewers M, Mykkanen L, Selby J, Howard G, Savage PJ, Hamman RF, Wagenknecht LE, Bergman RN: Increased insulin resistance and insulin secretion in nondiabetic African-Americans and Hispanics compared with non-Hispanic whites. Diabetes 45:742–748, 1996[Abstract]
  21. Bonora E, Kiechl S, Willeit J, Oberhollenzer F, Egger G, Targher G, Alberiche M, Bonadonna RC, Muggeo M: Prevalence of insulin resistance in metabolic disorders: the Bruneck Study. Diabetes 47:1643–1649, 1998[Abstract]

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This Article
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HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
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