nach oben

Diabetologia

Erschienen in:

01.09.2007 | Article

Relationship between serum concentrations of persistent organic pollutants and the prevalence of metabolic syndrome among non-diabetic adults: results from the National Health and Nutrition Examination Survey 1999–2002

verfasst von: D.-H. Lee, I.-K. Lee, M. Porta, M. Steffes, D. R. Jacobs Jr

Erschienen in: Diabetologia | Ausgabe 9/2007

Einloggen, um Zugang zu erhalten

Abstract

Aims/hypothesis

We recently reported associations of some persistent organic pollutants (POPs) with both prevalence of type 2 diabetes and insulin resistance in a US population with background exposure to POPs. Restricted to non-diabetic participants, we now investigate the relationship between POPs and the metabolic syndrome, a prediabetic state.

Materials and methods

Cross-sectional associations were investigated in 721 non-diabetic participants aged ≥20 years. Nineteen POPs in five subclasses were selected because they were detectable in ≥60% of participants.

Results

Among five POPs subclasses, organochlorine (OC) pesticides were most strongly and consistently associated with metabolic syndrome: adjusted odds ratios (ORs) of 1.0, 1.5, 2.3 and 5.3 across OC pesticide quartiles (p for trend <0.01). Dioxin-like polychlorinated biphenyls (PCBs) were also positively associated with adjusted ORs of 1.0, 1.1, 2.2 and 2.1 (p for trend = 0.01). However, non-dioxin-like PCBs showed an inverted U-shaped association with adjusted ORs of 1.0, 1.3, 1.8 and 1.0 (p for quadratic term <0.01). Associations of specific POPs varied across five components of the metabolic syndrome. OC pesticides were positively and significantly associated with four of the five components, especially elevated triacylglycerol and high fasting glucose, but not high blood pressure. PCBs were significantly associated with waist circumference, triacylglycerol and impaired fasting glucose. Polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans showed small but significant associations only with high blood pressure.

Conclusions/interpretation

This study suggests that the prevalence of a cluster of cardiovascular risk factors relates to background exposure to a mixture of POPs, several of which are also related to the prevalence of diabetes. POPs associated differentially with different components of the metabolic syndrome.

Wilson PWF, Kannel WB, Silbershatz H, D’Agostino RB (1999) Clustering of metabolic factors and coronary heart disease. Arch Intern Med 159:1104–1109PubMedCrossRef

Pladevall M, Singal B, Williams LK et al (2006) A single factor underlies the metabolic syndrome: a confirmatory factor analysis. Diabetes Care 29:113–122PubMedCrossRef

Hanson RL, Imperatore G, Bennett PH, Knowler WC (2002) Components of the ‘metabolic syndrome’ and incidence of type 2 diabetes. Diabetes 51:3120–3127PubMedCrossRef

Lakka HM, Laaksonen DE, Lakka TA et al (2002) The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA 288:2709–2716PubMedCrossRef

Lee DH, Lee IK, Song KE et al (2006) A strong dose–response relation between serum concentrations of persistent organic pollutants and diabetes: results from the National Health and Examination Survey. Diabetes Care 29:1638–1644PubMedCrossRef

Lee DH, Lee IK, Jin SH, Steffes M, Jacobs DR Jr (2007) Association between serum concentrations of persistent organic pollutants and insulin resistance among nondiabetic adults: results from the National Health and Nutrition Examination Survey 1999–2002. Diabetes Care 30:622–628PubMedCrossRef

Lee DH, Jacobs DR, Porta M (2006) Could low level background exposure to persistent organic pollutants contribute to the social burden of type 2 diabetes? [Editorial]. J Epidemiol Community Health 60:1006–1008PubMedCrossRef

Porta M (2006) Persistent organic pollutants and the burden of diabetes. Lancet 368:558–559PubMedCrossRef

Fierens S, Mairesse H, Heilier JF et al (2003) Dioxin/polychlorinated biphenyl body burden, diabetes and endometriosis: findings in a population-based study in Belgium. Biomarkers 8:529–534PubMedCrossRef

10.

Remillard RB, Bunce NJ (2002) Linking dioxins to diabetes: epidemiology and biologic plausibility. Environ Health Perspect 110:853–858PubMedCrossRef

11.

Steenland K, Calvert G, Ketchum N, Michalek J (2001) Dioxin and diabetes mellitus: an analysis of the combined NIOSH and Ranch Hand data. Occup Environ Med 58:641–648PubMedCrossRef

12.

Longnecker MP, Klebanoff MA, Brock JW, Zhou H (2001) Collaborative Perinatal Project (CPP). Polychlorinated biphenyl serum levels in pregnant subjects with diabetes. Diabetes Care 24:1099–1101PubMedCrossRef

13.

Cranmer M, Louie S, Kennedy RH, Kern PA, Fonseca VA (2000) Exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) is associated with hyperinsulinemia and insulin resistance. Toxicol Sci 56:431–436PubMedCrossRef

14.

NHANES 1999–2000 public data release file documentation [article online] (2005) Available from http://www.cdc.gov/nchs/about/major/nhanes/nhanes99-00.htm, accessed 28 February 2006

15.

NHANES 2000–2001 public data release file documentation [article online] (2005) Available from http://www.cdc.gov/nchs/about/major/nhanes/nhanes01-02.htm, accessed 28 February 2006

16.

Third national report on human exposure to environmental chemicals (2005) Available from http://www.cdc.gov/exposurereport/3rd/pdf/thirdreport.pdf, accessed 28 February 2006

17.

Turner W, DiPietro E, Lapeza C, Green V, Gill J, Patterson DG Jr (1997) A fast universal automated cleanup system for the isotope-dilution HRMS analysis of PCDDs, PCDFs, coplanar PCBs, PCB congeners, and persistent pesticides from the same serum sample. Organohalog Compd 31:26–31

18.

Korn EL, Graubard BI (1991) Epidemiologic studies utilizing surveys: accounting for the sampling design. Am J Public Health 81:1166–1173PubMedCrossRef

19.

Graubard BI, Korn EL (1999) Analyzing health surveys for cancer-related objectives. J Natl Cancer Inst 91:1005–1016PubMedCrossRef

20.

Welshons WV, Thayer KA, Judy BM, Taylor JA, Curran EM, vom Saal FS (2003) Large effects from small exposures. I. Mechanisms for endocrine-disrupting chemicals with estrogenic activity. Environ Health Perspect 111:994–1006PubMed

21.

Hennig B, Meerarani P, Slim R (2002) Proinflammatory properties of coplanar PCBs: in vitro and in vivo evidence. Toxicol Appl Pharmacol 181:174–183PubMedCrossRef

22.

Grundy SM (1999) Hypertriglyceridemia, insulin resistance, and the metabolic syndrome. Am J Cardiol 83:25F–29FPubMedCrossRef

23.

Lillioja S, Mott DM, Spraul M et al (1993) Insulin resistance and insulin secretory dysfunction as precursors of non-insulin-dependent diabetes mellitus: prospective studies of Pima Indians. N Engl J Med 329:1988–1992PubMedCrossRef

24.

Warram JH, Martin BC, Krolewski AS, Soeldner JS, Kahn CR (1990) Slow glucose removal rate and hyperinsulinemia precede the development of type II diabetes in the offspring of diabetic parents. Ann Intern Med 113:909–915PubMed

25.

Cheal KL, Abbasi F, Lamendola C, McLaughlin T, Reaven GM, Ford ES (2004) Relationship to insulin resistance of the adult treatment panel III diagnostic criteria for identification of the metabolic syndrome. Diabetes 53:1195–1200PubMedCrossRef

26.

Liao Y, Kwon S, Shaughnessy S et al (2004) Critical evaluation of adult treatment panel III criteria in identifying insulin resistance with dyslipidemia. Diabetes Care 27:978–983PubMedCrossRef

27.

McLaughlin T, Abbasi F, Cheal K, Chu J, Lamendola C, Reaven G (2003) Use of metabolic markers to identify overweight individuals who are insulin resistant. Ann Intern Med 139:802–809PubMed

28.

Meigs JB (2000) Invited commentary: insulin resistance syndrome? Syndrome X? Multiple metabolic syndrome? A syndrome at all? Factor analysis reveals patterns in the fabric of correlated metabolic risk factors. Am J Epidemiol 152:908–911PubMedCrossRef

29.

Needham LL, Barr DB, Caudill SP et al (2005) Concentrations of environmental chemicals associated with neurodevelopmental effects in U.S. population. Neurotoxicology 26:531–545PubMedCrossRef

30.

Fujiyoshi PT, Michalek JE, Matsumura F (2006) Molecular epidemiologic evidence for diabetogenic effects of dioxin exposure in U.S. Air force veterans of the Vietnam war. Environ Health Perspect 114:1677–1683PubMed

31.

Luross JM, Alaee M, Sergeant DB et al (2002) Spatial distribution of polybrominated diphenyl ethers and polybrominated biphenyls in lake trout from the Laurentian Great Lakes. Chemosphere 46:665–672PubMedCrossRef

32.

Anway MD, Cupp AS, Uzumcu M, Skinner MK (2005) Epigenetic transgenerational actions of endocrine disruptors and male fertility. Science 308:1466–1469PubMedCrossRef

33.

Titus-Ernstoff L, Troisi R, Hatch EE et al (2006) Menstrual and reproductive characteristics of women whose mothers were exposed in utero to diethylstilbestrol (DES). Int J Epidemiol 35:862–868PubMedCrossRef

34.

Thornton J (2000) Beyond risk: an ecological paradigm to prevent global chemical pollution. Int J Occup Environ Health 6:318–330PubMed

35.

Gallou-Kabani C, Junien C (2005) Nutritional epigenomics of metabolic syndrome: new perspective against the epidemic. Diabetes 54:1899–1906PubMedCrossRef

36.

Hansen JC (2000) Environmental contaminants and human health in the Arctic. Toxicol Lett 112–113:119–125PubMedCrossRef

37.

Jorgensen ME, Bjeregaard P, Borch-Johnsen K (2002) Diabetes and impaired glucose tolerance among the Inuit population of Greenland. Diabetes Care 25:1766–1771PubMedCrossRef

38.

Jorgensen ME, Bjerregaard P, Gyntelberg F, Borch-Johnsen K, Greenland Population Study (2004) Prevalence of the metabolic syndrome among the Inuit in Greenland. A comparison between two proposed definitions. Diabet Med 21:1237–1242PubMedCrossRef

39.

Yoon KH, Lee JH, Kim JW et al (2006) Epidemic obesity and type 2 diabetes in Asia. Lancet 368:1681–1688PubMedCrossRef

40.

Greenpeace (2000) Unseen poisons in Asia. Available from http://www.greenpeace.to/publications_pdf/asiapops.pdf, accessed 20 February 20 2007

Titel: Relationship between serum concentrations of persistent organic pollutants and the prevalence of metabolic syndrome among non-diabetic adults: results from the National Health and Nutrition Examination Survey 1999–2002
verfasst von: D.-H. Lee
I.-K. Lee
M. Porta
M. Steffes
D. R. Jacobs Jr
Publikationsdatum: 01.09.2007
Verlag: Springer-Verlag
Erschienen in: Diabetologia / Ausgabe 9/2007
Print ISSN: 0012-186X
Elektronische ISSN: 1432-0428
DOI: https://doi.org/10.1007/s00125-007-0755-4

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Innere Medizin

24.04.2024 | DGIM 2024 | Kongressbericht | Nachrichten

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Relationship between serum concentrations of persistent organic pollutants and the prevalence of metabolic syndrome among non-diabetic adults: results from the National Health and Nutrition Examination Survey 1999–2002

Abstract

Aims/hypothesis

Materials and methods

Results

Conclusions/interpretation

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Metformin rückt in den Hintergrund

Myokarditis nach Infekt – richtig schwierig wird es bei Profisportlern

Thrombophiliescreening – Wenn, dann richtig und nur bei therapeutischer Konsequenz

Bei Senioren mit Prostatakarzinom auf Anämie achten!

Update Innere Medizin

Springer Medizin

Abstract

Aims/hypothesis

Materials and methods

Results

Conclusions/interpretation

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 9/2007

Brain-derived neurotrophic factor (BDNF) and type 2 diabetes. Reply to Lambert GW et al (letter)

Comment on: Holt HB, Wild SH, Postle AD et al (2007) Cortisol clearance and associations with insulin sensitivity, body fat and fatty liver in middle-aged men. Diabetologia 50:1024–1032

Continuous stimulation of human glucagon-like peptide-1 (7–36) amide in a mouse model (NOD) delays onset of autoimmune type 1 diabetes

Retinol-binding protein 4 is associated with components of the metabolic syndrome, but not with insulin resistance, in men with type 2 diabetes or coronary artery disease

A 10-s sprint performed prior to moderate-intensity exercise prevents early post-exercise fall in glycaemia in individuals with type 1 diabetes

School marks for Swedish children whose mothers had diabetes during pregnancy: a population-based study

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Metformin rückt in den Hintergrund

Myokarditis nach Infekt – richtig schwierig wird es bei Profisportlern

Thrombophiliescreening – Wenn, dann richtig und nur bei therapeutischer Konsequenz

Bei Senioren mit Prostatakarzinom auf Anämie achten!

Update Innere Medizin