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Aims/introduction: The Japanese government started a nationwide screening program for metabolic syndrome (MetS) to prevent cardiovascular diseases and diabetes in 2008. Although impaired fasting glucose (IFG) is a strong predictor for type 2 diabetes mellitus, the program does not follow up IFG in non-MetS individuals. This study aimed to examine the risk and the population attributable fraction (PAF) of MetS and IFG for incidence of type 2 diabetes mellitus.

Materials and Methods: Japanese workers (3,417 men and 714 women) aged 40-64 years without a history of diabetes were prospectively followed. MetS was defined as either abdominal obesity plus two or more metabolic risk factors, or being overweight in the case of normal waist circumference plus three or more metabolic risk factors. IFG was defined as fasting blood glucose 100-125 mg/dL.

Results: During a mean 6.3 years, 240 type 2 diabetes mellitus cases were identified. Compared with those without MetS and IFG, the multivariable-adjusted hazard ratios (95% confidence interval) of non-MetS individuals with IFG, MetS individuals without IFG and MetS individuals with IFG for type 2 diabetes mellitus were 4.9 (3.4-7.1), 2.4 (1.6-3.5) and 8.3 (5.9-11.5), respectively. The corresponding PAFs for type 2 diabetes mellitus incidence were 15.6, 9.1 and 29.7%, respectively.

Conclusions: IFG represented a higher risk and PAF than MetS for type 2 diabetes mellitus incidence in middle-aged Japanese individuals. The coexistence of MetS and IFG showed the highest risk and PAF for type 2 diabetes mellitus incidence. The current Japanese MetS screening program should be reconsidered to follow up non-MetS individuals with IFG.

Titel:	Risk and population attributable fraction of metabolic syndrome and impaired fasting glucose for the incidence of type 2 diabetes mellitus among middle-aged Japanese individuals: Aichi Worker's Cohort Study.
Autor/in / Beteiligte Person:	Kaneko, K ; Yatsuya, H ; Li, Y ; Uemura, M ; Chiang, C ; Hirakawa, Y ; Ota, A ; Tamakoshi, K ; Aoyama, A
Link:	Full Text Finder (Volltext)
Zeitschrift:	Journal of diabetes investigation, Jg. 11 (2020-09-01), Heft 5, S. 1163-1169
Veröffentlichung:	Tokyo : Asian Association for the Study of Diabetes and Blackwell Pub. Asia, 2020
Medientyp:	academicJournal
ISSN:	2040-1124 (electronic)
DOI:	10.1111/jdi.13230
Schlagwort:	Adult Biomarkers analysis Diabetes Mellitus, Type 2 etiology Diabetes Mellitus, Type 2 metabolism Diabetes Mellitus, Type 2 pathology Female Follow-Up Studies Humans Incidence Japan epidemiology Male Middle Aged Prognosis Prospective Studies Risk Factors Diabetes Mellitus, Type 2 epidemiology Fasting Glucose Intolerance complications Metabolic Syndrome complications Obesity complications
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [J Diabetes Investig] 2020 Sep; Vol. 11 (5), pp. 1163-1169. <i>Date of Electronic Publication: </i>2020 Mar 03. MeSH Terms: Fasting* ; Diabetes Mellitus, Type 2 / epidemiology ; Glucose Intolerance / complications ; Metabolic Syndrome / complications ; Obesity / complications ; Adult ; Biomarkers / analysis ; Diabetes Mellitus, Type 2 / etiology ; Diabetes Mellitus, Type 2 / metabolism ; Diabetes Mellitus, Type 2 / pathology ; Female ; Follow-Up Studies ; Humans ; Incidence ; Japan / epidemiology ; Male ; Middle Aged ; Prognosis ; Prospective Studies ; Risk Factors References: J Diabetes Investig. 2019 May;10(3):673-679. (PMID: 30312020) ; Diabetes Care. 2013 Jun;36(6):1789-96. (PMID: 23704681) ; J Am Coll Cardiol. 2012 Feb 14;59(7):635-43. (PMID: 22322078) ; Diabetes Res Clin Pract. 2016 Apr;114:23-31. (PMID: 27103365) ; Circulation. 2009 Oct 20;120(16):1640-5. (PMID: 19805654) ; Diabetes Res Clin Pract. 2018 Apr;138:271-281. (PMID: 29496507) ; Diabetes Care. 2012 May;35(5):1181-8. (PMID: 22517939) ; J Diabetes Investig. 2019 May;10(3):809-816. (PMID: 30387322) ; Trends Cardiovasc Med. 2016 May;26(4):364-73. (PMID: 26654259) ; Lancet. 2010 Jan 30;375(9712):408-18. (PMID: 19875164) ; Prev Med. 2010 Aug;51(2):118-22. (PMID: 20451548) ; Diabet Med. 2006 May;23(5):469-80. (PMID: 16681555) ; J Atheroscler Thromb. 2018 Apr 1;25(4):308-322. (PMID: 29238010) ; Circulation. 2005 Nov 15;112(20):3066-72. (PMID: 16275870) ; J Diabetes Investig. 2020 Sep;11(5):1163-1169. (PMID: 32022993) ; Epidemiol Health. 2017 Jan 6;39:e2017003. (PMID: 28092931) ; J Diabetes Investig. 2019 May;10(3):780-792. (PMID: 30220102) ; Diabetes. 2006 Aug;55(8):2379-86. (PMID: 16873704) ; Diabetes Res Clin Pract. 2018 Sep;143:101-112. (PMID: 29944968) ; Lancet. 2014 Aug 30;384(9945):766-81. (PMID: 24880830) ; Int J Obes Relat Metab Disord. 2003 Apr;27(4):478-83. (PMID: 12664081) ; Circulation. 2004 Jan 27;109(3):433-8. (PMID: 14744958) ; Intern Med. 2015;54(3):303-10. (PMID: 25748739) ; J Diabetes Investig. 2016 Mar;7(2):206-11. (PMID: 27042272) ; Pharmacoepidemiol Drug Saf. 2016 Dec;25(12):1375-1386. (PMID: 27193175) ; Lancet. 2011 Jul 9;378(9786):147-55. (PMID: 21705064) ; JAMA. 2009 May 27;301(20):2129-40. (PMID: 19470990) ; Diabetes Care. 2007 Mar;30(3):753-9. (PMID: 17327355) ; Am J Med. 2008 Jun;121(6):519-24. (PMID: 18501234) ; PLoS One. 2018 Jan 9;13(1):e0190862. (PMID: 29315322) ; Diabetes Res Clin Pract. 2017 Jan;123:149-164. (PMID: 28024276) ; Eur J Epidemiol. 2010 Feb;25(2):115-24. (PMID: 20012885) ; Am J Epidemiol. 1999 May 1;149(9):884; author reply 885-6. (PMID: 10221326) ; Hypertens Res. 2009 Apr;32(4):289-98. (PMID: 19262490) ; Diabetes Res Clin Pract. 2004 Mar;63(3):185-94. (PMID: 14757290) ; Diabetes Res Clin Pract. 2014 Jul;105(1):135-9. (PMID: 24947419) ; Circ J. 2009 Sep;73(9):1635-42. (PMID: 19590142) ; Diabetes Care. 2014 Jan;37 Suppl 1:S14-80. (PMID: 24357209) ; Am J Epidemiol. 1999 Dec 1;150(11):1201-7. (PMID: 10588080) ; Diabetes Metab Syndr Obes. 2019 Jul 09;12:1075-1080. (PMID: 31372017) ; J Diabetes Investig. 2015 Sep;6(5):533-42. (PMID: 26417410) ; J Diabetes Investig. 2019 May;10(3):837-845. (PMID: 30204299) ; Lancet. 2011 Sep 17;378(9796):1094-105. (PMID: 21885105) ; Ann N Y Acad Sci. 2013 Apr;1281:64-91. (PMID: 23551121) ; J Epidemiol. 2017 Sep;27(9):408-412. (PMID: 28434837) ; J Epidemiol. 2015;25(2):99-109. (PMID: 25400076) ; Circ J. 2009 May;73(5):878-84. (PMID: 19282609) ; Diabetes Care. 2009 Dec;32(12):2288-93. (PMID: 19729523) ; Diabetol Metab Syndr. 2018 Nov 22;10:84. (PMID: 30479670) Grant Information: 13470087 MEXT/JSPS KAKENHI; 17390185 MEXT/JSPS KAKENHI; 17790384 MEXT/JSPS KAKENHI; 22390133 MEXT/JSPS KAKENHI; 23659346 MEXT/JSPS KAKENHI; 26293153 MEXT/JSPS KAKENHI; 18H03057 MEXT/JSPS KAKENHI; 16590499 MEXT/JSPS KAKENHI; 18590594 MEXT/JSPS KAKENHI; 20590641 MEXT/JSPS KAKENHI; 23590787 MEXT/JSPS KAKENHI; 15K08802 MEXT/JSPS KAKENHI; 25893088 MEXT/JSPS KAKENHI; 16K19278 MEXT/JSPS KAKENHI; H26-Junkankitou [Seisaku]-Ippan-001 Ministry of Health, Labor and Welfare; H29-Junkankitou [Seishuu]-Ippan-003 Ministry of Health, Labor and Welfare; Japan Atherosclerosis Prevention Fund; Aichi Health Promotion Foundation; Uehara Memorial Fund Contributed Indexing: Keywords: Impaired fasting glucose; Metabolic syndrome; Population attributable fraction and type 2 diabetes mellitus Substance Nomenclature: 0 (Biomarkers) Entry Date(s): Date Created: 20200206 Date Completed: 20210914 Latest Revision: 20240329 Update Code: 20240329 PubMed Central ID: PMC7477517

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Risk and population attributable fraction of metabolic syndrome and impaired fasting glucose for the incidence of type 2 diabetes mellitus among middle-aged Japanese individuals: Aichi Worker's Cohort Study.