The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Metabolic Syndrome and Development of Diabetes Mellitus: Application and Validation of Recently Suggested Definitions of the Metabolic Syndrome in a Prospective Cohort Study
Abstract
The World Health Organization (WHO) and the National Cholesterol Education Program (NCEP) recently proposed definitions for the metabolic syndrome. Little is known of their validity, however. The authors assessed the sensitivity and specificity of the definitions of the metabolic syndrome for prevalent and incident diabetes mellitus in a Finnish population-based cohort of middle-aged men (n = 1,005) followed for 4 years since the late 1980s. Four definitions based on the WHO and NCEP recommendations were compared. All definitions identified persons at high risk for developing diabetes during the 4-year follow-up (odds ratios = 5.0-8.8). The WHO definition including waist-hip ratio > 0.90 or body mass index >or= 30 kg/m(2) was the most sensitive (0.83 and 0.67) and least specific (0.78 and 0.80) in detecting the 47 prevalent and 51 incident cases of diabetes. The NCEP definition in which adiposity was defined as waist girth > 102 cm detected only 61% of prevalent and 41% of incident diabetes, although it was the most specific (0.89 and 0.90). The WHO definition seems valid as judged by its relatively high sensitivity and specificity in predicting diabetes. The NCEP definition including waist > 102 cm also identifies persons at high risk for diabetes, but it is relatively insensitive in predicting diabetes.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Patients with the metabolic syndrome also are at increased risk for developing type 2 diabetes mellitus.”
From Diagnosis and Management of the Metabolic Syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement (2005) · cites this paper as [60]
Citations
Cites
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Obesity : Preventing and managing the global epidemic
Akram, D. S., Astrup, A. V., Atinmo, T., Boissin, J.-L., Bray, G. A., Carroll, K. N., Chitson, P., Chen, C., Dietz, W. H., Hill, J. O., et al. (2000) · Research at the University of Copenhagen (University of Copenhagen) · Cited by 12,945
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
(1998) · PsycEXTRA Dataset · doi:10.1037/e565682010-001 · Cited by 9,453
Katz, A., Nambi, S. S., Mather, K., Baron, A. D., Follmann, D. A., Sullivan, G., & Quon, M. J. (2000) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.85.7.6661 · Cited by 3,931 · cited 2×
“Insulin resistance was also estimated as the bottom 25 percent of insulin sensitivity as measured by a recently validated index (quantitative insulin sensitivity check index (QUICKI)) based on fasting insulin and glucose concentrations ([log (insulin) + log (glucose)]–1) (18).”
MethodSubcommittee, G. (1999) · Journal of Hypertension · doi:10.1097/00004872-199917020-00001 · Cited by 3,921
Banting lecture 1988. Role of insulin resistance in human disease.
Reaven, G. (1988) · Diabetes · doi:10.2337/diabetes.37.12.1595 · Cited by 3,801
(1997) · Archives of Internal Medicine · doi:10.1001/archinte.1997.00440420033005 · Cited by 3,777
(1998) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/68.4.899 · Cited by 2,722
Cited by
Sorted by citations
Items 801–900 of 907
Pyykkönen, A.-J. (2012) · Työväentutkimus Vuosikirja
Di, G., & Calò, S. (2011) · InTech eBooks · doi:10.5772/26001
Cameron, A. J., Shaw, J. E., & Zimmet, P. (2005) · Elsevier eBooks · doi:10.1016/b978-84-8174-892-5.50028-0
Recherche de déterminants génétiques des phénotypes associés au syndrome métabolique en population
Legry, V. (2009) · OpenGrey (Institut de l'Information Scientifique et Technique)
Fransson, L. (2014) · Figshare
Prevalence and Risk factors of Metabolic Syndrome Among Students at the University of Dar-es-salaam
Rutaihwa, M. K. (2011) · IHI Repository
PATHOGENESIS OF TYPE 2 DIABETES WITH EMPHASIS ON THE MECHANISM OF INSULIN RESISTANCE
Kuhl, J. (2006) · Figshare
Interrelationships of physical activity and depressive symptoms with cardiometabolic risk factors
Korniloff, K. (2013) · Jyväskylä University Digital Archive (University of Jyväskylä)
METFORMINA, FUNCION ARTERIAL Y GROSOR INTIMA-MEDIA EN SUJETOS CON SINDROME METABOLICO
Meaney, E. (2009) · REMERI - Red Mexicana de Repositorios Institucionales
Bolusani, H. (2013) · ORCA Online Research @Cardiff (Cardiff University)
(2014) · Innovative Journal of Medical and Health Science · doi:10.15520/ijmhs.2014.vol4.iss6.36.188-191
Hugo, M., Mehsen, N., Pierreisnard, A., Schaeverbeke, T., & Rigalleau, V. (2014) · Nutrition Clinique et Métabolisme · doi:10.1016/s0985-0562(14)70689-2
Is Hyperuricemia the Missing Piece in the Metabolic Syndrome Puzzle?
Soltani, Z., & Reisin, E. (2012) · Current Hypertension Reports · doi:10.1007/s11906-012-0249-8
Regarding “Prevalence of the Metabolic Syndrome in Relation to Self-Reported Cancer History”
Polednak, A. P. (2006) · Annals of Epidemiology · doi:10.1016/j.annepidem.2006.06.002
Asubonteng, J. O. (2014) · D-Scholarship@Pitt (University of Pittsburgh)
Tanaka, A., Cao, Z., Saito, Y., Kobori, Y., & Higuchi, M. (2012) · Health · doi:10.4236/health.2012.410129
Metabolic Syndrome and the Risk for Chronic Kidney Disease among Korean Women
Chae, S. K., Lee, J. S., Chun, J. H., & Park, H. S. (2009) · Korean Journal of Family Medicine · doi:10.4082/kjfm.2009.30.2.98
Chin, K. (2004) · Sleep and Biological Rhythms · doi:10.1111/j.1479-8425.2003.00080.x
Burrowes, J. D. (2006) · Nutrition Today · doi:10.1097/00017285-200605000-00010
Assessment of the metabolic syndrome in predicting incident type 2 diabetes in a Chinese population
Wang, J. (2005) · Työväentutkimus Vuosikirja
The impact of the metabolic syndrome and parental risk factors in patients with type 1 diabetes
Thorn, L. M. (2009) · Työväentutkimus Vuosikirja
Lecrubier, Y., Bauer, M., Hirschfeld, R. M. A., McElroy, S. L., & Suppes, T. M. (2008) · International Journal of Psychiatry in Clinical Practice · doi:10.1080/13651500701827671
Vascular risk factors and adipocyte dysfunction in metabolic syndrome
Hajer, G. R. (2008) · Utrecht University Repository (Utrecht University)
Metabolic syndrome and the development of vascular disease and type 2 diabetes in high-risk patients
Wassink, A. M. J. (2009) · Utrecht University Repository (Utrecht University)
Genetic Association of the Tenomodulin Gene (TNMD) with
Tolppanen, A. (2009)
Smith, C. S., Spertus, J. A., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Grundy, S. M., Cleeman, J. I., Daniels, S. R., & Donato, K. A. (2006)
Association between Cigarette Smoking and Metabolic Syndrome in Thais
Suriyaprom, K., Namjuntra, P., Thawnashom, K., Pimainok, Y., & Tungtrongchitr, R. (2011) · International Journal of Health Research · doi:10.4314/ijhr.v3i4.70423
Sarkar, S. S. D. S. (2013) · IOSR Journal of Dental and Medical Sciences · doi:10.9790/0853-0742528
Search for genetic variants conferring susceptibility to obesity and related metabolic traits
Suviolahti, E. (2005) · Työväentutkimus Vuosikirja
Moving Beyond Metabolic Syndrome: Assessing Diabetes and Cardiometabolic Risk
Indulekha, K., Pitchumoni, C. S., & Mohan, V. (2015) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9781681080369115010010
Metabolic Syndrome: Is It Nutritionally Programmed?
Krishnan, V., Js, P., Dinesh Roy, D., & Roy, D. (2014)
Bolognani, C. V., & de Souza, S. S. (2011)
Improving Glycaemic Control – A Mandatory Action Calling for Effective Therapeutic Management
Aragona, M., & Prato, S. D. (2006) · touchREVIEWS in Endocrinology · doi:10.17925/ee.2006.00.01.1f
Microarray Analysis in Human Adipose Tissue and Adipocytes
Jernås, M. (2008)
PEDIATRIC HIGHLIGHT Longitudinal preventive-screening cutoffs for metabolic syndrome in adolescents
Flouris, A. D., Bouziotas, C., Christodoulos, A. D., & Koutedakis, Y. (2008)
Bourque, S. L. (2009) · QSpace (Queen's University Library)
en los niveles de insulina y glucosa séricas en niños y adolescentes de Maracaibo-Estado Zulia
Souki-Rincón, A., Cano-Ponce, C., García, D., Mengual, E., González, C., León, L., Molero, E., Almao, L., Angarita, L., Sánchez, L. G., et al. (2007)
Viitasalo, A. (2015) · UEF eRepo (University of Eastern Finland)
Predictors and Consequences of the Metabolic Syndrome
Hassinen, M. (2008)
LUPUS AROUND THE WORLD Metabolic syndrome in Argentinean patients with systemic lupus erythematosus
Bellomio, V., Spindler, A. J., Sueldo, R., Santana, M., Molina, M., Góngora, V., Paira, S. O., Saurit, V., Alvarellos, A., Velozo, E. J., et al. (2009)
Adipocentrismo y riesgo cardiovascular
Gutiérrez, J. F. T. (2007) · Revista Portuguesa de Pneumologia
Changes in Cardiotrophin-1 and Fibroblast Growth Factor-21 with Weight Loss
Bowers, R. L. (2009)
Syndrome métabolique et compléments alimentaires
Liévin, S. (2015) · HAL
Svendsen, M. N. (2009) · NORA - Norwegian Open Research Archives
Jacobs, R. D. (2015) · VTechWorks (Virginia Tech)
Wijndaele, K. (2007) · Ghent University Academic Bibliography (Ghent University)
A proposed scoring system for quantification of metabolic syndrome severity
Bollinger, L. M. (2008) · MOspace Institutional Repository (University of Missouri) · doi:10.32469/10355/5621
Grigoryan, O. R., Sheremetyeva, E. V., & Andreeva, E. N. (2015) · Russian Journal of Human Reproduction · doi:10.17116/repro201521351-55
Kayabaşı, H., Yılmaz, Z., Yıldırım, İ., Yildirim, Y., Kadiroğlu, A. K., & Yilmaz, M. E. (2011) · Turkish Journal of Nephrology · doi:10.5262/tndt.2011.1002.09
Fyysinen aktiivisuus ja metabolinen oireyhtymä 55-74-vuotiailla miehillä ja naisilla
Kiviaho, L. (2004) · Jyväskylä University Digital Archive (University of Jyväskylä)
Was taugt zum Screening am besten?
Schwarz, P. E. H. (2011) · Info Diabetologie · doi:10.1007/bf03359259
Childhood obesity, nutrition and metabolic health
Goran, M. I., Cruz, M. L., Shaibi, G. Q., Weigensberg, M. J., Spruijt‐Metz, D., Ebbeling, C. B., & Ludwig, D. S. (2005) · Elsevier eBooks · doi:10.1533/9781845690540.1.86
The antidiabetic effect of angiotensin II receptor antagonists
Kurtz, T. W. (2006) · CRC Press eBooks · doi:10.1201/b14355-7
Melatonin’s Beneficial Effects in Metabolic Syndrome with Therapeutic Applications
Srinivasan, V., Ohta, Y., Espino, J., Zakaria, R., & Mohamed, M. (2014) · CRC Press eBooks · doi:10.1201/b17448-5
Woo, J. G. (2004) · OhioLink ETD Center (Ohio Library and Information Network)
Maj, M., Ïðåçèäåíò, È., Tasman, A., & Herrman, H. (2011)
Angiographic profile of NSTEMI patients with or without metabolic syndrome
Haque, M. A., Ahmed, N., Malik, F., Huq, T. S., Kalimuddin, M., & Rahman, M. H. (2016) · Bangladesh Journal of Medical Science · doi:10.3329/bjms.v15i4.30710
Kannan, G., & Vanitha Rani, N. (2016) · Annals of International medical and Dental Research · doi:10.21276/aimdr.2017.3.1.me6
Gong, T., & HALL, S. A. (2018) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-018-0574-9
Barton, J. C., Barton, J. C., & Acton, R. T. (2018) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2018.0036
Metabolic Syndrome in Female Patients with Acute Myocardial Infarction
Khan, M., Sana, N. K., Uddin, M. R., Rahman, M., Haque, M., Huda, M. N., Basak, P., Sarker, B., Khanam, K., Kundu, P. K., et al. (2018) · TAJ Journal of Teachers Association · doi:10.3329/taj.v26i0.37593
Bauer, M., Lecrubier, Y., & Suppes, T. M. (2008) · European psychiatry (Ed Española) · doi:10.1017/s1134066500009279
Csép, K. (2008) · Acta Endocrinologica (Bucharest) · doi:10.4183/aeb.2008.263
Obesity and Metabolic Syndrome After Childhood and Adolescent Cancer
Denzer, C., Gebauer, J., & Brabant, G. E. (2020) · Springer eBooks · doi:10.1007/978-3-030-49140-6_13
Diet, body adiposity and cardiometabolic risk in a population sample of primary school children
Eloranta, A. (2014) · UEF eRepo (University of Eastern Finland)
The metabolic syndrome : its validity, causes, consequences and uses
Cameron, A. J. (2017) · Figshare · doi:10.4225/03/587822366cd23
Study of HbA1c & microalbumin in urine in patients of metabolic syndrome
Ahsan, F., Qureshi, N. A., Samreen, S., & Kukreti, S. (2022) · International Journal of Clinical Biochemistry and Research · doi:10.18231/j.ijcbr.2021.066
Dölarslan, M. E., Dalkılıç, E., Sağ, S., & Güllülü, S. (2021) · Uludağ Üniversitesi Tıp Fakültesi Dergisi · doi:10.32708/uutfd.1024677
(2006) · Wiley eBooks · doi:10.1002/9780470041000.cedt025
(2007) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/01.hjr.0000277985.25720.16
Kutluk, Ö., & Kaçar, C. (2022) · Fiziksel Tıp ve Rehabilitasyon Bilimleri Dergisi · doi:10.31609/jpmrs.2021-84189
Factores determinantes del riesgo metabólico en el tratamiento con antipsicóticos atípicos
Pato, C. M. F. (2015) · UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · doi:10.35376/10324/11783
Childhood obesity, nutrition and metabolic health
Goran, M. I., Cruz, M., Shaibi, G. Q., Weigensberg, M. J., Spruijt‐Metz, D., Ebbeling, C. A., & Ludwig, D. S. (2010) · Woodhead Publishing Limited eBooks · doi:10.1533/9781845690840.1.86
Unwin, N. C., & Shaw, J. E. (2015) · doi:10.1093/med/9780199661756.003.0206
Orugbo, V. P., & Akpo, E. E. (2021) · Annals of Clinical and Biomedical Research · doi:10.4081/acbr.2021.134
Biotherapeutics an Alternative Way of Treating Metabolic Disorders in Human.
Kumari, P., & Salimkumar, A. V. (2022) · Acta Scientific Veterinary Sciences · doi:10.31080/asvs.2022.04.0500
Leptin and the Intersection of Cardiovascular Disease, Metabolism, and Adipose Tissue
Vavruch, C. (2023) · Linköping University medical dissertations · doi:10.3384/9789180751032
Exploring the Diagnosis of Immune-Related Genes in Metabolic Syndrome Based on Three AlgorithmsPreprint
Liu, W., Zhang, H., Lei, Y., Bautista, M., Ouchi, T., Lei, X., Gong, L., Luo, B., Qin, L., Hu, J., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3043778/v1
Lee, Y. (2024) · Korean Journal of Human Ecology · doi:10.5934/kjhe.2024.33.4.545
Shoukri, M. M. (2024) · Open Journal of Statistics · doi:10.4236/ojs.2024.145020
Son, J.-H., & Bae, S. (2024) · Journal of dental hygiene science · doi:10.17135/jdhs.2024.24.4.335
Harrison, L., Schriever, S. C., Bernecker, M., Mallet, N., Castillejo, C. M., Ameli, H., Baumann, P., Contreras, R. E., Stolz, J., Lindner, R., et al. (2025) · Diabetes · doi:10.2337/db24-0502
Li, M., Wang, S., Li, H., Zhong, W., Cheng, H., Quan, W., & Wang, L. (2025) · BMC Cardiovascular Disorders · doi:10.1186/s12872-025-05115-7
The Metabolic Syndrome: Definitions, Controversies and Clinical Utility
Johnson, L. W., & Weinstock, R. S. (2009) · Humana Press eBooks · doi:10.1007/978-1-59745-192-5_1
CHILDHOOD SOCIOECONOMIC STATUS AND THE METABOLIC SYNDROME
Phillips, J. E. (2007) · D-Scholarship@Pitt (University of Pittsburgh)
Мишустина, Е. Н., Smirnova, E. N., & Вагнер, Е. А. (2011) · CyberLeninK (CyberLeninka)
Lindborg, K. A. (2010) · UA Campus Repository (The University of Arizona)
自治体と大学が共同で取り組んだ減量教室事業の成果 Sodegaura Weight Management Study
知明, 松., 室武, 由., 由夫, 中., 清野, 諭., 大藏倫博, & 喜代次, 田. (2010) · 日本公衆衛生雑誌 · doi:10.11236/jph.57.5_390
Additional file 1 of Syndecan-4 as a genetic determinant of the metabolic syndrome
Crocco, P., Vecchie’, D., Gopalkrishna, S., Dato, S., Passarino, G., Young, M. E., Nagareddy, P. R., Rose, G., & Luca, M. D. (2023) · Figshare · doi:10.6084/m9.figshare.23700426
Cai, J., Yang, Z., Zhao, S., & Ke, X. (2023) · Figshare · doi:10.6084/m9.figshare.24844670
Epidemiology and Risk Factors in Cardiovascular-Kidney-Metabolic Syndrome
Iliescu, Ș., Oancea, A. F., Floria, M., & Covic, A. C. (2025) · Springer eBooks · doi:10.1007/978-3-032-11445-7_3
Major Minerals: Cardiometabolic Benefits and Their Role in Promoting Healthy Aging
Kunutsor, S. K., & Kaur, K. (2026) · Advances in biochemistry in health and disease · doi:10.1007/978-3-032-14445-4_19
Hernández, P. M. (2010) · doi:10.70675/f3acbc07z8859z4b1bzbc92zdd4c95da303c
Metadata
- Authors
- Laaksonen, D. E.
- Affiliations
- University of Eastern Finland (FI)
- Corresponding author
- Laaksonen, D. E.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-12-01
- Volume
- 156
- Issue
- 11
- Pages
- 1070-1077
- ISSN
- 0002-9262 (ISSN-L)
- OpenAlex
- W2149040949
- Cited by
- 916
- References
- 32
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 9 · 2023: 19 · 2022: 17 · 2021: 19 · 2020: 11 · 2019: 18 · 2018: 16 · 2017: 26 · 2016: 25 · 2015: 26 · 2014: 38 · 2013: 29 · 2012: 40
- FWCI
- 34.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Academy of Finland (2041022, 41471, 1041086)
- National Heart, Lung, and Blood Institute (HL-44199, R01HL044199)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- metabolic syndrome, diabetes mellitus, diagnostic criteria validity, WHO definition, waist-to-hip ratio, waist circumference, body mass index, adiposity, sensitivity and specificity, new-onset diabetes, middle-aged men
- MeSH terms
- Adult, Body Constitution, Diabetes Mellitus, Type 2, Finland, Humans, Insulin Resistance, Male, Middle Aged, Prospective Studies, Sensitivity and Specificity, World Health Organization, Body Mass Index, Metabolic Syndrome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review