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Cited by 115Gout, Hyperuricemia, Uric AcidDiabetes, Cardiovascular Risks, and LipoproteinsDiet, Metabolism, and Disease

Serum Uric Acid as a Harbinger of Metabolic Outcome in Subjects With Impaired Glucose Tolerance

Niskanen, Leo, Laaksonen, David E., Lindström, Jaana, Eriksson, Johan G., Keinänen-Kiukaanniemi, Sirkka, Ilanne-Parikka, Pirjo, Aunola, Sirkka, Hämäläinen, Helena +3 more·2006·Diabetes Care
DOI 10.2337/diacare.29.03.06.dc05-1465
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Abstract

Serum uric acid is the major product of purine metabolism (1). In cross-sectional studies, uric acid correlates with components of the metabolic syndrome: hypertension, obesity, low HDL cholesterol, hypertriglyceridemia, hyperinsulinemia, and insulin resistance (2–4). Although determination of uric acid is widely available and inexpensive, it has been overlooked as a marker of disturbed glucose metabolism. We studied its role in predicting changes in glucose tolerance and insulin levels and in the development of type 2 diabetes in the Finnish Diabetes Prevention Study. The design of the Finnish Diabetes Prevention Study has been previously described in detail (5). Briefly, 40- to 65-year-old overweight or obese individuals with impaired glucose tolerance were eligible. Impaired glucose tolerance was defined as a 2-h plasma glucose at 7.8–11.0 mmol/l after oral glucose (75 g) with a fasting glucose <7.8 mmol/l (6). The protocol was approved by the ethics committee of the National Public Health Institute (Helsinki, Finland). All participants gave written informed consent. In all, 522 individuals from five study centers were randomly assigned to the intervention ( n = 265) or control ( n = 257) groups. Serum uric acid concentrations were measured at baseline and at least once during the follow-up in 475 of the 522 participants, and these 475 are included in the present study. The original trial ended after an average follow-up of 3.2 years. In this study, follow-up …

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  • Cohort studies and large-scale meta-analyses exemplify designs expected to demonstrate high sensitivity in identifying behavioral trends.

    “Cohort studies and large-scale meta-analyses [11,12] exemplify designs expected to demonstrate high sensitivity in identifying behavioral trends.”

    From Methodological Approaches in Studying Type-2 Diabetes-Related Health Behaviors—A Systematic Review (2025) · cites this paper as [12]

  • Cross-sectional data and short-term interventions are insufficient for evaluating the long-term impact of behavioral strategies on glycemic control or health outcomes.

    “Most studies relied on cross-sectional data or short-term interventions [28,33], which are insufficient for evaluating the long-term impact of behavioral strategies on glycemic control or health outcomes [4,12].”

    From Methodological Approaches in Studying Type-2 Diabetes-Related Health Behaviors—A Systematic Review (2025) · cites this paper as [12]

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Authors
Niskanen, L., Laaksonen, D. E., Lindström, J., Eriksson, J. G., Keinänen-Kiukaanniemi, S., Ilanne-Parikka, P., Aunola, S., Hämäläinen, H., Tuomilehto, J., Uusitupa, M., & for the Finnish Diabetes Prevention Study Group
Affiliations
  • Kuopio University Hospital (FI)
  • Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki, Finland
  • Department of Public Health Science and General Practice, Unit of General Practice, Oulu University Hospital, Oulu, Finland
  • Finnish Diabetes Association and Tampere University Hospital Research Unit, Tampere, Finland
  • Laboratory for Population Research, Department of Health and Functional Capacity, National Public Health Institute, Turku, Finland
  • Research Department, Social Insurance Institution, Turku, Finland
  • University of Helsinki (FI)
  • University of Eastern Finland (FI)
ORCID
Venue
Diabetes Care
Publisher
American Diabetes Association
Published
2006-03-01
Volume
29
Issue
3
Pages
709-711
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
DOI
10.2337/diacare.29.03.06.dc05-1465
OpenAlex
W1987456363
Cited by
115
References
12
Citations by year
2026: 2 · 2025: 1 · 2024: 5 · 2023: 5 · 2022: 8 · 2021: 7 · 2020: 7 · 2019: 8 · 2018: 6 · 2017: 8 · 2016: 4 · 2015: 3 · 2014: 8 · 2013: 12 · 2012: 7
FWCI
3.24
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetes Care (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Nephrology › Gout, Hyperuricemia, Uric Acid
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
Keywords
serum uric acid, impaired glucose tolerance, type 2 diabetes risk, insulin resistance, metabolic syndrome, Finnish Diabetes Prevention Study, prediabetes, hyperuricemia, glucose metabolism
MeSH terms
Adult, Diabetes Mellitus, Type 2, Female, Finland, Glucose Tolerance Test, Humans, Male, Middle Aged, Primary Prevention, Uric Acid

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