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Haverinen E, Paalanen L, Palmieri L, et al. Comparison of metabolic syndrome prevalence using four different definitions - a population-based study in Finland. Arch Public Health. 2021;79(1):231doi: 10.1186/s13690-021-00749-3.
Haverinen, E., Paalanen, L., Palmieri, L., Padron-Monedero, A., Noguer-Zambrano, I., Sarmiento Suárez, R., Tolonen, H. (2021). Comparison of metabolic syndrome prevalence using four different definitions - a population-based study in Finland. Archives of public health = Archives belges de sante publique, 79(1), 231. https://doi.org/10.1186/s13690-021-00749-3
Haverinen, Elsi, et al. "Comparison of metabolic syndrome prevalence using four different definitions - a population-based study in Finland." Archives of public health = Archives belges de sante publique vol. 79,1 (2021): 231. doi: https://doi.org/10.1186/s13690-021-00749-3
Haverinen E, Paalanen L, Palmieri L, Padron-Monedero A, Noguer-Zambrano I, Sarmiento Suárez R, Tolonen H. Comparison of metabolic syndrome prevalence using four different definitions - a population-based study in Finland. Arch Public Health. 2021 Dec 23;79(1):231. doi: 10.1186/s13690-021-00749-3. PMID: 34949223.
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Arch Public Health. 2021 Dec 23;79(1):231. doi: 10.1186/s13690-021-00749-3.

Comparison of metabolic syndrome prevalence using four different definitions - a population-based study in Finland.

Archives of public health = Archives belges de sante publique

Elsi Haverinen, Laura Paalanen, Luigi Palmieri, Alicia Padron-Monedero, Isabel Noguer-Zambrano, Rodrigo Sarmiento Suárez, Hanna Tolonen,

Affiliations

  1. Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Mannerheimintie 166, 00271, Helsinki, Finland.
  2. Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Mannerheimintie 166, 00271, Helsinki, Finland. [email protected].
  3. Department of Cardiovascular, Endocrine-metabolic Diseases and Aging Istituto Superiore di Sanità (ISS), Via Giano della Bella, 34, 00161, Rome, Italy.
  4. National School of Public Health, Instituto de Salud Carlos III, C/ Monforte de Lemos 5, Madrid, Spain.

PMID: 34949223 DOI: 10.1186/s13690-021-00749-3

Abstract

BACKGROUND: Metabolic syndrome (MetS) is a public health problem in Europe, affecting all age groups. Several MetS definitions are available. The aim of this study was to compare four different MetS definitions in the Finnish adult population, to assess their agreement and to evaluate the impact of the choice of the definition on the prevalence of MetS.

METHODS: Data from FinHealth 2017, a cross-sectional national population health survey, focusing on adults aged 25 years or older were used in the analysis (n=5687). Measured data on anthropometrics, blood pressure and biomarkers together with questionnaire data were used to classify the participants into the MetS categories according to the four definitions. The definitions chosen for the comparison were those by the World Health Organization (WHO) (1998), National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) (2004), International Diabetes Federation (IDF) (2005), and Joint Interim Statement (JIS) (2009).

RESULTS: The four MetS definitions resulted in substantially different MetS prevalence: 17.7% by WHO, 33.3% by NCEP-ATP III, 41.5% by IDF, and 43.0% by JIS. Regardless of the definition used, the prevalence of MetS increased with age. The prevalence of the different components varied between the definitions, depending on the different cut-off points adopted. Out of all participants, only 13.6% were identified to have MetS according to all four definitions. Agreement between participants recognised by different MetS definitions, estimated through kappa coefficients, was almost perfect for IDF vs. JIS (0.97), strong for JIS vs. NCEP-ATP III (0.80), moderate for IDF vs. NCEP-ATP III (0.76) and weak for WHO vs. NCEP-ATP III (0.42), WHO vs. IDF (0.41) and WHO vs. JIS (0.40).

CONCLUSIONS: Differences between observed prevalence of MetS in Finnish men and women using different MetS definitions were large. For cross-country comparisons, as well as for trend analyses within a country, it is essential to use the same MetS definition to avoid discrepancies in classification due to differences in used definitions.

© 2021. The Author(s).

Keywords: Diabetes; Health examination survey; Indicators; Metabolic syndrome; Population health survey; Standardization

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