Evidence map›Paper›PMID 42031484›Full record

ArticleBMJ open2026

Individuals with the metabolic syndrome without diabetes and/or hypertension: which risk factors should healthcare workers pay extra attention to? A longitudinal, cross-sectional study.

Per Nordin, Ulf Lindblad, Kristin Ottarsdottir, Bledar Daka, Margareta Hellgren

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Per NordinSkaraborg Institute, Skövde, Sweden.
Ulf LindbladFamily Medicine, School of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg Institute of Medicine, Gothenburg, Sweden.
Kristin OttarsdottirFamily Medicine, School of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg Institute of Medicine, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-5890-0648
Bledar DakaFamily Medicine, School of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg Institute of Medicine, Gothenburg, Sweden.
Margareta HellgrenSkaraborg Institute, Skövde, Sweden margareta.hellgren@gu.se.ORCID http://orcid.org/0000-0001-8773-3968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the metabolic syndrome (MetS) and its components as risk factors for a cardiovascular (CV) event, in individuals without diabetes and/or hypertension, and to explore which of the risk factors are the most predictive for cardiovascular disease (CVD) and whether the assessment of risk could be simplified.

designA longitudinal, cross-sectional study.

settingA randomly selected population.

participantsIn 2002-2005, 2816 randomly selected residents of Skaraborg, Sweden, underwent physical examinations and blood tests as part of the Skaraborg Project. Exclusion of individuals with diabetes mellitus and/or hypertension at baseline left 2328 persons for analyses. OUTCOME MEASURES: CV events were assessed in 2011 using national Swedish registers.

resultsA total of 293 (13%) were defined as having the MetS according to the National Cholesterol Education Programme (NCEP) and 292 according to the International Diabetes Federation (IDF) definition, whereof 27 had a CV event after a mean follow-up time of 9.7 years. The MetS according to NCEP was significantly predictive of a CVD with an HR 2.4 (95% CI 1.4 to 3.9) but not according to the IDF definition. Blood pressure was significantly predictive according to both definitions (HR 1.77, 95% CI 1.06 to 2.97). Also, triglycerides (Tg) were significantly predictive for a CV event (HR 2.05, 95% CI 1.17 to 3.59). Neither waist circumference, high-density lipoprotein nor fasting plasma glucose was predictive for a CV event. Combining a blood pressure ≥125/≥80 mm Hg with Tg ≥1.5 mmol/L was predictive for CVD (HR 2.1, 95% CI 1.3 to 3.6) with a sensitivity of 32.5% and numbers needed to examine (NNE) 7.1. Lowering the cut-off for Tg to ≥1.2 mmol/L (HR 2.1, 95% CI 1.3 to 3.4) increased sensitivity to 44.9% and NNE became 8.

conclusionsUsing blood pressure combined with Tg was shown to be an equally good predictor for CVD as the complete MetS in individuals without diagnosed diabetes or hypertension. Therefore, healthcare personnel should pay attention to individuals with a borderline blood pressure, and if equivalent to or equal to 125/85, continue with measuring Tg for a discussion concerning lifestyle.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeAdultAgedCross-Sectional StudiesDiabetes MellitusFemaleHeart Disease Risk FactorsHumansHypertensionLongitudinal StudiesMaleMiddle AgedRisk AssessmentRisk FactorsSwedenOverweightPrehypertensionPrimary Care

Identifiers

PMID42031484
PMCPMC13110558

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.