The association between TSH within the reference range and serum lipid concentrations in a population-based study. The HUNT Study
Abstract
Objective: The association between TSH and serum lipids in people with no apparent thyroid disease is insufficiently understood. We have studied the association between normal thyroid function, defined as TSH within the reference range of a general population, and concentrations of serum lipids. Design: Cross-sectional, population-based study with 30 656 individuals without known thyroid disease. Methods: Using general linear models, we calculated mean concentrations of total serum cholesterol, low-density lipoprotein (LDL) cholesterol, non-high-density lipoprotein (HDL) cholesterol, HDL cholesterol and triglycerides across categories of TSH. Results: Within the reference range of TSH, there was a linear and significant (P for trend <0.001) increase in total serum cholesterol, LDL cholesterol, non-HDL cholesterol and triglycerides, and a linear decrease (P for trend <0.001) in HDL cholesterol with increasing TSH. Subgroup analyses showed statistically significant associations for all lipids in men above 50 years of age, and for triglycerides in all age groups. For women, associations were statistically significant in all age groups except for HDL cholesterol in women below 50 years of age. The associations with triglycerides and HDL cholesterol were stronger among overweight than normal weight individuals. Conclusions: Within the range of TSH that is considered clinically normal, we found that increasing level of TSH was associated with less favourable lipid concentrations. The association with serum lipids was linear across the entire reference range of TSH.
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Higher levels of TSH were associated with worsening of both blood pressure and lipid levels, although these effects were modest.
“In particular higher levels of TSH were associated with worsening of both blood pressure [58–60] and lipid levels [61, 62] although these effects were modest.”
From Age-related variation in thyroid function – a narrative review highlighting important implications for research and clinical practice (2023) · cites this paper as [61]
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- Authors
- Åsvold, B. O., Vatten, L. J., Nilsen, T. I. L., & Bjøro, T.
- Affiliations
- Norwegian University of Science and Technology (NO)
- Oslo University Hospital (NO)
- Corresponding author
- Vatten, Lars J
- Venue
- European Journal of Endocrinology
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-02
- Volume
- 156
- Issue
- 2
- Pages
- 181-186
- ISSN
- 0804-4643 (ISSN-L)
- 1479-683X
- OpenAlex
- W2166928754
- Cited by
- 350
- References
- 21
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 17 · 2023: 21 · 2022: 19 · 2021: 18 · 2020: 25 · 2019: 23 · 2018: 18 · 2017: 19 · 2016: 21 · 2015: 25 · 2014: 24 · 2013: 35 · 2012: 23
- FWCI
- 7.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Endocrinology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Helse Midt-Norge
- Norwegian Institute of Public Health
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Thyroid Disorders and Treatments
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- thyroid-stimulating hormone, serum lipids, total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, non-HDL cholesterol, thyroid function, overweight, sex differences, age differences, HUNT study
- MeSH terms
- Adult, Aged, Cross-Sectional Studies, Female, Humans, Hyperlipidemias, Lipids, Cholesterol, HDL, Cholesterol, LDL, Male, Middle Aged, Obesity, Reference Values, Risk Factors, Thyroid Gland, Thyrotropin, Thyroxine, Triglycerides, Biomarkers, Linear Models, Age Distribution, Sex Distribution
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.
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