Evidence map›Paper›PMID 39419617›Full record

ArticleBMJ open2024

Associations between body height and cardiovascular risk factors in women and men: a population-based longitudinal study based on The Tromsø Study 1979-2016.

Sondre Haakonson Arntsen, Tom Wilsgaard, Kristin Benjaminsen Borch, Inger Njolstad, Anne Helen Hansen

Abstract read
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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sondre Haakonson ArntsenDepartment of Community Medicine, UiT The Arctic University of Norway, Tromso, Norway sondre.h.arntsen@uit.no.ORCID 0000-0001-9136-7307
Tom WilsgaardDepartment of Community Medicine, UiT The Arctic University of Norway, Tromso, Norway.ORCID 0000-0002-2709-9472
Kristin Benjaminsen BorchDepartment of Community Medicine, UiT The Arctic University of Norway, Tromso, Norway.
Inger NjolstadDepartment of Community Medicine, UiT The Arctic University of Norway, Tromso, Norway.
Anne Helen HansenDepartment of Community Medicine, UiT The Arctic University of Norway, Tromso, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesInvestigate associations between body height and cardiovascular disease risk factors at several time points in women and men across educational levels in Norway.

designPopulation-based longitudinal study.

settingThe Tromsø Study, a population-based study with six surveys conducted between 1979 and 2016 in the municipality of Tromsø, Norway. PRIMARY AND SECONDARY OUTCOME MEASURES: Body height, systolic blood pressure, diastolic blood pressure, serum total cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and self-reported educational level.

participants23 512 women and men (49.6% women), aged 30-49 years at first participation in The Tromsø Study. Participants who attended more than one survey contributed with repeated measurements for blood pressure and lipids.Blood pressure and lipid values were used as dependent variables in sex specific age-adjusted linear mixed models. Body height at first participation was the independent variable, while survey time point and educational level were used as covariates.

resultsOverall effect models showed inverse associations between body height and systolic blood pressure (reg. coefficients: -0.88 (95% CI -1.1, -0.6)), diastolic blood pressure (-0.41 (95% CI -0.6, -0.3)), serum total cholesterol (-0.12 (95% CI -0.1, -0.1)) and triglycerides (-0.06 (95% CI -0.1, -0.0)) in women. Inverse associations between body height and lipid variables were also observed in men (serum total cholesterol: -0.12 (95% CI -0.1, -0.1) triglycerides -0.05 (95% CI -0.1, -0.0)). Regression coefficients for associations between body height and cardiovascular risk factors varied across surveys. Overall, there were no associations between body height and cardiovascular risk factors based on educational level and survey.

conclusionThe overall effect models support previous findings of inverse associations between body height and cardiovascular risk factors in women, and inverse associations between body height and lipids in men. Our study showed varied degrees of associations between body height and cardiovascular risk factors at different time points in Norway.

Indexed as

Blood PressureBody HeightCardiovascular DiseasesEducational StatusHeart Disease Risk FactorsAdultCholesterolCholesterol, HDLFemaleHumansLongitudinal StudiesMaleMiddle AgedNorwayRisk FactorsTriglyceridesCholesterolCholesterol, HDLTriglyceridesBlood PressureCardiac EpidemiologyObservational StudyPublic HealthSocial Medicine

Identifiers

PMID39419617
PMCPMC11487855

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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.