Evidence map›Paper›PMID 30314998›Full record

ArticleJournal of lipid research2018

Does pregnancy alter life-course lipid trajectories? Evidence from the HUNT Study in Norway.

Amanda R Markovitz, Eirin B Haug, Julie Horn, Abigail Fraser, Corrie Macdonald-Wallis, Kate Tilling, Eric B Rimm, Stacey A Missmer, Paige L Williams, Pål R Romundstad and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

12 authors at 3 institutions in 3 countries.

Amanda R MarkovitzDepartment of Epidemiology Harvard T.H. Chan School of Public Health, Boston, MA amarkovitz@mail.havard.edu.ORCID 0000-0003-0376-4375
Eirin B HaugDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-8565-9151
Julie HornDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-1344-9707
Abigail FraserPopulation Health Sciences, Bristol Medical School and MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.ORCID 0000-0002-7741-9470
Corrie Macdonald-WallisPopulation Health Sciences, Bristol Medical School and MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.ORCID 0000-0002-4447-3817
Kate TillingPopulation Health Sciences, Bristol Medical School and MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.ORCID 0000-0002-1010-8926
Eric B RimmDepartment of Epidemiology Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0002-1402-7250
Stacey A MissmerDepartment of Epidemiology Harvard T.H. Chan School of Public Health, Boston, MA.
Paige L WilliamsDepartment of Epidemiology Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0001-5692-5545
Pål R RomundstadDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-2061-4336
Bjørn O ÅsvoldK.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway.
Janet W Rich-EdwardsDepartment of Epidemiology Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0001-5066-8808
Harvard University · USNorwegian University of Science and Technology · NOUniversity of Bristol · GB

Funding

PEDIATRIC ONCOLOGY RESEARCH TRAINING PROGRAMT32CA009351 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth R Lawlor, SOHEIL MESHINCHI · 1985 to 2026
$7.0M
Predoctoral Training Program in Reproductive, Perinatal & Pediatric EpidemiologyT32HD060454 · NICHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI MICHELS, KARIN B · 2010 to 2014
$1.1M
Medical Research Council MC_UU_12013/5Medical Research Council MC_UU_12013/9Medical Research Council MR/M009351/1NICHD NIH HHS T32 HD060454
6 · The paper itself

Abstract

We examined the association between pregnancy and life-course lipid trajectories. Linked data from the Nord-Trøndelag Health Study and the Medical Birth Registry of Norway yielded 19,987 parous and 1,625 nulliparous women. Using mixed-effects spline models, we estimated differences in nonfasting lipid levels from before to after first birth in parous women and between parous and nulliparous women. HDL cholesterol (HDL-C) dropped by -4.2 mg/dl (95% CI: -5.0, -3.3) from before to after first birth in adjusted models, a 7% change, and the total cholesterol (TC) to HDL-C ratio increased by 0.18 (95% CI: 0.11, 0.25), with no change in non-HDL-C or triglycerides. Changes in HDL-C and the TC/HDL-C ratio associated with pregnancy persisted for decades, leading to altered life-course lipid trajectories. For example, parous women had a lower HDL-C than nulliparous women at the age of 50 years (-1.4 mg/dl; 95% CI: -2.3, -0.4). Adverse changes in lipids were greatest after first birth, with small changes after subsequent births, and were larger in women who did not breastfeed. Findings suggest that pregnancy is associated with long-lasting adverse changes in HDL-C, potentially setting parous women on a more atherogenic trajectory than prior to pregnancy.

Indexed as

AdultCholesterol, HDLCholesterol, LDLFemaleHumansLipidsMiddle AgedNorwayParityPregnancyRisk FactorsTriglyceridesYoung AdultCholesterol, HDLCholesterol, LDLLipidsTriglyceridescholesterolepidemiologyhigh density lipoproteinmixed modelNord-Trøndelag Health Studyparitysplinetriglycerides

Identifiers

PMID30314998
PMCPMC6277164
OpenAlexW2896625182

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.