Evidence map›Paper›PMID 39196077›Full record

ArticleNature cardiovascular research2022

Age-dependent sex differences in cardiometabolic risk factors.

Daria V Zhernakova, Trishla Sinha, Sergio Andreu-Sánchez, Jelmer R Prins, Alexander Kurilshikov, Jan-Willem Balder, Serena Sanna, Lifelines Cohort Study, Lude Franke, Jan A Kuivenhoven and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Nature cardiovascular research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

  1. Article
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  5. Observational
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  9. Review
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  14. Cardiometabolic deaths in premenopausal black and white women.American journal of preventive cardiology · 2025
    Article
  15. Cardiovascular contributions to dementia: Examining sex differences and female-specific factors.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  16. Article
  17. Article
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  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Daria V ZhernakovaDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. dashazhernakova@gmail.com.ORCID http://orcid.org/0000-0001-6531-3890
Trishla SinhaDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID http://orcid.org/0000-0002-0992-7983
Sergio Andreu-SánchezDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID http://orcid.org/0000-0002-3503-9971
Jelmer R PrinsDepartment of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID http://orcid.org/0000-0002-3984-2163
Alexander KurilshikovDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Jan-Willem BalderDivision of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Serena SannaDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Lifelines Cohort Study
Lude FrankeDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Jan A KuivenhovenDepartment of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Alexandra ZhernakovaDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Jingyuan FuDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID http://orcid.org/0000-0001-5578-1236

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101001768EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 715772Hartstichting (Dutch Heart Foundation) 2015T068Hartstichting (Dutch Heart Foundation) CVON2017-2020Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 016.178.056Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 024.004.017Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 194.006Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 917.14.374
6 · The paper itself

Abstract

Cardiometabolic diseases (CMDs) are a major cause of mortality worldwide, yet men and women present remarkable differences in disease prognosis, onset and manifestation. Here we characterize how sex differences in cardiometabolic risk factors vary with age by examining 45 phenotypes and 6 lifestyle factors in 146,021 participants of the Dutch population cohort Lifelines. We show that sex differences are present in 71% of the studied phenotypes. For 31% of these phenotypes, the phenotypic difference between sexes is dependent on age. CMD risk factors show various patterns of age-related sex differences, ranging from no difference for phenotypes such as body mass index (BMI) to strong age-modified sex differences for lipid levels. We also identify lifestyle factors that influence phenotypes in a sex- and age-dependent manner. These results highlight the importance of taking age into account when studying sex differences in CMDs.

Identifiers

PMID39196077
PMCPMC11357998

What Socratic 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 Socratic graph.