Evidence map›Paper›PMID 36959612›Full record

ArticleEmerging themes in epidemiology2023

Explaining biological differences between men and women by gendered mechanisms.

Hélène Colineaux, Lola Neufcourt, Cyrille Delpierre, Michelle Kelly-Irving, Benoit Lepage

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Article in Emerging themes in epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Hélène ColineauxEQUITY Team, CERPOP, INSERM, 37 Allees Jules Guesde, 31062, Toulouse, France. helene.colineaux@inserm.fr.
Lola NeufcourtEQUITY Team, CERPOP, INSERM, 37 Allees Jules Guesde, 31062, Toulouse, France.
Cyrille DelpierreEQUITY Team, CERPOP, INSERM, 37 Allees Jules Guesde, 31062, Toulouse, France.
Michelle Kelly-Irving *EQUITY Team, CERPOP, INSERM, 37 Allees Jules Guesde, 31062, Toulouse, France.
Benoit Lepage *EQUITY Team, CERPOP, INSERM, 37 Allees Jules Guesde, 31062, Toulouse, France.

Funding

Gendhi-Synergy grant agreement (Horizon 2020 European research Council) SGY2019-856478GINCO Project (ANR) ANR-19-CE41-0014Healthy Choices project (Research Council of Norway) 289440
6 · The paper itself

Abstract

backgroundThe principal aim of this study was to explore if biological differences between men and women can be explained by gendered mechanisms.

methodsWe used data from the 1958 National Child Development Study, including all the living subjects of the cohort at the outcome collection wave (44-45 years). We explored several biomarkers as outcomes: systolic blood pressure, triglycerides, LDL cholesterol, HbA1c, CRP, and cortisol. Three conceptualizations of gender have been used to define methodological strategies: (a) Gender as an individual characteristic; (b) Gender as an effect of sex on socio-behavioural characteristics; (c) Gender as an interaction between sex and the social environment, here the early-life social environment. We estimated the total effect of sex and the proportion of total effect of sex at birth eliminated by gender, measured by 3 different ways according to these 3 concepts, using g-computation.

resultsThe average level of each biomarker was significantly different according to sex at birth, higher in men for cardiometabolic biomarkers and higher in women for inflammatory and neuroendocrine biomarkers. The sizes of the differences were always smaller than one standard deviation but were larger than differences due to early-life deprivation, except for CRP. We observed gender mechanisms underlying these differences between men and women, even if the mediation effects were rarely statistically significant. These mechanisms were of three kinds: (1) mediation by socio-behavioural characteristics; (2) attenuation by gendered mechanisms; (3) interaction with early social environment. Indeed, we observed that being born into a deprived rather than non-deprived family increased metabolic and inflammatory biomarkers levels more strongly in females than in males.

conclusionsThe biological differences between men and women seem to not be purely explained by biological mechanisms. The exploration of gender mechanisms opens new perspectives, in terms of methodology, understanding and potential applications.

Indexed as

Allostatic loadBiomarkerCausal frameworkEmbodimentGenderMediation analysisSex

Identifiers

PMID36959612
PMCPMC10037796

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