Evidence map›Paper›PMID 41689075›Full record

ReviewBiology of sex differences2026

Gender "in the wild": toward a person-specific behavioral neuroendocrinology.

Christel Portengen, Esmeralda Hidalgo-Lopez, Ran Yan, Adriene M Beltz

Abstract readReview
In one paragraph

Review in Biology of sex differences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Christel PortengenDepartment of Psychology, University of Michigan, 2227 East Hall, 530 Church Street, Ann Arbor, MI, 48109, USA.
Esmeralda Hidalgo-LopezDepartment of Psychology, University of Michigan, 2227 East Hall, 530 Church Street, Ann Arbor, MI, 48109, USA.
Ran YanDepartment of Psychology, University of Michigan, 2227 East Hall, 530 Church Street, Ann Arbor, MI, 48109, USA.
Adriene M BeltzDepartment of Psychology, University of Michigan, 2227 East Hall, 530 Church Street, Ann Arbor, MI, 48109, USA. abeltz@umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex- and gender-related contributions to behavior "in the wild", as observed in humans in the natural context of their daily lives, can vary strikingly across individuals and be highly enmeshed - so much so that it is impossible to determine whether an average difference between women and men, for instance, reflects biological or sociocultural factors, respectively. Indeed, empirical insights may not just be limited, but may even be distorted, if study designs and data analyses continue to place unique people in ill-assumed homogenous groups for mean-based calculations. Findings may ultimately generalize to no one. An idiographic, or personalized, approach, however, reveals the intricate ways in which sex-related characteristics, such as gonadal hormones, and gender-related experiences combine to matter for behavior. This approach often requires novel data, that is, many repeated observations from the same people on the same variables, and time series analyses. The goal of this article is to briefly review perspectives on sex and gender in research, and then to illustrate how sex- and gender-related factors can be studied together in unique individuals using an idiographic approach. Specifically, person-specific analyses of data from select participants in three different intensive longitudinal studies with 75 or 100 assessment days will showcase unique relations between sex-related neuroendocrinology (i.e., menopause, oral contraceptive use, and puberty) and gender-related self-concepts (i.e., perceptions of masculinity and femininity), or demonstrate links with cognition or mental health. These illustrations will highlight the importance of leveraging methodological innovation to study the individualization of sex and gender, and the necessity of decreasing reliance on sex- and gender-linked assumptions of homogeneity in human neuroendocrine research.

Indexed as

NeuroendocrinologySex CharacteristicsFemaleHumansMaleDepressionHormonal contraceptivesIdiographicIntraindividual variationMenopauseMenstrual cyclePubertySensation seekingSex differencesVerbal skills

Identifiers

PMID41689075
PMCPMC13005522

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Registered trials

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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.