Evidence map›Paper›PMID 33461607›Full record

ArticleBiology of sex differences2021

Gender score development in the Berlin Aging Study II: a retrospective approach.

Ahmad Tauseef Nauman, Hassan Behlouli, Nicholas Alexander, Friederike Kendel, Johanna Drewelies, Konstantinos Mantantzis, Nora Berger, Gert G Wagner, Denis Gerstorf, Ilja Demuth and 2 more

Abstract read
In one paragraph

Article in Biology of sex differences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
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  4. Integrating gender medicine into modern healthcare: Progress and barriers.European journal of clinical investigation · 2025
    Review
  5. Observational
  6. Article
  7. Article
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  10. Review
  11. Article
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  17. Observational
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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.

Ahmad Tauseef NaumanBerlin Institute for Gender in Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany. ahmed.nauman@charite.de.
Hassan BehlouliCentre for Outcomes Research & Evaluation, Research Institute of the McGill University Health Centre, Department of Medicine, McGill University, Montreal, Canada.
Nicholas AlexanderBerlin Institute for Gender in Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Friederike KendelGender in Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Johanna DreweliesDepartment of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
Konstantinos MantantzisDepartment of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
Nora BergerMedical Clinic for Endocrinology, Biology of Aging group, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Gert G WagnerSocioEconomic Panel at the German Institute for Economic Research (DIW), Berlin, Germany.
Denis GerstorfDepartment of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
Ilja DemuthMedical Clinic for Endocrinology, Biology of Aging group, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Louise PiloteDZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.
Vera Regitz-ZagrosekBerlin Institute for Gender in Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany. vrz@charite.de.

Funding

Bundesministerium für Bildung und Forschung 01GL1716ABundesministerium für Bildung und Forschung 01GL1716B
6 · The paper itself

Abstract

In addition to biological sex, gender, defined as the sociocultural dimension of being a woman or a man, plays a central role in health. However, there are so far few approaches to quantify gender in a retrospective manner in existing study datasets. We therefore aimed to develop a methodology that can be retrospectively applied to assess gender in existing cohorts. We used baseline data from the Berlin Aging Study II (BASE-II), obtained in 2009-2014 from 1869 participants aged 60 years and older. We identified 13 gender-related variables and used them to construct a gender score by using primary component and logistic regression analyses. Of these, nine variables contributed to a gender score: chronic stress, marital status, risk-taking behaviour, personality attributes: agreeableness, neuroticism, extraversion, loneliness, conscientiousness, and level of education. Females and males differed significantly in the distribution of the gender score, but a significant overlap was also found. Thus, we were able to develop a gender score in a retrospective manner from already collected data that characterized participants in addition to biological sex. This approach will allow researchers to introduce the notion of gender retrospectively into a large number of studies.

Indexed as

AgingSex CharacteristicsAgedFemaleHumansMaleMiddle AgedNeuroticismPersonalityRetrospective StudiesAgingBASE-IIBerlin Aging Study IIGenderGender scoreSex

Identifiers

PMID33461607
PMCPMC7814714

What OpenQuestion holds

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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.