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Gender score development in the Berlin Aging Study II: a retrospective approach
Ahmad Tauseef Nauman1,2,3, Hassan Behlouli4, Nicholas Alexander5,6,7
1Berlin Institute for Gender in Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany. ahmed.nauman@charite.de.
Biology of Sex Differences
|January 19, 2021
Summary
Researchers developed a new method to measure gender, a social factor influencing health, using existing data. This gender score, derived from variables like education and personality, can be applied retrospectively to studies.
Area of Science:
- Gerontology
- Sociology
- Public Health
Background:
- Biological sex and gender significantly impact health outcomes.
- Quantifying gender retrospectively in existing datasets is challenging.
- Sociocultural factors require robust measurement for health research.
Purpose of the Study:
- To develop a methodology for retrospectively assessing gender in established cohort studies.
- To construct a quantifiable gender score using existing data.
- To enable the inclusion of gender as a variable in past research.
Main Methods:
- Utilized baseline data from the Berlin Aging Study II (BASE-II) (2009-2014).
- Identified 13 gender-related variables from 1869 participants aged 60+.
- Employed principal component and logistic regression analyses to create a gender score from nine key variables (e.g., chronic stress, education, personality traits).
Main Results:
- A significant gender score was developed, differentiating between females and males.
- Nine variables, including chronic stress, marital status, risk-taking, personality traits (agreeableness, neuroticism, extraversion, conscientiousness), loneliness, and education level, contributed to the score.
- A notable overlap in gender score distribution between sexes was observed, reflecting the complexity of gender.
Conclusions:
- A validated method for retrospectively quantifying gender from existing data has been established.
- This gender score provides additional insight beyond biological sex in health research.
- The approach facilitates the integration of gender analysis into a wide range of previously collected studies, enhancing their scope and applicability.
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