{"title":"Self-esteem, but not narcissism, positively predicts fertility across the cultures","authors":"Janko Međedović","doi":"10.1016/j.paid.2024.113029","DOIUrl":null,"url":null,"abstract":"<div><div>Estimating the links between behavioral traits and fertility (e.g., number of children) is a fundamental step in the analysis of contemporary natural selection on behavioral traits. Self-esteem and narcissism are two frequently examined personality traits with partially shared content, but their associations with fertility are rarely analyzed. We examined these associations using a publicly available, large intercultural database (<em>N</em> = 43,029; 65 countries). We fitted multilevel Poisson regressions with random slopes; furthermore, we analyzed the interactions between personality traits, participants' sex, and the size of their settlement (urban vs. rural) in the prediction of the number of children. The results showed that self-esteem positively predicted fertility, while narcissism had no contribution to the prediction; significant variations in these effects across countries were captured as well. Interactions showed that the positive link between self-esteem and fertility was particularly expressed in males and in urban environments; conversely, narcissism showed a negative association with fertility in rural settlements. The data suggest that self-esteem may be under positive directional selection, which has implications for the evolutionary personality ecology in contemporary human populations.</div></div>","PeriodicalId":48467,"journal":{"name":"Personality and Individual Differences","volume":"236 ","pages":"Article 113029"},"PeriodicalIF":3.5000,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Personality and Individual Differences","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0191886924004896","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, SOCIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Estimating the links between behavioral traits and fertility (e.g., number of children) is a fundamental step in the analysis of contemporary natural selection on behavioral traits. Self-esteem and narcissism are two frequently examined personality traits with partially shared content, but their associations with fertility are rarely analyzed. We examined these associations using a publicly available, large intercultural database (N = 43,029; 65 countries). We fitted multilevel Poisson regressions with random slopes; furthermore, we analyzed the interactions between personality traits, participants' sex, and the size of their settlement (urban vs. rural) in the prediction of the number of children. The results showed that self-esteem positively predicted fertility, while narcissism had no contribution to the prediction; significant variations in these effects across countries were captured as well. Interactions showed that the positive link between self-esteem and fertility was particularly expressed in males and in urban environments; conversely, narcissism showed a negative association with fertility in rural settlements. The data suggest that self-esteem may be under positive directional selection, which has implications for the evolutionary personality ecology in contemporary human populations.
期刊介绍:
Personality and Individual Differences is devoted to the publication of articles (experimental, theoretical, review) which aim to integrate as far as possible the major factors of personality with empirical paradigms from experimental, physiological, animal, clinical, educational, criminological or industrial psychology or to seek an explanation for the causes and major determinants of individual differences in concepts derived from these disciplines. The editors are concerned with both genetic and environmental causes, and they are particularly interested in possible interaction effects.