Ontology type: schema:ScholarlyArticle
2017-12
AUTHORSWenqi Wei, Jackson G. Lu, Adam D. Galinsky, Han Wu, Samuel D. Gosling, Peter J. Rentfrow, Wenjie Yuan, Qi Zhang, Yongyu Guo, Ming Zhang, Wenjing Gui, Xiao-Yi Guo, Jeff Potter, Jian Wang, Bingtan Li, Xiaojie Li, Yang-Mei Han, Meizhen Lv, Xiang-Qing Guo, Yera Choe, Weipeng Lin, Kun Yu, Qiyu Bai, Zhe Shang, Ying Han, Lei Wang
ABSTRACTHuman personality traits differ across geographical regions1–5. However, it remains unclear what generates these geographical personality differences. Because humans constantly experience and react to ambient temperature, we propose that temperature is a crucial environmental factor that is associated with individuals’ habitual behavioural patterns and, therefore, with fundamental dimensions of personality. To test the relationship between ambient temperature and personality, we conducted two large-scale studies in two geographically large yet culturally distinct countries: China and the United States. Using data from 59 Chinese cities (N = 5,587), multilevel analyses and machine learning analyses revealed that compared with individuals who grew up in regions with less clement temperatures, individuals who grew up in regions with more clement temperatures (that is, closer to 22 °C) scored higher on personality factors related to socialization and stability (agreeableness, conscientiousness, and emotional stability) and personal growth and plasticity (extraversion and openness to experience). These relationships between temperature clemency and personality factors were replicated in a larger dataset of 12,499 ZIP-code level locations (the lowest geographical level feasible) in the United States (N = 1,660,638). Taken together, our findings provide a perspective on how and why personalities vary across geographical regions beyond past theories (subsistence style theory, selective migration theory and pathogen prevalence theory). As climate change continues across the world, we may also observe concomitant changes in human personality. Personality traits differ across geographical regions, suggesting a role for environmental factors. Wei, Lu, and colleagues show an association between regional ambient temperature and personality in two large studies conducted in China and the United States. More... »
PAGES890-895
http://scigraph.springernature.com/pub.10.1038/s41562-017-0240-0
DOIhttp://dx.doi.org/10.1038/s41562-017-0240-0
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]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41562-017-0240-0'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41562-017-0240-0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41562-017-0240-0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41562-017-0240-0'
This table displays all metadata directly associated to this object as RDF triples.
345 TRIPLES
21 PREDICATES
57 URIs
19 LITERALS
7 BLANK NODES