Hanel, Paul HP and da Silva, Sara MG and Inman, Richard A (2022) Using public datasets to understand the psychological correlates of smoking, alcohol consumption, and obesity: A country-level analysis. Cross-Cultural Research, 56 (2-3). pp. 99-124. DOI https://doi.org/10.1177/10693971211062130
Hanel, Paul HP and da Silva, Sara MG and Inman, Richard A (2022) Using public datasets to understand the psychological correlates of smoking, alcohol consumption, and obesity: A country-level analysis. Cross-Cultural Research, 56 (2-3). pp. 99-124. DOI https://doi.org/10.1177/10693971211062130
Hanel, Paul HP and da Silva, Sara MG and Inman, Richard A (2022) Using public datasets to understand the psychological correlates of smoking, alcohol consumption, and obesity: A country-level analysis. Cross-Cultural Research, 56 (2-3). pp. 99-124. DOI https://doi.org/10.1177/10693971211062130
Abstract
In the present research, we investigate whether cultural value orientations (CVOs) and aggregate personality traits (Big-5) predict actual levels of alcohol consumption, smoking, and obesity across 50 countries using averages derived from millions of data points. Aggregate traits explained variance above and beyond CVOs in obesity (particularly neuroticism and extraversion), while CVOs explained variance beyond aggregate traits in alcohol consumption (particularly harmony and hierarchy). Smoking did not appear to be strongly linked to aggregated traits or CVOs. We conclude that an understanding of the cultural correlates of risky health behaviours may help inform important policies and interventions for meeting international sustainable development goals.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | public data; smoking; obesity; alcohol; health; personality traits; cultural value orientations |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Psychology, Department of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 11 Nov 2021 11:56 |
Last Modified: | 16 May 2024 20:57 |
URI: | http://repository.essex.ac.uk/id/eprint/31419 |
Available files
Filename: 10693971211062130.pdf
Licence: Creative Commons: Attribution 3.0