| Literature DB >> 27069671 |
Gustav Nilsonne1, Adam Renberg2, Sandra Tamm1, Mats Lekander1.
Abstract
According to disease avoidance theory, selective pressures have shaped adaptive behaviours to avoid people who might transmit infections. Such behavioural immune defence strategies may have social and societal consequences. Attractiveness is perceived as a heuristic cue of good health, and the relative importance of attractiveness is predicted to increase during high disease threat. Here, we investigated whether politicians' attractiveness is more important for electoral success when disease threat is high, in an effort to replicate earlier findings from the USA. We performed a cross-sectional study of 484 members of the House of Commons from England and Wales. Publicly available sexiness ratings (median 5883 ratings/politician) were regressed on measures of disease burden, operationalized as infant mortality, life expectancy and self-rated health. Infant mortality in parliamentary constituencies did not significantly predict sexiness of elected members of parliament (p = 0.08), nor did life expectancy (p = 0.06), nor self-rated health (p = 0.55). Subsample analyses failed to provide further support for the hypothesis. In conclusion, an attractive leader effect was not amplified by disease threat in the UK and these results did not replicate those of earlier studies from the USA concerning the relationship between attractiveness, disease threat and voting preference.Entities:
Keywords: attractiveness; behavioural immune system; disease avoidance; disease threat; self-rated health; voting behaviour
Year: 2016 PMID: 27069671 PMCID: PMC4821282 DOI: 10.1098/rsos.160049
Source DB: PubMed Journal: R Soc Open Sci ISSN: 2054-5703 Impact factor: 2.963
Figure 1.(a) Infant mortality and rated sexiness. (b) Life expectancy and rated sexiness. (c) Self-rated health and rated sexiness. Rated sexiness is shown as residuals after adjusting for political party and sex. Open circles are male members of parliament; closed circles are female members. Red lines show linear regressions; blue lines show loess predictions.