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Heterogeneity of long-history migration predicts smiling, laughter and positive emotion across the globe and within the United States

Recent findings demonstrate that heterogeneity of long-history migration predicts present-day emotion behaviors and norms. Residents of countries characterized by high ancestral diversity display emotion expressions that are easier to decode by observers, endorse norms of higher emotion expressivity...

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Autores principales: Niedenthal, Paula M., Rychlowska, Magdalena, Wood, Adrienne, Zhao, Fangyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070166/
https://www.ncbi.nlm.nih.gov/pubmed/30067736
http://dx.doi.org/10.1371/journal.pone.0197651
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author Niedenthal, Paula M.
Rychlowska, Magdalena
Wood, Adrienne
Zhao, Fangyun
author_facet Niedenthal, Paula M.
Rychlowska, Magdalena
Wood, Adrienne
Zhao, Fangyun
author_sort Niedenthal, Paula M.
collection PubMed
description Recent findings demonstrate that heterogeneity of long-history migration predicts present-day emotion behaviors and norms. Residents of countries characterized by high ancestral diversity display emotion expressions that are easier to decode by observers, endorse norms of higher emotion expressivity, and smile more in response to certain stimuli than residents of countries that lack ancestral diversity. We build on the extant findings and investigate historical heterogeneity as a predictor of daily smiling, laughter, and positive emotion across the world’s countries and the states of the United States. Study 1 finds that historical heterogeneity is positively associated with self-reports of smiling, laughter, and positive emotions in the Gallup World Poll when controlling for GDP and present-day population diversity. Study 2 extends the findings to effects of long-history migration within the United States. We estimated the average percentage of foreign-born citizens in each state between 1850 and 2010 based on US Census information as an indicator of historical heterogeneity. Consistent with the world findings of Study 1, historical heterogeneity predicted smiling, laughter, and positive, but not negative, emotion. The relationships remained significant when controlling for per capita income and present-day population diversity of each state. Together, the findings further demonstrate the important role of long-history migration in shaping emotion cultures of countries and states, which persist beyond the original socio-ecological conditions, and open promising avenues for cross-cultural research.
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spelling pubmed-60701662018-08-09 Heterogeneity of long-history migration predicts smiling, laughter and positive emotion across the globe and within the United States Niedenthal, Paula M. Rychlowska, Magdalena Wood, Adrienne Zhao, Fangyun PLoS One Research Article Recent findings demonstrate that heterogeneity of long-history migration predicts present-day emotion behaviors and norms. Residents of countries characterized by high ancestral diversity display emotion expressions that are easier to decode by observers, endorse norms of higher emotion expressivity, and smile more in response to certain stimuli than residents of countries that lack ancestral diversity. We build on the extant findings and investigate historical heterogeneity as a predictor of daily smiling, laughter, and positive emotion across the world’s countries and the states of the United States. Study 1 finds that historical heterogeneity is positively associated with self-reports of smiling, laughter, and positive emotions in the Gallup World Poll when controlling for GDP and present-day population diversity. Study 2 extends the findings to effects of long-history migration within the United States. We estimated the average percentage of foreign-born citizens in each state between 1850 and 2010 based on US Census information as an indicator of historical heterogeneity. Consistent with the world findings of Study 1, historical heterogeneity predicted smiling, laughter, and positive, but not negative, emotion. The relationships remained significant when controlling for per capita income and present-day population diversity of each state. Together, the findings further demonstrate the important role of long-history migration in shaping emotion cultures of countries and states, which persist beyond the original socio-ecological conditions, and open promising avenues for cross-cultural research. Public Library of Science 2018-08-01 /pmc/articles/PMC6070166/ /pubmed/30067736 http://dx.doi.org/10.1371/journal.pone.0197651 Text en © 2018 Niedenthal et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Niedenthal, Paula M.
Rychlowska, Magdalena
Wood, Adrienne
Zhao, Fangyun
Heterogeneity of long-history migration predicts smiling, laughter and positive emotion across the globe and within the United States
title Heterogeneity of long-history migration predicts smiling, laughter and positive emotion across the globe and within the United States
title_full Heterogeneity of long-history migration predicts smiling, laughter and positive emotion across the globe and within the United States
title_fullStr Heterogeneity of long-history migration predicts smiling, laughter and positive emotion across the globe and within the United States
title_full_unstemmed Heterogeneity of long-history migration predicts smiling, laughter and positive emotion across the globe and within the United States
title_short Heterogeneity of long-history migration predicts smiling, laughter and positive emotion across the globe and within the United States
title_sort heterogeneity of long-history migration predicts smiling, laughter and positive emotion across the globe and within the united states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070166/
https://www.ncbi.nlm.nih.gov/pubmed/30067736
http://dx.doi.org/10.1371/journal.pone.0197651
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