Humor Styles Are Related to Loneliness Across 15 Countries

Julie Aitken Schermer*, Radosław Rogoza, Marija Branković, Oscar Oviedo-Trespalacios, Tatiana Volkodav, Truong Thi Khanh Ha, Maria Magdalena Kwiatkowska, Eva Papazova, Joonha Park, Christopher Marcin Kowalski, Marta Doroszuk, Dzintra Iliško, Sadia Malik, Samuel Lins, Ginés Navarro-Carrillo, Jorge Torres-Marín, Anna Wlodarczyk, Sibele D. Aquino, Georg Krammer

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
27 Downloads (Pure)

Abstract

The relationships between self-report loneliness and the four humor styles of affiliative, aggressive, self-defeating, and self-enhancing were investigated in 15 countries (N = 4,701). Because loneliness has been suggested to be both commonly experienced and detrimental, we examine if there are similar patterns between humor styles, gender, and age with loneliness in samples of individuals from diverse backgrounds. Across the country samples, affiliative and self-enhancing humor styles negatively correlated with loneliness, self-defeating was positively correlated, and the aggressive humor style was not significantly related. In predicting loneliness, 40.5% of the variance could be accounted. Younger females with lower affiliative, lower self-enhancing, and higher self-defeating humor style scores had higher loneliness scores. The results suggest that although national mean differences may be present, the pattern of relationships between humor styles and loneliness is consistent across these diverse samples, providing some suggestions for mental health promotion among lonely individuals.
Original languageEnglish
Pages (from-to)422-436
Number of pages15
JournalEurope's Journal of Psychology
Volume18
Issue number4
DOIs
Publication statusPublished - 2022

Keywords

  • adult
  • gender
  • human
  • humor styles
  • loneliness

Fingerprint

Dive into the research topics of 'Humor Styles Are Related to Loneliness Across 15 Countries'. Together they form a unique fingerprint.

Cite this