50 research outputs found

    Gender-Role Portrayals in Television Advertising Across the Globe

    No full text
    Although there are numerous studies on gender-role portrayals in television advertising, comparative designs are clearly lacking. With content analytical data from a total of 13 Asian, American, and European countries, we study the stereotypical depiction of men and women in television advertisements. Our sample consists of 1755 ads collected in May 2014. Analyzing the gender of the primary character and voiceover, as well as the age, associated product categories, home- or work setting, and the working role of the primary character, we concluded that gender stereotypes in TV advertising can be found around the world. A multilevel model further showed that gender stereotypes were independent of a country’s gender indices, including Hofstede’s Masculinity Index, GLOBE’s Gender Egalitarianism Index, the Gender-related Development Index, the Gender Inequality Index, and the Global Gender Gap Index. These findings suggest that gender stereotyping in television advertising does not depend on the gender equality prevalent in a country. The role of a specific culture in shaping gender stereotypes in television advertising is thus smaller than commonly thought

    Additional file 21 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

    No full text
    Additional file 21: Table S13. Characteristics of replication cohorts (as provided by each participating cohort)

    Additional file 17 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

    No full text
    Additional file 17: Table S9. PheWAS UKB-MVP meta-analysis results for each index lipid variant at Bonferroni threshold for multiple testing

    Additional file 2 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

    No full text
    Additional file 2: Table S2. Association results for the multi-ancestry index SNPs with the gene prioritization
    corecore