UNCERTAINTY AVOIDANCE AS A CULTURAL PREDICTOR OF JUDGMENTS TOWARD CONDOM TELEVISION ADVERTISEMENTS AMONG UNIVERSITY STUDENTS IN KENYA

Authors

  • Nashombe Roy Wafula Jomo Kenyatta University of Agriculture and Technology
  • Mberia Hellen Jomo Kenyatta University of Agriculture and Technology
  • Ngetich Joel University of Kabianga

Abstract

Purpose of the study: The aim of the study was to determine whether Uncertainty Avoidance is a predictor of university students in Kenya, judgements towards condom television advertisements.

Problem statement: Uncertainty Avoidance is the extent to which people are uncomfortable with uncertainty and prefer known, predictable answers. Cultural orientations play a very important role in the reception of messages in health communication, especially in messages that deal with sexuality, threat and morality, like condom TV commercials.

Methodology: Cross section survey method (quantitative) was used in the study. Items used to assess the uncertainty avoidance in judgment of condom television advertisement were structured questionnaires which were answered by the respondents who were University students in Kenya. The answer patterns were measured by descriptive statistics and uncertainty avoidance, and judgement were measured with regression analysis.

Findings: Descriptive results reveal that the participants prioritized solutions to health problems that are organized and reliable with uncertainty-averse types. Social ambivalence, however, was apparent about condom promotion in the public sphere, and continued conservative social norms and taboos about condom promotion were evident, with many respondents seeing the promotion of condoms as immoral. Regression analysis indicated that uncertainty avoidance was not a significant predictor of judgments of condom TV ads (b = 0.041, p < 0.01).

Recommendation: Condom television advertisements that are culturally sensitive, norm-consistent and well-structured should be developed to reflect the social norms of society and reflect public health goals among the youth.

Keywords: Norms, Values, Beliefs, Uncertainty avoidance, Culture

Author Biographies

  • Nashombe Roy Wafula, Jomo Kenyatta University of Agriculture and Technology

    School of Communication and Development Studies, Jomo Kenyatta University of Agriculture and Technology

  • Mberia Hellen, Jomo Kenyatta University of Agriculture and Technology

    School of Communication and Development Studies, Jomo Kenyatta University of Agriculture and Technology

  • Ngetich Joel, University of Kabianga

    School of Education and Social Sciences, University of Kabianga, Kenya

References

Aventin, Á., Gordon, S., Laurenzi, C., Rabie, S., Tomlinson, M., Lohan, M., Stewart, J., Thurston, A., Lohfeld, L., Melendez-Torres, G. J., Makhetha, M., Chideya, Y., & Skeen, S. (2021). Adolescent condom use in Southern Africa: Narrative systematic review and conceptual model of multilevel barriers and facilitators. BMC Public Health, 21, 1228. https://doi.org/10.1186/s12889-021-11306-6

Babbie, E. (2016). The practice of social research (14th ed.). Cengage Learning.

Bartlett, J. E., Kotrlik, J. W., & Higgins, C. C. (2001). Organizational research: Determining appropriate sample size in survey research. Information Technology, Learning, and Performance Journal, 19(1), 43–50.

Beugelsdijk, S., Maseland, R., & Van Hoorn, A. (2015). Are scores on Hofstede’s dimensions of national culture stable over time? A cohort analysis. Global Strategy Journal, 5(3), 223–240.

Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.

Calabrese, S. K., Earnshaw, V. A., Underhill, K., Hansen, N. B., & Dovidio, J. F. (2015). The impact of patient race on clinical decision-making: A systematic review of experimental studies. Journal of General Internal Medicine, 30(7), 994–1003.

Carpenter, C. J. (2019). Cognitive dissonance, ego-involvement, and motivated reasoning. Annals of the International Communication Association, 43(1), 1–23. https://doi.org/10.1080/23808985.2018.1564881

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.

De Mooij, M. (2019). Consumer behavior and culture: Consequences for global marketing and advertising (3rd ed.). SAGE Publications.

De Mooij, M., & Hofstede, G. (2010). The Hofstede model: Applications to global branding and advertising strategy and research. International Journal of advertising, 29(1), 85-110.

De Mooij, M., & Hofstede, G. (2011). Cross-cultural consumer behavior: A review of research findings. Journal of international consumer marketing, 23(3-4), 181-192.

Driver, M., Katz, D. A., Manyeki, V., Mungala, C., Otiso, L., Mugo, C., ... & Wilson, K. (2023). Condom use behaviors, risk perception, and partner communication following oral hiv self-testing among adolescents and young adults in Kenya: a cohort study. AIDS and Behavior, 27(6), 1727-1740.

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4.

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.

Fink, A. (2013). How to conduct surveys: A step-by-step guide (5th ed.). SAGE Publications.

Gelfand, M. J., Raver, J. L., Nishii, L., Leslie, L. M., Lun, J., Lim, B. C., & Yamaguchi, S. (2011). Differences between tight and loose cultures: A 33-nation study. Science, 332(6033), 1100–1104.

Griffin, E. M. (2006). A first look at communication theory. McGraw-hill.

Harmon-Jones, E., & Mills, J. (2019). Cognitive dissonance: Reexamining a pivotal theory in psychology (2nd ed.). American Psychological Association.

Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (3rd ed.). McGraw-Hill.

Israel, G. D. (2013). Determining sample size. University of Florida Cooperative Extension Service, Fact Sheet PEOD-6.

Kirby, D., Laris, B. A., & Rolleri, L. (2007). Sex and HIV education programs: Their impact on sexual behaviors of young people throughout the world. Journal of Adolescent Health, 40(3), 206–217.

KNBS (Kenya National Bureau of Statistics). (2020). Kenya population and housing census 2019: Volume II distribution of population by administrative units. Government of Kenya.

Kumar, R. (2020). Research methodology: A step-by-step guide for beginners (5th ed.). SAGE Publications.

Maticka-Tyndale, E. (2012). Condoms in sub-Saharan Africa. Sexual health, 9(1), 59-72.

Mbatia, W. (2018). The role of advertisements in behavior change: A case of condom uptake among Daystar University and University of Nairobi students (Master’s thesis, Daystar University). Daystar University Repository.

Moura, R. C., Singh, N., & Chun, W. (2016). The influence of national culture on advertising appeals: A cross-cultural study. Journal of International Consumer Marketing, 28(2), 90–104.

Mugambi, J., & Mbugua, S. (2019). Religious beliefs and attitudes toward sexual health communication among youth in Kenya. African Journal of Health Sciences, 32(2), 45–56.

Muhanga, M. I., Jesse, A. M., & Allan, T. T. (2024). Condom use among youths in sub-Saharan Africa: A narrative review on the myths, misconceptions, and challenges. Health & Social Care in the Community, 2024, Article 8960943. https://doi.org/10.1155/2024/8960943

NACC (National AIDS Control Council). (2021). Kenya HIV estimates report 2021. Nairobi: NACC.

Nesidai, K. B. A., Ng’ang’a, Z., Mwangi, M., & Wanzala, P. (2020). Knowledge, attitude and practice factors associated with condom use among undergraduate students of a public university in Kenya (A case of Jomo Kenyatta University of Agriculture and Technology). African Journal of Health Sciences, 19(3–4), 41–52. https://doi.org/10.4314/ajhs.v19i3-4.201477

Noar, S. M., Hall, M. G., Francis, D. B., Ribisl, K. M., Pepper, J. K., & Brewer, N. T. (2016). Pictorial cigarette pack warnings: a meta-analysis of experimental studies. Tobacco control, 25(3), 341-354.

Noar, S. M., Harrington, N. G., & Aldrich, R. S. (2016). The role of message framing in HIV prevention communication. Health Communication, 31(1), 1–10.

Petty, R. E., Cacioppo, J. T., & Kasmer, J. A. (2015). The role of affect in the elaboration likelihood model of persuasion. In Communication, social cognition, and affect (PLE: Emotion) (pp. 117-146). Psychology Press.

Schramm, H., Olbermann, Z., & Mayer, F. (2024). The involvement concept—replaceable or irreplaceable? A case for a conceptual analysis of a core concept of media psychological communication research. Frontiers in Psychology, 15, 1395895. https://doi.org/10.3389/fpsyg.2024.1395895

Schwartz, S. H. (2012). An overview of the Schwartz theory of basic values. Online Readings in Psychology and Culture, 2(1), Article 11.

Setia, M. S. (2016). Methodology series module 3: Cross-sectional studies. Indian Journal of Dermatology, 61(3), 261–264.

Sherif, M., & Hovland, C. I. (1961). Social judgment: Assimilation and contrast effects in communication and attitude change. Yale University Press.

UNAIDS. (2021). Global HIV & AIDS statistics — Fact sheet. UNAIDS.

Wadham, E., Green, J., & Debattista, J. (2019). Cultural framing and acceptability of sexual health messages in sub-Saharan Africa. Health Promotion International, 34(4), 789–799.

Winskell, K., Obyerodhyambo, O., & Stephenson, R. (2017). Making sense of condoms: Social representations in young people’s HIV-related narratives in Kenya. Social Science & Medicine, 174, 94–103.

Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper & Row.

Zhang, Y., & Gelb, B. D. (2014). Matching advertising appeals to culture: The influence of products’ use conditions. Journal of Advertising, 25(3), 29–46.

Downloads

Published

2026-06-03

Issue

Section

Articles

How to Cite

UNCERTAINTY AVOIDANCE AS A CULTURAL PREDICTOR OF JUDGMENTS TOWARD CONDOM TELEVISION ADVERTISEMENTS AMONG UNIVERSITY STUDENTS IN KENYA. (2026). African Journal of Emerging Issues, 8(12), 108-129. https://ajoeijournal.org/sys/index.php/ajoei/article/view/1163