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Racial Disparities in Cleanliness Attitudes Mediate Purchasing Attitudes Toward Cleaning Products: a Serial Mediation Model

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Abstract

The present study has three objectives (1) to examine whether there are differences in cleanliness concerns between African Americans and European Americans toward kitchen items that are known to be vectors of disease, (2) to examine whether disparities in cleanliness attitudes have an impact on purchasing attitudes toward kitchen cleaning products, and (3) to explore the mechanisms that may account for these differences utilizing a serial mediation model. Five hundred participants, 50% African American and 50% European American were shown a picture of a sponge cleaning product and filled out multiple survey instruments relating to cleanliness attitudes. We found greater concern with cleanliness of kitchen items (d = .46) and a greater willingness to purchase cleaning products among African Americans compared to European Americans (17 vs 10%). A serial mediation analysis revealed that general cleanliness concerns account for the increased willingness to spend money on cleaning products among African Americans. These results suggest that African Americans are more sensitive to issues of cleanliness compared to European Americans and, in particular, are more sensitive to cleanliness of kitchen items such as sponges, which can be vectors of food-borne pathogens. Potential reasons for the observed racial disparities in cleanliness attitudes and the implications of these results for public health are discussed.

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References

  1. Ann, P. (2014). Evaluation of the domestic environment as a reservoir for foodborne pathogens: identification of consumer practices associated with microbial contamination in the home, (May).

  2. Arbour M, Corwin EJ, Salsberry P. Douching patterns in women related to socioeconomic and racial/ethnic characteristics. Journal of Obstetric, Gynecologic, & Neonatal Nursing: Clinical Scholarship for The Care of Women, Childbearing Families, & Newborns. 2009;38(5):577–85.

    Article  Google Scholar 

  3. Bohannon J. Mechanical Turk upends social sciences. Science. 2016;352(6291):1263–4.

    Article  PubMed  CAS  Google Scholar 

  4. Brown JM, Poirot E, Hess KL, Brown S, Vertucci M, Hezareh M. Motivations for intravaginal product use among a cohort of women in Los Angeles. PLoS One. 2016;11(3):e0151378.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Buhrmester M, Kwang T, Gosling SD. Amazon’s Mechanical Turk a new source of inexpensive, yet high-quality, data? Perspect Psychol Sci. 2011;6(1):3–5.

    Article  PubMed  Google Scholar 

  6. Bureau of Labor Statistics. (2015). Table 2100. Race of reference person: annual means, standard errors and coefficients of variation. Consumer Expenditure Survey, 2015.

  7. Chandler, J., & Shapiro, D. (2016). Conducting clinical research using crowdsourced convenience samples. Annual Review of Clinical Psychology, 12.

  8. Chang M, Groseclose SL, Zaidi AA, Braden CR. An ecological analysis of sociodemographic factors associated with the incidence of salmonellosis, shigellosis, and E. coli O157: H7 infections in US counties. Epidemiol Infect. 2009;137(06):810–20.

    Article  PubMed  CAS  Google Scholar 

  9. Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression based approach. Guilford Press; 2013.

  10. Hilton AC, Austin E. The kitchen dishcloth as a source of and vehicle for foodborne pathogens in a domestic setting. Int J Environ Health Res. 2000;10(3):257–61. doi:https://doi.org/10.1080/09603120050127202.

    Article  Google Scholar 

  11. John OP, Robins RW, Pervin LA. Handbook of personality: Theory and research. New York; 2008.

  12. Josephson KL, Rubino JR, Pepper IL. Characterization and quantification of bacterial pathogens and indicator organisms in household kitchens with and without the use of a disinfectant cleaner. J Appl Microbiol. 1997;83(6):737–50. doi:https://doi.org/10.1046/j.1365-2672.1997.00308.x.

    Article  PubMed  CAS  Google Scholar 

  13. Kusumaningrum, H. D., van Putten, M. M., Rombouts, F. M., & Beumer, R. R. (2002). Effects of antibacterial dishwashing liquid on foodborne pathogens ..., 1, 5–237.

  14. Litman L, Robinson J, Rosenzweig C. The relationship between motivation, monetary compensation, and data quality among US-and India-based workers on Mechanical Turk. Behav Res Methods. 2015;47(2):519–28.

  15. Litman L, Robinson J, Abberbock T. TurkPrime.com: a versatile crowdsourcing data acquisition platform for the behavioral sciences. Behav Res Methods. 2017;49(2):433–42.

    Article  PubMed  Google Scholar 

  16. Nyachuba DG. Foodborne illness: is it on the rise? Nutr Rev. 2010;68(5):257–69.

    Article  PubMed  Google Scholar 

  17. Olatunji BO, Tomarken A, Zhao M. Effects of exposure to stereotype cues on contamination aversion and avoidance in African Americans. J Soc Clin Psychol. 2014;33(3):229–49.

    Article  Google Scholar 

  18. Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010). Running experiments on amazon mechanical turk.

  19. Pervin, L. A., & John, O. P. (Eds.). (1999). Handbook of personality: theory and research. Elsevier.

  20. Pouillot R, Hoelzer K, Jackson KA, Henao OL, Silk BJ. Relative risk of listeriosis in Foodborne Diseases Active Surveillance Network (FoodNet) sites according to age, pregnancy, and ethnicity. Clin Infect Dis. 2012;54(suppl 5):S405–10.

    Article  PubMed  Google Scholar 

  21. Preacher KJ, Rucker DD, Hayes AF. Addressing moderated mediation hypotheses: theory, methods, and prescriptions. Multivar Behav Res. 2007;42(1):185–227.

  22. Quinlan JJ. Foodborne illness incidence rates and food safety risks for populations of low socioeconomic status and minority race/ethnicity: a review of the literature. Int J Environ Res Public Health. 2013;10(8):3634–52. doi:https://doi.org/10.3390/ijerph10083634.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Rusin, P., & Gerba, C. (1998). Reduction of faecal coliform , coliform and heterotrophic plate count bacteria in the household kitchen and bathroom by disinfection with hypochlorite cleaners, (1985), 819–828.

  24. Samuel MC, Vugia DJ, Shallow S, Marcus R, Segler S, McGivern T, et al. Epidemiology of sporadic Campylobacter infection in the United States and declining trend in incidence, FoodNet 1996–1999. Clin Infect Dis. 2004;38(Supplement 3):S165–74.

    Article  PubMed  Google Scholar 

  25. Sanavio E. Obsessions and compulsions: the Padua inventory. Behav Res Ther. 1988;26(2):169–77.

    Article  PubMed  CAS  Google Scholar 

  26. Scallan E, Hoekstra RM, Angulo FJ, Tauxe RV, Widdowson MA, Roy SL, Jones LJ, Griffin PM. Foodborne illness acquired in the United States—major pathogens. Emerg Infect Dis. 2011;17(1)

  27. Scott E. Hygiene issues in the home. Am J Infect Control. 1999;27(6):S22–5. doi:https://doi.org/10.1016/S0196-6553(99)70038-6.

    Article  PubMed  CAS  Google Scholar 

  28. Silk BJ, Date KA, Jackson KA, Pouillot R, Holt KG, Graves LM, et al. Invasive listeriosis in the Foodborne Diseases Active Surveillance Network (FoodNet), 2004–2009: further targeted prevention needed for higher-risk groups. Clin Infect Dis. 2012;54(suppl 5):S396–404.

    Article  PubMed  Google Scholar 

  29. Staskel DM, Briley ME, Field LH, Barth SS. Microbial evaluation of foodservice surfaces in Texas child-care centers. J Am Diet Assoc. 2007;107(5):854–9. doi: https://doi.org/10.1016/j.jada.2007.02.013.

    Article  PubMed  Google Scholar 

  30. Thomas AJ. Impact of racial identity on African-American child-rearing beliefs. Journal of Black Psychology. 2000;26(3):317–29.

    Article  Google Scholar 

  31. Thomas J, Turkheimer E, Oltmanns TF. Psychometric analysis of racial differences on the Maudsley Obsessional Compulsive Inventory. Assessment. 2000;7(3):247–58.

    Article  PubMed  CAS  Google Scholar 

  32. Williams MT, Turkheimer E. Identification and explanation of racial differences on contamination measures. Behav Res Ther. 2007;45(12):3041–50.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Williams MT, Turkheimer E, Magee E, Guterbock T. The effects of race and racial priming on self-report of contamination anxiety. Personal Individ Differ. 2008;44(3):746–57.

    Article  Google Scholar 

  34. Williams MT, Abramowitz JS, Olatunji BO. The relationship between contamination cognitions, anxiety, and disgust in two ethnic groups. J Behav Ther Exp Psychiatry. 2012a;43(1):632–7.

    Article  PubMed  Google Scholar 

  35. Williams MT, Wetterneck C, Sawyer B. Assessment of obsessive-compulsive disorder in African Americans. In: Benuto LT, Leany BD, editors. Guide to psychological assessment with African Americans. New York: Springer; 2015.

    Google Scholar 

  36. Williams MT, Debreaux M, Jahn M. African Americans with obsessive-compulsive disorder: an update. Curr Psychiatr Rev. 2016;12(2):109–14.

    Article  Google Scholar 

  37. Litman, L., Robinson, J., Weinberger-Litman, S. L., & Finkelstein, R. (2017). Both Intrinsic and Extrinsic Religious Orientation are Positively Associated with Attitudes Toward Cleanliness: Exploring Multiple Routes from Godliness to Cleanliness. Journal of Religion and Health, 1-12.

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Acknowledgments

The authors would like to thank Matthew W. Flannery and Tod Maitland, owners of SpongeBath, LLC for their contributions and for providing the stimuli for this study.

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Correspondence to Leib Litman.

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Leib Litman, Monnica T. Williams, Zohn Rosen, Sarah Weinberger-Litman, and Jonathan Robinson declare that they have no conflict of interest.

Studies Involving Human Participants

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Litman, L., Williams, M.T., Rosen, Z. et al. Racial Disparities in Cleanliness Attitudes Mediate Purchasing Attitudes Toward Cleaning Products: a Serial Mediation Model. J. Racial and Ethnic Health Disparities 5, 838–846 (2018). https://doi.org/10.1007/s40615-017-0429-y

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  • DOI: https://doi.org/10.1007/s40615-017-0429-y

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