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Predictors of Tick Exposure Risk-Reduction Behavior in Indiana

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Abstract

To identify significant predictors of the adoption of more than one tick-exposure and tick-borne disease risk reduction behavior among a cross-section of Indiana residents. Study participants were recruited through quota sampling, before completing an online self-administered questionnaire in Qualtrics. The most adopted tick exposure risk reduction behavior (TERRB) (was ‘Walking on established trails and avoiding contact with adjacent vegetation’ (83%, n = 2418). This was followed by ‘Conducting a thorough check of clothing and the body soon after returning from the outdoors’ (81%, n = 2373). The two least adopted TERRBs were,’ Treating outdoor clothing with special insect repellent (e.g. Permethrin)’ (48%, n = 1409) and ‘Wearing appropriate clothing’ (‘Tucking shirt into pants, and the pants into socks when outdoors’) respectively (52%, n = 1524). Study participants who engaged in residential tick control practices (i.e. ‘three-foot wide barrier of wood chips/gravel between lawn and woodland’, ‘yard pesticide application’, ‘shrub & tree-branch trimming’, ‘yard fencing’, ‘fixed time lawn mowing’, and ‘leaf litter removal’) were significantly more likely to adopt nearly all the assessed TERRBs. Higher scores on TERRB efficacy index were associated with engaging in multiple TERRBs. Higher degree of worry about safety/health because of ticks was also associated with adoption of multiple TERRBs. In conclusion, increased risk perceptions, among Indiana residents is significantly associated with adoption of multiple TERRBs. Identifying the predictors of the adoption of more than one TERRB is vital for the prevention of tick-borne diseases.

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References

  1. Armed Forces Pest Management Board. (2014). Armed forces pest management board technical guide No. 47: Dengue and chikungunya vector control pocket guide.

  2. CDC & EPA. (2014). Joint statement on insect repellents from the Environmental Protection Agency and the Centers for Disease Control and Prevention. Retrieved July 12, 2014 from https://www.epa.gov/sites/production/files/2014-07/documents/joint-epa-cdc-stmnt_3.pdf.

  3. Debboun, M., Strickman, D. A., & Klun, J. A. (2005). Repellents and the military: Our first line of defense. Journal of the American Mosquito Control Association,21(sp1), 4–6.

    Article  Google Scholar 

  4. Paddock, C. D. (2016). Changing paradigms fortick-borne diseases in the americas1. Paper presented at the Global health impacts of vector-borne diseases: Workshop summary.

  5. Adams, D. A., Jajosky, R. A., Ajani, U., Kriseman, J., Sharp, P., Onweh, D. H., et al. (2014). Summary of notifiable diseases—United States, 2012. MMWR Morbidity and Mortality Weekly Report,61(53), 1–121.

    PubMed  Google Scholar 

  6. Department of Health and Human Services. (2019). Tick-Borne Disease Working Group—2018 report to Congress. Retrieved March 20, 2019 from https://www.hhs.gov/sites/default/files/tbdwg-report-to-congress-2018.pdf.

  7. U.S. Centers for Disease Control and Prevention. (2018). Asian longhorned tick spreading widely in U.S. Retrieved May 14, 2019 from https://www.cdc.gov/media/releases/2018/p1129-tick-spreading-widely.html.

  8. Fradin, M. S., & Day, J. F. (2002). Comparative efficacy of insect repellents against mosquito bites. New England Journal of Medicine,347(1), 13–18.

    Article  CAS  Google Scholar 

  9. Goldstein, M. D., Schwartz, B. S., Friedmann, C., Maccarillo, B., Borbi, M., & Tuccillo, R. (1990). Lyme disease in New Jersey outdoor workers: A statewide survey of seroprevalence and tick exposure. American Journal of Public Health,80(10), 1225–1229.

    Article  CAS  Google Scholar 

  10. Gupta, R., & Rutledge, L. (1991). Controlled release repellent formulations on human volunteers under three climatic regimens. Journal of the American Mosquito Control Association,7(3), 490–493.

    CAS  PubMed  Google Scholar 

  11. Vázquez, M., Muehlenbein, C., Cartter, M., Hayes, E. B., Ertel, S., & Shapiro, E. D. (2008). Effectiveness of personal protective measures to prevent Lyme disease. Emerging Infectious Diseases,14(2), 210.

    Article  Google Scholar 

  12. Donohoe, H., Omodior, O., & Roe, J. (2018). Tick-borne disease occupational risks and behaviors of Florida Fish, Wildlife, and Parks Service employees—A health belief model perspective. Journal of Outdoor Recreation and Tourism,22, 9–17.

    Article  Google Scholar 

  13. Omodior, O., Pennington-Gray, L., & Donohoe, H. (2015). Efficacy of the theory of planned behavior in predicting the intention to engage in tick-borne disease personal protective behavior amongst visitors to an outdoor recreation center. Journal of Park and Recreation Administration,33(2), 37–53.

    Google Scholar 

  14. Phillips, C. B., Liang, M. H., Sangha, O., Wright, E. A., Fossel, A. H., Lew, R. A., et al. (2001). Lyme disease and preventive behaviors in residents of Nantucket Island. Massachusetts. American Journal of Preventive Medicine,20(3), 219–224.

    Article  CAS  Google Scholar 

  15. Herrington, J. E., Jr., Campbell, G. L., Bailey, R. E., Cartter, M. L., Adams, M., Frazier, E. L., et al. (1997). Predisposing factors for individuals’ Lyme disease prevention practices: Connecticut, Maine, and Montana. American Journal of Public Health,87(12), 2035–2038.

    Article  Google Scholar 

  16. Omodior, O., Kianersi, S., & Luetke, M. (2019). Prevalence of risk and protective factors for tick exposure and tick-borne disease among residents of Indiana. Journal of Public Health Management and Practice. https://doi.org/10.1097/PHH.0000000000001070.

    Article  PubMed  Google Scholar 

  17. Omodior, O., Kianersi, S., & Luetke, M. (2019). Spatial clusters and non-spatial predictors of tick-borne disease diagnosis in Indiana. Journal of Community Health. https://doi.org/10.1007/s10900-019-00691-0.

    Article  PubMed  Google Scholar 

  18. Qualtrics. (2019). Sample size calculator. Retrieved July 29, 2019 from https://www.qualtrics.com/blog/calculating-sample-size/.

  19. Aenishaenslin, C., Bouchard, C., Koffi, J. K., & Ogden, N. H. (2017). Exposure and preventive behaviours toward ticks and Lyme disease in Canada: Results from a first national survey. Ticks and Tick-Borne Diseases,8(1), 112–118.

    Article  Google Scholar 

  20. Bayles, B. R., Evans, G., & Allan, B. F. (2013). Knowledge and prevention of tick-borne diseases vary across an urban-to-rural human land-use gradient. Ticks and Tick-Borne Diseases,4(4), 352–358.

    Article  Google Scholar 

  21. Finucane, M. L., Alhakami, A., Slovic, P., & Johnson, S. M. (2000). The affect heuristic in judgments of risks and benefits. Journal of Behavioral Decision Making,13(1), 1–17.

    Article  Google Scholar 

  22. Janz, N. K., & Becker, M. H. (1984). The health belief model: A decade later. Health Education Quarterly,11(1), 1–47.

    Article  CAS  Google Scholar 

  23. SAS. (2014). SAS (Version 9.4). Cary, NC: SAS Institute Inc.

  24. Team, R. C. (2017). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/.

  25. Stafford, K. C. (2007). Tick management handbook; an integrated guide for homeowners, pest control operators, and public health officials for the prevention of tick-associated disease. New Haven: Connecticut Agricultural Experiment Station.

    Google Scholar 

  26. Omodior, O., Luetke, M. C., & Nelson, E. J. (2018). Mosquito-borne infectious disease, risk-perceptions, and personal protective behavior among US international travelers. Preventive Medicine Reports,12, 336–342.

    Article  Google Scholar 

  27. Commins, S. P., & Platts-Mills, T. A. (2013). Tick bites and red meat allergy. Current Opinion in Allergy and Clinical Immunology,13(4), 354.

    Article  CAS  Google Scholar 

  28. Spach, D. H., Liles, W. C., Campbell, G. L., Quick, R. E., Anderson, D. E., Jr., & Fritsche, T. R. (1993). Tick-borne diseases in the United States. New England Journal of Medicine,329(13), 936–947.

    Article  CAS  Google Scholar 

  29. Slovic, P., & Peters, E. (2006). Risk perception and affect. Current Directions in Psychological Science,15(6), 322–325.

    Article  Google Scholar 

  30. Hahn, R. A., & Truman, B. I. (2015). Education improves public health and promotes health equity. International Journal of Health Services,45(4), 657–678.

    Article  Google Scholar 

  31. Leganger, A., & Kraft, P. (2003). Control constructs: Do they mediate the relation between educational attainment and health behaviour? Journal of Health Psychology,8(3), 361–372.

    Article  Google Scholar 

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Acknowledgements

This project was supported by the Environmental Resilience Institute (ERI), funded by Indiana University’s Prepared for Environmental Change (PfEC) Grand Challenge initiative.

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Omodior, O., Luetke, M., Kianersi, S. et al. Predictors of Tick Exposure Risk-Reduction Behavior in Indiana. J Community Health 45, 862–870 (2020). https://doi.org/10.1007/s10900-020-00803-1

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