The Roles of Education, Literacy, and Numeracy in Need for Health Information during the Second Half of Adulthood: A Moderated Mediation Analysis

References

• AIR PIAAC Team. (n.d.). What you need to consider before working with PIAAC data. Retrieved from https://static1.squarespace.com/static/51bb74b8e4b0139570ddf020/t/57ebf6e903596ed76b2b971d/1475081961884/WorkingWithPIAACData_updated+092016.pdf
   Google Scholar
• Babitsch, B., Gohl, D., & von Lengerke, T. (2012). Re-revisiting Andersen’s Behavioral Model of Health Services Use: A systematic review of studies from 1998–2011. GMS Psycho-Social-Medicine, 9, Doc11. doi:10.3205/psm000089
   PubMedGoogle Scholar
• Bass, S. B. (2003). How will Internet use affect the patient? A review of computer network and closed Internet-based system studies and the implications in understanding how the use of the Internet affects patient populations. Journal of Health Psychology, 8(1), 25–38. doi:10.1177/1359105303008001427
   PubMed Web of Science ®Google Scholar
• Berkman, N. D., Sheridan, S. L., Donahue, K. E., Halpern, D. J., & Crotty, K. (2011). Low health literacy and health outcomes: An updated systematic review. Annals of Internal Medicine, 155(2), 97–107. doi:10.7326/0003-4819-155-2-201107190-00005
   PubMed Web of Science ®Google Scholar
• Chen, Y., & Feeley, T. H. (2014). Numeracy, information seeking, and self-efficacy in managing health: An analysis using the 2007 Health Information National Trends Survey (HINTS). Health Communication, 29(9), 843–853. doi:10.1080/10410236.2013.807904
   PubMed Web of Science ®Google Scholar
• DeWalt, D. A., & Pignone, M. P. (2005). Reading is fundamental: The relationship between literacy and health. Archives of Internal Medicine, 165(17), 1943–1944. doi:10.1001/archinte.165.17.1943
   PubMed Web of Science ®Google Scholar
• Feinberg, I., Frijters, J., Johnson-Lawrence, V., Greenberg, D., Nightingale, E., & Moodie, C. (2016). Examining associations between health information seeking behavior and adult education status in the US: An analysis of the 2012 PIAAC Data. PloS one, 11(2), 1–20. doi:10.1371/journal.pone.0148751
   Web of Science ®Google Scholar
• Gaglio, B., Glasgow, R. E., & Bull, S. S. (2012). Do patient preferences for health information vary by health literacy or numeracy? A qualitative assessment. Journal of Health Communication, 17(sup3), 109–121. doi:10.1080/10810730.2012.712616
   PubMed Web of Science ®Google Scholar
• Gelberg, L., Andersen, R. M., & Leake, B. D. (2000). The behavioral model for vulnerable populations: Application to medical care use and outcomes for homeless people. Health Services Research, 34(6), 1273.
   PubMed Web of Science ®Google Scholar
• Gutierrez, N., Kindratt, T. B., Pagels, P., Foster, B., & Gimpel, N. E. (2014). Health literacy, health information seeking behaviors and internet use among patients attending a private and public clinic in the same geographic area. Journal of Community Health, 39(1), 83–89. doi:10.1007/s10900-013-9742-5
   PubMed Web of Science ®Google Scholar
• Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis (1st ed.). New York, NY: The Guilford Press.
   Google Scholar
• Hibbard, J. H., Peters, E., Dixon, A., & Tusler, M. (2007). Consumer competencies and the use of comparative quality information: ItIsn‘t just about literacy. Medical Care Research and Review, 64(4), 379–394. doi:10.1177/1077558707301630
   PubMed Web of Science ®Google Scholar
• Hogan, J., Thornton, N., Diaz-Hoffmann, L., Mohadjer, L., Krenzke, T., Li, J., … Khorramdel, L. (2016). U.S. Program for the International Assessment of Adult Competencies (PIAAC) 2012/2014: Main study and national supplement technical report. Washington, DC: U.S. Department of Education. Retrieved from https://nces.ed.gov/pubs2016/2016036_rev.pdf
   Google Scholar
• Jensen, J. D., King, A. J., Davis, L. A., & Guntzviller, L. M. (2010). Utilization of internet technology by low-income adults: The role of health literacy, health numeracy, and computer assistance. Journal of Aging and Health, 22(6), 804–826. doi:10.1177/0898264310366161
   PubMed Web of Science ®Google Scholar
• Johnson, R. C., & Schoeni, R. F. (2011). Early-life origins of adult disease: National longitudinal population-based study of the United States. American Journal of Public Health, 101(12), 2317–2324. doi:10.2105/ajph.2011.300252
   PubMed Web of Science ®Google Scholar
• Jylhä, M. (2009). What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Social Science & Medicine, 69(3), 307–316. doi:10.1016/j.socscimed.2009.05.013
   PubMed Web of Science ®Google Scholar
• Kelley, M. S., Su, D., & Britigan, D. H. (2016). Disparities in health information access: results of a county-wide survey and implications for health communication. Health Communication, 31(5), 575–582. doi:10.1080/10410236.2014.979976
   PubMed Web of Science ®Google Scholar
• Kim, Y.-C., Lim, J. Y., & Park, K. (2015). Effects of health literacy and social capital on health information behavior. Journal of Health Communication, 20(9), 1084–1094. doi:10.1080/10810730.2015.1018636
   PubMed Web of Science ®Google Scholar
• Kline, R. B. (2016). Principals and practice of structural equation modeling (4th ed.). New York, NY: The Guilford Press.
   Google Scholar
• Koch-Weser, S., Bradshaw, Y. S., Gualtieri, L., & Gallagher, S. S. (2010). The internet as a health information source: Findings from the 2007 health information national trends survey and implications for health communication. Journal of Health Communication, 15(sup3), 279–293. doi:10.1080/10810730.2010.522700
   PubMed Web of Science ®Google Scholar
• Kutner, M., Greenberg, E., Jin, Y., Boyle, B., Hsu, Y., & Dunleavy, E. (2007). Literacy in everyday life: Results from the 2003 National assessment of adult literacy. Washington, DC: National Center for Education Statistics. Retrieved from http://nces.ed.gov/Pubs2007/2007480_1.pdf
   Google Scholar
• Lagoe, C., & Atkin, D. (2015). Health anxiety in the digital age: An exploration of psychological determinants of online health information seeking. Computers in Human Behavior, 52, 484–491. doi:10.1016/j.chb.2015.06.003
   Web of Science ®Google Scholar
• Len-Ríos, M. E., & Hinnant, A. (2014). Health literacy and numeracy: A comparison of magazine health messages. Howard Journal of Communications, 25(3), 235–256. doi:10.1080/10646175.2014.922909
   Google Scholar
• Link, B., & Phelan, J. (1995). Social conditions as fundamental causes of disease. Journal of Health and Social Behavior, 80–94. Retrieved from http://www.jstor.org/stable/2626958
   Google Scholar
• Lipkus, I. M., Johnson, C. M., Amarasekara, S., Pan, W., & Updegraff, J. A. (2018). Reactions to online colorectal cancer risk estimates among a nationally representative sample of adults who have never been screened. Journal of Behavioral Medicine, 41(3), 289–298. doi:10.1007/s10865-017-9902-7
   PubMed Web of Science ®Google Scholar
• Lipkus, I. M., & Peters, E. (2009). Understanding the role of numeracy in health: Proposed theoretical framework and practical insights. Health Education & Behavior, 36(6), 1065–1081. doi:10.1177/1090198109341533
   PubMed Web of Science ®Google Scholar
• Malone, T., Jo, P., & Clifton, S. (2017). Perceived eHealth literacy and information behavior of older adults enrolled in a health information outreach program. Journal of Consumer Health on the Internet, 21(2), 137–147. doi:10.1080/15398285.2017.1300040
   Web of Science ®Google Scholar
• Manierre, M. J. (2015). Gaps in knowledge: Tracking and explaining gender differences in health information seeking. Social Science & Medicine, 128, 151–158. doi:10.1016/j.socscimed.2015.01.028
   PubMed Web of Science ®Google Scholar
• McNaughton, C. D., Collins, S. P., Kripalani, S., Rothman, R., Self, W. H., Jenkins, C., … Storrow, A. B. (2013). Low numeracy is associated with increased odds of 30-day emergency department or hospital recidivism for patients with acute heart failure. Circulation: Heart Failure, 6(1), 40–46. doi:10.1161/circheartfailure.112.969477
   PubMed Web of Science ®Google Scholar
• Muthén, B. O., Muthén, L. K., & Asparouhov, T. (2016). Regression and mediation analysis using Mplus. Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• Muthén, L. K., & Muthén, B. O. (1998-2017). Mplus statistical analysis with latent variables user‘s guide. Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• National Center for Education Statistics. (2017). Program for the International Assessment of Adult Competencies (PIAAC) 2012/2014: U.S. national supplement restricted use data files-household. Retrieved from https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2016668rev
   Google Scholar
• National Center for Education Statistics. (n.d.). What does the cognitive assessment of PIAAC measure? Retrieved from https://nces.ed.gov/surveys/piaac/measure.asp
   Google Scholar
• Neter, E., & Brainin, E. (2012). eHealth literacy: Extending the digital divide to the realm of health information. Journal of Medical Internet Research, 14(1), e19. doi:10.2196/jmir.1619
   PubMed Web of Science ®Google Scholar
• Niederdeppe, J., Hornik, R. C., Kelly, B. J., Frosch, D. L., Romantan, A., Stevens, R. S., … Schwartz, J. S. (2007). Examining the dimensions of cancer-related information seeking and scanning behavior. Health Communication, 22(2), 153–167. doi:10.1080/10410230701454189
   PubMed Web of Science ®Google Scholar
• Nutbeam, D. (2008). The evolving concept of health literacy. Social Science & Medicine, 67(12), 2072–2078. doi:10.1016/j.socscimed.2008.09.050
   PubMed Web of Science ®Google Scholar
• OECD. (2013). OECD skills outlook 2013: First results from the Survey of Adult Skills. Retrieved from http://www.oecd.org/about/publishing/Corrigendum-OECD-skills-outlook-2013.pdf
   Google Scholar
• Paasche-Orlow, M. K., & Wolf, M. S. (2007). The causal pathways linking health literacy to health outcomes. American Journal of Health Behavior, 31(1), S19–S26. doi:10.5555/ajhb.2007.31.supp.S19
   PubMed Web of Science ®Google Scholar
• Peters, E., Hibbard, J., Slovic, P., & Dieckmann, N. (2007). Numeracy skill and the communication, comprehension, and use of risk-benefit information. Health Affairs, 26(3), 741–748. doi:10.1377/hlthaff.26.3.741
   PubMed Web of Science ®Google Scholar
• Pew Internet & American Life Project. (2005). Digital divisions. Retrieved from http://www.pewinternet.org/~/media//Files/Reports/2005/PIP_Digital_Divisions_Oct_5_2005.pdf.pdf
   Google Scholar
• Phelan, J. C., Link, B. G., & Tehranifar, P. (2010). Social conditions as fundamental causes of health inequalities: Theory, evidence, and policy implications. Journal of Health and Social Behavior, 51(1_suppl), S28–s40. doi:10.1177/0022146510383498
   PubMed Web of Science ®Google Scholar
• Prins, E., & Monnat, S. (2015). Examining associations between self-rated health and proficiency in literacy and numeracy among immigrants and US-born adults: Evidence from the Program for the International Assessment of Adult Competencies (PIAAC). PloS one, 10(7), e0130257. doi:10.1371/journal.pone.0130257
   PubMed Web of Science ®Google Scholar
• Rampey, B. D., Finnegan, R., Goodman, M., Mohadjer, L., Krenzke, T., Hogan, J., & Provasnik, S. (2016). Skills of U.S. unemployed, young, and older adults in sharper focus: Results from the program for the International Assessment of Adult Competencies (PIAAC) 2012/2014: First look. Washington, DC: Institute for Education Science, U.S. Department of Education. Retrieved from https://nces.ed.gov/pubs2016/2016039.pdf
   Google Scholar
• Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135(6), 943–973. doi:10.1037/a0017327
   PubMed Web of Science ®Google Scholar
• Rothman, R. L., Housam, R., Weiss, H., Davis, D., Gregory, R., Gebretsadik, T., … Elasy, T. A. (2006). Patient understanding of food labels: The role of literacy and numeracy. American Journal of Preventive Medicine, 31(5), 391–398. doi:10.1016/j.amepre.2006.07.025
   PubMed Web of Science ®Google Scholar
• Ryu, E., & Cheong, J. (2017). Comparing indirect effects in different groups in single-group and multi-group structural equation models. Frontiers in Psychology, 8(747). doi:10.3389/fpsyg.2017.00747
   PubMedGoogle Scholar
• Saab, M. M., Reidy, M., Hegarty, J., O‘Mahony, M., Murphy, M., Von Wagner, C., & Drummond, F. J. (2018). Men‘s information‐seeking behavior regarding cancer risk and screening: A meta‐narrative systematic review. Psycho‐Oncology, 27(2), 410–419. doi:10.1002/pon.4506
   PubMed Web of Science ®Google Scholar
• Sciamanna, C. N., Clark, M. A., Diaz, J. A., & Newton, S. (2003). Filling the gaps in physician communication: The role of the Internet among primary care patients. International Journal of Medical Informatics, 72(1), 1–8. doi:10.1016/j.ijmedinf.2003.10.001
   PubMed Web of Science ®Google Scholar
• Squiers, L., Peinado, S., Berkman, N., Boudewyns, V., & McCormack, L. (2012). The health literacy skills framework. Journal of Health Communication, 17(sup3), 30–54. doi:10.1080/10810730.2012.713442
   PubMed Web of Science ®Google Scholar
• Taha, J., Sharit, J., & Czaja, S. (2009). Use of and satisfaction with sources of health information among older internet users and nonusers. The Gerontologist, 49(5), 663–673. doi:10.1093/geront/gnp058
   PubMed Web of Science ®Google Scholar
• Tu, H. T., & Cohen, G. R. (2008). Striking jump in consumers seeking health care information. Washington, DC: The Center for Studying Health System Change. Retrieved from http://research.policyarchive.org/21453.pdf
   Google Scholar
• U.S. Department of Health and Human Services. (2008). America‘s health literacy: Why we need accessible health information Retrieved from https://health.gov/communication/literacy/issuebrief/
   Google Scholar
• U.S. Department of Health and Human Services. (2010). National action plan to improve health literacy. Washington, DC: U.S. Department of Health and Human Services . Retrieved from https://health.gov/communication/HLActionPlan/pdf/Health_Literacy_Action_Plan.pdf
   Google Scholar
• Wang, J., & Wang, X. (2012). Structural equation modeling: Applications using Mplus. West Sussex, United Kingdom: John Wiley & Sons.
   Google Scholar
• Yamashita, T., Bardo, A. R., Liu, D., & Cummins, P. A. (2018). Literacy, numeracy, and health information seeking among middle-aged and older adults in the United States. Journal of Aging and Health, 1–16. doi:10.1177/0898264318800918
   Google Scholar
• Yoon, H., & Jang, Y. (2015). Older adults‘ internet use for health information: Digital divide by race/ethnicity and socioeconomic status. The Gerontologist, 55(Suppl_2), 474. doi:10.1093/geront/gnv200.04
   Google Scholar