in chronological order (with links)

Miller, L. M. S., Beckett, L. A., Bergman, J. J., Wilson, M. D., Applegate, E. A., & Gibson, T. N. (2017). An Internet-Based Practice Approach to Developing Nutrition Label Reading Skills. J Med Internet Res.   View.

Miller, L. M. S., Applegate, E., Beckett, L. A., Wilson, M. D., & Gibson, T. N. (2016). Age differences in the use of serving size information on food labels: numeracy or attention? Public Health Nutrition, 1-11. doi:10.1017/S1368980016003219.   View.

Miller, L.M.S. (2016). Nutrition Label Literacy: The Intersection of Health Literacy and Food Label Reading-Research Findings and Implications for Educators. AADE In Practice, 4(4), 38-42. doi: 10.1177/2325160316650253.   View.

Cassady, D.L., Liaw, K., Miller, L.M.S. (2015). Disparities in Obesity-Related Outdoor Advertising by Neighborhood Income and Race. Journal of Urban Health, 92, 5, 835-842. doi: 10.1007/s11524-015-9980-1. View.

Miller, L.M.S. & Cassady, D.L. (2015).  Review of the Literature on the Effects of Nutrition Knowledge on Food Label Use: A Review of the Literature. Appetite, 92, 207–216. doi: doi.org/10.1016/j.appet.2015.05.029.   View.

Miller, L.M.S., Cassady, D.L., Beckett, L.A., Applegate, E.A., Wilson, M.D., Gibson, T.N. & Ellwood, K. (2015). Misunderstanding of Front-of-Package Nutrition Information on US Food Products. PLoS ONE 10(4): e0125306. doi:10.1371/journal.pone.0125306.   View.

Miller, L.M.S., Cassady, D.L., Applegate, E.A., Beckett, L.A., Wilson, M. D., Gibson, T.N., & Ellwood, K. (2015). Relationships among food label use, motivation, and dietary quality. Nutrients, 7(2), 1068-1080. doi:10.3390/nu7021068.   View.

Gee, P.M., Greenwood, D.A., Paterniti, D A., Ward, D., & Miller, L.M.S. (2015). The ehealth enhanced chronic care model: A theory derivation approach. J Med Internet Res, 17(4), e86. doi: 10.2196/jmir.4067.   View.

Gee, P.M., Paterniti, D. A., Ward, D., & Miller, L. M. S. (2015). E-patients perceptions of using personal health records for self-management support of chronic illness. Computers Informatics Nursing, 33(6), 229-237. doi: 10.1097/cin.0000000000000151.  View.

Blackburn, M.L., Bruhn, C.M., Miller, L.M.S., Ganthavorn, C., & Ober, B.A. (2014). Seniors, and their food handlers and caregivers, need food safety and nutrition education, California Agriculture, 68(1), 30-37. doi: 10.3733/ca.v068n01p30.  View.

Miller, L.M.S. (2014).  Quantitative Information Processing on Nutrition Facts Panels among Younger and Older Adults. British Food Journal. 116(7), 1205-1219. doi.org/10.1108/BFJ-02-2013-0042.  View.

Miller, L.M.S., Zirnstein, M., & Chan, P. (2013). Prior knowledge reduces age-related memory errors on nutrition education task.  Journal of Health Psychology, 18(9), 1141-1152. doi: 0.1177/1359105312459896.  View.

Miller, L.M.S. & Bell, A.R. (2012). Online health information-seeking: The influence of age, ease of search, and information trustworthiness. Journal of Aging and Health, 24(3), 525-541. doi: 10.1177/0898264311428167.  View.

Miller, L.M.S. & Cassady, D.L. (2012). Making Healthy Food Choices Using Nutrition Facts Panels:  The roles of knowledge, motivation, dietary modification goals, and age. Appetite, 59(1), 129–139. doi:10.1016/j.appet.2012.04.009.  View.

Miller, L.M.S., Gibson, T.N., Applegate, E., & de Dios, J. (2011). Mechanisms underlying comprehension of health information in adulthood:  The roles of prior knowledge and working memory capacity.  Journal of Health Psychology, 16(5), 794-806. doi: 10.1177/1359105310392090.  View.

Miller, L.M.S., Gibson, T.N., & Applegate, E. (2010). Predictors of nutrition information comprehension in adulthood.  Patient Education and Counseling, 80(1), 107-112. doi:10.1016/j.pec.2009.09.031.  View.

Miller, L.M.S. (2010).  Cognitive and motivational factors support health literacy and acquisition of new health information in later life. California Agriculture: Special Issue on Aging, 64(4), 189-194. doi: 10.3733/ca.v064n04p189.  View.

Miller, L.M.S. & West, R. L. (2010).  Self-regulation of reading in adulthood: The role of age and control beliefs.  Experimental Aging Research, 36(1), 40-63. 10.1080/03610730903418380.  View.

 

prior to 2010