A nutrition intervention focused on low-fat eating pattern changes was conducted among low-literacy participants in a Twin Cities Metropolitan area Expanded Food and Nutrition Education Program (EFNEP). A total of 134 EFNEP participants who participated in the intervention were compared to 70 comparison participants who received EFNEP nutrition education materials. Associations between changes in outcome variables specific to the intervention were evaluated using mixed-mode regression analyses. The principal effects seen for this program were related to changes in eating pattern scales. More modest effects were seen in scales related to attitudes of low-fat eating, and although changes in dietary fat intake as measured by 24-hour dietary interviews suggested a positive intervention effect, this did not approach statistical significance.
Bibliographical noteFunding Information:
Terryl Hartman is a Cancer Prevention Research Fellow, The National Cancer Institute. Pamela McCarthy is a consultant and owner of McCarthy and Associates, Inc., St. Paul, MN. Rosemarie Park is an Associate Professor, Department of Education, University of Minnesota. At the time of this study, Ellen Schuster was the State Director, Minnesota Expanded Food and Nutrition Education Program and Associate Professor, Department of Nutrition, University of Minnesota. She is now a Nutrition and Foods Specialist for Oregon State University, Extension Home Economics. Lawrence Kushi is an Associate Professor, Division of Epidemiology, University of Minnesota. This work was supported by grant R01-HL-46781 from the National Institutes of Health. Requests for reprints should be addressed to Terryl Hartman, Division of Cancer Prevention and Control, National Cancer Institute, Executive Plaza North, Suite 211, 6130 Executive Boulevard MSC 7326, Bethesda, MD 20892-7326. Acknowledgments: The authors wish to recognize the Expanded Food and Nutrition Education Program Nutrition Education Assistants in Dakota, Hennepin, and Ramsey Counties, and the Extension Educators who supervise them for their help with this work. We would also like to express our thanks to David Murray, Ph.D., and Peter Hannan, M. Stat., for helpful statistical consultations.