Literature DB >> 17046410

Patient understanding of food labels: the role of literacy and numeracy.

Russell L Rothman1, Ryan Housam, Hilary Weiss, Dianne Davis, Rebecca Gregory, Tebeb Gebretsadik, Ayumi Shintani, Tom A Elasy.   

Abstract

BACKGROUND: Comprehension of food labels can be important for patients, including those with chronic illness, to help follow dietary recommendations. Patient comprehension of food labels was examined, along with the relationship of comprehension to their underlying literacy and numeracy skills.
METHODS: From June 2004 to April 2005, a cross-sectional study of 200 primary care patients was performed. A 24-item measure of food label comprehension was administered. Literacy was measured with the Rapid Estimate of Adult Literacy in Medicine (REALM), and numeracy with the Wide Range Achievement Test, third edition (WRAT-3).
RESULTS: Most patients (89%) reported using food labels. While 75% of patients reported at least a high school education and 77% had 9th-grade literacy skills, only 37% had 9th-grade math skills. On average, patients answered 69% (standard deviation, 21%) of the food-label questions correctly. Common reasons for incorrect responses included misapplication of the serving size, confusion due to extraneous material on the food label, and incorrect calculations. For example, only 37% of patients could calculate the number of carbohydrates consumed from a 20-ounce bottle of soda that contained 2.5 servings. Higher comprehension of food labels was significantly correlated (all p values were less than 0.001) with higher income (rho=0.39), education (rho=0.49), literacy (rho=0.52), and numeracy (rho=0.67).
CONCLUSIONS: Patients demonstrated deficits in understanding nutrition labels. Poor label comprehension was highly correlated with low-level literacy and numeracy skills, but even patients with higher literacy could have difficulties interpreting labels. Providers need to consider patients' literacy and numeracy when providing dietary recommendations. Opportunities may exist for the U.S. Food and Drug Administration to promote changes to make food labels more comprehensible.

Entities:  

Mesh:

Year:  2006        PMID: 17046410     DOI: 10.1016/j.amepre.2006.07.025

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  159 in total

1.  Analysis of use of an automated bolus calculator reduces fear of hypoglycemia and improves confidence in dosage accuracy in type 1 diabetes mellitus patients treated with multiple daily insulin injections.

Authors:  Frank L Schwartz; Aili Guo; Cynthia R Marling; Jay H Shubrook
Journal:  J Diabetes Sci Technol       Date:  2012-01-01

2.  Poor numeracy: the elephant in the diabetes technology room.

Authors:  David Kerr
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

3.  Health literacy explains racial disparities in diabetes medication adherence.

Authors:  Chandra Y Osborn; Kerri Cavanaugh; Kenneth A Wallston; Sunil Kripalani; Tom A Elasy; Russell L Rothman; Richard O White
Journal:  J Health Commun       Date:  2011

4.  Numeracy skills in CKD: correlates and outcomes.

Authors:  Khaled Abdel-Kader; Mary Amanda Dew; Mamta Bhatnagar; Christos Argyropoulos; Irina Karpov; Galen Switzer; Mark L Unruh
Journal:  Clin J Am Soc Nephrol       Date:  2010-05-27       Impact factor: 8.237

5.  Numeracy and Preventive Health Care Service Utilization among Middle-Aged and Older Adults in the U.S.

Authors:  Takashi Yamashita; Anthony R Bardo; Roberto J Millar; Darren Liu
Journal:  Clin Gerontol       Date:  2018-05-07       Impact factor: 2.619

6.  Collecting wrappers, labels, and packages to enhance accuracy of food records among children 2-8 years in the Pacific region: Children's Healthy Living Program (CHL).

Authors:  Kim M Yonemori; Tui Ennis; Rachel Novotny; Marie K Fialkowski; Reynolette Ettienne; Lynne R Wilkens; Rachael T Leon Guerrero; Andrea Bersamin; Patricia Coleman; Fenfang Li; Carol J Boushey
Journal:  J Food Compost Anal       Date:  2017-04-23       Impact factor: 4.556

7.  Traffic-light labels and choice architecture: promoting healthy food choices.

Authors:  Anne N Thorndike; Jason Riis; Lillian M Sonnenberg; Douglas E Levy
Journal:  Am J Prev Med       Date:  2014-02       Impact factor: 5.043

8.  "Greenlight study": a controlled trial of low-literacy, early childhood obesity prevention.

Authors:  Lee M Sanders; Eliana M Perrin; H Shonna Yin; Andrea Bronaugh; Russell L Rothman
Journal:  Pediatrics       Date:  2014-05-12       Impact factor: 7.124

9.  A framework for health numeracy: how patients use quantitative skills in health care.

Authors:  Marilyn M Schapira; Kathlyn E Fletcher; Mary Ann Gilligan; Toni K King; Purushottam W Laud; B Alexendra Matthews; Joan M Neuner; Elisabeth Hayes
Journal:  J Health Commun       Date:  2008 Jul-Aug

10.  Food label use and awareness of nutritional information and recommendations among persons with chronic disease.

Authors:  John E Lewis; Kristopher L Arheart; William G LeBlanc; Lora E Fleming; David J Lee; Evelyn P Davila; Alberto J Cabán-Martinez; Noella A Dietz; Kathryn E McCollister; Frank C Bandiera; John D Clark
Journal:  Am J Clin Nutr       Date:  2009-09-23       Impact factor: 7.045

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.