Leticia M Nogueira1, Chan L Thai2, Wendy Nelson2, April Oh2. 1. Texas Cancer Registry, Texas Department of State Health Services, Austin, TX, USA. leticia.nogueira@dshs.texas.gov. 2. Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Abstract
OBJECTIVE: We investigated the relative importance of nutrition label numeracy and sociodemographic characteristics in predicting health behaviors. METHODS: Secondary data analysis of data collected from the National Cancer Institute's Health Information National Trends Survey (HINTS 4, cycle 3, 2013). Weighted age-adjusted ordinal logistical regression was used to evaluate sociodemographic characteristics among individuals with different nutrition label numeracy levels. Dominance analysis was conducted to rank nutrition label numeracy and sociodemographic characteristics in order of importance as predictors of health behavior. RESULTS: Lower levels of nutrition label numeracy were associated with older age, black and Hispanic race/ethnicity, unemployment, being born outside of the United States, lower English proficiency, lower education achievement, lower income, and living in the South. Nutrition label numeracy and income were the most important predictors of health behaviors, accounting for about 50% of the variance in fruit consumption and level of effort, frustration, concern, and confusion experienced while seeking health information. CONCLUSIONS: Nutrition label numeracy differed significantly among sociodemographic groups and was a strong predictor of health behaviors. When developing health interventions targeting dietary behaviors, disparities in nutrition label numeracy comprehension should be considered.
OBJECTIVE: We investigated the relative importance of nutrition label numeracy and sociodemographic characteristics in predicting health behaviors. METHODS: Secondary data analysis of data collected from the National Cancer Institute's Health Information National Trends Survey (HINTS 4, cycle 3, 2013). Weighted age-adjusted ordinal logistical regression was used to evaluate sociodemographic characteristics among individuals with different nutrition label numeracy levels. Dominance analysis was conducted to rank nutrition label numeracy and sociodemographic characteristics in order of importance as predictors of health behavior. RESULTS: Lower levels of nutrition label numeracy were associated with older age, black and Hispanic race/ethnicity, unemployment, being born outside of the United States, lower English proficiency, lower education achievement, lower income, and living in the South. Nutrition label numeracy and income were the most important predictors of health behaviors, accounting for about 50% of the variance in fruit consumption and level of effort, frustration, concern, and confusion experienced while seeking health information. CONCLUSIONS: Nutrition label numeracy differed significantly among sociodemographic groups and was a strong predictor of health behaviors. When developing health interventions targeting dietary behaviors, disparities in nutrition label numeracy comprehension should be considered.
Authors: Jasmin Bhawra; Sharon I Kirkpatrick; Marissa G Hall; Lana Vanderlee; James F Thrasher; David Hammond Journal: J Nutr Date: 2022-06-13 Impact factor: 4.687
Authors: Mengxi Du; Christina F Griecci; Frederick F Cudhea; Heesun Eom; David D Kim; Parke Wilde; John B Wong; Y Claire Wang; Dominique S Michaud; Dariush Mozaffarian; Fang Zhang Journal: JAMA Netw Open Date: 2021-04-01