Understanding of nutrition information on food labels among higher income adults in India

Abstract

Objectives: This study assessed food label reading habits and understanding of nutrition information on food labels by higher income adults in India. Design: It involved a cross-sectional study using non-probability purposive sampling. Setting: Data were collected by mixed methods approach between March 2019 and February 2020. Adults were selected from housing colonies in four geographical zones of Delhi, India. Method: A total of 589 adults (20–40 years) belonging to upper middle-income and high-income groups were selected. Associations between gender, family income, age, marital status, and label reading habits were assessed using Chi-square tests. Demographic predictors of food label reading habits were identified using binary logistic regression with a level of significance set at p < .05. Results: Participants read the food labels (79%) and noticed the nutrient claims (76%) on food labels. Female participants were more likely to understand nutrition information as compared with male participants (odds ratio [OR] = 1.52, p = .04). Female participants were also more likely to notice the nutrient claims on the packet of food products (OR = 1.99, p < .01) as compared with male participants. The majority of participants found the ‘traffic light scheme’ format easy to understand. Conclusion: Consumers look for nutrition information on food labels. They value healthier food alternatives but most are unable to decipher the nutrition labels. Food labels should communicate the healthfulness of products in a straightforward manner to enable better food choices.

Towards a Digital Native Era in Nutrition: Introducing the M-Format Labeling

“…Annunziata and Vecchio (2012) stated that 48% of people pay attention to food labels when buying a new product, while only 4.3% routinely read them. A more detailed perspective is provided by Mediratta and Mathur (2023), who showed that 76% of higher income adults read nutrition labels, but few can understand all the information correctly. All of these findings suggest that consistent attention to nutrition labels may lead to more use of digital nutrition labeling and online ordering services to make informed food choices and confirm already existent information, regardless of familiarity with the product.…”