# Nutrition Label Reading and Understanding, Food Advertising Exposure, and Excess Weight Among Brazilian Adults: A Cross-Sectional Study

**Authors:** Laysa Camila Bueno, Luiz Felipe de Paiva Lourenção, Thaiany Goulart de Souza-Silva, Cristina Garcia Lopes Alves, Marcelo Lacerda Rezende, Eric Batista Ferreira, Denismar Alves Nogueira, António Raposo, Zayed D. Alsharari, Mona N. BinMowyna, Sarah Almutairi, Daniela Braga Lima

PMC · DOI: 10.3390/nu18040559 · Nutrients · 2026-02-08

## TL;DR

This study explores how nutrition label reading, food advertising exposure, and other factors relate to excess weight among Brazilian adults.

## Contribution

The study provides insights into the relationship between nutrition label understanding, food advertising, and excess weight in Brazil.

## Key findings

- Excess weight was observed in 59.0% of participants.
- Better label understanding was linked to changes in food purchasing decisions.
- Considering nutritional quality was associated with lower odds of excess weight, though not statistically significant.

## Abstract

Background/Objectives: Nutrition labeling and food advertising are population-level strategies that may influence food choices. Excess weight is a recognized public health concern and a risk factor for cardiometabolic diseases; however, evidence regarding the association between label use, food advertising, and excess weight remains inconsistent. The objective of this study was to examine the associations between nutrition label reading and understanding, exposure to food advertising, food-related behaviors, and excess weight among Brazilian adults. Methods: A cross-sectional study was conducted with 580 adults living in the southern region of Minas Gerais, Brazil. Data were collected using a structured questionnaire addressing sociodemographic characteristics, food purchasing behaviors, exposure to food advertising, and habits related to reading and understanding nutrition labels. Excess weight was assessed using body mass index (BMI), calculated from self-reported weight and height. Logistic regression models and principal component analysis (PCA) were performed, adopting a significance level of 5%. Results: Excess weight was observed in 59.0% of participants. Regular use of nutrition labels was reported by 38.6% of respondents; among these individuals, 70.4% reported discontinuing the purchase of a food product after reading its nutritional information. In adjusted analyses, age over 30 years (p < 0.001), female sex (p = 0.006), higher number of dependents (p = 0.007), and type of media used (p = 0.005) were significantly associated with excess weight. The habit of reading nutrition labels was not independently associated with excess weight; however, better label understanding was associated with changes in food purchasing decisions. Considering the nutritional quality of foods as an important factor in food choices was associated with lower odds of having excess weight, although this association did not reach conventional levels of statistical significance (OR = 0.403; 95% CI: 0.15–1.00; p = 0.056). Conclusions: Excess weight among Brazilian adults was more strongly associated with sociodemographic and behavioral factors than with the habit of reading nutrition labels. Although nutrition labeling was not directly associated with excess weight, label understanding and perceived nutritional quality influenced food purchasing behaviors. These findings highlight the role of nutrition labeling and food advertising in shaping food choices and underscore the need for longitudinal studies to clarify their relationship with excess weight and related health outcomes.

## Full-text entities

- **Diseases:** overweight (MESH:D050177), CNCDs (MESH:D000073296), obese (MESH:D009765), abdominal obesity (MESH:D056128), hypertension (MESH:D006973), deaths (MESH:D003643), malnutrition (MESH:D044342), arterial hypertension (MESH:D000081029), excess (MESH:D006970), injury to (MESH:D014947), cardiometabolic diseases (MESH:D024821), Excess Weight (MESH:D015431), CVDs (MESH:D002318), diabetes (MESH:D003920), COVID-19 (MESH:D000086382)
- **Chemicals:** trans" fatty acids (MESH:D044242), Cholesterol (MESH:D002784), alcohol (MESH:D000438), Sugar (MESH:D000073893), Sodium (MESH:D012964), saturated fats (-), triglyceride (MESH:D014280), saturated fatty acids (MESH:D005227), carbohydrate (MESH:D002241)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

57 references — full list in the complete paper: https://tomesphere.com/paper/PMC12942836/full.md

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Source: https://tomesphere.com/paper/PMC12942836