Journal of Food Nutrition and Health

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Reach Us +1 (202) 780-3397

Commentary - Journal of Food Nutrition and Health (2023) Volume 6, Issue 3

Influence of Socio-Demographic Factors on Consumer Perception and Behavior

Kaitlin Wade*

Department of Nutrition and Epidemiology, University Park, Boston, USA

*Corresponding Author:
Kaitlin Wade
Department of Nutrition and Epidemiology
University Park, Boston, USA

Received: 31-May-2023, Manuscript No. AAJFNH-23-101007; Editor assigned: 05-Jun-2023, Pre QC No. AAJFNH-23-101007(PQ); Reviewed: 19-Jun-2023, QC No. AAJFNH-23-101007; Revised: 23-Jun-2023, Manuscript No. AAJFNH-23-101007(R); Published: 30-Jun-2023, DOI:10.35841/aajfnh-6.3.156

Citation: Wade K. Influence of socio-demographic factors on consumer perception and behaviour. J Food Nutr Health. 2023;6(3):156

Visit for more related articles at Journal of Food Nutrition and Health


Older individuals tend to pay more attention to food labels and are more likely to use them to make informed choices about their dietary intake. This can be attributed to a greater awareness of health concerns and chronic diseases that often accompany aging. In contrast, younger individuals, especially adolescents, may be less attentive to food labels and prioritize taste and convenience over nutritional information. Education is another crucial socio-demographic factor that affects food labelling. Research has consistently shown that individuals with higher levels of education tend to have a better understanding of food labels and are more likely to use them to guide their food choices. Education equips individuals with the knowledge and skills necessary to interpret complex information on food labels, such as nutrient content, serving sizes, and ingredient lists. Conversely, individuals with lower levels of education may struggle to comprehend and apply the information provided on food labels [1].

Income plays a significant role in shaping individuals' food labelling behaviours. Higher-income individuals often have greater access to healthier food options and may be more inclined to prioritize nutritional information provided on food labels. They may also be more likely to seek out organic or sustainably produced products, leading them to pay closer attention to labels that certify such qualities. Conversely, individuals with lower incomes may have limited choices and may prioritize affordability over nutritional content or other label information.

Cultural background is an important socio-demographic factor that can impact food labelling perceptions and behaviors. Different cultural groups may have unique dietary preferences, taboos, and beliefs, which can influence their interpretation and use of food labels. For example, individuals from cultures that traditionally prioritize fresh, whole foods may be less inclined to rely on processed food labels. Furthermore, language barriers can also affect individuals' understanding and utilization of food labels, particularly for those who are not fluent in the language used on the labels [2].

Implications for Public Health

The impact of socio-demographic factors on food labelling has significant implications for public health. Understanding these factors allows policymakers and health organizations to develop targeted interventions and educational campaigns to improve individuals' understanding and utilization of food labels. Efforts should be made to ensure that food labelling is accessible, understandable, and relevant to diverse populations [3].

Moreover, food labelling regulations should be periodically evaluated and updated to reflect emerging scientific evidence and address the specific needs of various socio-demographic groups. For instance, label formats that cater to older adults or individuals with lower literacy levels can be designed to enhance comprehension and usability. Clear and consistent labelling can empower consumers to make informed choices, promote healthier dietary behaviors, and reduce the risk of chronic diseases [4].

Socio-demographic factors also influence consumer decisionmaking when it comes to food purchases. Understanding these factors can help food manufacturers and marketers develop strategies to effectively communicate the value of their products through labelling. For example, highlighting nutritional benefits, sustainability, or cultural relevance can resonate with specific socio-demographic groups and influence their purchasing decisions [5].


Food labelling is a crucial tool for promoting informed consumer choices and healthier dietary behaviours. However, the impact of food labelling can vary depending on sociodemographic factors such as age, education, income, and cultural background. By recognizing these variations, policymakers, health organizations, and food industry stakeholders can work towards enhancing food labelling practices to better serve the diverse needs of consumers. Ultimately, empowering individuals with accurate and accessible food label information contributes to the overall goal of improving public health and well-being.


  1. Verbeek JH. An approach to quantifying the potential importance of residual confounding in systematic reviews of observational studies: A GRADE concept paper. Environ Int. 2021;157.
  2. Indexed at, Google scholar, Cross ref

  3. Bellou V. Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses. PLoS ONE. 2018;13:1–27.
  4. Indexed at, Google scholar, Cross ref

  5. Greenland S. The fallacy of employing standardized regression coefficients and correlations as measures of effect. Am J Epidemiol. 1986;123:203–208.
  6. Indexed at, Google scholar, Cross ref

  7. Salas-Salvadó. Prevention of diabetes with Mediterranean diets: A subgroup analysis of a randomized trial. Ann Intern Med. 2014;160:1–10.
  8. Indexed at, Google scholar, Cross ref

  9. Roncero-Ramos I. Prediabetes diagnosis criteria, type 2 diabetes risk and dietary modulation: The CORDIOPREV study. Clin Nutr. 2020;39:492–500.
  10. Indexed at, Google scholar, Cross ref

Get the App