Perceived Barriers to Healthy Eating and Their Association with Dietary Behaviors: An Analytical Cross-Sectional Study
Perceived Barriers to Healthy Eating and Their Association with Dietary Behaviors
DOI:
https://doi.org/10.54393/pbmj.v9i6.1379Keywords:
Healthy Eating, Perceived Barriers, Dietary Behavior, Fast FoodAbstract
Several perceived barriers, including time constraints, food costs, convenience of fast food, and limited cooking skills, influence healthy eating. Objectives: To identify which of four perceived barriers to healthy eating—lack of time, cost of fresh ingredients, convenience of fast food, and lack of cooking skills—are most strongly associated with dietary behaviors. Methods: An analytical cross-sectional study of 150 respondents assessed agreement with four barrier statements on a 5-point Likert scale and current dietary habits. Non-parametric procedures were employed: Spearman's correlation for bivariate associations, Kruskal-Wallis H-test with epsilon-squared effect size, and Dunn's post hoc test with Bonferroni correction. Results: Cost of fresh ingredients showed the strongest associations, correlating with slow food frequency (ρ = −0.406, p<0.001), slow food change (ρ = −0.325, p<0.001), and diet health (ρ = −0.375, p<0.001), with the highest effect size across slow food groups (ε² = 0.219). Convenience correlated with fast-food consumption (ρ = 0.275, p=0.001), as did lack of cooking skill (ρ = 0.242, p=0.003). Lack of time showed only a weak association with slow food frequency (ρ = −0.194, p<0.005). Conclusions: Perceived cost is most closely associated with reduced home cooking and lower diet quality, whereas convenience and cooking self-efficacy are associated with increased fast-food consumption. Interventions targeting affordability and cooking skills may be more effective than time-management messages.
References
Vélez-Toral M, Rodríguez-Reinado C, Ramallo-Espinosa A, Andrés-Villas M. “It’s Important But, On What Level?”: Healthy Cooking Meanings and Barriers to Healthy Eating Among University Students. Nutrients. 2020 Jul; 12(8): 2309. DOI: https://doi.org/10.3390/nu12082309
Louey J, He J, Partridge SR, Allman‐Farinelli M. Facilitators and Barriers to Healthful Eating Among Adolescents in High‐Income Countries: A Mixed‐Methods Systematic Review. Obesity Reviews. 2024 Nov; 25(11): e13813. DOI: https://doi.org/10.1111/obr.13813
Yang J, Bernard L, Ting A, Sullivan VK, Rebholz CM. Perceived Motivators and Barriers to Consuming a Plant-Based Diet: A Qualitative Research Study. BioMed Central Nutrition. 2025 Jun; 11(1): 108. DOI: https://doi.org/10.1186/s40795-025-01100-7
Quintiliano-Scarpelli D, Araújo LD, Zancheta Ricardo C. Sociodemographic, Economic, and Health Factors Associated with Ultra-Processed Food Intake Among Older Adults in Chile. Nutrients. 2026 Jun; 18(12): 1899. DOI: https://doi.org/10.3390/nu18121899
Kasprzak CM, Sauer HA, Schoonover JJ, Lapp MM, Leone LA. Barriers and Facilitators to Fruit and Vegetable Consumption among Lower-Income Families: Matching Preferences with Stakeholder Resources. Journal of Hunger and Environmental Nutrition. 2021 Jul; 16(4): 490-508. DOI: https://doi.org/10.1080/19320248.2020.1802383
De Filippo A, Meldrum G, Samuel F, Tuyet MT, Kennedy G et al. Barrier Analysis for Adequate Daily Fruit and Vegetable Consumption Among Low-Income Residents of Hanoi, Vietnam, and Ibadan, Nigeria. Global Food Security. 2021 Dec; 31: 100586. DOI: https://doi.org/10.1016/j.gfs.2021.100586
UNICEF. The State of Food Security and Nutrition in the World 2021. FAO. 2021.
Dolcini J, Ponzio E, D’Errico MM, Barbadoro P. Socioeconomic Differences in Dietary Habits in Italy Before and During COVID-19 Pandemic: Secondary Analysis of a Nationwide Cross-Sectional Study. BioMed Central Public Health. 2024 Jan; 24(1): 153. DOI: https://doi.org/10.1186/s12889-023-17530-6
Stea TH, Nordheim O, Bere E, Stornes P, Eikemo TA. Fruit and Vegetable Consumption in Europe According to Gender, Educational Attainment and Regional Affiliation—A Cross-Sectional Study in 21 European Countries. PLOS ONE. 2020 May; 15(5): e0232521. DOI: https://doi.org/10.1371/journal.pone.0232521
Patel KH, Lin BN, Mullins J, Mortensen AS, Stacey SK, Lin B. Barriers to Fresh Fruit and Vegetable Access in Adult Patients in the Mayo-La Crosse Family Medicine Residency Clinic. Cureus. 2024 Jun; 16(6). DOI: https://doi.org/10.7759/cureus.63114
Ewoldt L, Ng SW, Popkin BM, Taillie LS. Trends in Home Cooking among United States Adults from 2003 to 2023: Analysis of American Time Use Survey Food Preparation. Current Developments in Nutrition. 2025 Sep; 9(9): 107529. DOI: https://doi.org/10.1016/j.cdnut.2025.107529
Lins MF, Botelho RB, Romão B, Torres ML, Guimarães NS, Zandonadi RP. Assessment of Validated Instruments for Measuring Cooking Skills in Adults: A Scoping Review. Foods. 2024 Dec; 13(23): 3933. DOI: https://doi.org/10.3390/foods13233933
Brasington N, Bucher T, Beckett EL. Correlations Between Convenience Cooking Product Use and Vegetable Intake. Nutrients. 2022 Feb; 14(4): 848. DOI: https://doi.org/10.3390/nu14040848
Jurado-Gonzalez P, Medina FX, Bach-Faig A. Barriers to Home Food Preparation and Healthy Eating among University Students in Catalonia. Appetite. 2024 Mar; 194: 107159. DOI: https://doi.org/10.1016/j.appet.2023.107159
Jurado-González P, López-Toledo S, Bach-Faig A, Medina FX. Barriers and Enablers of Healthy Eating among University Students in Oaxaca de Juárez: A Mixed-Methods Study. Nutrients. 2025 Apr; 17(7): 1263. DOI: https://doi.org/10.3390/nu17071263
Pinho MG, Mackenbach JD, Charreire H, Oppert JM, Bárdos H, Glonti K et al. Exploring the Relationship Between Perceived Barriers to Healthy Eating and Dietary Behaviours in European Adults. European Journal of Nutrition. 2018 Aug; 57(5): 1761-70. DOI: https://doi.org/10.1007/s00394-017-1458-3
Vargha A and Delaney HD. The Kruskal-Wallis Test and Stochastic Homogeneity. Journal of Educational and Behavioral Statistics. 1998 Jun; 23(2): 170-92. DOI: https://doi.org/10.3102/10769986023002170
Spearman C. The Proof and Measurement of Association Between Two Things. The American Journal of Psychology. 1987 Oct; 100(3/4): 441-71. DOI: https://doi.org/10.2307/1422689
Kumar-M P and Mishra A. Inferential Statistics for the Hypothesis Testing of Non-Parametric Data. InR for Basic Biostatistics in Medical Research. Singapore: Springer Nature Singapore. 2024 Dec: 157-197. DOI: https://doi.org/10.1007/978-981-97-6980-3_8
Tomczak M and Tomczak E. The Need to Report Effect Size Estimates Revisited. An Overview of Some Recommended Measures of Effect Size. 2014.
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