The Correlation between Ultra-Processed Food Consumption and Increased Risk of Chronic Disease in the Context of a Modern Lifestyle

Authors

  • Firdausi Ramadhani Universitas Gorontalo Author

DOI:

https://doi.org/10.62872/6at1zw76

Keywords:

Ultra-processed foods, Modern lifestyle , Chronic diseases, Physical activity., Logistic regression

Abstract

Changes in food consumption patterns in the urbanization era have increased the proportion of ultra-processed foods (UPFs) in the daily diet, which is associated with an increased prevalence of chronic diseases. This study aims to analyze the relationship between UPF consumption and the risk of chronic diseases in the context of modern lifestyles in Indonesia. The study design used a quantitative cross-sectional approach in 420 respondents aged 20–59 years in urban areas, who were selected purposively. Data were collected through the NOVA classification-based Food Frequency Questionnaire, the International Physical Activity Questionnaire, the Perceived Stress Scale, and examinations of chronic disease risk indicators by health workers. Analysis was performed using multivariate logistic regression. The results showed that high UPF consumption increased the risk of chronic diseases by 4.66 times compared to low consumption (p<0.001). Other significant factors included low physical activity (OR=2.42 ) , poor sleep patterns (OR=1.91), high stress (OR=2.05), age ≥40 years (OR=2.31), smoking (OR=1.96), and family history of disease (OR=2.48). Gender and socioeconomic status were not significant. In conclusion, high UPF consumption, exacerbated by unhealthy lifestyle behaviors , significantly increases the risk of chronic disease. Comprehensive public health interventions are needed, including nutrition education, physical activity promotion, stress management, and UPF marketing controls.

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References

1. Adam, T. C., & Epel, E. S. (2007). Stress, eating and the reward system. Physiology & Behavior, 91(4), 449–458.

2. Barrington, W. E., Ceballos, R. M., Bishop, S. K., McGregor, B. A., & Beresford, S. A. (2014). Perceived stress, behavior, and body mass index among adults participating in a worksite obesity prevention program, Seattle, 2005–2007. Preventing Chronic Disease, 11, E152. https://doi.org/10.5888/pcd11.140053

3. Buxton, O. M., & al., et. (2012). Sleep restriction and metabolic risk. Science Translational Medicine, 4(129), 129ra43.

4. Cediel, G., Reyes, M., da Costa Louzada, M. L., Martinez Steele, E., Monteiro, C. A., Corvalan, C., & 5. Uauy, R. (2021). Ultra-processed foods and added sugars in the Chilean diet (2010). Public Health Nutrition, 24(6), 1540–1548. https://doi.org/10.1017/S1368980020000111

6. Chen, X., Zhang, Z., & Yang, H. (2020). Consumption of ultra-processed foods and health outcomes: A systematic review. Nutrients, 12(7), 1955. https://doi.org/10.3390/nu12071955

7. Chiolero, A., Faeh, D., Paccaud, F., & Cornuz, J. (2008). Consequences of smoking for body weight, body fat distribution, and insulin resistance. The American Journal of Clinical Nutrition, 87(4), 801–809. https://doi.org/10.1093/ajcn/87.4.801

8. Elizabeth, L., Machado, P., Zinöcker, M., Baker, P., & Lawrence, M. (2020). Ultra-processed foods and health outcomes: A narrative review. Nutrients, 12(7), 1955. https://doi.org/10.3390/nu12071955

9. Fardet, A. (2018). Minimally processed foods are more satiating and less hyperglycemic. Nutrients, 10(9), 1286.

10. Fiolet, T., Srour, B., & Sellem, L. (2018). Consumption of ultra-processed foods and cancer risk: Results from NutriNet-Santé prospective cohort. BMJ, 360, k322. https://doi.org/10.1136/bmj.k322

Guthold, R., & al., et. (2018). Worldwide trends in insufficient physical activity. The Lancet Global Health, 6(10), e1077–e1086.

11. Hall, K. D. (2019). Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial. Cell Metabolism, 30(1), 67–77. https://doi.org/10.1016/j.cmet.2019.05.008

12. Hall, K. D., & Guo, J. (2020). Obesity energetics: Body weight regulation and the effects of diet composition. Gastroenterology, 158(7), 1939–1952. https://doi.org/10.1053/j.gastro.2020.01.052

Khandpur, N., Cediel, G., Obando, D. A., & Jaime, P. C. (2022). Sociocultural drivers of ultra-processed food consumption in Latin America: A qualitative study. Public Health Nutrition, 25(1), 10–21. https://doi.org/10.1017/S1368980021003791

13. Khera, A. V, & Kathiresan, S. (2016). Genetics of coronary artery disease: discovery, biology and clinical translation. Nature Reviews Genetics, 18(6), 331–344. https://doi.org/10.1038/nrg.2016.160

Louzada, M. L. C., & al., et. (2018). Ultra-processed foods and obesity in Brazilian households. Public Health Nutrition, 21(1), 94–102.

14. Machado, P. P., Steele, E. M., & Levy, R. B. (2021). Ultra-processed food consumption and diet quality among US adults. Public Health Nutrition, 24(6), 3343–3352. https://doi.org/10.1017/S1368980020005002

15. Mendonça, R. D., & al., et. (2017). Ultra-processed food consumption and risk of overweight and obesity. Public Health Nutrition, 20(1), 27–39.

16. Monteiro, C. A. (2019). Ultra-processed foods: what they are and how to identify them. Public Health Nutrition, 22(5), 936–941. https://doi.org/10.1017/S1368980018003762

17. Nardocci, M., & al., et. (2019). Consumption of ultra-processed foods and obesity in Canada. Canadian Journal of Public Health, 110(1), 4–14.

18. Pagliai, G., Dinu, M., Madarena, M. P., Bonaccio, M., Iacoviello, L., & Sofi, F. (2021). Consumption of ultra-processed foods and health status: A systematic review and meta-analysis. British Journal of Nutrition, 125(3), 308–318. https://doi.org/10.1017/S0007114520002688

19. Paquet, C. (2021). Processed food consumption and inflammatory markers: A systematic review. Nutrients, 13(5), 1716. https://doi.org/10.3390/nu13051716

20. Patel Y.; Sohal, N., T. R. . Z. (2023). Ultrasonography in the Evaluation of Obstructive Jaundice: A Clinical Perspective. Journal of Diagnostic Imaging, 9(4), 88–94.

21. Rahmawati, E. (2021). Fast food consumption and risk of metabolic syndrome in Indonesian adults. BMC Public Health, 21(1), 215. https://doi.org/10.1186/s12889-021-10285-9

22. Rangan, A., & al., et. (2021). Ultra-processed food consumption and adiposity in Australian adults. Nutrients, 13(11), 3900.

23. RI, K. (2023). Laporan Riset Kesehatan Dasar. Kementerian Kesehatan Republik Indonesia.

24. Seals, D. R., Jablonski, K. L., & Donato, A. J. (2016). Aging and vascular endothelial function in humans. Clinical Science, 131(4), 3021–3035. https://doi.org/10.1042/CS20160361

25. Srour, B., & al., et. (2020). Ultra-processed food intake and risk of mortality. JAMA Internal Medicine, 180(2), 283–291.

26. Swinburn, B. A., Kraak, V. I., Allender, S., Atkins, V. J., Baker, P. I., Bogard, J. R., Brinsden, H., Calvillo, A., De Schutter, O., & Devarajan, R. (2019). The Global Syndemic of Obesity, Undernutrition, and Climate Change: The Lancet Commission report. The Lancet, 393(10173), 791–846. https://doi.org/10.1016/S0140-6736(18)32822-8

27. Taheri, S., & al., et. (2004). Short sleep duration is associated with reduced leptin and elevated ghrelin. PLoS Medicine, 1(3), e62.

28. Taillie, L. S., Reyes, M., Colchero, M. A., Popkin, B. M., & Corvalan, C. (2020). An evaluation of Chile’s Law of Food Labeling and Advertising on sugar-sweetened beverage purchases from 2015 to 2017: A before-and-after study. PLOS Medicine, 17(2), e1003015. https://doi.org/10.1371/journal.pmed.1003015

29. Zuraikat, F. M., & al., et. (2020). Sleep quality and diet quality. Journal of the Academy of Nutrition and Dietetics, 120(5), 786–796.

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Published

2025-08-11

How to Cite

The Correlation between Ultra-Processed Food Consumption and Increased Risk of Chronic Disease in the Context of a Modern Lifestyle. (2025). Oshada, 2(4), 1-12. https://doi.org/10.62872/6at1zw76

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