The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Ultra-processed foods and recommended intake levels of nutrients linked to non-communicable diseases in Australia: evidence from a nationally representative cross-sectional study
Open accessAbstract
Objective: This study aimed to describe the consumption of ultra-processed foods in Australia and its association with the intake of nutrients linked to non-communicable diseases (NCDs). Design: Cross-sectional study. Setting: National Nutrition and Physical Activity Survey (2011-2012). Participants: 12,153 participants aged 2+ years. Main outcome measures: Average dietary content of nutrients linked to NCDs and the prevalence of intake outside levels recommended for the prevention of NCDs. Data analysis: Food items were classified according to the NOVA system, a classification based on the nature, extent and purpose of industrial food processing. The contribution of each NOVA food group and their subgroups to total energy intake was calculated. Mean nutrient content of ultra-processed food and non-ultra-processed food fractions of the diet were compared. Across quintiles of the energy contribution of ultra-processed foods, differences in the intake of nutrients linked to NCDs as well as in the prevalence of intakes outside levels recommended for the prevention of NCDs were examined. Results: Ultra-processed foods had the highest dietary contribution (42.0% of energy intake), followed by unprocessed or minimally processed foods (35.4%), processed foods (15.8%) and processed culinary ingredients (6.8%). A positive and statistically significant linear trend was found between quintiles of ultra-processed food consumption and intake levels of free sugars (standardised β 0.43, p<0.001); total (β 0.08, p<0.001), saturated (β 0.18, p<0.001) and trans fats (β 0.10, p<0.001); sodium (β 0.21, p<0.001) and diet energy density (β 0.41, p<0.001), while an inverse relationship was observed for dietary fibre (β -0.21, p<0.001) and potassium (β -0.27, p<0.001). The prevalence of non-recommended intake levels of all studied nutrients increased linearly across quintiles of ultra-processed food intake, notably from 22% to 82% for free sugars, from 6% to 11% for trans fat and from 2% to 25% for dietary energy density, from the lowest to the highest ultra-processed food quintile. Conclusion: The high energy contribution of ultra-processed foods impacted negatively on the intake of non-ultra-processed foods and on all nutrients linked to NCDs in Australia. Decreasing the dietary share of ultra-processed foods would substantially improve the diet quality in the country and help the population achieve recommendations on critical nutrients linked to NCDs.
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Cites
The global obesity pandemic: shaped by global drivers and local environments
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Ultra-processed foods: What they are and how to identify them
Monteiro, C. A., Cannon, G., Levy, R. B., Moubarac, J.-C., Louzada, M. L., Rauber, F., Khandpur, N., Cediel, G., Neri, D., Martinez-Steele, E., et al. (2019) · Public Health Nutrition · doi:10.1017/s1368980018003762 · Cited by 2,964
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Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults
Louzada, M. L. D. C., Baraldi, L. G., Steele, E. M., Martins, A. P. B., Canella, D. S., Moubarac, J.-C., Levy, R. B., Cannon, G., Afshin, A., Imamura, F., et al. (2015) · Preventive Medicine · doi:10.1016/j.ypmed.2015.07.018 · Cited by 656
Self-citationRauber, F., Da Costa Louzada, M. L., Steele, E., Millett, C., Monteiro, C. A., & Levy, R. B. (2018) · Nutrients · doi:10.3390/nu10050587 · Cited by 628
Self-citationMartínez Steele, E., Popkin, B. M., Swinburn, B., & Monteiro, C. A. (2017) · Population Health Metrics · doi:10.1186/s12963-017-0119-3 · Cited by 585 · cited 1×
“31–34 37 38 In Australia, the prevalence ratios of non-recommended nutrient intake levels among people in the fifth quintile of ultra-processed food consumption were higher in comparison with the USA (2.9 times more likely to exceed added sugars intake than the first quintile) 31 and the UK (1.1…”
BackgroundInfluentialSelf-citationBig food, food systems, and global health
Stuckler, D., & Nestle, M. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001242 · Cited by 516
Mendonça, R. D. D., Lopes, A. C. S., Pimenta, A. M., Gea, A., Martinez-Gonzalez, M. A., & Bes-Rastrollo, M. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpw137 · Cited by 488
Tavares, L. F., Fonseca, S. C., Garcia Rosa, M. L., & Yokoo, E. M. (2012) · Public Health Nutrition · doi:10.1017/s1368980011001571 · Cited by 328
Ultra-processed foods and the limits of product reformulation
Scrinis, G., & Monteiro, C. A. (2018) · Public Health Nutrition · doi:10.1017/s1368980017001392 · Cited by 188 · cited 1×
“…the limitations of the Australian Health Star Rating System to support healthy choices in agreement with the ADGs 56 and the limits of the ultra-processed food reformulation to address unhealthy diets 57 reinforce the need for targeted strategies to reduce the consumption of ultra-processed foods.”
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Cited by
Baker, P., Machado, P., Santos, T., Sievert, K., Backholer, K., Hadjikakou, M., Russell, C., Huse, O., Bell, C., Scrinis, G., et al. (2020) · Obesity Reviews · doi:10.1111/obr.13126 · Cited by 1,194
Self-citationLane, M. M., Davis, J. A., Beattie, S., Gómez‐Donoso, C., Loughman, A., O'Neil, A., Jacka, F., Berk, M., Page, R., Marx, W., et al. (2021) · Obesity Reviews · doi:10.1111/obr.13146 · Cited by 564
Martini, D., Godos, J., Bonaccio, M., Vitaglione, P., & Grosso, G. (2021) · Nutrients · doi:10.3390/nu13103390 · Cited by 481
Ultra-processed foods and human health: the main thesis and the evidence
Monteiro, C. A., Louzada, M. L., Steele-Martinez, E., Cannon, G., Andrade, G. C., Baker, P., Bes-Rastrollo, M., Bonaccio, M., Gearhardt, A. N., Khandpur, N., et al. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01565-x · Cited by 339
Self-citationNeri, D., Steele, E. M., Khandpur, N., Cediel, G., Zapata, M. E., Rauber, F., Marrón‐Ponce, J. A., Machado, P., da Costa Louzada, M. L., Andrade, G. C., et al. (2022) · Obesity Reviews · doi:10.1111/obr.13387 · Cited by 172
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Metadata
- Authors
- Machado, P. P., Steele, E. M., Levy, R. B., Sui, Z., Rangan, A., Woods, J., Gill, T., Scrinis, G., & Monteiro, C. A.
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2019-08
- Volume
- 9
- Issue
- 8
- Pages
- e029544
- ISSN
- 2044-6055 (ISSN-L)
- OpenAlex
- W2970500414
- Cited by
- 270
- References
- 10
- FWCI
- 26.21
- Type
- journal article
- Language
- en
- Open access
- gold
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- Machado, P. P., Steele, E. M., Levy, R. B., Sui, Z., Rangan, A., Woods, J., Gill, T., Scrinis, G., & Monteiro, C. A. (2019). Ultra-processed foods and recommended intake levels of nutrients linked to non-communicable diseases in Australia: evidence from a nationally representative cross-sectional study. BMJ Open. https://doi.org/10.1136/bmjopen-2019-029544
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