Midterm Project Submission

Partner. Sora Johnson

Title. Trends in Ultra-processed Food Consumption Among Cancer Survivors in the National Health and Nutrition Examination Survey (1999-2016): Are messages in the Dietary Guidelines for Americans reaching cancer survivors? 

Legend.

Data is from 4527 cancer survivors in the National Health and Nutrition Examination survey, where responses include self-reported 24-hour dietary recalls, self-reported race/ethnicity, and self-reported education levels. Fill gradient, as indicated on the right side of the graph, indicates the percentage of calories from ultraprocessed foods, with the dark grey color indicating that there were no cancer survivors from that survey cycle who fit into the category. The stars indicate the release of new dietary guidelines. This heatmap is paneled by education level, with the rightmost panel indicating the highest education.

Abstract

Cancer survivors have an increased risk of developing chronic comorbidities due to the toxicity of the treatments they receive [1]. A survivor’s diet is a modifiable life factor known to prevent many of these comorbidities [2-4]. The consumption of ultraprocessed foods is thus of concern, since these foods are high in unhealthy fats, refined starches, sugars, and salt, and low in dietary fibers and micronutrients [5]. We used dietary data from the National Health and Nutrition Examination Survey (1999-2016) to examine ultraprocessed food consumption among cancer survivors of different race/ethnicities and education levels. Despite the release of several dietary guidelines addressing the detrimental properties of ultraprocessed foods, there were few discernable patterns even when considering these sociodemographic factors. Our work highlights the limited impact of dietary guidelines among cancer survivors of all backgrounds, emphasizing the need to develop and evaluate more targeted intervention programs in this vulnerable group.

Keywords

cancer survivors; dietary guidelines; NHANES; ultraprocessed foods; sociodemographics; diet disparities

Highlights

  • Our research on ultraprocessed food intake among cancer survivors, across different education, race/ethnicities and years, shows little change over time.
  • Are Dietary Guidelines actually impacting those vulnerable to a poor diet? Our research on ultraprocessed food intake among cancer survivors suggests they are not. 

Visual Brief

Why aren’t the Dietary Guidelines for Americans impacting the diets of cancer survivors? Diet is especially important in this population, given the toxicity of radiation and chemotherapy and the known protective effects of a healthy diet. [1-4] Ultraprocessed foods are high in unhealthy fats, refined starches, sugars, and salt, and low in dietary fibers and micronutrients: in other words, poor dietary choices for this group. [5] Despite this, the consumption of these foods has varied widely over time among different education levels and ethnicities, with some groups consuming more than 50% of their daily calories from these sources and others consuming less than 25%. We utilized data from years 1999-2016 in the National Health and Nutrition Examination Survey (NHANES), examining average ultraprocessed food consumption over time among cancer survivors (n=4527). We further broke down our results by cycle year to show trends relative to different dietary guideline releases, as well as by race/ethnicity and education. Dietary data was collected from self-reported 24-hour recalls, and all demographic information was self-reported. Data was weighted according to NHANES analytic guidelines so that visual results were representative of the United States population at the time of each survey.

This paneled heatmap was created to better visualize potential patterns and trends of ultraprocessed food consumption over a seventeen-year time period, with visual markers (purple stars) representing the approximate release of new iterations of the Dietary Guidelines for Americans. A heatmap was chosen for this visual because it allowed for the comparison of three different categorical variables, after paneling by education level. The heatmaps were arranged with a common y axis of race/ethnicity, to allow for easy visual comparison of this race/ethnicities not only across cycle year but also by education level. The percentage of total calories from ultraprocessed foods was chosen as the fill color for the heatmap, due to the continuous nature of the variable and the ability to visualize subtle differences in consumption percentages among the groups.  

There were more disparities in ultraprocessed food consumption within the lower education categories, as visualized by the larger gradient distinctions in the left and middle panels compared to the right panel. Other than this, no other patterns or trends are apparent among different groups or over time. This was despite the release of several new dietary guidelines addressing components of ultraprocessed foods like unhealthy fats, sugars, and salt. Limitations of this study include the self-reported nature of the data, as well as a lack of consideration of other confounders that might affect diet access and quality. Future research on ultraprocessed food intake trends should consider analyzing other socioeconomic indicator variables, such as nutrition security. Further visualizations of NHANES data should consider adding additional panels of other socioeconomic factors, including different groupings of the variables to better identify potential trends and patterns. However, our research still highlights the limited impact of the dietary guidelines the cancer survivor population, emphasizing the need to develop and evaluate more targeted intervention programs in this vulnerable group.

1.American Cancer Society. Long-Term Side Effects of Cancer. Secondary Long-Term Side Effects of Cancer  2022. https://www.cancer.org/treatment/survivorship-during-and-after-treatment/long-term-health-concerns/long-term-side-effects-of-cancer.html.

2. Van Blarigan EL, Fuchs CS, Niedzwiecki D, et al. Association of Survival With Adherence to the American Cancer Society Nutrition and Physical Activity Guidelines for Cancer Survivors After Colon Cancer Diagnosis: The CALGB 89803/Alliance Trial. JAMA Oncol 2018;4(6):783-90 doi: 10.1001/jamaoncol.2018.0126.

3. Hurtado-Barroso S, Trius-Soler M, Lamuela-Raventós RM, Zamora-Ros R. Vegetable and Fruit Consumption and Prognosis Among Cancer Survivors: A Systematic Review and Meta-Analysis of Cohort Studies. Adv Nutr 2020;11(6):1569-82 doi: 10.1093/advances/nmaa082.

4. Schwedhelm C, Boeing H, Hoffmann G, Aleksandrova K, Schwingshackl L. Effect of diet on mortality and cancer recurrence among cancer survivors: a systematic review and meta-analysis of cohort studies. Nutr Rev 2016;74(12):737-48 doi: 10.1093/nutrit/nuw045.

5. Monteiro CA, Cannon G, Moubarac J-C, Levy RB, Louzada MLC, Jaime PC. The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutrition 2018;21(1):5-17 doi: 10.1017/s1368980017000234

Peer Feedback Review

When providing feedback on your partner’s initial submission, please comment on ways the visual can be improved with respect to the 4 E’s. Keep your responses to 1-2 sentences per principle. Use the template shown here to structure your feedback, which should be posted as a comment below.

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Evidence: Please enter your comment here.
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Emphasis: Please enter your comment here.
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Self Reflection

Please reflect on what revisions you have made to your visual and abstract. Respond to the following questions regarding questions you have made in 1-2 sentences each. Use the template shown here to structure your feedback, which should be posted as a comment below.

• What changes did you make when revising your visual?
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What changes did you make when revising your general description? Why?
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What changes did you make when revising your scientific description? Why?
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One thought on “

  • March 11, 2023 at 8:41 pm
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    When providing feedback on your partner’s initial submission, please comment on ways the visual can be improved with respect to the 4 E’s. Keep your responses to 1-2 sentences per principle. Use the template shown here to structure your feedback, which should be posted as a comment below.

    Feedback Giver Name: Sora Johnson

    Presentation Feedback:
    > At timestamp 1:28ish you talk about the variables on the graph and you’ve flipped them in your commentary. You say the cycle year is on the y-axis and consumption is on the x-axis when it’s the opposite in the graph.

    I really liked your presentation; you had good speed throughout and it was very clear to follow along; great storytelling!

    Evidence: Nothing but good feedback here; the changes you made to your graphic addressed my previous comments regarding evidence.
    Efficiency: I really like the way you communicated the information; I liked that you contextualized the relevance with enough background information that it was clear what the main message for each of your presented graphics was. Your points were easy to follow and
    Emphasis: I liked how you walked through each of your graphics. Because you already outlined the message of your graphics in the beginning, you were able to spend time describing how to read the graphic which I think is a good use of the limited time.
    Ethics: The way you communicated your information was straightforward and did not raise any questions about the sincerity or legitimacy of your data or your graphics. I think adding more to your figure legend also added a visual aid to clarify any points that could have been misinterpreted.

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