2-D Plot Submission

Partners. Sora Johnson

Title. Trends in Percentage of Calories from Ultraprocessed Foods Over Nine NHANES Cycles (1999-2016): Comparing Different Income to Poverty Level Ratios

Legend. Data source: 24-hour dietary recalls, self-reported income from the National Health and Nutrition Examination Survey (1999-2016). Each line represents ultraprocessed food consumption of participants living at different income/poverty level ratios. Ratios calculated based on national poverty level at time of survey administration. Line types: red long-short dash, living at/below poverty level; orange long dash, living above poverty level up to two times the poverty level; green square long dash, living above two times poverty level up to three times, blue square, living above three times poverty level, up to four times; and purple regular, living above four times poverty level.

2-D Plot Revision

Partner: Sora Johnson

Title. Percentage of Calories from Ultraprocessed Foods Among Cancer Survivors Do Not Differ by Poverty Income Ratio: Visualizing Trends from Nine NHANES Cycles (1999-2016)

Legend. Data source: 24-hour dietary recalls, self-reported income from the National Health and Nutrition Examination Survey (1999-2016). Each line represents ultraprocessed food consumption of participants living at different ratios of income/poverty level. Ratios calculated based on national poverty level at time of survey administration. Line types: red long-short dash, living at/below poverty level; orange long dash, living above poverty level up to two times the poverty level; green square long dash, living above two times poverty level up to three times, blue square, living above three times poverty level, up to four times; and purple regular, living above four times poverty level.

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 over time among different income/poverty level ratios. Despite the release of several dietary guidelines addressing the detrimental properties of ultraprocessed foods, consumption remained steady within the cancer survivor population, with little meaningful differences between income to poverty level ratios. Our work highlights the limited impact of dietary guidelines among cancer survivors, 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.

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 over time among different ratios of income/poverty level. Despite the release of several dietary guidelines addressing the detrimental properties of ultraprocessed foods, consumption remained steady within the cancer survivor population, with little meaningful differences between income to poverty level ratios. Our work highlights the limited impact of dietary guidelines among cancer survivors, 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.

Keywords

cancer survivors; dietary guidelines; NHANES; poverty/income ratio; ultraprocessed foods

Keywords

cancer survivors; dietary guidelines; NHANES; ratio of poverty/income; ultraprocessed foods

Highlights

  • Our research on ultraprocessed food intake among cancer survivors and across different incomes and years shows unchanging levels 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. 

Highlights

  • Our research on ultraprocessed food intake among cancer survivors and across different incomes and years shows unchanging levels 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. Ultraprocessed foods are high in unhealthy fats, refined starches, sugars, and salt, and low in dietary fibers and micronutrients. Despite this, the consumption of these foods has remained consistent among survivors, with no changes noticeable even when considering different income to poverty level ratios. We utilized nine cycles of data from the National Health and Nutrition Examination Survey (1999-2016), examining average ultraprocessed food consumption over time among different income to poverty level ratios. Poverty levels were representative of the national poverty level at the time of survey administration. Participants were grouped based on the ratio of their self-reported family income level to the national poverty level. Dietary data was collected from self-reported 24-hour recalls. We created this visual showing ultraprocessed food consumption over a seventeen-year time period, with different lines depicting the intake levels for different income to poverty level ratio groups. Average ultraprocessed food consumption remained steady over the years, with little meaningful differences between income to poverty level ratios, despite the release of several new dietary guidelines addressing fats, sugars, and salts over the time period covered in this study. 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 adding other socioeconomic indicator variables, in addition to assessing other diet quality factors. However, our research still highlights the limited impact of the dietary guidelines on the cancer survivor population, emphasizing the need to develop and evaluate more targeted intervention programs in this vulnerable group.

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. Ultraprocessed foods are high in unhealthy fats, refined starches, sugars, and salt, and low in dietary fibers and micronutrients. Despite this, the consumption of these foods has remained consistent among survivors, with no changes noticeable even when considering different ratios of income to poverty level. We utilized nine cycles of data from the National Health and Nutrition Examination Survey (1999-2016), examining average ultraprocessed food consumption over time among different ratios of income to poverty level. Poverty levels were representative of the national poverty level at the time of survey administration. Participants were grouped based on the ratio of their self-reported family income level to the national poverty level. Dietary data was collected from self-reported 24-hour recalls. We created this visual showing ultraprocessed food consumption over a seventeen-year time period, with different lines depicting the intake levels for different groups of income-to-poverty-level ratios. Average ultraprocessed food consumption remained steady over the years, with little meaningful differences between income to poverty level ratios, despite the release of several new dietary guidelines addressing fats, sugars, and salts over the time period covered in this study. 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 adding other socioeconomic indicator variables, in addition to assessing other diet quality factors. However, our research still highlights the limited impact of the dietary guidelines on the cancer survivor population, emphasizing the need to develop and evaluate more targeted intervention programs in this vulnerable group.

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.

Feedback Giver Name: Please enter your name here.
Evidence: Please enter your comment here.
Efficiency: Please enter your comment here.
Emphasis: Please enter your comment here.
Ethics Please enter your comment here.

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?
Based on feedback I received, I changed the wording of my y axis and my title to make the focus of my visual more clear including the fact that the percentage of UPF graphed was the percentage of total calories in the diet.

What changes did you make when revising your general/scientific description? Why?
For both the scientific and the general description, I changed the wording of all of the statements where I referred to poverty, instead using the phrase “ratio of income to poverty level), to make it more clear what the word ratio was referring to.

3 thoughts on “

  • February 21, 2023 at 6:22 pm
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    Evidence: as in the 1-D plot from last week, the data source is clearly stated in the figure legend; NHANES is a reliable source of data and the addition of the method of data collection (it being self-reported data) is a great improvement. Another great feature is stating the number of cycles included in the title.

    Efficiency: this type of graph is easy to follow and read—I think you chose a good type of graph to display the information and communicate the message you are sending to your audience. The explanations for how each category is displayed in terms of color and line type is clear and easy to understand. Very clear presentation of % calories from UPF across each category, with little-to-no distortion. A couple things that could help increase the clarity of the visual by itself is 1) to label the y-axis “Percentage of Total Calories (%)” or “Percentage of Total Calories from UPFs (%)” so that even without reading the legend/abstract, the reader knows what is being shown on the graph. 2) another consideration is changing the y-axis scale; this may be controversial because it is intuitive to have 100% be the top of the graph when showing a proportion of something, however, at the same time, most of the data falls between 45% and 60%, so changing the scale of the graph can improve the resolution of the data.

    Emphasis: not to sound redundant, but I think the abstract provided salient and relevant information about the graphic and the data. I also like the title for this graphic, as it describes the relationship of interest in the visualization. One thing that could be considered is making the “so what” of the graphic clear in the title as you mention in the last couple sentences of the abstract. Perhaps including something like:

    “Ultraprocessed Food (UPF) as a proportion of total calorie intake in cancer survivors has not changed significantly across different sociodemographic groups from 1999-2016: Trends in percentage of total calories from UPS foods over nine NHANES cycles”

    Depending on how important the comparisons of the different income to poverty level ratios is, this could be something that is included in the title (the underlined part) or is explained further in the legend.

    Ethics: I would say this graphic, similar to the 1-D graphic from last week is perhaps intended for someone in the policy or nutrition communications space, (i.e., an expert or professional in the health care/policy space). However, given the type of graph and the accompanying text, I I believe a non-expert would also understand what the graph is showing. I think the only thing that could be emphasized earlier in the piece (either in the title or as the first statement in the abstract is the message that there is no significant difference between income-poverty level ratios or change across the 9 cycles in % calories from UPF.

    Great graphic!

  • February 25, 2023 at 8:46 pm
    Permalink

    What changes did you make when revising your visual?

    I changed some of the titles within my visual to improve the clarity of my message, based on Sora’s feedback that this might be helpful

    What changes did you make when revising your general/scientific description? Why?

    For both descriptions (and policy briefs), based on Corby’s feedback, I reworded the sentences where I referred to “income to poverty level ratios,” changing this to “rates of income to poverty level.” I realized that my initial wording was confusing in terms of what ratios I was actually referring to. For the policy briefs, I also tried to clarify the sentences where I referred to foods groups referenced in the dietary guidelines. I wanted to made it clearer that while the guidelines did not specifically reference the broad category of ultraprocessed foods, they did reference the componts were of concern. This was also based on feedback from Corby.

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