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      Effect of Climate Change Impact Menu Labels on Fast Food Ordering Choices Among US Adults : A Randomized Clinical Trial

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      , PhD, MPP 1 , 2 , , , ScD 3 , , ScD, MPH 3 , 4 , , PhD 5 , , ScD, MPH 6
      JAMA Network Open
      American Medical Association

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          Abstract

          This randomized clinical trial investigates the effect of positive and negative climate impact menu labels on the environmental sustainability of fast food ordering choices among US adults.

          Key Points

          Question

          What effects do positive and negative climate impact menu labels have on the environmental sustainability of adult restaurant food choices in a nationally representative sample?

          Findings

          In this randomized clinical trial with 5049 US adults, 23% more participants in the high–climate impact label condition ordered a sustainable (ie, non–red meat) item and 10% more participants in the low–climate impact label condition ordered a sustainable item compared with the control group.

          Meaning

          These findings suggest that climate impact menu labels may be an effective strategy to promote more sustainable restaurant food choices and that labels highlighting high–climate impact items may be most effective.

          Abstract

          Importance

          There is increasing interest in strategies to encourage more environmentally sustainable food choices in US restaurants through the use of menu labels that indicate an item’s potential impact on the world’s climate. Data are lacking on the ideal design of such labels to effectively encourage sustainable choices.

          Objective

          To test the effects of positive and negative climate impact menu labels on the environmental sustainability and healthfulness of food choices compared with a control label.

          Design, Setting, and Participants

          This randomized clinical trial used an online national US survey conducted March 30 to April 13, 2022, among a nationally representative sample of adults (aged ≥18 years) from the AmeriSpeak panel. Data were analyzed in June to October 2022.

          Interventions

          Participants were shown a fast food menu and prompted to select 1 item they would like to order for dinner. Participants were randomized to view menus with 1 of 3 label conditions: a quick response code label on all items (control group); green low–climate impact label on chicken, fish, or vegetarian items (positive framing); or red high–climate impact label on red meat items (negative framing).

          Main Outcomes and Measures

          The main outcome was an indicator of selecting a sustainable item (ie, one without red meat). Secondary outcomes included participant health perceptions of the selected item and the Nutrition Profile Index (NPI) score of healthfulness.

          Results

          Among 5049 participants (2444 female [51.6%]; 789 aged 18-29 years [20.3%], 1532 aged 30-44 years [25.9%], 1089 aged 45-59 years [23.5%], and 1639 aged ≥60 years [30.4%]; 142 Asian [5.3%], 611 Black [12.1%], and 3197 White [63.3%]; 866 Hispanic [17.2%]), high– and low–climate impact labels were effective at encouraging sustainable selections from the menu. Compared with participants in the control group, 23.5% more participants (95% CI, 13.7%-34.0%; P < .001) selected a sustainable menu item when menus displayed high–climate impact labels and 9.9% more participants (95% CI, 1.0%-19.8%; P = .03) selected a sustainable menu item when menus displayed low–climate impact labels. Across experimental conditions, participants who selected a sustainable item rated their order as healthier than those who selected an unsustainable item, according to mean perceived healthfulness score (control label: 3.4 points; 95% CI, 3.2-3.5 points vs 2.5 points; 95% CI, 2.4-2.6 points; P < .001; low-impact label: 3.7 points; 95% CI, 3.5-3.8 points vs 2.6 points; 95% CI, 2.5-2.7 points; P < .001; high-impact label: 3.5 points; 95% CI, 3.3-3.6 points vs 2.7 points; 95% CI, 2.6-2.9 points; P < .001). Participants in the high–climate impact label group selected healthier items according to mean (SE) NPI score (54.3 [0.2] points) compared with those in the low–climate impact (53.2 [0.2] points; P < .001) and control (52.9 [0.3] points; P < .001) label groups.

          Conclusions and Relevance

          This randomized clinical trial’s findings suggest that climate impact menu labels, especially negatively framed labels highlighting high–climate impact items (ie, red meat), were an effective strategy to reduce red meat selections and encourage more sustainable choices.

          Trial Registration

          ClinicalTrials.gov Identifier: NCT05482204

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          Most cited references45

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          Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems

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            Reducing food’s environmental impacts through producers and consumers

            Food's environmental impacts are created by millions of diverse producers. To identify solutions that are effective under this heterogeneity, we consolidated data covering five environmental indicators; 38,700 farms; and 1600 processors, packaging types, and retailers. Impact can vary 50-fold among producers of the same product, creating substantial mitigation opportunities. However, mitigation is complicated by trade-offs, multiple ways for producers to achieve low impacts, and interactions throughout the supply chain. Producers have limits on how far they can reduce impacts. Most strikingly, impacts of the lowest-impact animal products typically exceed those of vegetable substitutes, providing new evidence for the importance of dietary change. Cumulatively, our findings support an approach where producers monitor their own impacts, flexibly meet environmental targets by choosing from multiple practices, and communicate their impacts to consumers.
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              Association Between Dietary Factors and Mortality From Heart Disease, Stroke, and Type 2 Diabetes in the United States.

              In the United States, national associations of individual dietary factors with specific cardiometabolic diseases are not well established.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                27 December 2022
                December 2022
                27 December 2022
                : 5
                : 12
                : e2248320
                Affiliations
                [1 ]Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
                [2 ]Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
                [3 ]Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
                [4 ]Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor
                [5 ]Department of Psychology, University of Michigan, Ann Arbor
                [6 ]Department of Human Ecology, University of California, Davis
                Author notes
                Article Information
                Accepted for Publication: November 7, 2022.
                Published: December 27, 2022. doi:10.1001/jamanetworkopen.2022.48320
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Wolfson JA et al. JAMA Network Open.
                Corresponding Author: Julia A. Wolfson, PhD, MPP, Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, E2612, Baltimore, MD 21205 ( jwolfso7@ 123456jhu.edu ).
                Author Contributions: Dr Wolfson had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: All authors.
                Acquisition, analysis, or interpretation of data: Wolfson, Musicus, Gearhardt, Falbe.
                Drafting of the manuscript: Wolfson.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Wolfson, Leung, Falbe.
                Obtained funding: Wolfson, Gearhardt, Falbe.
                Administrative, technical, or material support: Wolfson.
                Conflict of Interest Disclosures: None reported.
                Funding/Support: Data collection was supported by Time-sharing Experiments for the Social Sciences, principal investigators Jeremy Freese, PhD (Stanford University), and James Druckman, PhD (Northwestern University), which was supported by grant 0818839 from the National Science Foundation. Dr Wolfson was supported by grant K01DK119166 from the National Institutes of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health (NIH). Dr Musicus was supported by grant 2T32CA057711 from the NIH. Dr Falbe was supported by grant 1K01DK113068 from the National Institutes of Diabetes and Digestive and Kidney Diseases of the NIH.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Data Sharing Statement: See Supplement 3.
                Article
                zoi221367
                10.1001/jamanetworkopen.2022.48320
                9857560
                36574248
                0cfe2e87-ac73-4f5c-ba61-ea2bb24bbcb9
                Copyright 2022 Wolfson JA et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 31 August 2022
                : 7 November 2022
                Categories
                Research
                Original Investigation
                Online Only
                Public Health

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