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      Public Acceptability in the UK and USA of Nudging to Reduce Obesity: The Example of Reducing Sugar-Sweetened Beverages Consumption

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          Abstract

          Background

          “Nudging”—modifying environments to change people’s behavior, often without their conscious awareness—can improve health, but public acceptability of nudging is largely unknown.

          Methods

          We compared acceptability, in the United Kingdom (UK) and the United States of America (USA), of government interventions to reduce consumption of sugar-sweetened beverages. Three nudge interventions were assessed: i. reducing portion Size, ii. changing the Shape of the drink containers, iii. changing their shelf Location; alongside two traditional interventions: iv. Taxation and v. Education. We also tested the hypothesis that describing interventions as working through non-conscious processes decreases their acceptability. Predictors of acceptability, including perceived intervention effectiveness, were also assessed. Participants (n = 1093 UK and n = 1082 USA) received a description of each of the five interventions which varied, by randomisation, in how the interventions were said to affect behaviour: (a) via conscious processes; (b) via non-conscious processes; or (c) no process stated. Acceptability was derived from responses to three items.

          Results

          Levels of acceptability for four of the five interventions did not differ significantly between the UK and US samples; reducing portion size was less accepted by the US sample. Within each country, Education was rated as most acceptable and Taxation the least, with the three nudge-type interventions rated between these. There was no evidence to support the study hypothesis: i.e. stating that interventions worked via non-conscious processes did not decrease their acceptability in either the UK or US samples. Perceived effectiveness was the strongest predictor of acceptability for all interventions across the two samples.

          Conclusion

          In conclusion, nudge interventions to reduce consumption of sugar-sweetened beverages seem similarly acceptable in the UK and USA, being more acceptable than taxation, but less acceptable than education. Contrary to prediction, we found no evidence that highlighting the non-conscious processes by which nudge interventions may work decreases their acceptability. However, highlighting the effectiveness of all interventions has the potential to increase their acceptability.

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          Most cited references34

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          Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

          Amazon's Mechanical Turk (MTurk) is a relatively new website that contains the major elements required to conduct research: an integrated participant compensation system; a large participant pool; and a streamlined process of study design, participant recruitment, and data collection. In this article, we describe and evaluate the potential contributions of MTurk to psychology and other social sciences. Findings indicate that (a) MTurk participants are slightly more demographically diverse than are standard Internet samples and are significantly more diverse than typical American college samples; (b) participation is affected by compensation rate and task length, but participants can still be recruited rapidly and inexpensively; (c) realistic compensation rates do not affect data quality; and (d) the data obtained are at least as reliable as those obtained via traditional methods. Overall, MTurk can be used to obtain high-quality data inexpensively and rapidly.
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            Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk

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              Bootstrap methods and their application

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                8 June 2016
                2016
                : 11
                : 6
                : e0155995
                Affiliations
                [001]Behaviour and Health Research Unit, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
                Indiana University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: DCP GJH TMM. Performed the experiments: DCP GJH TMM. Analyzed the data: DCP DLC YLN. Wrote the paper: DCP GJH DLC YLN TMM.

                Article
                PONE-D-15-30078
                10.1371/journal.pone.0155995
                4898693
                27276222
                b8c859be-5014-42c1-bbb1-4b642e399801
                © 2016 Petrescu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 July 2015
                : 6 May 2016
                Page count
                Figures: 4, Tables: 7, Pages: 18
                Funding
                Funded by: UK Department of Health
                Award ID: PR-UN-0409-10109
                Award Recipient :
                The study was funded by the UK Department of Health Policy Research Programme (Policy Research Unit in Behaviour and Health [PR-UN-0409-10109]). The Department of Health had no role in the study design, data collection, analysis, or interpretation. The research was conducted independently of the funders, and the views expressed in this paper are those of the authors and not necessarily those of the Department of Health in England. The final version of the report and ultimate decision to submit for publication was determined by the authors.
                Categories
                Research Article
                Social Sciences
                Economics
                Finance
                Taxation
                Biology and Life Sciences
                Nutrition
                Diet
                Beverages
                Medicine and Health Sciences
                Nutrition
                Diet
                Beverages
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Biology and Life Sciences
                Behavior
                People and Places
                Demography
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Neuroscience
                Consciousness
                Affective Consciousness
                Biology and Life Sciences
                Neuroscience
                Cognitive Neuroscience
                Consciousness
                Affective Consciousness
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognition
                Medicine and Health Sciences
                Health Care
                Health Education and Awareness
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

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