Warning labels and interpretive nutrition labels: Impact on substitution between sugar and artificially sweetened beverages, juice and water in a real-world selection task.

来自 PUBMED

作者:

Miller CEttridge KPettigrew SWittert GWakefield MCoveney JRoder DMartin JBrownbill ADono J

展开

摘要:

Effective strategies to reduce free sugar intake are needed. This study examined exposure to a warning label, independently and in conjunction with a Health Star Rating (HSR) label, on the selection of commercially available cold beverages with real decision-making stakes. Participants (N = 511, 47.9% female, mean = 21.7 (SD = 6.1) years) accessed an online convenience store app via an on-campus laptop to select one of 10 beverages (5 sugar-sweetened beverages [SSBs], 1100% fruit juice, 2 artificially sweetened beverages [ASBs] and 2 waters). The task was repeated with the addition of a warning label on high-sugar drinks in Round 2, and the addition of an HSR label on all drinks in Round 3. Participants were informed that they would receive a complementary drink (valued at <$5AUD) based on their selections following the completion of a brief questionnaire. Baseline results indicated that SSBs and waters were the most and least popular choices, respectively. For both males and females, there was a significant decrease in SSB selection (p < 0.001) and significant increase in ASB and water selection (p < 0.001) following the addition of warning labels to high-sugar drinks. The decreased selection of SSBs and increased selection of waters was maintained in Round 3 when HSR labels were added to all drinks. 100% fruit juice selection decreased with the addition of a warning label for females only (p < 0.01), but increased following the addition of a 4-star HSR label, for both males (p < 0.05) and females (p < 0.001). Warning labels reduced young adults' selection of SSBs and promoted substitution to water. The HSR reinforced this effect for the least healthy drinks. Increased water selection may be further enhanced by ensuring that warning label thresholds and HSR algorithms align to present consistent messaging.

收起

展开

DOI:

10.1016/j.appet.2021.105818

被引量:

4

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(199)

参考文献(0)

引证文献(4)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读