Department of Human Sciences, College of Health Sciences, Sam Houston State University, Huntsville, Texas.
Department of Marketing, E.J. Ourso College of Business, Louisiana State University, Baton Rouge, Louisiana.
J Acad Nutr Diet. 2023 Jun;123(6):876-888.e1. doi: 10.1016/j.jand.2023.01.011. Epub 2023 Feb 2.
Behavioral economics strategies implemented within social marketing campaigns improve eating behavior.
To identify which behavioral economics strategies in social marketing messages particularly messengers, norms, and commitments will promote low-income Louisiana residents to add more vegetables to meals.
Full profile traditional conjoint analysis survey with single concept ratings.
Purposive sample of low-resource Louisiana residents (N = 213) SETTING: Online survey.
Participants rated randomized concepts that featured a messenger and a message.
Ratings (one to nine) of likelihood to add vegetables to meals.
A model of ratings was generated using mixed-effects multiple regression, which accounted for repeated measurement of participants. Interactions of variables and covariates were modeled.
There was a significant main effect of the messenger variable (P = 0.02) and main effect of the message variable (P = 0.008). Pairwise comparisons demonstrated differences between friend (μ (predicted mean) = 6.80) and mother (μ = 7.06; P = 0.03) as well as friend and normal-weight doctor (μ = 7.03; P = 0.04). Pairwise comparisons demonstrated differences between descriptive norm (μ = 6.79) and grocery list precommitment (μ = 7.02; P = 0.05) along with descriptive norm and injunctive norm (μ = 6.98; P = 0.04). Covariate models demonstrated main effects of race (P = 0.006) and sex (P = 0.0001). There was significant variation in the message variable and frequency of vegetable intake interaction (P = 0.01).
Both message and messenger variables predicted the likelihood to add vegetables to meals. Race and sex influenced ratings to add vegetables. As reported vegetable consumption increased, behavioral economics messages improved the likelihood to add vegetables to meals. Behavioral economic approaches are well suited to social marketing messages that aim to promote healthy eating behavior in low-income LA residents.
行为经济学策略在社会营销活动中的实施可以改善饮食行为。
确定社会营销信息中的哪些行为经济学策略(特别是信息传递者、规范和承诺)将促进路易斯安那州低收入居民在餐食中增加更多蔬菜。
具有单一概念评分的完整配置文件传统联合分析调查。
资源有限的路易斯安那州居民的目的抽样(N=213)
在线调查。
参与者对随机化的概念进行评分,这些概念具有信息传递者和信息。
将蔬菜添加到餐食中的可能性评分(1 到 9)。
使用混合效应多元回归生成评分模型,该模型考虑了参与者的重复测量。对变量和协变量的交互作用进行了建模。
信息传递者变量(P=0.02)和信息变量(P=0.008)有显著的主效应。两两比较表明朋友(μ(预测均值)=6.80)和母亲(μ=7.06;P=0.03)以及朋友和正常体重医生(μ=7.03;P=0.04)之间存在差异。两两比较表明描述性规范(μ=6.79)和购物清单预承诺(μ=7.02;P=0.05)以及描述性规范和规范性规范(μ=6.98;P=0.04)之间存在差异。协变量模型表明种族(P=0.006)和性别(P=0.0001)有主要影响。消息变量和蔬菜摄入量频率的交互作用有显著差异(P=0.01)。
信息和信息传递者变量都预测了将蔬菜添加到餐食中的可能性。种族和性别影响添加蔬菜的评分。随着报告的蔬菜摄入量的增加,行为经济学信息提高了将蔬菜添加到餐食中的可能性。行为经济学方法非常适合旨在促进路易斯安那州低收入居民健康饮食行为的社会营销信息。