| Literature DB >> 35407008 |
Shiva Pauer1, Bastiaan T Rutjens1, Matthew B Ruby2, Grischa Perino3, Frenk van Harreveld1,4.
Abstract
An increasing number of people are concerned about eating meat, despite enjoying doing so. In the present research, we examined whether the desire to resolve this ambivalence about eating meat leads to a reduction in meat consumption. Our model of ambivalence-motivated meat reduction proposes that the pervasive nature of evaluative conflict motivates meat avoidance, and we highlight two potential mechanisms involved: the anticipation of ambivalence reduction through behavioral change, and information seeking for contents that facilitate meat reduction. Study 1 drew on a cross-sectional 6-day food diary with 7485 observations in a quota sample to investigate why meat-related ambivalence arises and to demonstrate the correlation of ambivalence with meat reduction. Two experiments investigated the causal direction of this association by showing that ambivalence-induced discomfort motivated participants to eat less meat when they introspected on their preexisting incongruent evaluations (Study 2 and 3), which was mediated by the aforementioned mechanisms involved (Study 3; preregistered). The studies utilized diverse samples from Germany, England, and the US (total N = 1192) and support the proposed model by indicating that behavioral change is an important coping strategy to resolve ambivalent discomfort in the context of meat consumption. Our model of ambivalence-motivated meat reduction contributes to theorizing on the consequences of ambivalence and the psychology of (not) eating meat.Entities:
Keywords: ambivalence; behavioral change; food choice; information-seeking; meat
Year: 2022 PMID: 35407008 PMCID: PMC9040712 DOI: 10.3390/foods11070921
Source DB: PubMed Journal: Foods ISSN: 2304-8158
Figure 1The model of ambivalence-motivated meat reduction.
Characteristics of the initial and final samples in Study 1.
| Variable | Final Sample | Initial Sample | |
|---|---|---|---|
| 52.49 (13.62) | 51.09 (15.14) | ||
| Education † | 49% | 48% | |
| Female | 48% | 50% | |
| Region | North | 5% | 6% |
| East | 13% | 13% | |
| West | 51% | 51% | |
| South | 30% | 32% | |
Note. † Education (dummy-coded) refers to the percentage of people with at least a qualification for university entrance.
Predictive correlates of felt ambivalence about meat consumption as indicated by Pearson correlation tests, except for point-biserial correlation tests with gender and part-time employment.
| Variable |
|
|
|---|---|---|
| Gender | 0.16 | <0.001 |
| Social context | 0.23 | <0.001 |
| Student | 0.14 | 0.001 |
| Age | −0.13 | 0.003 |
| Part-time employment | 0.10 | 0.013 |
| Potential ambivalence | 0.41 | <0.001 |
Note. N = 555. For gender (1—female, 0—male) and age, N = 553. Part-time employment was coded as 1—part-time employment and 0—other.
Figure 2Gender and potential ambivalence interact to predict felt ambivalence about meat consumption.
Figure 3Johnson–Neyman plot of the association of gender with felt ambivalence at values of potential ambivalence about meat consumption. The dotted vertical line indicates the border of the significance region at a value of potential ambivalence of 1.55, with 63.65% of participants scoring below that value.
Figure 4Scatterplot of the association of felt ambivalence with meat consumption.
Multiple regression results for predicting meat consumption frequency from felt ambivalence (model 1) and from felt ambivalence and behavioral control (model 2).
| Variable | Model 1 | Model 2 | ||||
|---|---|---|---|---|---|---|
|
|
| β |
|
| β | |
| Constant | 0.59 ** | 0.02 | 0.62 ** | 0.03 | ||
| Felt ambivalence | −0.04 ** | 0.01 | −0.18 ** | −0.03 ** | 0.01 | −0.16 ** |
| Behavioral control | −0.03 * | 0.01 | −0.10 * | |||
|
| 0.03 ** | 0.04 ** | ||||
| Δ | 0.03 ** | 0.01 * | ||||
* p < 0.05. ** p < 0.001.
Figure 5Mediation model of the experimental effect of meat ambivalence salience on intention to eat less meat through felt ambivalence in Study 2. Effect sizes are displayed as standardized direct effects (i.e., isolated from the other effects).
Figure 6Serial mediation model of ambivalence-motivated intention to eat less meat in Study 3 with an indirect effect of ambivalence salience on intention through felt ambivalence, anticipated ambivalence resolution, and information seeking. Regression coefficients are displayed as standardized direct effects (i.e., isolated from the other effects). R2 can be interpreted as the percentage of variance explained.