| Literature DB >> 34054164 |
Nicholaus P Brosowsky1, Wijnand Van Tilburg2, Abigail A Scholer3, James Boylan3, Paul Seli1, James Danckert3.
Abstract
Research recently showed that boredom proneness was associated with increased social distancing rule-breaking in a sample collected early in the COVID-19 pandemic. Here we explore data collected early in the pandemic to examine what factors might drive this relation. We focus on political affiliation. Given the functional account of boredom as a call to action, we hypothesized that this urge to act may drive individuals towards outlets replete with symbolic value (e.g., ideology, identity). In addition, given the politicization of some social distancing rules (e.g., mask wearing), we explored whether those who adhere to strong political ideologies-particularly conservative ideologies-would be more likely to rule-break. Moderation analyses indicated that boredom proneness and social (but not fiscal) conservatism were indeed predictive of rule-breaking. These results highlight the need for both clear messaging emphasizing the strength of communal identity and action (i.e., that "We are all in this together") and for interventions that emphasize shared collective values in contexts that appeal directly to social conservatives.Entities:
Keywords: Boredom proneness; COVID-19; Political ideology; Rule-breaking
Year: 2021 PMID: 34054164 PMCID: PMC8143989 DOI: 10.1007/s11031-021-09888-0
Source DB: PubMed Journal: Motiv Emot ISSN: 0146-7239
Rule-breaking questions and factor loadings
| Questions | Scale | Loadings |
|---|---|---|
| To what extent are you practicing social distancing? | 1–4 (not at all—very much) | − 0.60 |
| On average, how many hours of the day are you spending in your household (including your garage or yard but not going into the neighborhood or other public spaces)? | 1–24 | − 0.59 |
| How frequently have you gone out for in-person social visits? | 1–5 (not at all to constantly) | 0.77 |
| How frequently do you go out to shop in-person? | 1–5 (not at all to constantly) | 0.72 |
| How many times have you intentionally broken social distancing protocols? (best guess; not counting people who live with you in your household) | Free numerical entry | 0.86 |
| How many people have come within 6 feet of you over the last week (best guess, other than people who live with you in your household)? | Free numerical entry | 0.80 |
| In the past week, how many social gatherings have you had at your home (i.e., gatherings with people other than those with whom you live)? | Free numerical entry | 0.81 |
Summary of descriptive statistics and bivariate correlations
| Mean | SD | 1 | 2 | 3 | 4 | |
|---|---|---|---|---|---|---|
| 1. BPS | 2.87 | 1.43 | – | 0.53* | 0.16* | 0.09* |
| 2. Rule-breaking | 0.00 | 1.00 | – | 0.36* | 0.25* | |
| Political views | ||||||
| 3. Social | − 0.55 | 1.98 | 0.80* | |||
| 4. Economic | − 0.19 | 1.93 | – | |||
BPS boredom proneness scale
*p < 0.05
Fig. 1Bivariate correlations between political views (social views on the left and economic views to the right) and rule-breaking (top), and boredom proneness (bottom)
Fig. 2Political views plotted as a function of rule-breaking and boredom proneness (BP)
Hierarchical regression predicting rule-breaking
| Predictors | Estimates | 95% CI | ||
|---|---|---|---|---|
| Step 1 | ||||
| (Intercept) | 0.31 | 0.08 to 0.55 | 2.62 | 0.009* |
| Age | − 0.01 | − 0.01 to 0.00 | − 2.93 | 0.003* |
| Gender | − 0.15 | − 0.22 to − 0.09 | − 4.53 | < 0.001* |
| R2/R2 adjusted | 0.038/0.036 | |||
| Step 2 | ||||
| (Intercept) | − 1.04 | − 1.29 to − 0.79 | − 8.13 | < 0.001* |
| Age | 0 | − 0.01 to 0.00 | − 0.07 | 0.946 |
| Gender | − 0.09 | − 0.15 to − 0.04 | − 3.23 | 0.001* |
| BPS | 0.36 | 0.32 to 0.40 | 17.95 | < 0.001* |
| R2/R2 adjusted | 0.291/0.289 | |||
| Step 3 | ||||
| (Intercept) | − 0.74 | − 0.98 to − 0.50 | − 5.96 | < 0.001* |
| Age | 0.00 | − 0.01 to 0.00 | − 1.22 | 0.224 |
| Gender | − 0.07 | − 0.13 to − 0.02 | − 2.72 | 0.007* |
| BPS | 0.32 | 0.29 to 0.36 | 16.8 | < 0.001* |
| Political views: social | 0.16 | 0.12 to 0.21 | 7.30 | < 0.001* |
| Political views: economic | − 0.03 | − 0.07 to 0.02 | − 1.12 | 0.265 |
| R2/R2 adjusted | 0.37/0.366 | |||
| Step 4 | ||||
| (Intercept) | − 0.85 | − 1.08 to − 0.62 | − 7.37 | < 0.001* |
| Age | 0.00 | − 0.01 to 0.00 | − 1.36 | 0.174 |
| Gender | − 0.06 | − 0.11 to − 0.01 | − 2.18 | 0.03* |
| BPS | 0.35 | 0.31 to 0.38 | 19.16 | < 0.001* |
| Political views: social | − 0.21 | − 0.30 to − 0.11 | − 4.36 | < 0.001* |
| Political views: economic | 0.07 | − 0.03 to 0.16 | 1.40 | 0.162 |
| BPS x PV: social | 0.12 | 0.10 to 0.15 | 8.62 | < 0.001* |
| BPS x PV: economic | − 0.03 | − 0.06 to 0.00 | − 1.89 | 0.059 |
| R2/R2 adjusted | 0.462/0.458 | |||
BPS boredom proneness scale; PV political views
*p < 0.05