Dataset Information

The relationship between explicit and implicit attitudes towards drunk driving.

ABSTRACT: Despite downward trends, driving under the influence (DUI) remains one of the most salient traffic safety problems. It is crucial to identify the processes behind a problem behaviour to target the most effective measures to address it. One way of exploring precursors of behaviour is measuring attitudes. All persons hold two types of attitudes, explicit and implicit. Although only one of these (explicit) lays the groundwork for current understandings of DUI, it is imperative to explore both types of attitudes. We explore the relationship between explicit and implicit attitudes towards DUI for the first time in the field. Explicit attitudes (what we say we mean) are measured by a questionnaire. Implicit attitudes (which are introspectively unidentified or inaccurately identified traces of past experience) are measured by the Go/No-go Association Task (GNAT) in a sample of young male drivers (n = 101). The results show a relationship between the two types of attitudes, but not completely in the expected way. Depending whether the amount of alcohol is over or under the legal limit, the relationship between explicit and implicit attitudes varies. We discuss the findings and provide directions for future investigations.

SUBMITTER: Martinussen LM

PROVIDER: S-EPMC6197666 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The relationship between explicit and implicit attitudes towards drunk driving.

Martinussen Laila M LM Petranca Laura L Sømhovd Mikael J MJ

PloS one 20181022 10

Despite downward trends, driving under the influence (DUI) remains one of the most salient traffic safety problems. It is crucial to identify the processes behind a problem behaviour to target the most effective measures to address it. One way of exploring precursors of behaviour is measuring attitudes. All persons hold two types of attitudes, explicit and implicit. Although only one of these (explicit) lays the groundwork for current understandings of DUI, it is imperative to explore both types ...[more]

PMID: 30346978

Similar Datasets

Project description:OBJECTIVE:This study aims to explore the contribution of implicit attitudes and associations towards conventional disease-modifying antirheumatic drugs (cDMARDs), alongside explicit measures, on medication-taking behaviour and clinical outcomes in adult patients with rheumatoid arthritis (RA). METHODS:In this observational study, implicit attitudes (positive-negative) and health-related associations (health-sickness) were measured with Single Category Implicit Association Tests, whereas explicit outcomes were measured with a bipolar evaluative adjective scale and the Beliefs about Medicines Questionnaire Specific. The primary outcome of this study was medication-taking behaviour subjectively measured by self-report (i.e. validated Compliance Questionnaire on Rheumatology) and objectively measured with electronic drug monitors over a 3 month period. Spearman rank correlations were used to describe correlations between implicit and explicit outcomes. Nested linear regression models were used to assess the additional value of implicit measures over explicit measures and patient-, clinical-, and treatment-related characteristics. RESULTS:Of the 1659 initially-invited patients, 254 patients with RA agreed to participate in this study. Implicit attitudes correlated significantly with necessity-concerns differential (NCD) scores (? = 0.13, P = 0.05) and disease activity scores (? = -0.17, P = 0.04), whereas implicit health-related associations correlated significantly with mean scores for explicitly reported health-related associations (? = 0.18, P = 0.004). Significant differences in age, number of DMARDs, biologic DMARD use, NCD-scores, and self-reported correct dosing were found between the four attitudinal profiles. Nested linear regression models revealed no additional value of implicit measures in explaining self-reported medication-taking behaviour and clinical outcomes, over and above all other variables. CONCLUSION:Implicit attitudes and associations had no additional value in explaining medication-taking behaviour and clinical outcomes over and above often used explicitly measured characteristics, attitudes and outcomes in the studied population. Only age and NCD scores contributed significantly when the dependent variable was correct dosing measured with self-report.

Project description:BACKGROUND:Attitudes toward driving after drinking are strongly predictive of drinking and driving behavior. This study tested working memory capacity (WMC) as a moderator of the association between attitudes and drinking and driving behavior. Consistent with dual process models of cognition, we hypothesized that the association between perceived danger and drinking and driving would be stronger for individuals with higher WMC. METHODS:Participants (N = 161) enrolled in larger alcohol administration study were randomly assigned to an alcohol (n = 57), placebol (n = 52), or control (n = 52, not included) beverage condition. Past-year frequency of driving after drinking and WMC were assessed at baseline. Attitudes were assessed by asking participants to rate the perceived danger of driving at their current level of intoxication twice on the ascending limb (AL1, AL2), at peak breath alcohol concentration (BrAC), and twice on the descending limb (DL1, DL2). RESULTS:Analyses across the BrAC curve indicated that the hypothesized interaction was observed for the alcohol but not placebo condition. Analyses for each assessment point indicated that the interaction was significant for the ascending limb and peak BrAC. In the alcohol condition, for those higher in WMC, lower perceived dangerousness was strongly associated with increased driving after drinking (AL1: incident rate ratios [IRR] = 5.87, Wald's ?2 = 12.39, p = 0.006, 95% CI [2.19, 15.75]; AL2: IRR = 8.17, Wald's ?2 = 11.39, p = 0.001, 95% CI [2.41, 27.66]; Peak: IRR = 5.11, Wald's ?2 = 9.84, p = 0.002, 95% CI [1.84, 14.16]). Associations were not significant at low WMC. CONCLUSIONS:Results suggest that individuals higher in WMC are more likely to act consistently with their explicit attitudes toward drinking and driving. Findings may have implications for existing drinking and driving interventions and suggest the potential for novel interventions targeting implicit associations or WMC.

Project description:Smoking is a global health risk for premature death and disease. Recently, addictive behaviors, like smoking, were considered to be guided by explicit and implicit processes. The existence of a dissociation between the two attitudes in nonsmokers and the causes of the differences in implicit attitudes toward smoking have not been fully investigated. We investigated the explicit and implicit attitudes toward smoking via a self-reported scale and the single category implicit association test (SC-IAT), respectively, among undergraduate and graduate health sciences students. In addition, we applied the drift-diffusion model (DDM) on the SC-IAT and examined the behavioral characteristics that caused differences in implicit attitude toward smoking between smokers and nonsmokers. The results showed the existence of a dissociation between explicit and implicit attitudes toward smoking among nonsmokers. In addition, nonsmokers had a higher decision threshold than smokers and a higher drift rate in the condition where negative words were associated with smoking. Nonsmokers engaged in SC-IAT with more cautious attitudes and responded more easily in a negative condition since it was consistent with their true attitudes. Conversely, smokers did not show a significant difference in the drift rate between the conditions. These results suggested that the differences in an implicit attitude between smokers and nonsmokers were caused by differences in evidence accumulation speed between the positive and negative conditions. The existence of dissociation between implicit and explicit attitudes toward smoking may indicate the difficulty of measuring true attitude in nonsmokers in a questionnaire survey. Additionally, the DDM results explained the difference of implicit attitude between smokers and nonsmokers; it may provide information on the mechanisms of addictive behaviors and a basis for therapy. However, whether these results are affected by cultural differences requires further investigation.

Dataset Information

The relationship between explicit and implicit attitudes towards drunk driving.

Publications

The relationship between explicit and implicit attitudes towards drunk driving.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets