Dataset Information

Potions for Emotions: Do self-reported individual differences in negative-emotional drinking predict alcohol consumption in the laboratory following exposure to a negative experience?

ABSTRACT: Aims:Research suggests that self-reports on inferred motives for engaging in behavior may be biased by limited introspective access into such processes. Self-reports on observable behavior, on the other hand, may generate more accurate responses with which to predict behavior. The aim was to determine whether drinking alcohol in response to negative emotion (negative-emotional drinking; NED) is best predicted by self-reported individual differences in (a) motives to use alcohol to regulate negative emotion, or (b) the degree to which negative emotion impacts alcohol consumption (observable behavior). Methods:Thirty-nine beer drinkers completed the Drinking Motives Questionnaire-Revised (DMQ-R) which measures individual differences in drinking motives, including the motive to regulate negative emotion (coping motives). They also completed a new self-report measure of the degree to which negative emotion impacts their alcohol consumption. Participants were randomized into a negative emotion induction condition or control condition and completed a subsequent alcohol consumption task to serve as a behavioral measure of drinking in response to negative emotion. Results:Self-reports on the degree to which negative emotion impacts respondents' alcohol consumption strongly predicted alcohol consumption in the negative emotion induction condition (r = 0.72, p = <.001) and not in the control condition (r = 0.09, p = .696). Self-reported coping motives did not predict alcohol consumption in either condition. Conclusions:The amount of alcohol consumed in response to negative emotion is best predicted by self-reports on observable behavior, and not by self-reports on drinking motives.

SUBMITTER: Austin HRT

PROVIDER: S-EPMC7244908 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Potions for Emotions: Do self-reported individual differences in negative-emotional drinking predict alcohol consumption in the laboratory following exposure to a negative experience?

Austin Henry R T HRT Notebaert Lies L Wiers Reinout W RW Salemink Elske E MacLeod Colin C

Addictive behaviors reports 20191224

<h4>Aims</h4>Research suggests that self-reports on inferred motives for engaging in behavior may be biased by limited introspective access into such processes. Self-reports on observable behavior, on the other hand, may generate more accurate responses with which to predict behavior. The aim was to determine whether drinking alcohol in response to negative emotion (<i>negative-emotional drinking; NED</i>) is best predicted by self-reported individual differences in (<i>a</i>) motives to use alc ...[more]

PMID: 32467832

Similar Datasets

Project description:Emotion can reflect in the perception of food consumption. An increase in food intake during emotional and psychological conditions may have a negative impact on human health. The aim of this cross-sectional study was to determine the associations between food consumption, emotional eating behavior, and emotional conditions such as stress, depression, loneliness, boredom eating, maintaining vigilance and alertness, and emotional food consolation. We used a Motivations for Food Choices Questionnaire (Eating Motivations, EATMOT) to determine the emotional aspects of food consumption in 9052 respondents living in 12 European countries between October 2017 and March 2018. Ordinal linear regression was used to identify the associations between the emotional eating behavior and emotional conditions such as stress, depression, loneliness, emotional consolation, and reasons to improve physical and psychological conditions. The regression models confirmed the associations between food consumption, emotional conditions, and emotional eating behavior. Associations were found between the emotional eating behavior and stress (odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.07-1.60, p = 0.010), depressive mood (OR = 1.41, 95% CI = 1.40-1.43, p < 0.001), loneliness (OR = 1.60, 95% CI = 1.58-1.62, p < 0.001), boredom (OR = 1.37, 95% CI = 1.36-1.39, p < 0.001), and emotional consolation (OR = 1.55, 95% CI = 1.54-1.57, p < 0.001). Emotional eating was associated with an effort to improve physical and psychological conditions, such as controlling body weight (OR = 1.11, 95% CI = 1.10-1.12, p < 0.001), keeping awake and alert (OR = 1.19, 95% CI = 1.19-1.20, p < 0.001) and consumption to feel good (OR = 1.22, 95% CI = 1.21-1.22, p < 0.001). In conclusion, emotions might provoke emotional eating behavior. The appropriate way to handle stress, depression, or other emotional states is important in conditions of being emotionally overwhelmed. The public should be educated on how to handle different emotional states. The focus should be moved somehow from emotional eating and the consumption of unhealthy food to healthy lifestyle practices, including regular exercise and healthy eating habits. Thus, it is necessary to halt these negative health effects on human health through public health programs.

Project description:OBJECTIVES:To examine the emotions associated with drinking different types of alcohol, explore whether these emotions differ by sociodemographics and alcohol dependency and whether the emotions associated with different drink types influence people's choice of drinks in different settings. DESIGN:International cross-sectional opportunistic survey (Global Drug Survey) using an online anonymous questionnaire in 11 languages promoted through newspapers, magazines and social media from November 2015 to January 2016. STUDY POPULATION:Individuals aged 18-34 years who reported consumption of beer, spirits, red and white wine in the previous 12 months and were resident in countries with more than 200 respondents (n=21 countries; 29 836 respondents). MAIN OUTCOME MEASURES:Positive and negative emotions associated with consumption of different alcoholic beverages (energised, relaxed, sexy, confident, tired, aggressive, ill, restless and tearful) over the past 12 months in different settings. RESULTS:Alcoholic beverages vary in the types of emotions individuals report they elicit, with spirits more frequently eliciting emotional changes of all types. Overall 29.8% of respondents reported feeling aggressive when drinking spirits, compared with only 7.1% when drinking red wine (p<0.001). Women more frequently reported feeling all emotions when drinking alcohol, apart from feelings of aggression. Respondents' level of alcohol dependency was strongly associated with feeling all emotions, with the likelihood of aggression being significantly higher in possible dependent versus low risk drinkers (adjusted OR 6.4; 95% CI 5.79 to 7.09; p<0.001). The odds of feeling the majority of positive and negative emotions also remained highest among dependent drinkers irrespective of setting. CONCLUSION:Understanding emotions associated with alcohol consumption is imperative to addressing alcohol misuse, providing insight into what emotions influence drink choice between different groups in the population. The differences identified between sociodemographic groups and influences on drink choice within different settings will aid future public health practice to further comprehend individuals' drinking patterns and influence behaviour change.

Project description:There is sparse evidence regarding the effect of alcohol-advertising exposure on alcohol consumption among heavy drinkers. This study aimed to assess the immediate effects of alcohol-promoting and alcohol-warning video advertising on objective alcohol consumption in heavy-drinking young adults, and to examine underlying processes.Between-participants randomized controlled trial with three conditions.Two hundred and four young adults (aged 18-25) who self-reported as heavy drinkers were randomized to view one of three sets of 10 video advertisements that included either (1) alcohol-promoting, (2) alcohol-warning, or (3) non-alcohol advertisements. The primary outcome was the proportion of alcoholic beverages consumed in a sham taste test. Affective responses to advertisements, implicit alcohol approach bias, and alcohol attentional bias were assessed as secondary outcomes and possible mediators. Typical alcohol consumption, Internet use, and television use were measured as covariates.There was no main effect of condition on alcohol consumption. Participants exposed to alcohol-promoting advertisements showed increased positive affect and an increased approach/reduced avoidance bias towards alcohol relative to those exposed to non-alcohol advertisements. There was an indirect effect of exposure to alcohol-warning advertisements on reduced alcohol consumption via negative affect experienced in response to these advertisements.Restricting alcohol-promoting advertising could remove a potential influence on positive alcohol-related emotions and cognitions among heavy-drinking young adults. Producing alcohol-warning advertising that generates negative emotion may be an effective strategy to reduce alcohol consumption. Statement of contribution What is already known on this subject? Exposure to alcohol advertising has immediate and distal effects on alcohol consumption. There is some evidence that effects may be larger in heavy drinkers. Alcohol-warning advertising has been found to have mixed effects on alcohol-related cognitions. What does this study add? Among heavy-drinking young adults: Alcohol advertising does not appear to have an immediate impact on alcohol consumption. Alcohol advertising generates positive affect and increases alcohol approach bias. Alcohol-warning advertising that generates displeasure reduces alcohol consumption.

Dataset Information

Potions for Emotions: Do self-reported individual differences in negative-emotional drinking predict alcohol consumption in the laboratory following exposure to a negative experience?

Publications

Potions for Emotions: Do self-reported individual differences in negative-emotional drinking predict alcohol consumption in the laboratory following exposure to a negative experience?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets