The Effects of Alcohol Hangover on Mood and Performance Assessed at Home

Alford, Chris; Martínková, Z.; Tiplady, B.; Reece, Rebecca; Verster, Joris C.

doi:10.3390/jcm9041068

Cited by 17 publications

(20 citation statements)

References 57 publications

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“…Given previous links between mental health, mood, and alcohol ( Birnbaum et al, 1983 ; Parker et al, 1987 ; Howland et al, 2010 ; Alford et al, 2020 ), it was predicted that those who were drinking more during lockdown would have higher negative mood scores. This prediction was not borne out in the analysis.…”

Section: Discussionmentioning

confidence: 99%

“…Whilst there is evidence to suggest that alcohol-dependant individuals drink to alleviate negative emotional states ( Koob, 2011 ), the relationship between emotional experience and alcohol in social drinkers is less-clearly defined ( Sayette, 2017 ). Poor mental health has consistently been reported in abusive ( Pottenger et al, 1978 ; Grant and Harford, 1995 ; Schuckit, 2006 ) and social drinkers ( Birnbaum et al, 1983 ; Parker et al, 1987 ; Jones et al, 2007 ), and drinking alcohol has been associated with negative mood ( Howland et al, 2010 ; Alford et al, 2020 ). In our study we focused specifically on changes to drinking behavior and examined links between these changes, socio-demographic and COVID-induced change circumstances, and negative mood.…”

Section: Introductionmentioning

confidence: 99%

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Changes in Diet, Sleep, and Physical Activity Are Associated With Differences in Negative Mood During COVID-19 Lockdown

2020

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The United Kingdom and Scottish governments instigated a societal lockdown in response to the COVID-19 pandemic. Subsequently, many experienced substantial lifestyle changes alongside the stresses of potentially catching the virus or experiencing bereavement. Stressful situations and poorer health behaviors (e.g., higher alcohol consumption, unhealthy diet, poorer sleep quality, physical inactivity) are frequently linked to poor mental health. Our objective was to examine changes in health behaviors and their relationship with negative mood during COVID-19 lockdown. We also considered associations between health behaviors and socio-demographic differences and COVID-19-induced changes. 399 participants completed a questionnaire asking about their personal situation and health behaviors during lockdown as well as a negative mood scale. The significance threshold for all analyses was α = 0.05. Poorer diet was linked to more-negative mood, and to changes to working status. Poorer sleep quality was linked with more-negative mood, and with ‘shielding’ from the virus. Being less physically active was related to more-negative mood and student status, whereas being more physically active was linked to having or suspecting COVID-19 infection within the household. Increased alcohol consumption was linked to living with children, but not to negative mood. Changes to diet, sleep quality, and physical activity related to differences in negative mood during COVID-19 lockdown. This study adds to reports on poor mental health during lockdown and identifies lifestyle restrictions and changes to health behaviors which may, to some extent, be responsible for higher negative mood. Our data suggests that it is advisable to maintain or improve health behaviors during pandemic-associated restrictions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Changes in Diet, Sleep, and Physical Activity Are Associated With Differences in Negative Mood During COVID-19 Lockdown

2020

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“…Hence, there are presumably other reasons than mere degree of intoxication that determine whether participants discontinue study participation or not. A different approach has been the use of mobile technology, including screen-based tests, to enable participants to be assessed within the privacy and safety of their own homes, without the need to travel to the test center when hungover, avoiding dropouts [32].…”

Section: Implications For Hangover Researchmentioning

confidence: 99%

Advantages and Limitations of Naturalistic Study Designs and Their Implementation in Alcohol Hangover Research

Verster

Loo

Adams

et al. 2019

JCM

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In alcohol hangover research, both naturalistic designs and randomized controlled trials (RCTs) are successfully employed to study the causes, consequences, and treatments of hangovers. Although increasingly applied in both social sciences and medical research, the suitability of naturalistic study designs remains a topic of debate. In both types of study design, screening participants and conducting assessments on-site (e.g., psychometric tests, questionnaires, and biomarker assessments) are usually equally rigorous and follow the same standard operating procedures. However, they differ in the levels of monitoring and restrictions imposed on behaviors of participants before the assessments are conducted (e.g., drinking behaviors resulting in the next day hangover). These behaviors are highly controlled in RCTs and uncontrolled in naturalistic studies. As a result, the largest difference between naturalistic studies and RCTs is their ecological validity, which is usually significantly lower for RCTs and (related to that) the degree of standardization of experimental intervention, which is usually significantly higher for RCTs. In this paper, we specifically discuss the application of naturalistic study designs and RCTs in hangover research. It is debated whether it is necessary to control certain behaviors that precede the hangover state when the aim of a study is to examine the effects of the hangover state itself. If the preceding factors and behaviors are not in the focus of the research question, a naturalistic study design should be preferred whenever one aims to better mimic or understand real-life situations in experimental/intervention studies. Furthermore, to improve the level of control in naturalistic studies, mobile technology can be applied to provide more continuous and objective real-time data, without investigators interfering with participant behaviors or the lab environment impacting on the subjective state. However, for other studies, it may be essential that certain behaviors are strictly controlled. It is, for example, vital that both test days are comparable in terms of consumed alcohol and achieved hangover severity levels when comparing the efficacy and safety of a hangover treatment with a placebo treatment day. This is best accomplished with the help of a highly controlled RCT design.

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“…Additionally, the mechanisms by which anger can influence alcohol use have not been fully elucidated. Following heavy alcohol use, negative mood states, including irritability, are common (Alford, Martinkova, Tiplady, Reece, and Verster, 2020). It has been suggested that, even among individuals without alcohol use disorder, individuals learn to recognize early interoceptive cues of oncoming negative affect as alcohol is eliminated from the body, often preconsciously.…”

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confidence: 99%

The Effects of Anger on Alcohol Demand and Subjective Alcohol Craving

Ellis

Grekin

2021

Alcoholism Clin & Exp Res

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Background Anger and anger‐related traits have been related to alcohol use in both cross‐sectional and prospective studies. However, only a small number of studies have experimentally manipulated anger to examine whether the manipulation of anger influences alcohol craving or the relative reinforcing value of alcohol. Methods Participants (N = 231) recruited through Amazon’s MTurk were randomly assigned to a provocation condition or a neutral condition prior to completing both the Alcohol Purchase Task and a self‐report measure of alcohol craving. Linear regression analyses were conducted to examine the effects of the anger induction, trait hostility, frequency of alcohol use in the past month, and relevant demographic characteristics (gender, age, income) on alcohol craving and indices of alcohol demand. Results Participants assigned to the provocation condition had greater PMax (B = 0.17, p = 0.012) and breakpoint (B = 0.18, p = 0.006) values, less elastic demand (B = −0.15, p = 0.020), and lower drinking intensity (B = −0.14, p = 0.025) than participants assigned to the neutral condition. Trait hostility was positively related to OMax (B = 0.22, p = 0.001), intensity of demand (B = 0.27, p < 0.001), and subjective alcohol craving posttask (B = 0.32, p < 0.001), but did not moderate the relationship between condition and outcomes. Conclusions Although most persistence indices of alcohol demand were sensitive to the anger induction, we did not observe higher scores on amplitude indices or subjective craving in the provocation condition relative to the neutral condition. Further investigation into the role which anger plays in alcohol use is warranted.

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The Effects of Alcohol Hangover on Mood and Performance Assessed at Home

Cited by 17 publications

References 57 publications

Changes in Diet, Sleep, and Physical Activity Are Associated With Differences in Negative Mood During COVID-19 Lockdown

Changes in Diet, Sleep, and Physical Activity Are Associated With Differences in Negative Mood During COVID-19 Lockdown

Advantages and Limitations of Naturalistic Study Designs and Their Implementation in Alcohol Hangover Research

The Effects of Anger on Alcohol Demand and Subjective Alcohol Craving

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