Drinking Motives Mediate Cultural Differences but Not Gender Differences in Adolescent Alcohol Use

Kuntsche, Emmanuel; Wicki, Matthias; Windlin, Béat; Roberts, Chris; Gabhainn, Saoirse Nic; Sluijs, Winfried van der; Aasvee, Katrin; Matos, Margarida Gaspar de; Dankulincová, Zuzana; Hublet, Anne; Tynjälä, Jorma; Välimaa, Raili; Bendtsen, Pernille; Vieno, Alessio; Mazur, James E.; Farkas, Judith; Demetrovics, Zsolt

doi:10.1016/j.jadohealth.2014.10.267

Cited by 81 publications

(72 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [15], using 16 population surveys across 10 countries, the authors found that males drank more frequently and consumed more alcohol when compared to females. Similar findings were reported in another large-scale study conducted amongst an adolescent population in Europe [54]. To inspect the potential gender differences on alcohol consumption, in this section we present results of reported alcohol consumption differentiated by gender as observed in our study.…”

Section: Role Of Gender On Drinking Behaviorsupporting

confidence: 86%

DrinkSense: Characterizing Youth Drinking Behavior Using Smartphones

Santani

Labhart

et al. 2018

IEEE Trans. on Mobile Comput.

Self Cite

122

View full text Add to dashboard Cite

Abstract-Alcohol consumption is the number one risk factor for morbidity and mortality among young people. In late adolescence and early adulthood, excessive drinking and intoxication are more common than in any other life period, increasing the risk of adverse physical and psychological health consequences. In this paper, we examine the feasibility of using smartphone sensor data and machine learning to automatically characterize and classify drinking behavior of young adults in an urban, ecologically valid nightlife setting. Our work has two contributions. First, we use previously unexplored data from a large-scale mobile crowdsensing study involving 241 young participants in two urban areas in a European country, which includes phone data (location. accelerometer, Wifi, Bluetooth, battery, screen, and app usage) along with self-reported, fine-grain data on individual alcoholic drinks consumed on Friday and Saturday nights over a three-month period. Second, we build a machine learning methodology to infer whether an individual consumed alcohol on a given weekend night, based on her/his smartphone data contributed between 8PM and 4AM. We found that accelerometer data is the most informative single cue, and that a combination of features results in an overall accuracy of 76.6%.

show abstract

Section: Role Of Gender On Drinking Behaviorsupporting

confidence: 86%

DrinkSense: Characterizing Youth Drinking Behavior Using Smartphones

Santani

Labhart

et al. 2018

IEEE Trans. on Mobile Comput.

Self Cite

122

View full text Add to dashboard Cite

show abstract

“…According to the stress and coping theory, adolescents use a variety of coping strategies to deal with stressors, some of which may actually be maladaptive and exacerbate the stressor instead of eliminating it [5,26,27]. This may be particularly true for adolescents dealing with the stress of excess weight or negative body image.…”

Section: Stress and Risk Behaviorsmentioning

confidence: 99%

Stigma, obesity and adolescent risk behaviors: current research and future directions

Farhat

2015

Current Opinion in Psychology

View full text Add to dashboard Cite

Adolescents are particularly vulnerable to risk behaviors as, in this life stage, they are experiencing intense physical, psychological and social changes. Adolescents who are overweight/obese, but particularly those who perceive themselves as such, are more likely to engage in risk behaviors than those who are or perceive themselves of normal-weight. Weight stigma and discrimination may contribute to this association as they reinforce poor body image and create intense stress. Stress is associated with poor emotion regulation, more impulsive, contextually-determined, and less rational decision-making, leading to greater engagement in risk behaviors. However, pathways from weight stigma/discrimination to risk behavior may be moderated by adolescents' social networks. This review provides a conceptual model and empirical evidence to illustrate the proposed pathways from weight stigma and discrimination to risk behaviors. Public health implications and future research directions are also discussed.

show abstract

“…Differences in social insurance systems, policies for sickness absence and cultural differences might affect the association between alcohol use and sickness absence . To obtain generalizable, rather than particular evidence, in our previous study we used data from three countries (Finland, the United Kingdom and France), and demonstrated a U‐shaped association between alcohol use and sickness absence among men .…”

Section: Introductionmentioning

confidence: 99%

Sickness absence diagnoses among abstainers, low‐risk drinkers and at‐risk drinkers: consideration of the U‐shaped association between alcohol use and sickness absence in four cohort studies

et al. 2018

View full text Add to dashboard Cite

AimsTo estimate differences in the strength and shape of associations between alcohol use and diagnosis‐specific sickness absence.DesignA multi‐cohort study. Participants (n = 47 520) responded to a survey on alcohol use at two time‐points, and were linked to records of sickness absence. Diagnosis‐specific sickness absence was followed for 4–7 years from the latter survey.Setting and participantsFrom Finland, we had population cohort survey data from 1998 and 2003 and employee cohort survey data from 2000–02 and 2004. From France and the United Kingdom, we had employee cohort survey data from 1993 and 1997, and 1985–88 and 1991–94, respectively.MeasurementsWe used standard questionnaires to assess alcohol intake categorized into 0, 1–11 and > 11 units per week in women and 0, 1–34 and > 34 units per week in men. We identified groups with stable and changing alcohol use over time. We linked participants to records from sickness absence registers. Diagnoses of sickness absence were coded according to the International Classification of Diseases. Estimates were adjusted for sex, age, socio‐economic status, smoking and body mass index.FindingsWomen who reported drinking 1–11 units and men who reported drinking 1–34 units of alcohol per week in both surveys were the reference group. Compared with them, women and men who reported no alcohol use in either survey had a higher risk of sickness absence due to mental disorders [rate ratio = 1.51, 95% confidence interval (CI) = 1.22–1.88], musculoskeletal disorders (1.22, 95% CI = 1.06–1.41), diseases of the digestive system (1.35, 95% CI = 1.02–1.77) and diseases of the respiratory system (1.49, 95% CI = 1.29–1.72). Women who reported alcohol consumption of > 11 weekly units and men who reported alcohol consumption of > 34 units per week in both surveys were at increased risk of absence due to injury or poisoning (1.44, 95% CI = 1.13–1.83).ConclusionsIn Finland, France and the United Kingdom, people who report not drinking any alcohol on two occasions several years apart appear to have a higher prevalence of sickness absence from work with chronic somatic and mental illness diagnoses than those drinking below a risk threshold of 11 units per week for women and 34 units per week for men. Persistent at‐risk drinking in Finland, France and the United Kingdom appears to be related to increased absence due to injury or poisoning.

show abstract

Drinking Motives Mediate Cultural Differences but Not Gender Differences in Adolescent Alcohol Use

Cited by 81 publications

References 35 publications

DrinkSense: Characterizing Youth Drinking Behavior Using Smartphones

DrinkSense: Characterizing Youth Drinking Behavior Using Smartphones

Stigma, obesity and adolescent risk behaviors: current research and future directions

Sickness absence diagnoses among abstainers, low‐risk drinkers and at‐risk drinkers: consideration of the U‐shaped association between alcohol use and sickness absence in four cohort studies

Contact Info

Product

Resources

About