ArticlePDF AvailableLiterature Review

Impact of Alcohol Advertising and Media Exposure on Adolescent Alcohol Use: A Systematic Review of Longitudinal Studies

Authors:

Abstract

To assess the impact of alcohol advertising and media exposure on future adolescent alcohol use. We searched MEDLINE, the Cochrane Library, Sociological Abstracts, and PsycLIT, from 1990 to September 2008, supplemented with searches of Google scholar, hand searches of key journals and reference lists of identified papers and key publications for more recent publications. We selected longitudinal studies that assessed individuals' exposure to commercial communications and media and alcohol drinking behaviour at baseline, and assessed alcohol drinking behaviour at follow-up. Participants were adolescents aged 18 years or younger or below the legal drinking age of the country of origin of the study, whichever was the higher. Thirteen longitudinal studies that followed up a total of over 38,000 young people met inclusion criteria. The studies measured exposure to advertising and promotion in a variety of ways, including estimates of the volume of media and advertising exposure, ownership of branded merchandise, recall and receptivity, and one study on expenditure on advertisements. Follow-up ranged from 8 to 96 months. One study reported outcomes at multiple time-points, 3, 5, and 8 years. Seven studies provided data on initiation of alcohol use amongst non-drinkers, three studies on maintenance and frequency of drinking amongst baseline drinkers, and seven studies on alcohol use of the total sample of non-drinkers and drinkers at baseline. Twelve of the thirteen studies concluded an impact of exposure on subsequent alcohol use, including initiation of drinking and heavier drinking amongst existing drinkers, with a dose response relationship in all studies that reported such exposure and analysis. There was variation in the strength of association, and the degree to which potential confounders were controlled for. The thirteenth study, which tested the impact of outdoor advertising placed near schools failed to detect an impact on alcohol use, but found an impact on intentions to use. Longitudinal studies consistently suggest that exposure to media and commercial communications on alcohol is associated with the likelihood that adolescents will start to drink alcohol, and with increased drinking amongst baseline drinkers. Based on the strength of this association, the consistency of findings across numerous observational studies, temporality of exposure and drinking behaviours observed, dose-response relationships, as well as the theoretical plausibility regarding the impact of media exposure and commercial communications, we conclude that alcohol advertising and promotion increases the likelihood that adolescents will start to use alcohol, and to drink more if they are already using alcohol.
Alcohol & Alcoholism Vol. 44, No. 3, pp. 229–243, 2009 doi: 10.1093/alcalc/agn115
Advance Access publication 14 January 2009
SPECIAL ISSUE: THE MESSAGE AND THE MEDIA
Impact of Alcohol Advertising and Media Exposure on Adolescent Alcohol Use:
A Systematic Review of Longitudinal Studies
Peter Anderson1,, Avalon de Bruijn2, Kathryn Angus3, Ross Gordon3and Gerard Hastings3
1University of Maastricht, Maastricht, The Netherlands, 2National Foundation for Alcohol Prevention, Utrecht, The Netherlands and 3Institute for Social
Marketing, University of Stirling and The Open University, Stirling, UK
Corresponding author: Apartat de Correus 352, 17230 Palamos, Girona, Spain. Tel: +34-972-662480; E-mail: peteranderson.mail@gmail.com
(Received 14 July 2008; first review notified 16 October 2008; in revised form 16 December 2008; accepted 17 December 2008;
advance access publication 14 January 2009)
Abstract — Aims: To assess the impact of alcohol advertising and media exposure on future adolescent alcohol use. Methods: We
searched MEDLINE, the Cochrane Library, Sociological Abstracts, and PsycLIT, from 1990 to September 2008, supplemented with
searches of Google scholar, hand searches of key journals and reference lists of identified papers and key publications for more recent
publications. We selected longitudinal studies that assessed individuals’ exposure to commercial communications and media and alcohol
drinking behaviour at baseline, and assessed alcohol drinking behaviour at follow-up. Participants were adolescents aged 18 years or
younger or below the legal drinking age of the country of origin of the study, whichever was the higher. Results: Thirteen longitudinal
studies that followed up a total of over 38,000 young people met inclusion criteria. The studies measured exposure to advertising and
promotion in a variety of ways, including estimates of the volume of media and advertising exposure, ownership of branded merchandise,
recall and receptivity, and one study on expenditure on advertisements. Follow-up ranged from 8 to 96 months. One study reported
outcomes at multiple time-points, 3, 5, and 8 years. Seven studies provided data on initiation of alcohol use amongst non-drinkers,
three studies on maintenance and frequency of drinking amongst baseline drinkers, and seven studies on alcohol use of the total sample
of non-drinkers and drinkers at baseline. Twelve of the thirteen studies concluded an impact of exposure on subsequent alcohol use,
including initiation of drinking and heavier drinking amongst existing drinkers, with a dose response relationship in all studies that
reported such exposure and analysis. There was variation in the strength of association, and the degree to which potential confounders
were controlled for. The thirteenth study, which tested the impact of outdoor advertising placed near schools failed to detect an impact on
alcohol use, but found an impact on intentions to use. Conclusions: Longitudinal studies consistently suggest that exposure to media and
commercial communications on alcohol is associated with the likelihood that adolescents will start to drink alcohol, and with increased
drinking amongst baseline drinkers. Based on the strength of this association, the consistency of findings across numerous observational
studies, temporality of exposure and drinking behaviours observed, dose-response relationships, as well as the theoretical plausibility
regarding the impact of media exposure and commercial communications, we conclude that alcohol advertising and promotion increases
the likelihood that adolescents will start to use alcohol, and to drink more if they are already using alcohol.
INTRODUCTION
Adolescents are frequent users of alcohol and increasingly con-
sume it in a risky fashion. For example, in Europe, nearly all
(over 9 in 10) 15- to 16-year-old students have drunk alco-
hol at some point in their life (Currie et al., 2004), starting
on average just after 121
/
2years of age. Data from the 2003
European School Survey Project on Alcohol and Other Drugs
(ESPAD) found that the average amount of alcohol drunk by
15- to 16-year olds on the last drinking occasion was 60 g (six
drinks) (Hibell et al., 2004). Over one in eight (13%) of 15- to
16-year-old students reported being drunk more than 20 times
in their life, and over one in six (18%) reported binge drinking
(5+drinks on a single occasion) three times or more in the last
month. Binge drinking in young people has increased across
much of Europe in the last 10 years, although more so in the
early part of this period (Anderson and Baumberg, 2006).
Children and adolescents have greater vulnerability to alco-
hol than adults. As well as usually being physically smaller,
they lack experience of drinking and its effects. They have
no context or reference point for assessing or regulating their
drinking, and, furthermore, they have built up no tolerance to
alcohol. From mid-adolescence to early adulthood, there are
major increases in the amount and frequency of alcohol con-
sumption and alcohol-related problems (Bonomo et al., 2004;
Wells et al., 2004). Those with heavier consumption in their
mid-teens tend to be the ones with heavier consumption, alcohol
dependence and alcohol-related harm, including poorer mental
health, poorer education outcome and increased risk of crime
in early adulthood (Jefferis et al., 2005, Englund et al., 2008;
Pitk¨
anen et al., 2008). During adolescence, alcohol can lead
to structural changes in the hippocampus (a part of the brain
involved in the learning process) (De Bellis et al., 2000) and at
high levels can permanently impair brain development (Spear,
2002). Drinking by adolescents and young adults is associated
with automobile crash injury and death, suicide and depres-
sion, missed classes and decreased academic performance, loss
of memory, blackouts, fighting, property damage, peer criti-
cism and broken friendships, date rape, and unprotected sexual
intercourse that places people at risk for sexually transmitted
diseases, HIV infection and unplanned pregnancy (Bonomo
et al., 2001). Adolescents aged 14–17 years with alcohol use
disorders show substantially greater brain activation to alco-
holic beverage pictures than control youths, predominantly in
brain areas linked to reward, desire and positive affect (Tapert
et al., 2003). The degree of brain response to the alcohol pic-
tures is highest in youths who consume more drinks per month
and report greater desires to drink.
Alcohol advertising is one of the many factors that have the
potential to encourage youth drinking. For young people who
have not started to drink, expectancies are influenced by nor-
mative assumptions about teenage drinking as well as through
C
The Author 2009. Published by Oxford University Press on behalf of the Medical Council on Alcohol. All rights reserved
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230 Anderson et al.
the observation of drinking by parents, peers and models in
the mass media. Research has linked exposure to portrayals of
alcohol use in the mass media with the development of positive
drinking expectancies by children and adolescents (Austin and
Knaus, 2000; Austin et al., 2000). Young people with more
positive affective responses to alcohol advertising hold more
favourable drinking expectancies, perceive greater social ap-
proval for drinking, believe drinking is more common among
peers and adults, and intend to drink more as adults (Chen and
Grube, 2002). Fourteen-year olds with greater exposure to ad-
vertisements in magazines, at sporting and music events and on
television are more advertisement-aware than those with less
exposure, as are teens who watch more TV, pay attention to
beer advertisements and know adults who drink (Collins et al.,
2003). Amongst 10- to 17-year olds, the perceived likeabil-
ity of beer advertisements is a function of the positive affec-
tive responses evoked by the specific elements featured in the
advertisements. Liking of specific elements featured in beer
advertisements, such as humour, animation and popular mu-
sic, significantly contribute to the overall likeability of these
advertisements and subsequently to advertising effectiveness
indicated by an intent to purchase the product and brand pro-
moted by the advertisements (Chen et al., 2005).
These studies, however, do not establish whether alcohol
advertising actually influences young people’s drinking be-
haviour. Answering this question requires either experimental
studies, which are not possible for ethical reasons, or systematic
observation of real world effects.
One approach to observation is to look for correlations be-
tween the amount of alcohol advertising and the amount of
drinking taking place in a particular jurisdiction using econo-
metric methods. It is hypothesized that, if advertising has an
effect, drinking rates should shadow temporal variations in the
amount of advertising. Establishing such a link, however, is
problematic for a number of reasons. First, measures of the
amount of advertising, which typically use expenditure on
advertising, vary in the accuracy and inclusiveness. For ex-
ample, in the UK, whilst mass media advertising expenditure
has been estimated to be £202.2 million (UK Cabinet Office,
2003), expenditure on promotion more generally (taking in
point of sale promotion, electronic communications and other
‘below the line’ activity) is thought to approach £800 million
(Drink Pocket Book, 2006). Second, the analysis depends on
the construction of a complex model that ascribes values for all
the different variables—including price, drinking restrictions
and disposable income—as well as advertising (Harrison and
Godfrey, 1989; Casswell, 1995; Saffer, 1996) that might be
implicated. Third, the duration of advertising effects need to
be taken into account: a powerful campaign may continue to
have an effect years after it was first deployed. Indeed, ad-
vertisers deliberately try to enhance these long-term effects as
part of their effort to build brands. Fourth, variations in the
amount of advertising tend to be minor (few comprehensive
bans have been introduced) so researchers are looking for po-
tentially very small changes in drinking patterns. Finally, and
most importantly given our focus on adolescents, measures of
the overall amount of advertising do not necessarily give an
accurate picture of youth exposure.
To obtain this focus on young people, it is necessary to do
research directly with them. Such investigations come in two
forms: cross-sectional and longitudinal. Cross-sectional studies
take a snapshot of advertising exposure (awareness and/or ap-
preciation) and levels of drinking, and look for correlations be-
tween the two. However, because they cannot show whether ex-
posure preceded drinking uptake, they leave open the possibility
that any correlation is as likely to reflect drinking encouraging
young people to take an interest in advertising, as vice versa.
As Aitken et al. (1988) point out, however, paying atten-
tion to advertising presupposes that the viewer is getting some
benefit or reward from it—most fundamentally that they are
doing the right thing by consuming the advertised product—
and advertisers deliberately design their work to provide such
rewards (Aitken, 1988). Thus, cross-sectional data can shed a
useful light on the role of alcohol advertising in young people’s
drinking.
Longitudinal studies take the debate a step further by mea-
suring exposure at time A, and how this relates to drinking
at time B. Provided potential confounders (such as peer and
parental drinking) are controlled for, any correlation indicates
a causative relationship. This review therefore focuses on lon-
gitudinal studies with young people. It builds on and extends re-
views conducted by Jernigan (2006), Smith and Foxcroft (2007)
and Booth et al. (2008).
METHODS OF THE REVIEW
Types of studies
We considered studies that examined the association between
alcohol advertising and promotion, the portrayal of alcohol
in mass media, and adolescent drinking. We included only
longitudinal studies in which individuals’ drinking behaviour
and exposure to advertising, receptivity or attitudes to alcohol
advertising, or brand awareness were measured at baseline and
individuals’ drinking behaviours were then measured in one or
more follow-ups. Experimental, cross-sectional and time-series
or econometric studies were excluded from this review.
Types of participants
Studies that included adolescents 18 years of age or younger
were reviewed with the exception of US-based studies, where
the legal drinking age of 21 years was taken as the cut-off.
Types of intervention
The ‘intervention’ is alcohol mass media advertising by the
industry, including portrayal of alcohol in the mass media,
alcohol promotion and media exposure that contained alco-
hol advertisements. Mass media channels of communication
include advertising delivered through television, radio, news-
papers, outdoor advertising, posters, etc. Alcohol promotion
includes give-aways and items bearing alcohol industry logos.
In practice, the measure of exposure to the intervention may
not discriminate between specific types of advertising, since
adolescents are exposed to many sources.
Types of outcome measures
Self-reported drinking status.
Search strategy
We searched MEDLINE, the Cochrane Library, Sociological
Abstracts, and PsycLIT, from 1990 to September 2008, sup-
plemented with searches of Google scholar, hand searches of
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Impact of Alcohol Advertising and Media Exposure on Adolescent Alcohol Use 231
key journals and reference lists of identified papers and key
publications for more recent publications. The search strategy
combined the following four sets of terms. Child Search Strat-
egy: Child(MeSH) OR ChildOR SchoolchildOR School
ageOR Kid OR Kids OR Adolescent(MeSH) OR AdolesOR
TeenOR BoyOR GirlOR Minors(MeSH) OR Minors OR
Schools(MeSH) OR Primary schoolOR Secondary school
OR Elementary schoolOR High schoolOR Highschool
Or CollegeOR UniversitOR Young OR Youth.Alcohol
Search Strategy: Alcohol drinking(MeSH) OR Alcoholdrink
OR Alcoholic beverages(MeSH) OR AlcoholbeverageOR
Beer(MeSH) OR BeerOR Wine(MeSH) OR WineOR
LiquorOR Spirits OR Alcohol.Marketing Search Strat-
egy: Marketing(MeSH:NoExp) OR Marketing OR Advertising
as Topic(MeSH) OR AdvertOR PromotOR SponsorOR
Television(MeSH) OR TelevisOR TVOR Radio(MeSH)
OR Radio OR Radios OR Motion pictureOR MovieOR
FilmOR DisplayOR BillboardOR Poster OR Posters
OR Newspapers(MeSH) OR NewspaperOR MagazineOR
Mass media(MeSH) OR Internet(MeSH) OR Internet. Longi-
tudinal Studies Search Strategy: Longitudinal Studies(MeSH)
OR LongitudOR CohortOR Follow-upOR ProspectivOR
SubsequOR Wave.
There were four stages in the review process:
1. Studies identified in the electronic search were pre-
screened for relevance by a reviewer. Articles were re-
jected if the title and abstract did not focus on the impact
of alcohol advertising or promotion on adolescent drink-
ing behaviour. If the article could not be rejected with
certainty, the full text was obtained and screened by two
reviewers.
2. Two reviewers independently assessed relevant studies for
inclusion.
3. One reviewer extracted data from included studies using a
form and a second reviewer checked these data.
4. Studies were combined using qualitative narrative synthe-
sis because there was heterogeneity among study designs,
type of ‘intervention’ and outcomes measured.
RESULTS
The search strategy resulted in 810 titles, reduced to 729 fol-
lowing deletion of duplicates. Initial assessment of the titles
and abstracts reduced the number of papers to 131, further re-
duced to 29 on closer assessment of the abstract and full text.
Sixteen publications reporting on 13 studies met the inclusion
criteria. One longitudinal study was excluded, because the use
of alcohol at baseline was not accounted for (Wingood et al.,
2003). No additional methodological quality criteria were used
in selecting papers for inclusion. Table 1 summarizes the stud-
ies, describing the alcohol marketing and media exposures, the
drinking behaviour outcome measures, the sample and study
designs, the survey methods, the baseline sample sizes and
follow-up rates, the methods of analyses, the confounders anal-
ysed and the outcome at follow-up. The individual studies were
not ranked for methodological quality.
The 13 studies included a variety of different age groupings
that ranged between 10 and 21 years of age at baseline. Ten
studies were conducted in the United States, one in Belgium,
one in Germany and one in New Zealand. The years during
which data were collected ranged between 1985 and 2005.
Baseline sample sizes ranged from 630 to 6522, with a total of
over 38,000 at follow-up across the 13 studies.
Two studies investigated the impact of media exposure (tele-
vision and music videos) on the use of alcohol; three studies,
alcohol use in motion pictures; two studies, a range of market-
ing exposure (including TV, magazines, concession stands at
sports or music events, and in store advertisements); two stud-
ies, ownership of alcohol branded merchandise; one study, TV
alcohol commercials alone; one study, recall and liking of ad-
vertisements; one study, outdoor advertising; one study, brand
recognition, recall and receptivity to alcohol marketing; and
one study, volume of and expenditure on advertisements.
In 10 studies, participants were followed up once after base-
line. The duration of the follow-up was 12 months, 18 months,
24 months, 30 months and 12–26 months. One study followed
up participants at 8, 16 and 24 months. The New Zealand study
reported outcomes at multiple time points, 3 years, 5 years and
8 years. One study evaluated participants at four time points
and presents results for follow-up after 21 months taking the
multiple time points into account in the analysis (Snyder et al.,
2006). Attrition rates varied from 31% to 100% (the sample
with 100% follow-up included and analysed all students with
alcohol consumption measurements at baseline and follow-up
(Casswell and Zhang, 1998). Three studies used imputation
for missing data (Ellickson et al., 2005; Collins et al., 2007;
Wills et al., 2008); all other studies excluded participants with
missing data from the analyses.
All studies measured alcohol use at follow-up. Eight studies
provided data on initiation of alcohol use amongst non-drinkers
(Robinson et al., 1998; Ellickson et al., 2005; Sargent et al.,
2006; Fisher et al., 2007; Henriksen et al., 2008; Hanewinkel
and Sargent, 2008; McClure et al., 2008; Wills et al., 2008),
three studies on maintenance and frequency of drinking
amongst baseline drinkers (Robinson et al., 1998; Casswell and
Zhang, 1998; Casswell et al., 2002; Ellickson et al., 2005) and
six studies on alcohol use of the total sample of non-drinkers
and drinkers at baseline (Connolly et al., 1994; Stacy et al.,
2004; Van den Bulck and Beullens, 2005; Snyder et al., 2006;
Collins et al., 2007; Pasch et al., 2007).
Study samples included random samples of youth (Snyder
et al., 2006; McClure et al., 2008; Wills et al., 2008), ran-
domly selected schools with all participants invited to partic-
ipate (Stacy et al., 2004; Van den Bulck and Beullens, 2005;
Sargent et al., 2006), all elementary schools in a State (Collins
et al., 2007; Hanewinkel and Sargent, 2008), all middle and
high schools in a city (Henriksen et al., 2008), all participants
at six schools, with no information given on how the schools
were selected (Robinson et al., 1998), the original sample of
participants selected for participation in an RCT (Ellickson
et al., 2005; Pasch et al., 2007), all participants of a longitu-
dinal cohort study (Fisher et al., 2007) and a sub-sample of
a longitudinal cohort study who had exposure and outcome
data available at all follow-up periods (Connolly et al., 1994;
Casswell and Zhang, 1998; Casswell et al., 2002).
Measurement of exposure and alcohol use were by self-
reported questionnaires in seven studies (Robinson et al., 1998;
Stacy et al., 2004; Ellickson et al., 2005; Collins et al., 2007;
Henriksen et al., 2008; Hanewinkel and Sargent, 2008), by both
face-to-face interview and computer interview in one (Connolly
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232 Anderson et al.
Table 1. Summary of included studies
Study [reference]
Country
Baseline survey date
Age group (years)
Study objective
Alcohol marketing and
media exposure
Drinking behaviour
outcome measurea
Sample/study
design
Survey method Baseline sample
size
Follow-up
(months)
Follow-up
rate
Analysis Covariates/
confounders analysed
Outcome at follow-up
Connolly et al. (1994) New
Zealand
1985
13 and again at 15
Impact of recall of
alcohol-related mass
media material on
subsequent alcohol
consumption
Alcohol portrayals in mass
media (e.g. TV, radio)
including commercial
advertising (product
advertising, sponsorship)
and entertainment media
Average amount of alcohol
consumed on an occasion
during a year; maximum
of typical amounts
consumed across all
drinking locations; total
frequencies of beer and
other drinks (wine and
spirits) consumed
Participants in a
multi-disciplinary
longitudinal study of
growth
and development
Face-to-face
interview at 13
and 15 years;
computer survey
at 18 years
667 who
were present for
alcohol
interviews at
ages 13, 15 and
18 years
60 and 36
435/667
(65%)
(analysed
sample)
Multiple
regression
analyses; only P
values reported
Gender
Socio-economic status
Living situation
Occupation
Peer approval of people who
drink
Number of moderation
messages recalled
Number of hours of TV watched
Impact of number of commercial
advertisements recalled at ages 13
and 15 on average and maximum
amounts of alcohol consumed on an
occasion and on frequency of
drinking. There was no significant
relationship with wine and spirit
consumption. For males, number of
commercial advertisements recalled
at age 15, but not 13, predicted
average (P=0.047) and maximum
amounts of beer (P=0.008)
consumed on an occasion. For
females, the number of commercial
advertisements recalled at age 13,
but not 15, predicted frequency of
beer consumption (P=0.029)
Robinson et al. (1998) USA
(California)
1994
Mean age (SD) 14.6 (0.5)
Impact of media exposure on
initiation of alcohol use
and maintenance of
drinking among existing
drinkers
Exposure to TV, music videos
(on music channels and
rental videotapes);
videotape viewing;
computer and video game
use on typical school and
weekend days
Frequency of lifetime alcohol
drinking (a typical single
serving); frequency of
drinking in past
30 days
Non-randomized
prospective survey
across six public high
schools
Paper survey 2609 18 1583/2609
(61%)
Analysis
included
1533
students
with
complete
data on
both alcohol
use and
media
exposure
Logistic
regression
to calculate
odds ratios
adjusted for
main
confounders
Age
Gender
Ethnicity
Hours of other media watched
During the 18-month follow-up, 325
(36%) non-drinkers began drinking.
Controlling for the effects of age,
gender, ethnicity and the exposure
to other media, each 1-h increase
per day in TV viewing associated
with a 9% increased risk for
initiating drinking [OR=1.09
(1.01–1.18)]. Each 1-h increase per
day in watching music videos
associated with a 31% increased
risk for initiating drinking
[OR=1.31 (1.17–1.47)]. During the
18-month follow-up, 322 (51%)
drinkers continued drinking. There
were no significant associations
between media exposure and
maintenance of drinking
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Impact of Alcohol Advertising and Media Exposure on Adolescent Alcohol Use 233
Casswell and Zhang (1998).
Same sample as Connolly
et al. (1994) above New
Zealand 1990/199118
Impact of liking for alcohol
advertising and brand
allegiance at age 18 years
on drinking and
alcohol-related aggression
at age 21 years
Exposure to alcohol
advertising (e.g. TV, radio,
cinema advertising and
sponsorship)
Combined average volume of
beer drunk at own home,
someone else’s home,
hotel, tavern or bar, sports
clubs and nightclubs over
previous year; whether
ever experienced problems
with aggression associated
with drinking alcohol
Participants in a
multi-disciplinary
longitudinal study of
growth and
development
Computer-based
questionnaire and
face-to-face
supplementary
interview
Sample restricted to
630 of those who
drank beer at age
18 years
36
Sample
restricted to
those who
provided
information
at baseline
and
follow-up
Structural equation
modelling
analysis
Gender The measure of liking of alcohol
advertising was based on responses
to three items: ‘alcohol
advertisements have plenty of
action’; ‘alcohol advertisements
show the type of people I admire’;
‘Comparing alcohol adverts
generally with other ads, which of
the following you most agree with?’
Liking of alcohol advertisements at
age 18 predicted beer consumption
at age 21 [standardized coefficient
0.36 (SE =0.06, T=6.6)]
Casswell et al. (2002). Same
sample as Connolly et al.
(1994) and Casswell and
Zhang (1998) above
New Zealand 1990/1991
18
To identify developmental
trajectories of drinking
between the ages of 18 and
26 years and to identify
variables at age 18,
including liking of alcohol
advertisements, which
predict these trajectories
Exposure to alcohol
advertising (undefined/no
examples given)
Frequency of drinking over
past year and typical
quantity consumed per
drinking occasion at own
home, someone else’s
home, hotel, tavern or bar,
sports clubs and nightclubs
Participants in a
multi-disciplinary
longitudinal study of
growth and
development
Computer-based
questionnaire and
face-to-face
supplementary
interview
Sample restricted to
714 participants
who were
drinkers of
alcohol at ages
18, 21 and 26
years
Trajectories
of drinking
over 96
months
Sample
restricted to
714
participants
who were
drinkers of
alcohol at
ages 18, 21
and 26 years
Trajectory analysis
using method of
Jones et al.
(2001)
Gender
Ease of access to alcohol
Access to licensed premises
Living arrangement
Parental consumption
Level of education
Age of onset of regular drinking
The measure of liking of alcohol
advertising was based on responses
to three items: ‘alcohol
advertisements have plenty of
action’; ‘alcohol advertisements
show the type of people I admire’;
‘Comparing alcohol adverts
generally with other ads, which of
the following you most agree with?’
Liking of alcohol advertisements at
age 18 did not project trajectories of
quantities of alcohol consumed per
occasion for both men and women
over the age 18–26 years. Liking of
alcohol advertisements at age 18
marginally predicted being in a
higher trajectory for frequency of
drinking for men (OR =1.6, P=
0.0706) but not for women over the
age 18–26 years
Stacyet al. (2004) USA
(California) 2000
US seventh grade (normally
12–13 years)
Impact of TV alcohol
commercials on alcohol
use
Exposure to TV adverts for
alcohol aired during 20
popular TV series; and
during professional
baseball, college and
professional basketball,
professional soccer and
hockey, and on
subscription sports
channel in previous
months
Frequency of drinking
alcohol in last 30 days;
frequency of ‘3-drink
episodes’ (3 drinks of
typical serving size in a
row over couple of hours)
in past 30 days
Randomized prospective
survey across 20
middle schools
Paper survey 2998 12
2250/2998
(75%)
Logistic regression
to calculate
odds ratios
adjusted for
main
confounders
Gender
Ethnicity
School
Participation in team sports
Perception of friends’ alcohol use
Perceived peer approval of alcohol use
Intentions to use alcohol
Perceptions of adults’ alcohol use
General TV viewing frequency
Ad memorability (cued-recall and drawing)
Each 1 standard deviation increase in
alcohol advertising exposure
associated with 44% increase in
odds of beer drinking (95% CI:
27%–61%), 34% increase in odds
of wine/liquor drinking (95% CI:
17%–52%) and 26% increase in
odds of consuming three or more
drinks on one occasion (95% CI:
8%–48%) during previous 30 days
(Continued )
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234 Anderson et al.
Table 1. Continued
Study [reference]
Country Baseline
survey date Age group
(years)
Study objective Alcohol
marketing and media
exposure Drinking
behaviour outcome
measurea
Sample/study
design
Survey method Baseline sample
size
Follow-up
(months)
Follow-up
rate
Analysis Covariates/
confounders analysed
Outcome at follow-up
Van den Bulck and Beullens
(2005) Belgium
2003
13 and 16 years of age
Impact of TV and music
video exposure on the use
of alcohol whilst going out
Exposure to music video TV
programmes and normal
TV viewing between 7 am
and 1 am
Number of alcoholic drinks
usually drank when going
out (to a bar, party, disco,
etc.) ranging from never to
9; frequency of going out
Randomized prospective
survey across 15
secondary schools
Paper survey 2546 12
1648/2546
(65%)
Multiple
regression
analyses
accounting for
covariates
Age
School year
Gender
Pubertal development status
Smoking status
Drinking at baseline
Quantity of alcohol consumed while
going out at the follow-up period
related to overall TV viewing (β=
0.068, t=3.46, P=0.001) and
music video exposure (β=0.073,
t=3.05, P=0.004)
Ellickson et al. (2005)
USA (South Dakota) 1997
Seventh grade (age
12–13 years)
Impact of exposure to
different forms of alcohol
advertising on the
initiation of alcohol use
and the frequency of
drinking amongst existing
drinkers, and whether
exposure to a prevention
programme mitigates any
such relationship
Exposure to TV beer
advertisements (aired
during professional
football and basketball and
during four late-night
shows popular with age
group), magazines with
alcohol advertisements,
beer concession stands and
in-store advertisement
displays
Frequency of drinking
alcohol in the past year
(five options ranging from
0to+20 times)
Randomized controlled
trial of an alcohol use
prevention
programme involving
41 middle schools in
South Dakota
Paper survey 3780 30
3111/3780
(82%)
Regression models
accounting for
covariates
Gender
Ethnicity
TV viewing
Adult drinking
Adult approval of drinking
Peer drinking
Peer approval of drinking
School grades
Religiosity
Parental monitoring
Alcohol beliefs
Deviance
Impulsivity
Playing sports
Exposure to prevention programme
48% of 1206 grade 7 non-drinkers
consumed alcohol in previous year
at grade 9. Controlled for main
confounders, including exposure to
all different types of advertisement
and the impact of the prevention
programme, exposure to beer
concession stands at sports or music
events predicted drinking onset for
non-drinkers in previous 12 months
(OR =1.42, P<0.05), whereas
exposure to TV beer adverts (OR =
1.05, P>0.05), magazines with
alcohol advertisements (OR =1.12,
P>0.05) and exposure to in-store
advertisements (OR =1.06, P>
0.05) did not. Weekly TV viewing,
controlled for alcohol advertisement
exposure, was inversely related to
the onset of drinking, explained as a
‘babysitter’ effect, whereby youth
who watch more TV have fewer
opportunities to drink. 77% of 1905
grade 7 drinkers consumed alcohol
in the previous year at grade 9.
Exposure to beer concession stands
at sports or music events predicted
the frequency of drinking amongst
existing drinkers in previous 12
months (coefficient =0.09, P<
0.05), as did exposure to magazines
with alcohol advertisements
(coefficient =0.10, P<0.05),
whereas exposure to TV beer
adverts (coefficient =−0.01, P>
0.05) and exposure to in-store
advertisements (coefficient =0.02,
P>0.05) did not
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Impact of Alcohol Advertising and Media Exposure on Adolescent Alcohol Use 235
Snyder et al. (2006) USA
1999
15–26 (52% <21)
Impact of alcohol advertising
expenditures and the
degree of exposure to
alcohol advertisements on
alcohol use
Exposure to beer, liquor and
premixed drink advertising
on TV, radio, magazines
and billboards in the past
month. Industry data on
amount spent on alcohol
advertisements
Number of alcoholic drinks in
the past months calculated
from the frequency of
drinking alcohol (past 4
weeks); average quantity
of drinks per day and
maximum quantity of
drinks on one occasion
Randomized survey
sample from 24
Nielsen media
markets
Telephone interviews 1872 21
588/1872
(31%)
Multi-level linear
modelling to
calculate event
rate ratio
Gender
Age
Ethnicity
School status
Alcohol sales per capita
For those aged <21 years, each
additional alcohol advertisement
seen increased the number of drinks
consumed in the previous month by
1% (event rate ratio =1.01, 95%
CI: 1.001–1.021). Each additional
dollar spent on alcohol
advertisements increased the
number of drinks consumed in the
previous month by 2.8% (event rate
ratio =1.028, 95% CI:
1.002–1.056). Seeing more or fewer
advertisements in a particular
month than he or she typically saw
is a predictor of drinking (event rate
ratio =1.002, 95% CI:
1.001–1.003)
Sargent et al. (2006) USA
(New Hampshire and
Vermont)
1999 10–14
Impact of exposure of alcohol
use in motion pictures on the
initiation of alcohol use
Exposure to US box-office hit
movies content-coded for
on-screen alcohol use
(consumption, implied
possession and purchase of
alcohol)
Initiation of alcohol drinking
(unknown to parents)
Randomized cross
sectional survey with
longitudinal
follow-up on
non-drinkers at
baseline in 15 middle
schools
Paper survey, with
follow-up
telephone interview
3577 non-drinkers 12–26 (average
17 months)
2406/3577
(67%)
Multi-level logistic
regression to
calculate ORs
adjusted for
covariates
Grade
Gender
Parental education
School performance
Self-esteem
Maternal support
Maternal control
Rebelliousness
Sensation seeking
Smoking status
357/2406 (15%) initiated drinking
alcohol. Exposure predicted use of
alcohol during the follow-up period
(OR =1.15, 95% CI: 1.06–1.25).
Analysis with quadratic exposure
effect (OR =0.996, 95% CI:
0.992–0.999) showed that the
relationship between exposure of
alcohol use in motion pictures and
the initiation of alcohol use was
stronger among adolescents in
lower exposure categories
Collins et al. (2007) USA
(South Dakota) 2000
Grade 6 (11–12)
Impact of exposure to alcohol
marketing on beer use
Exposure to beer ads on TV
(on subscription sports
channel, other sports
programmes, other TV
programmes), in
magazines, on radio, at
concessions stands and on
in-store displays
Ownership of alcohol
promotional items (hats,
posters or T-shirts)
Beer drinking over the past
year
Longitudinal survey
across 39 schools
Paper survey 1786 12
1699/1786
(95%) and
1740/1786
(97%)
Multivariate with
logit and
logistic
regression
Gender
Ethnicity
Parental monitoring
Adult drinking
Peer drinking
Parent approval
Friend approval
School grades
Depressed mood
Deviance
Impulsivity
Religiosity
Sports participation
Weekly TV viewing
Parental education
Grade 6 beer drinking
17% reported past year beer drinking
at grade 7. OR (95% CI) for beer
drinking were: ESPN cable network
(an American cable TV network
dedicated to broadcasting and
producing sports-related
programming 24 h a day) 1.08
(0.83–1.42); other sports beer ads
1.19 (1.01–1.40); other TV beer ads
1.13 (0.95–1.34); magazine reading
0.96 (0.87–1.06); radio listening
1.17 (1.00–1.37); beer concessions
1.01 (0.91–1.13); in-store beer
displays 1.03 (0.92–1.14); beer
promotional items 1.76 (1.23–2.52).
Joint effect of exposure to ads from
all sources: F(8, 28) =8.36, P<
0.0001; and from three TV sources:
F(3, 33) =3.35, P<0.05. Twenty
percent of youth in 75th percentile
of alcohol marketing exposure at
grade 6 reported past year beer
drinking at grade 7, compared with
13% in 25th percentile
(Continued )
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236 Anderson et al.
Table 1. Continued
Study [reference]
Country Baseline
survey date Age
group (years)
Study objective Alcohol
marketing and media
exposure Drinking
behaviour outcome
measurea
Sample/study
design
Survey method Baseline sample
size
Follow-up
(months)
Follow-up
rate
Analysis Covariates/
confounders analysed
Outcome at follow-up
Fisher et al. (2007) USA
1998–1999
11–18
Impact of ownership of or
willing to use alcohol
promotional item on the
initiation of alcohol use
and subsequent binge
drinking
Exposure to alcohol
advertisements or TV
commercials; alcohol
promotional item (e.g. hat,
T-shirt, bag) ownership
and willingness to use
Initiation of alcohol drinking
(ever sipped or had whole
serving of alcoholic
drink); ever binge drinking
(5 drinks in few hours)
in past year
Non-random prospective
cohort study of never
drinking children of
mothers in Nurses’
Health Study II
Postal survey 16,882 recruited in
1996; 11,834
completed
follow-up in
1998 and 1999.
Sample
comprised 5511
non-drinkers who
completed
alcohol questions
in 1998 and 1999
12
11,834/16,882
(70%)
Analysis
confined to
the 511
non-drinkers
Multivariate
logistic
regression
Age
Pubertal status
Race
Geographical area
Social self-esteem
Athletic self-esteem
Global self-esteem
Scholastic self-esteem
Cigarette smoking
Family composition
Family dinner at home
Adults drink at home
Siblings <21 drinking
Peer drinking
Attitudes and beliefs about alcohol
consumption
611/3283 girls (19%) and 384/2228
boys (17%) initiated alcohol use.
The odds ratio of alcohol initiation
during the 12-month period was
1.74 (1.37–2.19) for girls and 1.78
(1.36–2.33) for boys for those who
owned or were willing to use an
alcohol promotion item compared
with those who did or would not.
149/611 drinking girls (24%) and
112/384 drinking boys (29%)
engaged in binge drinking. The
odds ratio of binge drinking
amongst drinkers was 1.79
(1.16–2.77) for girls and 0.87
(0.51–1.48) for boys for those who
owned or were willing to use an
alcohol promotion item compared
with those who did or would not
Pasch et al. (2007) USA
(Chicago) 2003
Mean age 12.2 years
Impact of exposure of
outdoor alcohol
advertisements within
1500 feet (457 m) of 63
Chicago schools on
alcohol use
Outdoor alcohol
advertisements, including
at bus shelters/benches, on
billboards, outside liquor,
grocery, or convenience
stores or outside bars.
Content-coded on a
22-item system for
theme(s)
Drinking behaviour measures
include the frequency of
drinking alcohol over past
30 days; frequency of
drinking 5 drinks over
past 2 weeks
Sixth grade students in
project Northland
Chicago, a
randomized
controlled trial of an
alcohol use
prevention
programme involving
61 public schools in
Chicago
Digital camera and
GPS positioning of
alcohol
advertisements;
paper survey of
alcohol use and
intentions
4137 24
2586/4137
(62.5%)
Mixed-effect
regression
models
Gender
Ethnicity
School socio-economic status
Exposure to other forms of alcohol
advertising
Awareness of outdoor advertising
Prevention programme
On average, each school site had 14.8
alcohol advertisements within 1500
feet (457 m). 2027/2586 (78%)
students followed up were
non-users of alcohol at baseline, but
the initiation of alcohol use was not
reported. Exposure to alcohol
advertisements at sixth grade did
not predict alcohol behaviour
amongst sixth grade alcohol users
and non-users at eighth grade, but,
amongst sixth grade non-users, did
predict at eighth grade intentions to
use (e.g. ‘do you think you will be
drinking alcohol in the next
month’), f=6.29, P=0.01 and
outcome expectancies, f=4.62,
P=0.03
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Impact of Alcohol Advertising and Media Exposure on Adolescent Alcohol Use 237
Henriksen et al. (2008) USA
(California) 2003
10–15
Influence of alcohol
advertising and
promotions on the
initiation of alcohol use
Exposure to alcohol
advertising (beer and
vodka mix products) and
to alcohol branded items
(e.g. T-shirt, lighter,
matches, hat or
sunglasses)
Initiation of alcohol use
(either finished a serving
of alcoholic drink ever, in
last 30 days or last 7 days)
and transition to current
drinker (finished 1–2
servings of alcoholic drink
in last 30 days)
Non-random
longitudinal survey of
adolescents from
three middle and two
high schools in Tracy
California (pop
56,929) in the Survey
of Teen Opinions
about Retail
Environments, a
longitudinal study
primarily of smoking
initiation
Paper survey 1527 non-drinking
students
12
1080/1527
(71%)
Logistic regression
to calculate
odds ratios
Grade
Gender
Ethnicity
Parental drinking
Peer drinking
Perceived peer drinking
Perceived peer approval of drinking
Risk taking
Unsupervised hours after school
Self-reported grades
29% of never drinkers at baseline had
initiated alcohol use at follow-up.
Brand recognition, OR =1.15
(1.02–1.29); brand recall, OR =
1.16 (1.05–1.29) and high
receptivity to alcohol marketing,
OR =1.77 (1.27–1.48) predicted
initiation. When receptivity to
alcohol marketing was controlled,
recall and recognition no longer
statistically significantly predicted
alcohol initiation
Hanewinkel and Sargent
(2008)
Germany
2005
10–16 (mean age 12.4)
Influence of exposure to
alcohol use in movies on
the initiation of alcohol
use
Exposure to Germany’s
box-office hit movies
content-coded for
on-screen alcohol use
(consumption, implied
possession and purchase of
alcohol) including viewing
on TV, DVD and video
Initiation of alcohol drinking
(unknown to parents); ever
binge drinking (5 drinks
in a row within 2 h)
Random selection of 42
schools of which 27
secondary schools
participated in
Schleswig–Holstein,
a State of Germany;
85% of all fifth–ninth
grade students
surveyed
Paper survey 3432 never drinkers 12–13 months
2708/3432
(79%)
Generalized linear
models using
log link,
adjusted for
clustering
Age
Gender
School socio-economic status
Parental drinking pattern
Parenting style
Friend drinking
School performance
TV in bedroom
TV watching time
Sensation seeking/rebelliousness
The estimated mean movie alcohol
exposure was 3.2 h, subsequently
divided into four quartiles.
Thirty-three percent of students
initiated drinking without parental
knowledge and 14% binge drinking
(five or more drinks within 2 h).
Compared with quartile 1, the
adjusted RRs (95% CI) for drinking
without parental knowledge were
1.42 (1.16–1.74) for Q2, 1.94
(1.65–2.28) for Q3 and 2.0
(1.69–2.37) for Q4; and for binge
drinking 1.44 (0.96–2.17) for Q2,
1.95 (1.27–3.0) for Q3 and 2.23
(1.48–3.37) for Q4
(Continued )
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238 Anderson et al.
Table 1 Continued
Study [reference]
Country Baseline
survey date Age group
(years)
Study objective Alcohol
marketing and media
exposure Drinking
behaviour outcome
measurea
Sample/study
design
Survey method Baseline sample
size
Follow-up
(months)
Follow-up
rate
Analysis Covariates/
confounders analysed
Outcome at follow-up
Wills et al. (2008) USA
2003 10–14
Influence of exposure to
alcohol use in movies on
ever use of alcohol, binge
drinking and
alcohol-related problems
Exposure to US box-office hit
movies content-coded for
on-screen alcohol use
(consumption, implied
possession and purchase
of alcohol)
Initiation of alcohol drinking
(unknown to parents); ever
binge drinking (5 drinks
in a row); recent binge
drinking; whether
experienced problems
caused when someone
drinks alcohol
Random longitudinal
digit dial telephone
survey of adolescents
aged 10–14 years
Telephone survey with
computer-assisted
telephone-
interviewing
procedure
6522 8, 16 and 24
5503/6522
(84%) at 8
months;
5019 (77%)
at 16
months;
4574 (70%)
at 24 months
Structural equation
modelling
analysis
Age
Gender
Ethnicity
Parenting (maternal responsiveness and
maternal monitoring)
Rebelliousness
Sensation seeking
Self-regulation
School performance
Availability of alcohol at home
Friend’s use of alcohol
Expectancy about alcohol
Parental use of alcohol
Parental education
Family structure
Family income
Urbanicity
Region
Viewed alcohol use in movies averaged
31 min at baseline, 35 min at 8
months, 30 min at 16 months.
Movie alcohol exposure at baseline
predicted alcohol use at 8 months
(coefficient =0.1). Movie alcohol
exposure between baseline and 8
months did not predict alcohol use
at 8 months (coefficient =−0.03),
but did predict alcohol problems at
16 months (coefficient =0.13).
Movie alcohol exposure between 8
and 16 months predicted alcohol use
at 16 months (coefficient =0.08).
At all times, alcohol use predicted
alcohol problems and there were
significant indirect and independent
effects of movie exposure at
baseline, 8 and 16 months on
alcohol problems at 24 months
McClure et al. (2008).
Same sample as Wills
et al. (2008) above USA
2003
10–14
Influence of ownership of
alcohol branded
merchandise (ABM) on
the initiation of alcohol
use and binge drinking
ABM (e.g. clothing,
headwear, jewellery, key
chains, shot glasses,
posters, pens) ownership
Initiation of alcohol drinking
(unknown to parents); ever
binge drinking (5 drinks
in a row)
Random digit dial
telephone survey of
adolescents aged
10–14 years
Telephone survey with
computer-assisted
telephone-
interviewing
procedure
4309 non-drinkers 8 and 16
3762/4309
(87%) at 8
months
3317/4309
(77%) at 16
months
Logistic regression
to estimate
hazards ratios
(HR)
Age
Gender
Ethnicity
Susceptibility to alcohol use (response to
peer offers, intentions and positive
expectancies)
Exposure to movie alcohol use
Peer drinking
Parent drinking
Alcohol availability at home
Sensation seeking
Rebelliousness
Parenting (maternal responsiveness and
maternal monitoring)
Extracurricular activities
School performance
TV viewing length of time
Parent report education
Household income
ABM ownership increased from 11%
at baseline to 20% at 16 months.
10% of adolescents tried drinking
for the first time and 5% tried binge
drinking during each of the two
8-month periods. There was a
reciprocal relationship between
susceptibility and ABM ownership.
Ownership of ABM at baseline did
not have a significant direct impact
on alcohol initiation at 8 months
(HR =1.41, 95% CI: 0.98–2.01),
nor on alcohol initiation between 8
and 16 months (HR =1.57, 95%
CI: 0.99–2.5), but did on initiation
of binge drinking at 8 months (HR
=1.80, 95% CI: 1.28–2.54), but not
initiation of binge drinking between
8 and 16 months (HR =1.44, 95%
CI: 0.90–2.31). New ownership of
ABM at 8 months had a significant
direct impact on alcohol initiation at
16 months (HR =2.31, 95% CI:
1.6–3.35) and initiation of binge
drinking at 16 months (HR =2.22,
95% CI: 1.49–3.32)
aAlthough some included studies measured additional outcomes, this systematic review was concerned with longitudinal studies measuring self-reported drinking behaviour at follow-up. Thus, it is the only
outcome measure detailed in this table.
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Impact of Alcohol Advertising and Media Exposure on Adolescent Alcohol Use 239
et al., 1994; Casswell and Zhang, 1998; Casswell et al., 2002),
by postal survey in one (Fisher et al., 2007) and computer-aided
telephone interview in three (Snyder et al., 2006; Sargent et al.,
2006; McClure et al., 2008; Wills et al., 2008). One study used
digital photography and GPS positioning to ascertain exposure
and self-reported questionnaire for consumption data (Pasch
et al., 2007).
Connolly et al. (1994) investigated the impact of the number
of commercial advertisements recalled at ages 13 and 15 years
on average and maximum amounts of alcohol consumed on an
occasion and on the frequency of drinking and age 18 years
amongst 667 participants in a multi-disciplinary longitudinal
study of growth and development in New Zealand. There was
no significant relationship with wine and spirit consumption.
For males, the number of commercial advertisements recalled
at age 15, but not 13, predicted average (P=0.047) and max-
imum amounts of beer (P=0.008) consumed on an occa-
sion. For females, the number of commercial advertisements
recalled at age 13, but not 15, predicted the frequency of beer
consumption (P=0.029). Although significant relationships
were detected, they could have been due to chance, since results
for more than 35 statistical tests were reported. Based on the
same cohort, Casswell and Zhang (1998) followed 630 aged
18 beer drinkers until age 21 years, and found that liking of
alcohol advertisements at age 18 predicted beer consumption
at age 21 [standardized coefficient 0.36 (SE =0.06, T=6.6)].
The measure of liking of alcohol advertising was based on
responses to three items: ‘alcohol advertisements have plenty
of action’; ‘alcohol advertisements show the type of people I
admire’; ‘Comparing alcohol adverts generally with other ads,
which of the following you most agree with?’ Based on the
same cohort, Casswell et al. (2002) studied 714 participants
who were alcohol drinkers at ages 18, 21 and 26 years, and
found that liking of alcohol advertisements at age 18 did not
predict trajectories of quantities of alcohol consumed per occa-
sion for both men and women over the age 18–26 years. Liking
of alcohol advertisements at age 18 marginally predicted being
in a higher trajectory for the frequency of drinking for men
(OR =1.6, P=0.0706), but not for women over the age 18–
26 years.
Robinson et al. (1998) studied the impact of media expo-
sure (TV, music video and videotape viewing, and computer
and video game use) on initiation of alcohol use and mainte-
nance of drinking among existing drinkers amongst 1533 14-
to 15-year olds from six public high schools in California.
During 18-months follow-up, 325 (36%) baseline non-drinkers
initiated drinking and 322 (51%) drinkers continued drinking.
Controlling for the effects of age, gender, ethnicity, and the ex-
posure to other media, each 1-h increase per day in television
viewing was associated with a 9% increased risk for initiating
drinking [OR =1.09 (1.01–1.18)]. Each 1-h increase per day
in watching music videos was associated with a 31% increased
risk for initiating drinking [OR =1.31 (1.17–1.47)]. During
18-month follow-up, 322 (51%) drinkers continued drinking.
There were no significant associations between media exposure
and the maintenance of drinking.
Stacy et al. (2004) studied the impact of TV alcohol commer-
cials on alcohol use amongst 2250 12- to 13-year-old school
children in California. At baseline, 16% reported drinking beer,
15% wine and 8% three-drink episodes in the past month. At
12-month follow-up, the prevalence was 18% reported drink-
ing beer, 20% wine and 12% three-drink episodes. At 1-year
follow-up, each one standard deviation increase in alcohol ad-
vertising exposure as measured by the watched TV shows index
was associated with a 44% increase in odds of beer drinking
(95% CI: 27–61%), a 34% increase in odds of wine/liquor
drinking (95% CI: 17–52%) and a 26% increase in odds of
consuming three or more drinks on one occasion (95% CI: 8–
48%) during the previous 30 days, controlling for covariates
related to drinking behaviour. Self-reported frequency of expo-
sure was also positively associated with beer drinking, OR =
1.21 (95% CI: 1.04–1.41), but not to wine/liquor drinking or
three or more drinks on one occasion. The cued-recall memory
test and draw-an-event memory test did not show significant
relationships with any of the outcomes, and, although the re-
lationships were in the direction of positive associations, there
was one exception, the draw-an-event memory test being as-
sociated with a reduced risk of beer use (OR =0.86, 95% CI:
0.75–0.99).
Van den Bulck and Beullens (2005) studied the impact of TV
and music video exposure on the use of alcohol whilst going out
amongst 2546 first- and fourth-year secondary school students
in Flanders, Belgium. Two-thirds of students (64%) watched
music videos at least several times a week, and about one-third
watched daily. The quantity of alcohol consumed while going
out at follow-up period related to overall TV viewing (β=
0.068, t=3.46, P=0.001) and music video exposure (β=
0.073, t=3.05, P=0.004).
Ellickson et al. (2005) studied the impact of exposure to dif-
ferent forms of alcohol advertising on the initiation of alcohol
use and the frequency of drinking amongst existing drinkers,
and whether exposure to a prevention programme mitigates any
such relationship amongst US adolescents aged 12–13 years.
Forty-eight percent of 1206 grade 7 non-drinkers consumed
alcohol during the previous year at grade 9. Bivariate rela-
tionships found a signicant impact of all types of alcohol ad-
vertisement exposure on initiation of drinking. Controlled for
main confounders, including exposure to all different types
of advertising and the impact of the prevention programme,
exposure to beer concession stands at sports or music events
predicted the drinking onset for non-drinkers in the previous
12 months (OR =1.42, P<0.05), whereas exposure to TV beer
adverts (OR =1.05, P>0.05), magazines with alcohol adver-
tisements (OR =1.12, P>0.05) and exposure to in-store
advertisements (OR =1.06, P>0.05) did not. Weekly tele-
vision viewing, controlled for alcohol advertisement exposure,
was inversely related to the onset of drinking, explained as a
‘babysitter’ effect, whereby youth who watch more TV have
fewer opportunities to drink. Seventy-seven percent of 1905
grade 7 drinkers consumed alcohol in the previous year at
grade 9. Exposure to beer concession stands at sports or music
events predicted the frequency of drinking amongst existing
drinkers in the previous 12 months (coefficient =0.09, P<
0.05), as did exposure to magazines with alcohol advertise-
ments (coefficient =0.10, P<0.05), whereas exposure to TV
beer adverts (coefficient =−0.01, P>0.05) and exposure to
in-store advertisements (coefficient =0.02, P>0.05) did not.
Snyder et al. (2006) studied the impact of alcohol adver-
tising expenditures and the degree of exposure to alcohol ad-
vertisements (TV, radio, outdoor advertising and magazines)
on alcohol use amongst 15- to 26-year olds in 24 Nielsen
local geographical media markets (a company that tracks media
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240 Anderson et al.
exposure) in USA. Individuals were randomly sampled within
households and households within media markets. Local ge-
ographical markets were systematically selected from the top
75 media markets in the US representing 79% of the popu-
lation. For those aged <21 years, each additional alcohol ad-
vertisement seen increased the number of drinks consumed in
the previous month by 1% (event rate ratio =1.01, 95% CI:
1.001–1.021). Each additional dollar per capita spent on alco-
hol advertisements increased the number of drinks consumed
in the previous month by 2.8% (event rate ratio =1.028, 95%
CI: 1.002–1.056). Seeing more or fewer advertisements in a
particular month than he or she typically saw was a predictor of
drinking (event rate ratio =1.002, 95% CI: 1.001–1.003). The
study has been criticized for the attrition in the study sample
(from 1872 at wave one to 588 at wave four), and for confusing
correlation with causality (Schultz, 2006; Smart, 2006). How-
ever, attrition was greatest among the heaviest drinking segment
of the sample, suggesting under-estimation in the findings, and
although the study provided associational, prospective evidence
on alcohol advertising effects on youth drinking, it addressed
limitations of other research, particularly the unreliability of
exposure measures based on self-reporting (Snyder and Slater,
2006).
Sargent et al. (2006) conducted a randomized school-based
cross-sectional survey, with longitudinal follow-up amongst
2406 non-drinkers at baseline 12–26 months later, to evaluate
the impact of exposure to alcohol use in popular contemporary
movies and incident alcohol drinking. Baseline median expo-
sure to alcohol use in 601 movies was 8.6 h, [inter-quartile range
(IQR) =4.6–13.5]. Out of 2406 students, 357 (15%) initiated
drinking alcohol. Exposure predicted the use of alcohol during
the follow-up period (OR =1.15, 95% CI: 1.06–1.25). The
analysis with quadratic exposure effect (OR =0.996, 95% CI:
0.992–0.999) showed that the relationship between exposure
of alcohol use in motion pictures and initiation of alcohol use
was stronger among adolescents in lower exposure categories.
Collins et al. (2007) carried out a school-based longitudi-
nal survey that evaluated the impact of exposure of alcohol
marketing on beer use amongst 1786 grade 6 students (11- to
12-year olds) 1 year later. Seventeen percent reported past year
beer drinking at grade 7. The odds ratios (95% CI) for beer
drinking were ESPN cable network (an American cable televi-
sion network dedicated to broadcasting and producing sports-
related programming 24 h a day) 1.08 (0.83–1.42); other sports
beer ads 1.19 (1.01–1.40); other TV beer ads 1.13 (0.95–1.34);
magazine reading 0.96 (0.87–1.06); radio listening 1.17 (1.00–
1.37); beer concessions 1.01 (0.91–1.13); in-store beer displays
1.03 (0.92–1.14); beer promotional items 1.76 (1.23–2.52). The
joint effect of exposure to advertisements from all sources:
F(8, 28) =8.36, P<0.0001, and from three TV sources:
F(3, 33) =3.35, P<0.05. Twenty percent of youth in the 75th
percentile of alcohol marketing exposure at grade 6 reported
past year beer drinking at grade 7, compared with 13% in the
25th percentile.
Fisher et al. (2007) conducted a non-random, prospective
cohort study to investigate the impact of ownership of or will-
ingness to use an alcohol promotional item on the initiation
of alcohol use and binge drinking (five or more alcohol drinks
over a few hours at least once over the past year). Out of 3283
girls, 611 (19%) and of 2228, 384 boys (17%) initiated alcohol
use. The odds ratio of alcohol initiation during the 12-month
period was 1.74 (1.37–2.19) for girls and 1.78 (1.36–2.33) for
boys for those who owned or were willing to use an alcohol
promotion item compared with those who did or would not.
Out of 611 drinking girls, 149 (24%) and out of 384 drinking
boys, 112 (29%) engaged in binge drinking. The odds ratio of
binge drinking amongst drinkers was 1.79 (1.16–2.77) for girls
and 0.87 (0.51–1.48) for boys for those who owned or were
willing to use an alcohol promotion item compared with those
who did or would not.
Pasch et al. (2007) investigated the impact of exposure of
outdoor alcohol advertisements within 1500 feet (457 m) of 63
Chicago school sites of 61 schools that were part of Project
Northland Chicago, a randomized controlled trial of an alco-
hol use prevention programme. On average, each school site
had 14.8 alcohol advertisements within 1500 feet (457 m). Out
of 2586, 2027 (78%) students followed up were non-users of
alcohol at baseline, but initiation of alcohol use was not re-
ported. The exposure to alcohol advertisements at sixth grade
did not predict alcohol behaviour amongst sixth grade alcohol
users and non-users at eighth grade, but, amongst sixth grade
non-users, did predict at eighth grade intentions to use (e.g. ‘do
you think you will be drinking alcohol in the next month’),
f=6.29, P=0.01; and outcome expectancies, f=4.62,
P=0.03.
Henriksen et al. (2008) used a non-random longitudinal sur-
vey to investigate the influence of alcohol advertising and pro-
motions on the initiation of alcohol use amongst 1080 non-
drinking students. Twenty-nine percent of never drinkers at
baseline had initiated alcohol use at follow-up. Brand recogni-
tion, OR =1.15 (1.02–1.29); brand recall, OR =1.16 (1.05–
1.29); and high receptivity to alcohol marketing, OR =1.77
(1.27–1.48) predicted initiation. When receptivity to alcohol
marketing was controlled, recall and recognition no longer sta-
tistically significantly predicted alcohol initiation.
Hanewinkel and Sargent (2008) studied the impact of ex-
posure to alcohol use in movies on initiation of alcohol use
amongst 3432 never drinking German adolescents. Estimated
mean movie alcohol exposure was 3.2 h, subsequently di-
vided into four quartiles. One-third (33%) of students initiated
drinking without parental knowledge and 14% initiated binge
drinking (five or more drinks within 2 h) over 12- to 13-month
follow-up. Compared with quartile 1, the adjusted RRs (95%
CI) for drinking without parental knowledge were 1.42 (1.16–
1.74) for Q2, 1.94 (1.65–2.28) for Q3, and 2.0 (1.69–2.37)
for Q4; and for binge drinking 1.44 (0.96–2.17) for Q2, 1.95
(1.27–3.0) for Q3, and 2.23 (1.48–3.37) for Q4. The un-adjusted
dose–response curve showed that the response was greatest for
relatively low exposure adolescents. Adjusting for covariates
accentuated this effect, because the attenuation was larger for
the highly exposed adolescents; this was probably due to risk
factors for alcohol use tending to cluster among the high ex-
posure adolescents who are at risk for alcohol use for reasons
other than their excessive media exposure. In another study,
Hanewinkel et al. (2008) found a positive dose–response rela-
tionship between lack of parental movie restriction and risk of
initiation of binge drinking amongst the same sample.
Wills et al. (2008) studied the impact of exposure to alco-
hol use in movies on ever use of alcohol, binge drinking and
alcohol-related problems amongst a random sample of 6522 US
10- to 14-year olds. A previous survey had shown that 83% of
movies viewed by the sample, including 57% of movies rated
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Impact of Alcohol Advertising and Media Exposure on Adolescent Alcohol Use 241
as acceptable for child viewing, depicted alcohol use, with
over half (52%), including one in five (19%) of child accept-
able movies, containing at least one alcohol brand appearance,
exposing the adolescents on average to 5.6 h of movie use
and 244 alcohol brand appearances (Cin et al., 2008). In the
impact study, viewed alcohol use in movies averaged 31 min
at baseline, 34 min at 8-month follow-up, and 30 minutes at
16-month follow-up. Movie alcohol exposure at baseline pre-
dicted alcohol use at 8 months (coefficient =0.1). Movie al-
cohol exposure between baseline and 8 months did not pre-
dict alcohol use at 8 months (coefficient =−0.03) but did
predict alcohol problems at 16 months (coefficient =0.13).
Movie alcohol exposure between 8 and 16 months predicted
alcohol use at 16 months (coefficient =0.08). At all times,
alcohol use predicted alcohol problems and there were signif-
icant indirect and independent effects of movie exposure at
baseline, 8 and 16 months on alcohol problems at 24 months.
Using the same cohort, McClure et al. (2008) studied the im-
pact of ownership of alcohol branded merchandise (ABM) on
initiation of alcohol use and binge drinking. ABM ownership
increased from 11% at baseline [the 8-month measurement pe-
riod reported by Wills et al. (2008)] to 20% 16 months later.
Ten percent of adolescents tried drinking for the first time and
5% tried binge drinking during each of the two 8-month peri-
ods. There was a reciprocal relationship between susceptibility
to alcohol use (three survey items that assessed response to
peer offers, intentions and positive expectancies) and ABM
ownership. The ownership of ABM at baseline did not have a
significant direct impact on alcohol initiation at 8 months (HR
=1.41, 95% CI: 0.98–2.01), nor on alcohol initiation between
8 and 16 months (HR =1.57, 95% CI: 0.99–2.5), but did on
initiation of binge drinking at 8 months (HR =1.80, 95% CI:
1.28–2.54), but not on initiation of binge drinking between 8
and 16 months (HR =1.44, 95% CI: 0.90–2.31). New own-
ership of ABM at 8 months had a significant direct impact on
alcohol initiation at 16 months (HR =2.31, 95% CI: 1.6–3.35)
and initiation of binge drinking at 16 months (HR =2.22, 95%
CI: 1.49–3.32).
DISCUSSION
This review identified 13 longitudinal studies that have investi-
gated the relationship between adolescent exposure to alcohol
advertising and promotion and drinking. Twelve of the thirteen
studies found evidence that such exposure predicts both the
onset of drinking amongst non-drinkers and increased levels of
consumption among existing drinkers. In each case, researchers
controlled for key confounding variables, including family and
peer drinking, and relevant demographic variables. The study
that did not find an effect on behaviour examined the impact
of exposure to outdoor advertising placed within 453 metres
of schools (Pasch et al., 2007). This study found an impact of
exposure on intentions to drink in the next month.
Seven (Robinson et al., 1998; Ellickson et al., 2005; Sargent
et al., 2006; Hanewinkel and Sargent, 2008; Henriksen et al.,
2008; Wills et al., 2008) of the eight studies that measured the
impact of exposure on initiation of drinking included an inter-
val or continuous level exposure measure, and all seven studies
found a dose–response relationship. For example, in the study
by Hanewinkel and Sargent (2008), there was a dose–response
relationship between hours of movie alcohol exposure and initi-
ation of drinking without parental knowledge and binge drink-
ing, steeper for low hours of exposure than higher; the study by
Sargent et al. (2006) found a linear association between movie
exposure portraying alcohol use and onset of alcohol use from
zero incidence at zero exposure to an incidence of 20% when
exposure reached 11 h. Two (Robinson et al., 1998; Ellickson
et al., 2005) of the three studies that measured the impact of ex-
posure on maintenance of drinking amongst baseline drinkers
included an interval level exposure measure, one of which
(Ellickson et al., 2005) found a dose–response relationship with
the frequency of drinking. Six of the seven studies (Connolly
et al., 1994; Stacy et al., 2004; Van den Bulck and Beullens
2005; Sargent et al., 2006; Snyder et al., 2006; Pasch et al.,
2007) on alcohol use of the total sample of non-drinkers and
drinkers at baseline included an interval level exposure mea-
sure, and all studies found a dose–response relationship. For
example, in the study by Stacy et al. (2004), each one standard
deviation increase in alcohol advertising exposure was asso-
ciated with a 44% increase in odds of beer drinking, a 34%
increase in odds of wine/liquor drinking and a 26% increase in
odds of consuming three or more drinks on one occasion dur-
ing the previous 30 days; in the study by Snyder et al. (2006)
of US individuals aged 15–26 years, for each additional ad-
vertisement seen, the number of drinks consumed increased by
1%, and for each additional dollar spent per capita on alcohol
advertisements, the number of drinks consumed increased by
3%; in the study by Collins et al. (2007), youth in the 75th
percentile of alcohol marketing exposure at grade 6 were 50%
more likely to be drinking at grade 7 than youth in the 25th per-
centile; finally, in the study by Pasch et al. (2007), the greater
the exposure to outdoor advertising near schools, the greater
the intention to drink (although, this study found no impact on
drinking behaviour, possibly due to a lack of statistical power).
It is clear, therefore, that longitudinal studies demonstrate that
alcohol advertising, amongst other factors, encourages youth
drinking.
As explained in the introduction, this review focused on lon-
gitudinal studies because the dimension of time makes them
a particularly powerful way of untangling cause and effect.
Nonetheless, cross-sectional studies, although only providing
a snapshot of advertising exposure and levels of drinking, have
consistently reported correlations between increased exposure
and greater likelihood of current drinking (see Kuo et al., 2003;
McClure et al., 2006; Hanewinkel et al., 2007; Hurtz et al.,
2007). For example, the cross-sectional study of Hanewinkel
et al. (2007) found a dose–response relationship between ex-
posure to alcohol use from popular contemporary movies and
alcohol use without parental knowledge and binge drinking in
Germany. Therefore, despite their inherently weaker design,
cross-sectional studies do corroborate the effects found by lon-
gitudinal studies. Advertising influences youth drinking.
Furthermore, both cross-sectional and longitudinal studies
are likely to underestimate any effects, because they focus prin-
cipally on advertising, which is only a part of the promotional
effort that is put behind alcohol products. As noted in the intro-
duction, for instance, the most recent estimate for expenditure
on alcohol advertising in the UK is actually only a quarter
of that for alcohol promotion as a whole. While some of the
selected studies looked at promotion (e.g. merchandising) as
well as advertising, none looked at the cumulative impact that
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242 Anderson et al.
a coherent and fully fledged ‘marketing communications mix’
(Kotler et al., 2005) may have. This communication effort is,
in turn, only part of a company’s marketing strategy that also
includes price promotions, packaging, distribution and product
design.
Three limitations should be considered in interpreting the re-
sults of this review. First, it included 13 studies that are compar-
atively heterogeneous. We controlled for quality by including
only longitudinal studies that followed a cohort of individu-
als. We did not attempt to quantify the quality of other study
characteristics. One of the limitations of observational stud-
ies is the relationship between the variables of interest and
other confounding factors. Whilst all the studies to some ex-
tent, measured and controlled for other variables likely to be
associated with drinking uptake, it is impossible to know if all
relevant variables were measured and adjusted for, and thus
not possible to know if residual confounder influenced the
analysis.
Second, there is a possibility that publication bias may have
affected the studies identified for inclusion. Other cohort stud-
ies that examined the relationship between advertising exposure
and youth drinking but found no association may not have been
published or may have been published with no reference to ad-
vertising and so would not be retrieved by our search strategy.
Third, the way in which exposure to advertising was opera-
tionalized varied across studies (e.g. receptivity, influence and
awareness). An important methodological challenge in evaluat-
ing evidence on the effect of advertising on drinking behaviour
of adolescents is to achieve standardization and consistency in
measuring of exposure to alcohol advertising (for an example
of standardization, see Jernigan and Ross (2007)).
CONCLUSION
This review found consistent evidence to link alcohol adver-
tising with the uptake of drinking among non-drinking young
people, and increased consumption among their drinking peers.
This evidence comes from high quality longitudinal studies and
is corroborated by weaker cross-sectional ones. Because it fo-
cuses on mass media advertising, it almost certainly underes-
timates the impact of wider alcohol promotion and marketing.
These findings are not surprising: exactly the same conclusions
have emerged from reviews of the impact of tobacco (Lovato
et al., 2003) and food (Hastings et al., 2003) marketing on
young people.
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... Evidence suggests that children, adolescents and young adults are exposed to and influenced by marketing of unhealthy products (Anderson, de Bruijn, Angus, Gordon, & Hastings, 2009). Internet and social media provides marketers with a new platform to spread their messages. ...
... Adolescents get fascinated with the images and models and try to imitate them. Alcohol advertising is associated with drinking initiation (Anderson, de Bruijn, Angus, Gordon, & Hastings, 2009) and the evidence shows that alcohol initiation during childhood or adolescence is associated with problematic drinking in adulthood. Major steps should be taken to regulate the alcohol marketing in traditional as well as digital media. ...
Chapter
Full-text available
An individual sees approximately 3000 ads per day and the number is not likely to reduce anytime soon. Hence we explore the various effects of advertising strategies employed on the individual. It addresses the various forms of advertisements that an individual is exposed to in their day-today lives as well as effects of the various persuasive psychological techniques on the psyche of the individual. These include the use of color, heuristics, emotional conditioning and personalization in advertisements. It also illustrates the positive as well as negative effects these strategies can have on the thoughts and behavior of an individual. The positive benefits of the advertisement include the societal, social, economic, cross-cultural and National benefits. They can challenge social norms, raise awareness on thought provoking issues and create positive role models as well as give opportunity to human creativity in the fields of comedy, drama and music. However it can also induce FoMo (Fear of Missing Out) and lead to promotion of stereotypes, development of negative body image and unhealthy habits, as well as create unrealistic expectations. All these negative effects can lead to severe environmental, behavioral, mental and economic problems. To counter these negative effects the paper proposes several techniques like increasing representation of racial minorities and LGBTQ community in advertisements, promoting body positive campaigns, showcasing anti-stereotypical scenes and stories in advertisements and using conditioning to propagate healthier lifestyle choices among the population.
... There is overwhelming evidence that children, adolescents and young adults are exposed to and influenced by marketing of unhealthy products in traditional media (Anderson, de Bruijn, Angus, Gordon, & Hastings, 2009;Cairns, Angus, & Hastings, 2009;National Cancer Institute, 2008). The Internet provides marketers with an array of new channels and tools for disseminating their messages. ...
... There is increasing evidence that alcohol initiation during childhood or adolescence is associated with more problematic drinking in adulthood; and that alcohol advertising is associated with drinking initiation (Anderson et al., 2009;Smith & Foxcroft, 2009). Thus, one of the primary aims of regulatory restrictions on broadcasted alcohol marketing is to reduce youth exposure to alcohol marketing per se and/or to particular messages or appeals in alcohol advertising (Jones & Gordon, 2013). ...
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p>Misinformation studies have focused on traditional news formats, overlooking prevalent visual forms such as political memes. However, if citizens systematically respond differently to claims conveyed by memes, their effects on the broader information ecosystem may be underestimated. This study (N = 598) uses a 2 (partisan news/meme) X 2 (oppositional/congenial) design to examine perceptions of political memes’ influence on self and others, and the format’s effect on willingness to engage in corrective discussion. Results indicate that meme format enhances individuals’ tendency to see messages as less influential on oneself than on others, and individuals are less likely to correct claims presented in meme format. This decrease in corrective intent is mediated by the decrease in perceived influence over self. These findings have practical implications for those combating inaccurate claims in the public sphere, and call attention to the role format differences may play in the psychological processes underlying political discussion as it becomes increasingly mediated and visual.</p
... The unrefined online media exposure of adolescents had a significant impact on emotions such as physical dissatisfaction [43]. Anyone can access online content that includes stimulating content, drinking, and advertising, and there are no age restrictions or special regulations [24,25,44,45]. The lower the grade level, the harder it may be to recognize that the advertisement notation is an advertisement [46]. ...
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Food-related content varies widely and is increasingly popular. Using various media, teenagers can easily access food content, which could affect they eating habits. This study was conducted to confirm the effects of watching motivation on the relationship between food content watching time and eating habits among adolescents in Seoul, Korea. Exactly 806 participants were surveyed about their food content watching status, including watching time and watching motivation. The Nutrition Quotient for adolescents (NQ-A) questionnaire was used to confirm eating habits. Exploratory factor analysis was conducted to classify watching motivation’s subfactors. A parallel multimedia model was used to analyze the effect of watching motivation on the relationship between food content watching time and eating habits. As a result of this study, following the factor analysis, watching motivation was classified into information acquisition, emotional satisfaction, and enjoyment. The influence of food content watching time on NQ-A scores through information acquisition motivation was positively significant, whereas that through emotional satisfaction motivation was negatively significant. Enjoyment motivation did not indirectly affect the relationship between food content watching time and NQ-A scores. Hence, attention should be paid to these mediating factors when analyzing the relationship between watching food-related content and eating habits. Developing and distributing content that meets viewing motivations should help improve adolescents’ eating habits.
... Several factors are associated with alcohol use in young people, including social contexts both inside and outside the home, as well as built environment and media environments [8,[12][13][14][15]. Increasing evidence shows that neighbourhood availability of alcohol is associated with alcohol use in adolescence [16][17][18][19][20][21], including early adolescence (12-14 years) [22][23][24]. ...
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Background Alcohol use is a leading cause of harm in young people and increases the risk of alcohol dependence in adulthood. Alcohol use is also a key driver of rising health inequalities. Quantifying inequalities in exposure to alcohol outlets within the activity spaces of pre-adolescent children—a vulnerable, formative development stage—may help understand alcohol use in later life. Methods GPS data were collected from a nationally representative sample of 10-and-11-year-old children (n = 688, 55% female). The proportion of children, and the proportion of each child’s GPS, exposed to alcohol outlets was compared across area-level income-deprivation quintiles, along with the relative proportion of exposure occurring within 500 m of each child’s home and school. Results Off-sales alcohol outlets accounted for 47% of children’s exposure, which was higher than expected given their availability (31% of alcohol outlets). The proportion of children exposed to alcohol outlets did not differ by area deprivation. However, the proportion of time children were exposed showed stark inequalities. Children living in the most deprived areas were almost five times more likely to be exposed to off-sales alcohol outlets than children in the least deprived areas (OR 4.83, 3.04–7.66; P < 0.001), and almost three times more likely to be exposed to on-sales alcohol outlets (OR 2.86, 1.11–7.43; P = 0.03). Children in deprived areas experienced 31% of their exposure to off-sales outlets within 500 m of their homes compared to 7% for children from less deprived areas. Children from all areas received 22—32% of their exposure within 500 m of schools, but the proportion of this from off-sales outlets increased with area deprivation. Conclusions Children have little control over what they are exposed to, so policies that reduce inequities in alcohol availability should be prioritised to ensure that all children have the opportunity to lead healthy lives.
... Adolescents exposed to alcohol advertising are more likely to start consuming alcohol earlier and drink large amounts [39]. A systematic review also demonstrated the relationship between alcohol advertisements and increased consumption among adolescents [40]. These findings indicate the need to limit alcohol advertisements in the media or ensure they portray their adverse effects. ...
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Background Substance use among school-going adolescents increases the risk of developing mental disorders, addiction, and substance use disorders. These may lead to poor academic performance and reduced productivity, which affects adolescent lives. The study aimed to determine the prevalence of substance use and associated factors among secondary school adolescents in the Kilimanjaro region, northern Tanzania. Methodology The study used secondary data from a cross-sectional survey of adolescents aged 10–19 years from public secondary schools in the Kilimanjaro Region, northern Tanzania. Substance use was measured using the Global School Health Survey (GSHS) questionnaire. Categorical variables were summarized using frequencies and percentages, while numerical variables used mean and standard deviation. Multivariable logistic regression models were used to obtain odds ratios (OR) and 95% confidence intervals (CI) to determine risk factors associated with lifetime and current (within the past 30 days preceding the survey) substance use. Results The lifetime and current prevalence of substance use among 3224 adolescents was 19.7% and 12.8%, respectively, while alcohol and cigarettes were commonly used. Female adolescents had lower odds of current substance use (OR = 0.63, 95%CI 0.50–0.80). Higher odds of current substance use were among adolescents who have ever had sex (OR = 4.31, 95%CI 3.25–5.71), ever engaged in a physical fight (OR = 2.19, 95%CI 1.73–2.78), ever been bullied (OR = 1.55, 95%CI 1.16–2.05), always seen alcohol advertisements (OR = 1.87, 95%CI 1.37–2.53), and adolescents whose parent/guardians rarely understood their problems (OR = 1.38, 95% CI = 1.03–1.85). Adolescents whose classmates always showed social support had lower odds of current substance use (AOR = 0.71, 95%CI 0.53–0.97). Similar factors were associated with lifetime substance users. Conclusion The study reflects a high prevalence of substance use among adolescents in the Kilimanjaro region. Alcohol and cigarette are the most prevalent substances used. Regulatory measures are essential to limit alcohol advertisements that are media portrayed. Efforts are needed to reduce risk behaviors, such as physical violence and bullying, through peer support groups/clubs in school environments.
... As per the Cable TV Networks Amendment Bill 2000, liquor and tobacco advertisements are banned in India, but surrogate advertising by alcohol companies remains a major issue. Evidence suggests that alcohol promotion and advertisement increase the likelihood of alcohol use amongst adolescents 37 . Peer pressure, clever surrogate advertising and innovative targeted marketing of young adults, with the involvement of social media, are thought to be the key factors that trigger the use of alcohol by the youth of our country. ...
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Introduction Driving under the influence of cannabis (DUIC) remains a concern among youth. Mass media, consisting of formal campaigns (i.e., coordinated efforts to raise awareness or provide education) and media advocacy (i.e., communications not part of a formal campaign), can aid in youth DUIC prevention. This study aimed to investigate the use of mass media in DUIC messaging. Methods A systematic search was conducted across six electronic databases and gray literature. Studies were included if they: were published in English, involved populations in Canada or the U.S., utilized mass media campaigns or mass media advocacy, and had messaging related to DUIC. Results The search resulted in 173 unique records, of which nine were included. Four mass media campaigns were identified that utilized several forms of media (e.g., radio, TV, social media). Media advocacy was described in three peer-reviewed articles that analyzed the content of DUIC messaging in the news or social media. Conclusions The current literature has few mass media campaigns related to DUIC. Of these, reports describing campaigns lacked a description of the use of theory, outcomes, and evaluation. In addition, media advocacy has been used to provide messaging related to cannabis, although limited content pertained to DUIC.
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Introduction: This study examined the extent to which industry and non-industry actors draw from the same (vs. different) bodies of peer-reviewed evidence in submissions to alcohol advertising policy consultations. Methods: Submissions (n = 71) to two Australian public consultations about alcohol advertising policy were classified as submitted by industry or non-industry actors. Details of cited journal articles were extracted. Articles were coded according to whether: (i) cited in industry and/or non-industry actor submission/s; (ii) findings were supported or contested by the submitter; and (iii) the article was a systematic review. The most frequently cited first authors were identified. Results: In total, 126 articles were cited in 45 industry actor submissions and 159 articles were cited in 26 non-industry actor submissions. Only seven articles were cited by both groups. Authors cited most frequently by one actor group were rarely cited by the other group. The first author most cited by industry actors declared alcohol industry links in two articles. Industry actors cited three systematic reviews (and contested the findings); non-industry actors cited (and supported) seven systematic reviews. Discussion and conclusion: There was a low degree of overlap in peer-reviewed evidence cited by industry and non-industry actors in submissions to Australian alcohol advertising policy consultations. Industry actors often omitted or contested high-quality evidence. Industry actors placed greater emphasis on evidence published by one industry-linked researcher than on evidence from systematic reviews and researchers with no apparent conflicts of interest. The findings raise questions about the suitability of industry actors to participate in evidence-informed policymaking processes.
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Hazardous alcohol consumption causes approximately 4% of deaths globally, constituting one of the leading risk factors for the burden of the disease worldwide. Alcohol has several health consequences, such as alcohol-associated liver disease, hepatocellular carcinoma, non-liver neoplasms, physical injury, cardiac disease, and psychiatric disorders. Alcohol misuse significantly affects workforce productivity, with elevated direct and indirect economic costs. Due to the high impact of alcohol consumption on the population, public health has led to developing a range of strategies to reduce its harmful effects. Regulatory public health policies (PHP) for alcohol can exist at the global, regional, international, national, or subnational levels. Effective strategies incorporate a multilevel, multicomponent approach, targeting multiple determinants of drinking and alcohol-related harms. The World Health Organization categorizes the PHP into eight categories: national plan to fight the harmful consequences of alcohol, national license and production and selling control, taxes control & pricing policies, limiting drinking age, restrictions on alcohol access, driving-related alcohol policies, control over advertising and promotion, and government monitoring systems. These policies are supported by evidence from different populations, demonstrating that determinants of alcohol use depend on several factors such as socioeconomic level, age, sex, ethnicity, production, availability, marketing, and others. Although most policies have a significant individual effect, a higher number of PHP are associated with a lower burden of disease due to alcohol. The excessive consequences of alcohol constitute a call for action, and clinicians should advocate for developing and implementing new PHP on alcohol consumption.
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Objective: This article reviews the literature on adolescent brain development and considers the impact of these neural alterations on the propensity to use and misuse alcohol. Method: Neural, behavioral and hormonal characteristics of adolescents across a variety of species were examined, along with a review of the ontogeny of ethanol responsiveness, tolerance development and stress/alcohol interactions. Results: The adolescent brain is a brain in transition. Prominent among the brain regions undergoing developmental change during adolescence in a variety of species are the prefrontal cortex and other forebrain dopamine projection regions, stressor-sensitive areas that form part of the neural circuitry modulating the motivational value of alcohol and other reinforcing stimuli. Along with these characteristic brain features, adolescents also exhibit increased stressor responsivity and an altered sensitivity to a variety of ethanol effects. Findings are mixed to date as to whether exposure to ethanol during this time of rapid brain development alters neurocognitive function and later propensity for problematic ethanol use. Conclusions: Developmental transformations of the adolescent brain may have been evolutionarily advantageous in promoting behavioral adaptations to avoid inbreeding and to facilitate the transition to independence. These brain transformations may also alter sensitivity of adolescents to a number of alcohol effects, leading perhaps in some cases to higher intakes to attain reinforcing effects. These features of the adolescent brain may also increase the sensitivity of adolescents to stressors, further escalating their propensity to initiate alcohol use. Additional investigations are needed to resolve whether ethanol use during adolescence disrupts maturational processes in ethanol-sensitive brain regions.
The effects of advertising on alcohol consumption (and alcohol abuse) are controversial, and research on the subject has produced mixed results. An economic theory underlying the general relationship between advertising and consumption can help explain this variance, however. Studies that use national data on annual alcohol advertising expenditures measure advertising at a high level with little yearly change and are likely to find no effect on consumption. In contrast, studies that use local-level data measured over the course of a year find wide variation in the level of advertising and are likely to conclude that alcohol advertising significantly increases alcohol consumption. To mitigate consumption increases, some countries and localities have tested alcohol advertising bans or counter advertising campaigns. Studies of advertising bans show a decrease in alcohol consumption to some degree when intervening factors are controlled. Counter advertising likewise reduces alcohol consumption. Thus, policymakers can choose from various forms and combinations of these strategies to curb consumption and, presumably, alcohol abuse.
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Public health campaigners have criticized the British system for the regulation of alcohol advertising, which relies on several distinct codes of practice governing different media. This paper looks at the options for change, in the light of the economic, political and technological factors that will influence the development of the UK's alcohol advertising policy in the 1990s. The available evidence on the costs and benefits of alternative policies is reviewed, drawing on the Addiction Research Centre's multi-disciplinary programme of work undertaken at the Universities of Hull and York. While there is some evidence that a ban on alcohol advertising would have a marginal effect on overall consumption, it is argued that legislative intervention is no longer feasible. Technological innovation and global pressures for deregulation have made it difficult for national governments to ban the advertising of any one product. At the same time, however, it is feared that commercial pressures resulting from the introduction of satellite broadcasting and the increased competition for advertising revenues could undermine the existing self-regulatory system and exert a downwards pressure on advertising standards. It is suggested that the way forward lies in developing a strong self-regulatory system throughout Europe.
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Stenhouse Building 173 Cathedral Street Glasgow G4 0RQ Tel: 0141-548 3192 Fax: 0141-553 4118 http://www.csm.strath.ac.uk ... For administrative support: Susan Anderson and Aileen Paton. ... Children ? A Systematic Review Of The Evidence ... Narrative Review 2: The ...
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UI - 22744063DA - 20030715IS - 0003-990XLA - engPT - Journal ArticleSB - AIMSB - IM
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Data from a longitudinal study carried out in Dunedin, New Zealand, were used to investigate associations between alcohol consumption at age 18 years and alcohol-related mass media communications recalled at ages 13 and 15 years. The respondents’ recall of alcohol-related mass media material were categorized as: commercial alcohol advertising, alcohol moderation messages or the portrayal of alcohol in entertainment. An additional media variable was the number of hours spent watching television. Non-media variables, such as peer approval of drinking, living situation and occupation (all at age 18 years) were also included in the analyses. The period between the interviews at ages 13 and 15 years saw an increase in the broadcast of commercial alcohol advertisements on television in New Zealand and this was reflected in an increase in the proportion of the mass media material recalled which was categorized as commercial advertising. At age 15 years television advertising, mostly for beer companies, was the predominant material recalled. No relationships were found between the commercial advertising and wine and spirits consumption, among either men or women, but young women who had watched more hours of television drank more wine/spirits. Among women there were two unexpected negative relationships between recall of alcohol in the media at age 13 years and beer consumption. However, among men there was a consistent positive relationship such that those who had recalled more alcohol advertisements at age 15 years drank larger quantities of beer at age 18 years.