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@ARTICLE{McDermott:276760,
author = {K. T. McDermott and C. Noake and R. Wolff and C. Espina and
J. Foucaud and K. Steindorf$^*$ and J. Schüz and M. A.
Thorat and M. Weijenberg and L. Bauld and J. Kleijnen},
title = {{D}igital interventions to moderate alcohol consumption in
young people: a {C}ancer {P}revention {E}urope overview of
systematic reviews.},
journal = {Frontiers in digital health},
volume = {5},
issn = {2673-253X},
address = {Lausanne},
publisher = {Frontiers Media},
reportid = {DKFZ-2023-01141},
pages = {1178407},
year = {2023},
abstract = {Strategies to reduce alcohol consumption would contribute
to substantial health benefits in the population, including
reducing cancer risk. The increasing accessibility and
applicability of digital technologies make these powerful
tools suitable to facilitate changes in behaviour in young
people which could then translate into both immediate and
long-term improvements to public health.We conducted a
review of systematic reviews to assess the available
evidence on digital interventions aimed at reducing alcohol
consumption in sub-populations of young people [school-aged
children, college/university students, young adults only
(over 18 years) and both adolescent and young adults (<25
years)].Searches were conducted across relevant databases
including KSR Evidence, Cochrane Database of Systematic
Reviews (CDSR) and Database of Abstracts of Reviews of
Effects (DARE). Records were independently screened by title
and abstract and those that met inclusion criteria were
obtained for full text screening by two reviewers. Risk of
bias (RoB) was assessed with the ROBIS checklist. We
employed a narrative analysis.Twenty-seven systematic
reviews were included that addressed relevant interventions
in one or more of the sub-populations, but those reviews
were mostly assessed as low quality. Definitions of 'digital
intervention' greatly varied across systematic reviews.
Available evidence was limited both by sub-population and
type of intervention. No reviews reported cancer incidence
or influence on cancer related outcomes. In school-aged
children eHealth multiple health behaviour change
interventions delivered through a variety of digital methods
were not effective in preventing or reducing alcohol
consumption with no effect on the prevalence of alcohol use
[Odds Ratio (OR) = 1.13, $95\%$ CI: 0.95-1.36, review rated
low RoB, minimal heterogeneity]. While in adolescents and/or
young adults who were identified as risky drinkers, the use
of computer or mobile device-based interventions resulted in
reduced alcohol consumption when comparing the digital
intervention with no/minimal intervention (-13.4 g/week,
$95\%$ CI: -19.3 to -7.6, review rated low RoB, moderate to
substantial heterogeneity).In University/College students, a
range of E-interventions reduced the number of drinks
consumed per week compared to assessment only controls
although the overall effect was small [standardised mean
difference (SMD): -0.15, $95\%$ CI: -0.21 to -0.09].
Web-based personalised feedback interventions demonstrated a
small to medium effect on alcohol consumption (SMD: -0.19,
$95\%$ CI: -0.27 to -0.11) (review rated high RoB, minimal
heterogeneity). In risky drinkers, stand-alone Computerized
interventions reduced short (SMD: -0.17, $95\%$ CI: -0.27 to
-0.08) and long term (SMD: -0.17, $95\%$ CI: -0.30 to -0.04)
alcohol consumption compared to no intervention, while a
small effect (SMD: -0.15, $95\%$ CI: -0.25 to -0.06) in
favour of computerised assessment and feedback vs.
assessment only was observed. No short-term (SMD: -0.10,
$95\%$ CI: -0.30 to 0.11) or long-term effect (SMD: -0.11,
$95\%$ CI: -0.53 to 0.32) was demonstrated for computerised
brief interventions when compared to counsellor based
interventions (review rated low RoB, minimal to considerable
heterogeneity). In young adults and adolescents, SMS-based
interventions did not significantly reduce the quantity of
drinks per occasion from baseline (SMD: 0.28, $95\%$ CI:
-0.02 to 0.58) or the average number of standard glasses per
week (SMD: -0.05, $95\%$ CI: -0.15 to 0.05) but increased
the risk of binge drinking episodes (OR = 2.45, $95\%$ CI:
1.32-4.53, review rated high RoB; minimal to substantial
heterogeneity). For all results, interpretation has
limitations in terms of risk of bias and
heterogeneity.Limited evidence suggests some potential for
digital interventions, particularly those with feedback, in
reducing alcohol consumption in certain sub-populations of
younger people. However, this effect is often small,
inconsistent or diminishes when only methodologically robust
evidence is considered. There is no systematic review
evidence that digital interventions reduce cancer incidence
through alcohol moderation in young people. To reduce
alcohol consumption, a major cancer risk factor, further
methodologically robust research is warranted to explore the
full potential of digital interventions and to form the
basis of evidence based public health initiatives.},
subtyp = {Review Article},
keywords = {alcohol consumption (Other) / digital health, cancer
(Other) / evidence assessment (Other) / evidence synthesis
(Other) / public health (Other) / systematic reviews
(Other)},
cin = {C110},
ddc = {610},
cid = {I:(DE-He78)C110-20160331},
pnm = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
pid = {G:(DE-HGF)POF4-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:37288171},
pmc = {pmc:PMC10243367},
doi = {10.3389/fdgth.2023.1178407},
url = {https://inrepo02.dkfz.de/record/276760},
}