Evidence map›Paper›PMID 32934495›Full record

ArticleNordisk alkohol- & narkotikatidskrift : NAT2017

The cultural aspect: How to measure and interpret epidemiological data on alcohol-use disorders across cultures.

Jürgen Rehm, Robin Room

Abstract read
In one paragraph

Article in Nordisk alkohol- & narkotikatidskrift : NAT, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  7. Review
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  11. Review
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  14. Article
  15. ICD-11 for Alcohol Use Disorders: Not a Convincing Answer to the Challenges.Alcoholism, clinical and experimental research · 2019
    Article
  16. Alcohol use and dementia: a systematic scoping review.Alzheimer's research & therapy · 2019
    Article
  17. Comment on Rehm and Room.Nordisk alkohol- & narkotikatidskrift : NAT · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jürgen RehmCentre for Addiction and Mental Health, Canada University of Toronto, Canada.ORCID 0000-0001-5665-0385
Robin RoomLa Trobe University, Australia Stockholm.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo examine the cultural impact on the diagnosis of alcohol-use disorders using European countries as examples.

designNarrative review.

resultsThere are strong cultural norms guiding heavy drinking occasions and loss of control. These norms not only indicate what drinking behaviour is acceptable, but also whether certain behaviours can be reported or not. As modern diagnostic systems are based on lists of mostly behavioural criteria, where alcohol-use disorders are defined by a positive answer on at least one, two or three of these criteria, culture will inevitably co-determine how many people will get a diagnosis. This explains the multifold differences in incidence and prevalence of alcohol-use disorders, even between countries where the average drinking levels are similar. Thus, the incidence and prevalence of alcohol-use disorders as assessed by surveys or rigorous application of standardised instruments must be judged as measuring social norms as well as the intended mental disorder.

conclusionsCurrent practice to measure alcohol-use disorders based on a list of culture-specific diagnostic criteria results in incomparability in the incidence, prevalence or disease burden between countries. For epidemiological purposes, a more grounded definition of diagnostic criteria seems necessary, which could probably be given by using heavy drinking over time.

Indexed as

alcoholalcohol-use disordersculturemeasurementuniversality

Identifiers

PMID32934495
PMCPMC7450835

What OpenQuestion holds

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.