Evidence map›Paper›PMID 26285191›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2015

An adaptation of the Yesterday Method to correct for under-reporting of alcohol consumption and estimate compliance with Canadian low-risk drinking guidelines.

Jinhui Zhao, Tim Stockwell, Gerald Thomas

Abstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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.

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Jinhui ZhaoUniversity of Victoria. zhaoj@uvic.ca.
Tim Stockwell
Gerald Thomas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate compliance with Canada's Low-Risk Alcohol Drinking Guidelines (LRDG) in different groups of drinkers after adjusting for underreporting of alcohol use, and to identify which types of beverage are more likely to be consumed when LRDGs are exceeded.

methodOur sample consisted of 43,242 Canadians aged 15 and over who had responded to the Canadian Alcohol and Drug Use Monitoring Survey, 2008-2010. Consumption in excess of LRDG was estimated for subgroups of drinkers after adjustment for under-reporting of consumption. Responses to Beverage-Specific Yesterday questions were used to make age-, gender- and beverage-specific corrections to under-reporting for data from the last 12 months Quantity-Frequency questions. Statistics Canada data on sales of beer, wine and spirits were also incorporated into the adjusted calculations.

resultsAfter adjustment for under-reporting, non-compliance with weekly LRDG limits to reduce risk of long-term harm increased from 6.8% to 27.3% among drinkers, and from 42.3% to 68.3% with respect to drinks. Non-compliance with daily LRDG limits to reduce risk of short-term harm increased from 16.7% to 38.6% among drinkers, and from 53.3% to 80.5% with respect to drinks. After adjustment, over 92% of total consumption occurred on risky drinking days among underage Canadians and over 91% of consumption reported by young adults took place during risky drinking occasions. Wine was least likely to be drunk in a risky fashion, spirits were the most likely.

conclusionWhen corrections for under-reporting are made, most Canadian alcohol consumption occurs on days when national LRDG are exceeded, especially for underage and young adult drinkers.

Indexed as

Guidelines as TopicAdolescentAdultAgedAlcohol DrinkingBeveragesCanadaFemaleGuideline AdherenceHealth SurveysHumansMaleMiddle AgedRisk AssessmentYoung AdultalcoholSurveyyesterday drink

Identifiers

PMID26285191
PMCPMC6972349

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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.