Evidence map›Paper›PMID 33140699›Full record

ReviewHealth psychology review2022

Glassware design and drinking behaviours: a review of impact and mechanisms using a new typology of drinking behaviours.

Tess Langfield, Rachel Pechey, Mark A Pilling, Theresa M Marteau

Abstract readReview
In one paragraph

Review in Health psychology review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Tess LangfieldBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0003-0552-1019
Rachel PecheyBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-6558-388X
Mark A PillingBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-7446-6597
Theresa M MarteauBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0003-3025-1129

Funding

Medical Research Council MR/N013433/1
6 · The paper itself

Abstract

Much of the global burden of disease is attributable to unhealthy behaviour, including excessive consumption of alcohol and sugar-sweetened beverages. Developing effective methods to change these drinking behaviours could inform policies to improve population health. In line with an increasing interest in environmental-level interventions - i.e., changing the environment in which a behaviour occurs in order to change the behaviour of interest - this review first describes the existing evidence of the impact of glassware design (including capacity and shape) on drinking behaviours (e.g., at the 'micro' level - including sip size, as well as at the macro level - including amount consumed). The roles of two sets of possible underlying mechanisms - perception and affordance - are also explored. Finally, this review sets out a provisional typology of drinking behaviours to enable more systematic approaches to the study of these behaviours. While there is a paucity of evidence - in particular on measures of consumption - this growing evidence base suggests promising targets for novel interventions involving glassware design to reduce the consumption of drinks that harm health.

Indexed as

Alcohol DrinkingDrinking BehaviorHumansaffordanceChoice architecturedrinkingglassware designmicro-drinking behavioursperceptual effects

Identifiers

PMID33140699
PMCPMC8884253

What OpenQuestion holds

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Registered trials

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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.