Evidence map›Paper›PMID 33472724›Full record

ArticlePublic health nutrition2021

Intentions to reduce sugar-sweetened beverage consumption: the importance of perceived susceptibility to health risks.

Joanne Dono, Kerry A Ettridge, Melanie Wakefield, Simone Pettigrew, John Coveney, David Roder, Sarah Durkin, Gary Wittert, Jane Martin, Caroline L Miller

Abstract read
In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Exploring the Potential for Graphic Warning Labels to Reduce Intentions to Consume Energy Drinks.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Impact of Health Risk Perception on Blockchain Traceable Fresh Fruits Purchase Intention in China.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
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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

10 authors.

Joanne DonoHealth Policy Centre, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA5000, Australia.ORCID 0000-0002-7428-8639
Kerry A EttridgeHealth Policy Centre, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA5000, Australia.ORCID 0000-0001-7928-9692
Melanie WakefieldCentre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Australia.ORCID 0000-0002-6183-5699
Simone PettigrewFood Policy, The George Institute for Global Health, Sydney, Australia.ORCID 0000-0003-3921-1174
John CoveneyCollege of Nursing and Health Sciences, Flinders University, Adelaide, Australia.ORCID 0000-0001-8237-0248
David RoderCancer Epidemiology and Population Health, University of South Australia, Australia.ORCID 0000-0001-6442-4409
Sarah DurkinCentre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Australia.ORCID 0000-0002-2795-6454
Gary WittertFreemasons Foundation Centre for Men's Health, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia.ORCID 0000-0001-6818-6065
Jane MartinObesity Policy Coalition and Alcohol and Obesity Policy, Cancer Council Victoria, Melbourne, Australia.ORCID 0000-0002-9132-0928
Caroline L MillerHealth Policy Centre, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA5000, Australia.ORCID 0000-0001-9723-8047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere are numerous health effects associated with excess sugar-sweetened beverage (SSB) consumption. Interventions aimed at reducing population-level consumption require understanding of the relevant barriers and facilitators. This study aimed to identify the variables with the strongest relationship with intentions to reduce SSB consumption from a suite of variables derived from the literature.

designRandom-digit dialling of landline and mobile phones was used to survey adults using computer-assisted telephone interviews. The outcome variable was 'likelihood of reducing SSB consumption in next 6 months', and the predictor variables were demographics, SSB attitudes and behaviour, health risk perceptions and social/environmental exposure.

settingAustralia.

participantsA subsample of 1630 regular SSB consumers from a nationally representative sample of 3430 Australian adults (38 % female, 51 % aged 18-45 years, 56 % overweight or obese).

resultsRespondents indicated that they were 'not at all' (30·1 %), 'somewhat' (43·9 %) and 'very likely' (25·3 %) to reduce SSB consumption. Multivariate nominal logistic regressions showed that perceiving future health to be 'very much' at risk was the strongest predictor of intention to reduce SSB consumption (OR = 8·1, 95 % CI 1·8, 37·0, P < 0·01). Other significant predictors (P < 0·01) included self-perceptions about too much consumption, habitual consumption, difficulty reducing consumption and likelihood of benefitting from reduced consumption.

conclusionsHealth risk perceptions had the strongest relationship with intentions to reduce consumption. Age and consumption perceptions were also predictors in the multivariate models, whereas social/environmental exposure variables were not. Interventions may seek to incorporate strategies to denormalise consumption practices and increase knowledge about perceived susceptibility to health risks.

Indexed as

IntentionSugar-Sweetened BeveragesAdultAustraliaBeveragesFemaleHumansMaleOverweightSurveys and QuestionnairesHealth risk perceptionsIntentions to changePopulation surveySugar-sweetened beverages

Identifiers

PMID33472724
PMCPMC10195437

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.