Evidence map›Paper›PMID 41024582›Full record

ArticleHealth promotion international2025

Health literacy strengths and challenges of Australian smokers: a cluster analysis.

Cheryn Coleman, Satish Melwani, Stuart G Ferguson, Rosie Nash

Abstract read
In one paragraph

Article in Health promotion international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Cheryn ColemanTasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Private Bag 34, Hobart, TAS 7001, Australia.ORCID 0000-0003-0952-4540
Satish MelwaniDepartment of General Practice, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia.
Stuart G FergusonTasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Private Bag 34, Hobart, TAS 7001, Australia.ORCID 0000-0001-7378-3497
Rosie NashTasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Private Bag 34, Hobart, TAS 7001, Australia.

Funding

Tasmanian Department of Health
6 · The paper itself

Abstract

Smoking tobacco continues to be a leading cause of death and disease. This study aimed to provide health literacy profiles which include strengths and challenges of Australian adults who smoke, to identify their needs and inform future smoking interventions. We conducted a cross-sectional survey using the Health Literacy Questionnaire to measure and describe the health literacy profiles. A total of 563 Australian adults who smoke completed the questionnaire. Data were analysed using hierarchical cluster analysis with Ward's method for linkage. Ten clusters were identified as the optimal cluster solution. These clusters had distinct health literacy profiles with diverse needs and demographic characteristics. Most participants self-reported strengths in understanding health information well enough to know what to do, but identified challenges in navigating the healthcare system. This cluster analysis revealed that Australian adults who smoke have varying health literacy competencies and needs. These findings can be used to educate stakeholders and to inform tailored interventions to support people who smoke to quit smoking.

Indexed as

Health LiteracySmokersSmokingAdolescentAdultAgedAustraliaCluster AnalysisCross-Sectional StudiesFemaleHumansMaleMiddle AgedSmoking CessationSurveys and QuestionnairesYoung Adulthealth literacypublic healthsmokingtailored interventiontobacco smoking

Identifiers

PMID41024582
PMCPMC12480200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.