Evidence map›Paper›PMID 30953491›Full record

ArticleBMC public health2019

Learning what our target audiences think and do: extending segmentation to all four bases.

Anna Kitunen, Sharyn Rundle-Thiele, Mohammad Kadir, Abi Badejo, George Zdanowicz, Megan Price

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

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

  1. Pooled it
  2. Article
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  7. Article
  8. Achieving a Covid-19 Free Country: Citizens Preventive Measures and Communication Pathways.International journal of environmental research and public health · 2020
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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

6 authors.

Anna KitunenSocial Marketing @ Griffith, Griffith University 170 Kessels Road Nathan, Qld, Brisbane, 4111, Australia. annakatariina.kitunen@griffithuni.edu.au.ORCID http://orcid.org/0000-0002-9250-4219
Sharyn Rundle-ThieleSocial Marketing @ Griffith, Griffith University 170 Kessels Road Nathan, Qld, Brisbane, 4111, Australia.
Mohammad KadirSocial Marketing @ Griffith, Griffith University 170 Kessels Road Nathan, Qld, Brisbane, 4111, Australia.
Abi BadejoSocial Marketing @ Griffith, Griffith University 170 Kessels Road Nathan, Qld, Brisbane, 4111, Australia.
George ZdanowiczEnhance Research, 30 Misterton Street Fortitude Valley Qld, Brisbane, 4006, Australia.
Megan PriceQueensland Health, 33 Charlotte Street, Brisbane, Queensland, 4000, Australia.

Funding

Department of Health, Queensland QLH1610B
6 · The paper itself

Abstract

backgroundWhile acknowledged as one of social marketing's necessities, limited reporting of segmentation exists. The current study seeks to extend segmentation drawing on all four segmentation bases within the context of Queensland young adult sexual health behaviour.

methodsAn online survey was used to collect data from 15 to 29 year old people in Queensland, Australia. Data collection was undertaken online to capture the broader population of young adults and in person on campuses to gather data from students who were currently enrolled at University. Quotas were set to ensure a broad representation was attained reflecting the States demography.

resultsTwo-step cluster analysis revealed three different segments. The most important variables in segment formation were age, household type, experience of risky sexual encounters and previously being tested or treated for sexually transmissible infections (STIs). The results suggest that demographic and behavioural variables were the most effective in segment definition.

conclusionsThis study investigated young people aged 15-29 in Queensland, Australia to examine group differences drawing from four bases. This study revealed three distinct segments in a sexual health context and highlighted the importance of behavioural variables in segment formation, insight and understanding.

Indexed as

Health BehaviorRisk-TakingSexual BehaviorSexually Transmitted DiseasesSocial MarketingAdolescentAdolescent BehaviorAdultAustraliaCluster AnalysisDemographyFemaleHumansMaleQueenslandStudentsBehaviour changeSegmentationSexual healthSocial marketingTwo-step cluster analysisYoung people

Identifiers

PMID30953491
PMCPMC6451251

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.