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A cross-sectional survey and latent class analysis of the prevalence and clustering of health risk factors among people attending an Aboriginal Community Controlled Health Service

Overview of attention for article published in BMC Public Health, July 2015
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Title
A cross-sectional survey and latent class analysis of the prevalence and clustering of health risk factors among people attending an Aboriginal Community Controlled Health Service
Published in
BMC Public Health, July 2015
DOI 10.1186/s12889-015-2015-8
Pubmed ID
Authors

Natasha E Noble, Christine L Paul, Nicole Turner, Stephen V Blunden, Christopher Oldmeadow, Heidi E Turon

Abstract

Indigenous Australians are a socially disadvantaged group who experience significantly poorer health and a higher prevalence of modifiable health behaviours than other Australians. Little is known about the clustering of health risks among Indigenous Australians. The aims of this study were to describe the clustering of key health risk factors, such as smoking, physical inactivity and alcohol consumption, and socio-demographics associated with clusters, among a predominantly Aboriginal sample. Participants (n = 377) attending an Aboriginal Community Controlled Health Service (ACCHS) in regional/rural New South Wales, Australia, in 2012-2013 completed a self-report touch screen health risk survey. Clusters were identified using latent class analysis. Cluster 1 ('low fruit/vegetable intake, lower risk'; 51 %) consisted of older men and women; Cluster 2 ('risk taking'; 22 %) included younger unemployed males with a high prevalence of smoking, risky alcohol, and illicit drug use. Cluster 3 ('inactive, overweight, depressed'; 28 %) was characterised by younger to mid aged women likely to have experienced emotional or physical violence. If future research identifies similar stable clusters of health behaviours for this population, intervention approaches targeting these clusters of risk factors should be developed and tested for Aboriginal and Torres Strait Islander Australians.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 <1%
Australia 1 <1%
Unknown 116 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Researcher 16 14%
Student > Master 14 12%
Student > Bachelor 12 10%
Student > Doctoral Student 8 7%
Other 15 13%
Unknown 32 27%
Readers by discipline Count As %
Nursing and Health Professions 19 16%
Psychology 17 14%
Medicine and Dentistry 16 14%
Social Sciences 7 6%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 14 12%
Unknown 42 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 December 2015.
All research outputs
#20,299,108
of 22,836,570 outputs
Outputs from BMC Public Health
#13,905
of 14,878 outputs
Outputs of similar age
#219,402
of 262,595 outputs
Outputs of similar age from BMC Public Health
#256
of 265 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 262,595 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.