Evidence map›Paper›PMID 24500081›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2014

The clustering of health behaviours in older Australians and its association with physical and psychological status, and sociodemographic indicators.

Barbara Griffin, Kerry A Sherman, Mike Jones, Piers Bayl-Smith

Abstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Barbara GriffinDepartment of Psychology, Macquarie University, Sydney, NSW, 2109, Australia.
Kerry A Sherman
Mike Jones
Piers Bayl-Smith

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing life expectancies, burgeoning healthcare costs and an emphasis on the management of multiple health-risk behaviours point to a need to delineate health lifestyles in older adults. PURPOSE: The aims of this study were to delineate health lifestyles of a cohort of older adults and to examine the association of these lifestyles with biological and psychological states and socio-economic indices.

methodsCluster analysis was applied to data derived from the self-reported 45 and Up cohort study (N = 96,276) of Australians over 45 years, regarding exercise, smoking, alcohol consumption, diet and cancer screening behaviours.

resultsSix lifestyle clusters emerged delineated by smoking, screening and physical activity levels. Individuals within health-risk dominant clusters were more likely to be male, living alone, low-income earners, living in a deprived neighbourhood, psychologically distressed and experiencing low quality of life.

conclusionsHealth lifestyle cluster membership can be used to identify older adults at greatest risk for physical and psychological health morbidity.

Indexed as

Health BehaviorAdaptation, PsychologicalAgedAlcohol DrinkingAustraliaCluster AnalysisDietEarly Detection of CancerExerciseFemaleHealth StatusHumansLife StyleMaleMiddle AgedPsychology

Identifiers

PMID24500081
PMCPMC4212155

What OpenQuestion holds

Textmetadata
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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.