Evidence map›Paper›PMID 25885657›Full record

Trial reportBMC public health2015

A randomised controlled trial of a physical activity and nutrition program targeting middle-aged adults at risk of metabolic syndrome in a disadvantaged rural community.

Krysten Blackford, Jonine Jancey, Andy H Lee, Anthony P James, Peter Howat, Andrew P Hills, Annie Anderson

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Krysten BlackfordCollaboration for Evidence, Research and Impact in Public Health, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia. k.blackford@curtin.edu.au.
Jonine JanceyCollaboration for Evidence, Research and Impact in Public Health, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia. j.jancey@curtin.edu.au.
Andy H LeeCollaboration for Evidence, Research and Impact in Public Health, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia. andy.lee@curtin.edu.au.
Anthony P JamesSchool of Public Health, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia. t.p.james@curtin.edu.au.
Peter HowatCollaboration for Evidence, Research and Impact in Public Health, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia. p.howat@curtin.edu.au.
Andrew P HillsSchool of Exercise and Nutrition Sciences, Queensland University of Technology, GPO Box 2434, Brisbane, QLD, 4001, Australia. ahills@mmri.mater.org.au.
Annie AndersonCentre for Public Health Nutrition Research, Division of Cancer Research, Ninewells Medical School, Level 7, Mailbox 7, Dundee, DD1 9SY, UK. a.s.anderson@dundee.ac.uk.
Curtin University · AUNinewells Hospital · GBQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 70% of Australian adults aged over 50 are overweight or obese, with the prevalence significantly higher in regional/remote areas compared to cities. This study aims to determine if a low-cost, accessible lifestyle program targeting insufficiently active adults aged 50-69 y can be successfully implemented in a rural location, and whether its implementation will contribute to the reduction/prevention of metabolic syndrome, or other risk factors for type 2 diabetes, and cardiovascular disease. METHODS/

designThis 6-month randomised controlled trial will consist of a nutrition, physical activity, and healthy weight intervention for 50-69 year-olds from a disadvantaged rural community. Five hundred participants with central obesity and at risk of metabolic syndrome will be recruited from Albany and surrounding areas in Western Australia (within a 50 kilometre radius of the town). They will be randomly assigned to either the intervention (n = 250) or wait-listed control group (n = 250). The theoretical concepts in the study utilise the Self-Determination Theory, complemented by Motivational Interviewing. The intervention will include a custom-designed booklet and interactive website that provides information, and encourages physical activity and nutrition goal setting, and healthy weight management. The booklet and website will be supplemented by an exercise chart, calendar, newsletters, resistance bands, accelerometers, and phone and email contact from program staff. Data will be collected at baseline and post-intervention. DISCUSSION: This study aims to contribute to the prevention of metabolic syndrome and inter- related chronic illnesses: type 2 diabetes mellitus, cardiovascular disease, and some cancers; which are associated with overweight/obesity, physical inactivity, and poor diet. This large rural community-based trial will provide guidelines for recruitment, program development, implementation, and evaluation, and has the potential to translate findings into practice by expanding the program to other regional areas in Australia.

trial registrationAustralian and New Zealand Clinical Trials Registry [ ACTRN12614000512628 , registration date 14(th) May 2014].

Indexed as

Life StyleRural PopulationAgedAustraliaCardiovascular DiseasesDiabetes Mellitus, Type 2DietExerciseFemaleHealth BehaviorHumansMaleMetabolic SyndromeMiddle AgedMotivational InterviewingNew Zealand

Identifiers

PMID25885657
PMCPMC4419409
OpenAlexW2116830504

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.