Evidence map›Paper›PMID 31269931›Full record

ArticleBMC public health2019

Should I sit or stand: likelihood of adherence to messages about reducing sitting time.

Stephanie J Alley, Corneel Vandelanotte, Mitch J Duncan, Camille E Short, Jaclyn P Maher, Stephanie Schoeppe, Amanda L Rebar

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
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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.

Stephanie J AlleyPhysical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Building 7, Bruce Hwy, Rockhampton, QLD, 4701, Australia. s.alley@cqu.edu.au.ORCID http://orcid.org/0000-0001-9666-5071
Corneel VandelanottePhysical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Building 7, Bruce Hwy, Rockhampton, QLD, 4701, Australia.
Mitch J DuncanSchool of Medicine & Public Health, Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW, Australia.
Camille E ShortSchool of Psychological Sciences and Melbourne School of Health Sciences, Melbourne University, Melbourne, VIC, Australia.
Jaclyn P MaherDepartment of Kinesiology, University of North Carolina, Greensboro, NC, USA.
Stephanie SchoeppePhysical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Building 7, Bruce Hwy, Rockhampton, QLD, 4701, Australia.
Amanda L RebarPhysical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Building 7, Bruce Hwy, Rockhampton, QLD, 4701, Australia.

Funding

National Health and Medical Research Council GNT1090517National Health and Medical Research Council GNT1105926National Health and Medical Research Council GNT1125586National Heart Foundation of Australia ID100029National Heart Foundation of Australia ID100427National Heart Foundation of Australia ID101240
6 · The paper itself

Abstract

backgroundHigh population levels of sitting is contributing to high rates of chronic health problems. Therefore, the aim of this study was to identify the sitting time messages with the greatest potential to reduce sitting behaviour, as well as identify how this may differ according to demographic, behavioural and psychosocial characteristics.

methodsAustralian adults (N = 1460) were asked to report the likelihood that they would adhere to seven messages promoting reduced sitting time and two messages promoting increased physical activity (from 'not at all likely' to 'very likely'). Ordinal regression models were used to compare messages on the likelihood of adherence and whether likelihood of adherence differed as a function of demographic, psychosocial and behavioural characteristics.

resultsLikelihood of adherence was highest for the messages, 'Stand and take a break from sitting as frequently as you can' (83% respectively) and 'Avoid sitting for more than 10 hours during the entire day' (82%) and was significantly lower for the message, 'Sit as little as possible on all days of the week' (46%) compared to all other messages.

conclusionsTo increase likelihood of adherence messages should be specific, achievable and promote healthy alternatives to sitting (e.g. standing). Messages promoting standing as a healthy alternative to sitting may be more likely to engage people with high sitting behaviour and messages promoting physical activity may be more likely to engage males and retired adults.

Indexed as

Health CommunicationSitting PositionStanding PositionAdultAgedAustraliaFemaleGuideline AdherenceHumansMaleMiddle AgedTime FactorsBehaviour changeCampaignHealth promotionMass mediaSedentary behaviourSitting time

Identifiers

PMID31269931
PMCPMC6610814

What OpenQuestion holds

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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.