Evidence map›Paper›PMID 22151909›Full record

Trial reportBMC public health2011

Rationale and study design for a randomised controlled trial to reduce sedentary time in adults at risk of type 2 diabetes mellitus: project stand (Sedentary Time ANd diabetes).

Emma G Wilmot, Melanie J Davies, Charlotte L Edwardson, Trish Gorely, Kamlesh Khunti, Myra Nimmo, Thomas Yates, Stuart J H Biddle

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02467881 (Physical Activity and Sedentary Behavior Change; Impact on Lifestyle Intervention Effects for Diabetes Translation), which is not on this map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 10% 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.

NCT02467881 nacompletednot on this mapstarted 2015, after this paper: background citation

Physical Activity and Sedentary Behavior Change; Impact on Lifestyle Intervention Effects for Diabetes Translation

TypeinterventionalSponsorUniversity of PittsburghRan2015 to 2019Enrolled308ConditionsSedentary Lifestyle, Physical ActivityArmsPhysical Activity Increase (GLB-MOD), Sedentary Time Decrease (GLB-SED), 6-month delayed (DELAYED)
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Trial
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  9. Article
  10. Sedentary Behavior and the Use of Wearable Technology: An Editorial.International journal of environmental research and public health · 2020
    Article
  11. Article
  12. Article
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  14. Factors Inhibiting Physical Activity as Treatment for Diabetic Chuukese in Chuuk and Hawai'i.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2017
    Article
  15. Article
  16. Review
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  18. Novel strategies for sedentary behavior research.Medicine and science in sports and exercise · 2015
    Article
  19. Article
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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

8 authors at 3 institutions in 1 country.

Emma G WilmotDiabetes Research, Department of Cardiovascular Sciences, University of Leicester, University Hospitals of Leicester NHS Trust, Leicester Royal Infirmary, Leicester LE1 5WW, UK.
Melanie J Davies
Charlotte L Edwardson
Trish Gorely
Kamlesh Khunti
Myra Nimmo
Thomas Yates
Stuart J H Biddle
Loughborough University · GBUniversity of Leicester · GBUniversity Hospitals of Leicester NHS Trust · GB

Funding

Medical Research Council 91409Medical Research Council G0802131
6 · The paper itself

Abstract

backgroundThe rising prevalence of Type 2 Diabetes Mellitus (T2DM) is a major public health problem. There is an urgent need for effective lifestyle interventions to prevent the development of T2DM. Sedentary behaviour (sitting time) has recently been identified as a risk factor for diabetes, often independent of the time spent in moderate-to-vigorous physical activity. Project STAND (Sedentary Time ANd Diabetes) is a study which aims to reduce sedentary behaviour in younger adults at high risk of T2DM. METHODS/

designA reduction in sedentary time is targeted using theory driven group structured education. The STAND programme is subject to piloting and process evaluation in line with the MRC framework for complex interventions. Participants are encouraged to self-monitor and self-regulate their behaviour. The intervention is being assessed in a randomised controlled trial with 12 month follow up. Inclusion criteria are a) aged 18-40 years with a BMI in the obese range; b) 18-40 years with a BMI in the overweight range plus an additional risk factor for T2DM. Participants are randomised to the intervention (n = 89) or control (n = 89) arm. The primary outcome is a reduction in sedentary behaviour at 12 months as measured by an accelerometer (count < 100/min). Secondary outcomes include physical activity, sitting/lying time using the ActivPAL posture monitor, fasting and 2 h oral glucose tolerance test, lipids, inflammatory biomarkers, body weight, waist circumference, blood pressure, illness perceptions, and efficacy beliefs for behaviour change.

conclusionsThis is the first UK trial to address sedentary behaviour change in a population of younger adults at risk of T2DM. The results will provide a platform for the development of a range of future multidisciplinary interventions in this rapidly expanding high-risk population.

trial registrationCurrent controlled trials ISRCTN08434554, MRC project 91409.

Indexed as

Research DesignRisk Reduction BehaviorSedentary BehaviorAdolescentAdultDiabetes Mellitus, Type 2Health PromotionHumansInterviews as TopicUnited KingdomYoung Adult

Identifiers

PMID22151909
PMCPMC3262766
OpenAlexW1970524942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.