Evidence map›Paper›PMID 22167127›Full record

Trial reportDiabetologia2012

Sedentary time, breaks in sedentary time and metabolic variables in people with newly diagnosed type 2 diabetes.

A R Cooper, S Sebire, A A Montgomery, T J Peters, D J Sharp, N Jackson, K Fitzsimons, C M Dayan, R C Andrews

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Diabetologia, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02738996 (Investigating the Response of Glycaemic Excursions in Type-2 Diabetes to Interrupting Prolonged Sedentary Behaviour), which is not on this map. Cited by 91 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 3 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.

NCT02738996 naunknown statusnot on this mapstarted 2016, after this paper: background citation

Investigating the Response of Glycaemic Excursions in Type-2 Diabetes to Interrupting Prolonged Sedentary Behaviour (Sitting)

TypeinterventionalSponsorGlasgow Caledonian UniversityRan2016 to 2017Enrolled24ConditionsDiabetesArmsSedentary time breaks either every 60 minutes, Sedentary time breaks either every 30 minutes, Sedentary time breaks every 15 minutes
3 · Its place in the literature

Who cites it

91 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Effect of exercise on the quality of life in type 2 diabetes mellitus: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
    Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. The Impact of Sleep Debt on Excess Adiposity and Insulin Sensitivity in Patients with Early Type 2 Diabetes Mellitus.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2016
    Trial
  9. Trial
  10. Sedentary time and markers of inflammation in people with newly diagnosed type 2 diabetes.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2014
    Trial
  11. Trial
  12. Trial
  13. The Impact of Physical Activity in Patients With Type 2 Diabetes.American journal of lifestyle medicine · 2025
    Review
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Article

31 more citing papers are in PubMed but not listed here.

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

9 authors.

A R CooperCentre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, Bristol BS8 1TZ, UK. ashley.cooper@bris.ac.uk
S Sebire
A A Montgomery
T J Peters
D J Sharp
N Jackson
K Fitzsimons
C M Dayan
R C Andrews

Funding

Department of Health PB-PG-0610-22352
6 · The paper itself

Abstract

aims/hypothesisWe investigated whether objectively measured sedentary time and interruptions in sedentary time are associated with metabolic factors in people with type 2 diabetes.

methodsWe studied 528 adults (30-80 years) with newly diagnosed type 2 diabetes, who were participants in a diet and physical activity intervention. Waist circumference (WC), fasting HDL-cholesterol, insulin and glucose levels, HOMA of insulin resistance (HOMA-IR) and physical activity (accelerometer) were measured at baseline and at 6 months follow-up. Linear regression models were used to investigate cross-sectional and longitudinal associations of accelerometer-derived sedentary time and breaks in sedentary time (BST) with metabolic variables.

resultsIn cross-sectional analyses each hour of sedentary time was associated with larger WC (unstandardised regression coefficient [B] [95% CI] 1.89 cm [0.94, 2.83]; p < 0.001), higher insulin (B = 8.22 pmol/l [2.80, 13.65]; p = 0.003) and HOMA-IR (B = 0.42 [0.14, 0.70]; p = 0.004), and lower HDL-cholesterol (B = -0.04 mmol/l [-0.06, -0.01]; p = 0.005). Adjustment for WC attenuated all associations. Each BST was associated with lower WC (B = -0.15 cm [- 0.24, -0.05]; p = 0.003) and there was evidence of a weak linear association with HDL-cholesterol, but no association with insulin levels or HOMA-IR. Volume of sedentary time at baseline predicted HDL-cholesterol (B = -0.05 mmol/l [-0.08, -0.01]; p = 0.007), insulin levels (B = 8.14 pmol/l [0.1.51, 14.78]; p = 0.016) and HOMA-IR (B = 0.49 [0.08, 0.90]; p = 0.020) at 6 months, though not WC. Baseline BST did not substantially predict any metabolic variables at follow-up. No change was seen in sedentary time or BST between baseline and 6 months follow-up. CONCLUSIONS/

interpretationHigher sedentary time is associated with a poorer metabolic profile in people with type 2 diabetes.

Indexed as

Motor ActivitySedentary BehaviorAdultAgedAged, 80 and overBody Mass IndexCholesterol, HDLCohort StudiesCross-Sectional StudiesDiabetes Mellitus, Type 2EnglandFemaleHumansInsulinInsulin ResistanceLongitudinal StudiesCholesterol, HDLInsulin

Identifiers

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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.