Literature DB >> 24078056

Objectively assessed sedentary time and type 2 diabetes mellitus: a case–control study.

Mark Hamer, Sophie Bostock, Ruth Hackett, Andrew Steptoe.   

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Year:  2013        PMID: 24078056      PMCID: PMC3825498          DOI: 10.1007/s00125-013-3051-5

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


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To the Editor: There is some evidence to suggest detrimental, linear associations between objectively assessed sedentary time and various metabolic risk factors [1, 2], although it remains unclear if these associations are independent of moderate to vigorous physical activity [3, 4]. The effects of sedentary behaviour on health might be more apparent in clinical populations and the elderly, although the majority of research in this area has been conducted in healthy participants, which might partly explain inconsistencies in the findings. Thus, translation into specific clinical populations is needed. If a reduction in risk of type 2 diabetes mellitus can be achieved by rectifying the imbalance between sitting time and light-intensity (‘lifestyle’) activity, this would have important implications for early intervention and treatment. The aim of this study was to compare objectively assessed levels of sedentary and physical activity in type 2 diabetic patients and age matched healthy controls. Healthy controls were drawn from a sub-sample of participants from the Whitehall II epidemiological cohort, as described previously [5]. Type 2 diabetic patients without history of cardiovascular disease were recruited from primary care clinics. Each diabetic patient was matched with two healthy controls based on age, sex and income. Participants gave full informed written consent to participate in the study and ethics approval was obtained from the University College London Hospital committee on the Ethics of Human Research. Participants wore an accelerometer (Actigraph GT3X, Pensacola, FL, USA ) around the hip that records movement on the vertical and horizontal axis, during waking hours for 7 consecutive days. The accelerometer provides a measure of the frequency, intensity and duration of physical activity and allows classification of activity levels as sedentary, light, moderate and vigorous. The raw accelerometry data were processed using specialist software (MAHUffe, Cambridge, UK) to produce a series of standardised outcome variables. All participants included in the present analysis recorded a minimum of 10 h per day wear time and provided data for 5 days after exclusion of the first and last days of wear. Non-wear time was defined as intervals of at least 60 consecutive minutes of zero counts/minute (cpm). We used cut-off points previously described [5] to calculate daily times in each activity intensity band: sedentary (<1.5 metabolic equivalent of task [MET]): 0–199 cpm; light (1.5–3 MET) 200–1,998 cpm; moderate to vigorous physical activity (>3 MET): ≥1,999 cpm. All physical activity variables were converted to time (in minutes) per valid day. General linear models were employed to compare Actigraph data between cases and controls, making adjustments for wear time. All analyses were conducted using SPSS version 21 (IBM, Armonk, NY, USA). Participants comprised 223 healthy controls (aged 64.0 ± 6.3 years; BMI 25.7 ± 3.8 kg/m2) and 122 type 2 diabetic patients (aged 63.9 ± 6.9 years; BMI 31.0 ± 5.6 kg/m2). In comparison with healthy controls, diabetic patients recorded more sedentary time (636 vs 662 min/day, p = 0.001), less light-intensity activity (208 vs 186 min/day, p = 0.02), but similar levels of moderate to vigorous activity (36 vs 33 min/day, p = 0.23) after adjusting for wear time. In further models that were adjusted for BMI (see Table 1), the differences in sedentary time were attenuated. Rates of smoking were higher among diabetic patients (13.8%) compared with healthy controls (5.4%), although further adjustment for smoking had negligible effects on the differences in sedentary time (14.8 min/day; 95% CI, −3.2, 32.7).
Table 1

The difference in sedentary time and physical activity between diabetic patients and healthy controls

Activity levelModel 1 B (95% CI)Model 2 B (95% CI)
Sedentary time (min/day)
 Control groupReferenceReference
 Diabetic group25.7 (10.3, 41.2)15.0 (−2.6, 32.6)
Light activity (min/day)
 Control groupReferenceReference
 Diabetic group−22.3 (−36.2, −8.4)−17.7 (−33.5, −1.8)
Moderate to vigorous activity (min/day)
 Control groupReferenceReference
 Diabetic group−3.3 (−8.8, 3.2)2.9 (−3.3, 9.0)

Model 1 adjusted for wear time

Model 2 adjusted for wear time and BMI

The difference in sedentary time and physical activity between diabetic patients and healthy controls Model 1 adjusted for wear time Model 2 adjusted for wear time and BMI The main findings from this study show differences in the balance between sedentary and light-intensity activity in diabetic patients and healthy controls. The greater time spent sedentary in diabetic patients was substantial (∼3 h per week) and might have aetiological relevance if this is reflective of habitual behaviour. The protective effect of physical activity becomes apparent with moderate-intensity exercise such as walking [6], although recent data in older adults has suggested that light activity also confers benefit in reducing the risk of type 2 diabetes [7]. The mechanisms may be linked to the displacement of sedentary time. A recent study showed that interrupting sitting time every 20 min with short 2 min bouts of light- or moderate-intensity walking lowered postprandial glucose and insulin levels in overweight/obese adults [8]. Given that the difference in sedentary time between diabetic patients and healthy controls was largely attenuated by adjustment for BMI, this suggests that excess weight might be a key barrier to activity. Indeed, a recent study in middle-aged adults demonstrated that BMI at baseline was prospectively associated with greater television viewing at follow-up, but not the converse [9]. The method used to assess sedentary time in this study has some limitations. The Actigraph quantifies time spent in different intensities of activity by summing time above and below specified count thresholds that may be less accurate for distinguishing sedentary and light activities. Thus, methods that employ postural allocation may be more reliable. The study was cross-sectional and we did not collect physical activity data prior to the development of diabetes. Nevertheless, physical activity behaviour appears to track from adulthood into older age [5]. Participants were matched for key variables although we were unable to control for other potentially important factors such as dietary intake and family history of diabetes. In summary, type 2 diabetic patients recorded greater time in sedentary activity compared with healthy controls. Given the barriers to physical activity, it would be desirable if patients could gain benefit from incorporating relatively light levels of activity into their treatment modalities, which might be accomplished by simply reducing or breaking up sedentary time with movement. Patients may be more motivated by this approach, and becoming and staying active could seem more manageable.
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1.  Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06.

Authors:  Genevieve N Healy; Charles E Matthews; David W Dunstan; Elisabeth A H Winkler; Neville Owen
Journal:  Eur Heart J       Date:  2011-01-11       Impact factor: 29.983

Review 2.  Physical activity of moderate intensity and risk of type 2 diabetes: a systematic review.

Authors:  Christie Y Jeon; R Peter Lokken; Frank B Hu; Rob M van Dam
Journal:  Diabetes Care       Date:  2007-03       Impact factor: 19.112

3.  Low-intensity physical activity is associated with reduced risk of incident type 2 diabetes in older adults: evidence from the English Longitudinal Study of Ageing.

Authors:  P Demakakos; M Hamer; E Stamatakis; A Steptoe
Journal:  Diabetologia       Date:  2010-05-22       Impact factor: 10.122

4.  Associations of objectively measured sedentary behaviour and physical activity with markers of cardiometabolic health.

Authors:  J Henson; T Yates; S J H Biddle; C L Edwardson; K Khunti; E G Wilmot; L J Gray; T Gorely; M A Nimmo; M J Davies
Journal:  Diabetologia       Date:  2013-03-01       Impact factor: 10.122

5.  Sedentary time in relation to cardio-metabolic risk factors: differential associations for self-report vs accelerometry in working age adults.

Authors:  Emmanuel Stamatakis; Mark Hamer; Kate Tilling; Debbie A Lawlor
Journal:  Int J Epidemiol       Date:  2012-05-26       Impact factor: 7.196

6.  Breaking up prolonged sitting reduces postprandial glucose and insulin responses.

Authors:  David W Dunstan; Bronwyn A Kingwell; Robyn Larsen; Genevieve N Healy; Ester Cerin; Marc T Hamilton; Jonathan E Shaw; David A Bertovic; Paul Z Zimmet; Jo Salmon; Neville Owen
Journal:  Diabetes Care       Date:  2012-02-28       Impact factor: 19.112

7.  Objectively measured moderate- and vigorous-intensity physical activity but not sedentary time predicts insulin resistance in high-risk individuals.

Authors:  Ulf Ekelund; Soren Brage; Simon J Griffin; Nicholas J Wareham
Journal:  Diabetes Care       Date:  2009-02-27       Impact factor: 19.112

8.  Longitudinal patterns in physical activity and sedentary behaviour from mid-life to early old age: a substudy of the Whitehall II cohort.

Authors:  Mark Hamer; Mika Kivimaki; Andrew Steptoe
Journal:  J Epidemiol Community Health       Date:  2012-07-12       Impact factor: 3.710

9.  Sitting behavior and obesity: evidence from the Whitehall II study.

Authors:  Richard M Pulsford; Emmanuel Stamatakis; Annie R Britton; Eric J Brunner; Melvyn M Hillsdon
Journal:  Am J Prev Med       Date:  2013-02       Impact factor: 6.604

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Review 1.  Managing sedentary behavior to reduce the risk of diabetes and cardiovascular disease.

Authors:  Paddy C Dempsey; Neville Owen; Stuart J H Biddle; David W Dunstan
Journal:  Curr Diab Rep       Date:  2014       Impact factor: 4.810

Review 2.  Sitting Less and Moving More: Improved Glycaemic Control for Type 2 Diabetes Prevention and Management.

Authors:  Paddy C Dempsey; Neville Owen; Thomas E Yates; Bronwyn A Kingwell; David W Dunstan
Journal:  Curr Diab Rep       Date:  2016-11       Impact factor: 4.810

3.  Association Between Daily Time Spent in Sedentary Behavior and Duration of Hyperglycemia in Type 2 Diabetes.

Authors:  Cynthia Fritschi; Hanjong Park; Andrew Richardson; Chang Park; Eileen G Collins; Robin Mermelstein; Lauren Riesche; Laurie Quinn
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4.  Effects of substituting sedentary time with physical activity on metabolic risk.

Authors:  Mark Hamer; Emmanuel Stamatakis; Andrew Steptoe
Journal:  Med Sci Sports Exerc       Date:  2014-10       Impact factor: 5.411

5.  The Powdered Root of Eurycoma longifolia Jack Improves Beta-Cell Number and Pancreatic Islet Performance through PDX1 Induction and Shows Antihyperglycemic Activity in db/db Mice.

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6.  Health behaviour changes after type 2 diabetes diagnosis: Findings from the English Longitudinal Study of Ageing.

Authors:  Ruth A Hackett; Catherine Moore; Andrew Steptoe; Camille Lassale
Journal:  Sci Rep       Date:  2018-11-16       Impact factor: 4.379

7.  The Physical Activity Assessment of Adults With Type 2 Diabetes Using Accelerometer-Based Cut Points: Scoping Review.

Authors:  Ioana A Moldovan; Alexa Bragg; Anna S Nidhiry; Barbara A De La Cruz; Suzanne E Mitchell
Journal:  Interact J Med Res       Date:  2022-09-06

8.  The impact of mental and somatic stressors on physical activity and sedentary behaviour in adults with type 2 diabetes mellitus: a diary study.

Authors:  Louise Poppe; Annick L De Paepe; Dimitri M L Van Ryckeghem; Delfien Van Dyck; Iris Maes; Geert Crombez
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