Seasonal Variations in Step Counts, Physical Activity Intensity and Sedentary Behaviour in Type 2 Diabetes and Hypertension

2016 ◽  
Vol 40 (5) ◽  
pp. S55
Author(s):  
Alexandra B. Cooke ◽  
Stella S. Daskalopoulou ◽  
Kaberi Dasgupta
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Sedentary Behaviour ◽  
Seasonal Variations ◽  
Physical Activity Intensity ◽  
Step Counts ◽  
Activity Intensity

Physical activity intensity and type 2 diabetes risk in overweight youth: a randomized trial

2015 ◽  
Vol 40 (4) ◽  
pp. 607-614 ◽  
Author(s):  
J Hay ◽  
K Wittmeier ◽  
A MacIntosh ◽  
B Wicklow ◽  
T Duhamel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Randomized Trial ◽  
Diabetes Risk ◽  
Physical Activity Intensity ◽  
Activity Intensity

Accelerometer-measured Physical Activity of Older Adults with Type 2 Diabetes: A scoping review (Preprint)

2021 ◽  
Author(s):  
Ioana A. Moldovan ◽  
Alexa Bragg ◽  
Anna Nidhiry ◽  
Barbara A. De La Cruz ◽  
Suzanne E. Mitchell
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Older Adults ◽  
Scoping Review ◽  
Self Report ◽  
Physical Activity Intensity ◽  
Middle Aged ◽  
Promising Alternative ◽  
Activity Intensity

BACKGROUND Incorporating physical activity in lifestyle routines is recommended for individuals living with type 2 diabetes. Accelerometer devices offer a promising alternative to self-report methods for measuring physical activity performance. However, the extant literature for accelerometer-measured physical activity among middle-aged/older adults with chronic conditions is lacking. OBJECTIVE We conducted a comprehensive scoping review of the literature to capture accelerometry methodologies in older adults with type 2 diabetes, specifically in relation to cutpoints that classify physical activity into intensity categories (sedentary, light, moderate, vigorous, very vigorous). METHODS Applying the Joanna Briggs Institute’s methodology, we searched PubMed, Web of Science, EMBASE, and Engineering Village to identify studies that used research-grade accelerometers to objectively measure physical activity intensity levels of adults with type 2 diabetes using cutpoints in participant samples of mean age 50 years and older. RESULTS We identified 46 studies that met our inclusion criteria. The ActiGraph was the most popular accelerometer among researchers, and the Freedson (1998) and Troiano (2008) cutpoints were favored the most. The Lopes (2009) cutpoints were developed by calibrating the ActiGraph accelerometer in middle-aged and older adults with overweight/ obesity and type 2 diabetes. Several studies noted limitations of accelerometry use that could lead to an underestimation or inaccurate representation of physical activity for our population of interest. Limitations included decreased accuracy due to variation in device placement and underestimation of activity intensity attributed to using cutpoints in older adults with lower fitness levels that were originally validated with younger adults. CONCLUSIONS Considering the high variability among accelerometry methodologies, more work needs to be done to understand activity intensity cut-offs for populations with a high burden of chronic disease, older age, and suboptimal physical functioning.

scholarly journals Physical Activity Intensity and Risk Factors for Type 2 Diabetes in Obese Youth: The POWER Trial

2013 ◽  
Vol 37 ◽  
pp. S51
Author(s):  
Andrea C. Macintosh ◽  
Kristy D.M. Wittmeier ◽  
Jacqueline L. Hay ◽  
Lori Berard ◽  
Jonathan M. Mcgavock
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Physical Activity Intensity ◽  
Activity Intensity ◽  
Obese Youth

scholarly journals Sex differences in the association of psychological status with measures of physical activity and sedentary behaviour in adults with type 2 diabetes

2018 ◽  
Vol 55 (6) ◽  
pp. 627-635 ◽  
Author(s):  
Liliana Indelicato ◽  
Marco Dauriz ◽  
Elisabetta Bacchi ◽  
Silvia Donà ◽  
Lorenza Santi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Sex Differences ◽  
Sedentary Behaviour ◽  
Psychological Status

scholarly journals Patterns and correlates of active commuting in adults with type 2 diabetes: cross-sectional evidence from UK Biobank

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e017132 ◽  
Author(s):  
Catherine L Falconer ◽  
Ashley R Cooper ◽  
Ellen Flint
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Sedentary Behaviour ◽  
Outcome Measures ◽  
Sedentary Time ◽  
Diabetes Diagnosis ◽  
Active Commuting ◽  
Uk Biobank ◽  
Cross Sectional

ObjectivesTo describe the active commuting (AC) patterns of adults with type 2 diabetes and how these relate to physical activity and sedentary behaviour in UK Biobank. Social and environmental correlates of AC will also be explored.DesignCross-sectional analysis of a cohort study.SettingsThis is a population cohort of over 500 000 people recruited from 22 centres across the UK. Participants aged between 37 and 73 years were recruited between 2006 and 2010.Participants6896 participants with a self-reported type 2 diabetes diagnosis who reported commuting to work and had complete covariate data were included in the analysis.Exposure measuresExposure measures were AC to work, measured as usual mode of transport.Outcome measuresOutcome measures were weekly minutes of moderate to vigorous physical activity (MVPA), hours/day of sedentary time and participation in active travel.ResultsAC (reporting walking or cycling to work only) was reported by 5.5% of participants, with the great majority using the car to commute (80%). AC was associated with an additional 73 (95% CI 10.8 to 134.9) and 105 (95% CI 41.7 to 167.2) weekly minutes of MVPA for men and women, respectively. AC was associated with reduced sedentary time (β −1.1, 95% CI −1.6 to –0.7 hours/day for men; and β −0.8, 95% CI −1.2 to –0.3 hours/day for women). Deprivation and distance from home to work were identified as correlates of AC behaviour.ConclusionsRates of AC are very low in adults with type 2 diabetes. However, AC offers a potentially sustainable solution to increasing physical activity and reducing sedentary behaviour. Therefore, strategies to improve the environment and encourage AC may help to increase population levels of physical activity and reduce the disease burden associated with type 2 diabetes.

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