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.

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

Physical Activity Intensity and Biopsychosocial Correlates in Chinese Middle-Aged and Older Adults With Chronic Kidney Disease

2019 ◽  
Vol 27 (6) ◽  
pp. 871-878
Author(s):  
Jieling Chen ◽  
Emily Joy Nicklett ◽  
Yaping He ◽  
Vivian W.Q. Lou
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Urban Areas ◽  
Mobility Limitations ◽  
Physical Activity Intensity ◽  
Middle Aged ◽  
Activity Intensity ◽  
Light Activity

The study aims to characterize physical activity (PA) participation by intensity and examine the biopsychosocial correlates among middle-aged and older adults with chronic kidney disease (CKD) in China. Data were examined from the 2011 China Health and Retirement Longitudinal Study. The percentages of participation in vigorous, moderate, and light activity among participants with CKD were 22.7%, 42.1%, and 76.3%, respectively. The participants were less likely to engage in vigorous and moderate PA if they were 70 years of age or older, were not married/partnered, were unemployed, lived in urban areas, had an advanced stage of disease, had heart disease, and/or experienced mobility limitations. The magnitude of the associations between biophysical factors and PA participation was small for light PA. The higher the intensity of regular PA, the less likely older adults with CKD were to participate. Practitioners could consider the psychosocial characteristics of the older adults with CKD and facilitate their participation in PA.

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 DIAGNOSIS WITH TYPE 2 DIABETES AND CHANGES IN PHYSICAL ACTIVITY AMONG MIDDLE-AGED AND OLDER ADULTS IN THE U.S.

2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 739-740
Author(s):  
E Nicklett ◽  
J Chen ◽  
X Xiang ◽  
A Sonnega ◽  
L Abrams ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Older Adults ◽  
Middle Aged ◽  
The U.S

scholarly journals Association Between Change in Accelerometer-Measured and Self-Reported Physical Activity and Cardiovascular Disease in the Look AHEAD Trial

2022 ◽  
Author(s):  
John M. Jakicic ◽  
Robert I. Berkowitz ◽  
Paula Bolin ◽  
George A. Bray ◽  
Jeanne M. Clark ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Proportional Hazards ◽  
Secondary Analysis ◽  
Cox Proportional Hazards ◽  
Self Report ◽  
Look Ahead ◽  
The Look

OBJECTIVE: To conduct <i>post-hoc</i> secondary analysis examining the association between change in physical activity (PA), measured with self-report and accelerometry, from baseline to 1 and 4 years and cardiovascular disease (CVD) outcomes in the Look AHEAD Trial. <p>RESEARCH DESIGN AND METHODS: Participants were adults with overweight/obesity and type 2 diabetes with PA data at baseline and year 1 or 4 (n = 1,978). Participants were randomized to diabetes support and education or intensive lifestyle intervention. Measures included accelerometry-measured moderate-to-vigorous PA (MVPA), self-reported PA, and composite (morbidity and mortality) CVD outcomes.</p> <p>RESULTS: In pooled analyses of all participants, using Cox proportional hazards models, each 100 MET-min/wk increase in accelerometry-measured MVPA from baseline to 4 years was associated with decreased risk of the subsequent primary composite outcome of CVD. Results were consistent for changes in total MVPA [HR=0.97 (95% CI: 0.95, 0.99)] and MVPA accumulated in <u>></u>10-minute bouts [HR=0.95 (95% CI: 0.91, 0.98)], with a similar pattern for secondary CVD outcomes. Change in accelerometry-measured MVPA at 1 year and self-reported change in PA at 1 and 4 years were not associated with CVD outcomes.</p> <p>CONCLUSIONS: Increased accelerometry-measured MVPA from baseline to year 4 is associated with decreased risk of CVD outcomes. This suggests the need for long-term engagement in MVPA to reduce the risk of CVD in adults with overweight/obesity and type 2 diabetes.</p>

Does Interrupting Prolonged Sitting With 10- or 20-Min Standing Attenuate Postprandial Glycemia and Blood Pressure in Middle-Aged and Older Adults With Type 2 Diabetes?

2020 ◽  
pp. 1-8
Author(s):  
Yuri A. Freire ◽  
Carlos A. Silva ◽  
Geovani A. D. Macêdo ◽  
Rodrigo A. V. Browne ◽  
Bruno M. de Oliveira ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Older Adults ◽  
Area Under The Curve ◽  
Acute Effect ◽  
Sitting Time ◽  
Middle Aged ◽  
Postprandial Glycemia ◽  
Prolonged Sitting

We carried out three types of 2-hr experimental sessions with middle-aged and older adults with Type 2 diabetes in order to examine the acute effect of interrupting prolonged sitting with varying periods of standing on postprandial glycemia and blood pressure (BP): (a) prolonged sitting after breakfast; (b) standing for 10 min, 30 min after breakfast; and (c) standing for 20 min, 30 min after breakfast. Glucose and BP were assessed before and after breakfast. A generalized linear model revealed no significant differences for the incremental area under the curve of glucose between standing for 10 min, 30 min after breakfast, versus prolonged sitting after breakfast (β = –4.5 mg/dl/2 hr, 95% CI [–17.3, 8.4]) and standing for 20 min, 30 min after breakfast, versus prolonged sitting after breakfast (β = 0.9 mg/dl/2 hr, 95% CI [–11.9, 13.7]). There was no difference in area under the curve of systolic and diastolic BP among the sessions. Interrupting prolonged sitting time with 10 or 20 min of standing 30 min after breakfast does not attenuate postprandial glycemia or BP in middle-aged and older adults with Type 2 diabetes.

Sign in / Sign up

Export Citation Format

Share Document