Correlates of accelerometer-assessed physical activity and sedentary time among adults with type 2 diabetes

Mathe, Nonsikelelo; Boyle, Terry; Sayah, Fatima Al; Mundt, Clark; Vallance, Jeff K.; Johnson, Jeffrey; Johnson, Steven T.

doi:10.17269/cjph.108.5954

Cited by 11 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The amount of physical activity was similar to the measured physical activity in patients with type 2 diabetes (disease duration: 13 years; aged 65 years) [50]. In this study Mathe and colleagues reported 22.2 (SD: 19.4) min/day of moderate and 0.2 (SD: 0.71) min/day of vigorous physical activity.…”

Section: Discussionsupporting

confidence: 83%

Factors Associated with Objectively Measured Physical Activity in Patients with Seropositive Rheumatoid Arthritis

Haider

Sedlak

Kapan

et al. 2020

IJERPH

View full text Add to dashboard Cite

Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease, which is associated with low levels of physical activity (PA). However, the factors related to low physical activity levels have rarely been studied. Methods: In this cross-sectional study, 70 seropositive RA patients were included. Physical activity was objectively assessed with an ActiGraph GT3X+ accelerometer. In addition, body mass index, smoking status, work ability, and clinical parameters (functional disabilities, disease activity, disease duration, pain, and inflammation parameters) were measured. Results: RA patients performed a mean of 215.2 (SD: 136.6) min a week of moderate physical activity and 9.1 (SD: 26.3) min of vigorous physical activity. The total amount of moderate and vigorous physical activity (MVPA) was associated with BMI, and functional disabilities. In addition, non-smokers and patients with better work ability did more MVPA. No association could be seen with disease activity, disease duration, pain, and inflammatory markers. After mutual adjusting of all the variables, only BMI showed a significant relationship with MVPA. Conclusions: RA patients perform de facto no physical activity with vigorous intensity. Factors related to low physical activity are BMI, functional disabilities, workability and smoking status, whereas due to the study design no causal and temporal link could be made.

show abstract

Section: Discussionsupporting

confidence: 83%

Factors Associated with Objectively Measured Physical Activity in Patients with Seropositive Rheumatoid Arthritis

Haider

Sedlak

Kapan

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…Multiple authors in our review [ 21 , 24 , 27 , 42 ] also noted that data collection is limited by device location, and accelerometers are therefore unable to capture the entire spectrum of human movement, potentially causing a misrepresentation of physical activity quantity and intensity (eg, a waist-worn device may record upper body strength training as sedentary behavior). In addition, the lack of standardization in data collection protocols, as evidenced in our review by the variety of choices for device placement, epoch length, and total wear time, makes it difficult to compare physical activity data across studies.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, as previously exemplified with the Freedson et al [ 67 ] thresholds, the choice of cut points directs data interpretation. Some authors [ 24 , 25 , 55 , 59 , 76 ] recognize that absolute cut points are not sensitive to variations in individual fitness level, which is affected by age and health status. Physical activity data for adults who are older and have chronic diseases like T2D may be disproportionately affected by the use of absolute cut points originally validated with data from their younger and healthier counterparts.…”

Section: Discussionmentioning

confidence: 99%

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

Moldovan¹,

Bragg²,

Nidhiry³

et al. 2022

Interact J Med Res

View full text Add to dashboard Cite

Background Incorporating physical activity into lifestyle routines is recommended for individuals with type 2 diabetes. Accelerometers offer a promising method for objectively measuring physical activity and for assessing interventions. However, the existing literature for accelerometer-measured physical activity among middle-aged and older adults with type 2 diabetes is lacking. Objective This study aims to identify research studies in which accelerometer-based cut points were used to classify the physical activity intensity of middle-aged to older adults with type 2 diabetes as sedentary, light, moderate, vigorous, and very vigorous, and to determine if validated accelerometer cut points specifically for this population exist. Methods We followed the Joanna Briggs Institute methodology for scoping reviews. Between June 23 and July 12, 2020, two reviewers independently screened records from four databases (PubMed, Web of Science, Embase, Engineering Village) and the ActiGraph Corp web site for eligible studies that included patients with type 2 diabetes with a sample mean age ≥50 years, used research-grade accelerometers, applied cut points to categorize objectively measured physical activity, and were available in English. We excluded studies reporting exclusively steps or step counts measured by accelerometers or pedometers and conference abstracts or other sources that did not have a full text available. Data extraction was completed using Microsoft Excel. Data for the following variables were tabulated based on frequency distributions: study design, accelerometer type, device placement, epoch length, total wear time, and cut points used. Study aims and participant demographic data were summarized. Results A total of 748 records were screened at the abstract level, and 88 full-text articles were assessed for eligibility. Ultimately, 46 articles were retained and analyzed. Participants’ mean ages ranged from 50 to 79.9 years. The ActiGraph accelerometer and the Freedson et al and Troiano et al counts-per-minute cut points were the most frequently used across the literature. Freedson et al and Troiano et al counts-per-minute cut points for light, moderate, and vigorous activity correspond to <1952, 1952-5724, and ≥5725, and 100-2019, 2020-5998, and ≥5999, respectively. The Lopes et al cut points were developed by calibrating the ActiGraph in middle-aged and older adults with overweight/obesity and type 2 diabetes. These counts-per-minute thresholds are ≥200 (light), ≥1240 (moderate), and ≥2400 (vigorous), and were applied in 1 interventional study. Conclusions An assortment of accelerometer cut points have been used by researchers to categorize physical activity intensity for middle-aged and older adults with diabetes. Only one set of cut points was validated and calibrated in our population of interest. Additional research is warranted to address the need for diabetes-specific cut points to inform public health recommendations. This includes confirmation that the Lopes et al cut points reflect clinically meaningful changes in physical activity for adults with diabetes who have comorbidities other than overweight/obesity and the development of relative intensity cut points that may be more suitable for those with suboptimal physical functioning.

show abstract

“…66 Poor glycaemic control (reduced insulin sensitivity, FBG, and OGTT) has been associated with sitting times and patterns in individuals with T2DM. 67 Recent personalised assessments of sedentary behaviour using accelerometers have also shown a prevalence of concurrent sedentariness (sitting >9 hours/day) and insufficient physical activity (<30 min/day of moderate activity) in those with T2DM and obesity, 68 and amongst women at high risk of gestational diabetes. 69 Similar sedentary associations with poor glycaemic control and reduced insulin sensitivity were observed in a 1-year study following and tracking physical activity levels using concurrent wrist-worn accelerometery and continuous glucose monitoring sensors in those with T2DM.…”

Section: Intervention Methods T2dm Intervention Outcomes T2dm Recommendationmentioning

confidence: 99%

Personalising Exercise and Nutrition Behaviours in Diabetes Lifestyle Prevention

Alkhatib

2020

EMJ

View full text Add to dashboard Cite

The alarming increase in global diabetes, especially Type 2 diabetes mellitus (T2DM), is affecting diverse populations and leading to consequent burdens of morbidities, mortalities, and healthcare costs. Physical activity and nutritional approaches form the cornerstones of lifestyle T2DM prevention. Advances in understanding an individual's behaviour and biological responses to different exercise conditions are concurrent with new personalised exercise and nutritional and behavioural tools effective for preventing T2DM and associated chronic diseases. Targeted exercise and nutrition interventions can be personalised across diverse population groups and different settings. Such approaches can benefit from evolving technologies embedding genomics, metabolomics, proteomics, and transcriptomics, together with behavioural reduction strategies such as addressing sedentary behaviour. This narrative review focusses on describing personalised lifestyle prevention approaches, which address different population needs and environmental settings. These methods can be better directed towards translating T2DM interventions and laboratory trials into sustainable, healthy behaviours, and help form personalised lifestyle T2DM prevention guidelines.

show abstract

Correlates of accelerometer-assessed physical activity and sedentary time among adults with type 2 diabetes

Cited by 11 publications

References 30 publications

Factors Associated with Objectively Measured Physical Activity in Patients with Seropositive Rheumatoid Arthritis

Factors Associated with Objectively Measured Physical Activity in Patients with Seropositive Rheumatoid Arthritis

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

Personalising Exercise and Nutrition Behaviours in Diabetes Lifestyle Prevention

Contact Info

Product

Resources

About