Change in Sedentary Time, Physical Activity, Bodyweight, and HbA1c in High-Risk Adults

McCarthy, Matthew; Edwardson, Charlotte L.; Davies, Melanie J.; Henson, Joseph; Gray, Laura J.; Khunti, Kamlesh; Yates, Thomas

doi:10.1249/mss.0000000000001218

Cited by 13 publications

(10 citation statements)

References 36 publications

(45 reference statements)

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“…In this study, performing over 2250 METs of MVPA (equivalent to 300 min of VPA) weekly has protective associations with diabetes risk. Recent studies show that increasing length of MVPA is associated with a reduction in diabetes mellitus risk indicators such as HbA1c, particularly in subjects with dysglycemia [30]. In addition, our study finds that sufficient volume of MPA (150-300 min per week according to recommendations) shows significantly positive associations with the risk of diabetes, but not for sufficient VPA.…”

Section: Discussioncontrasting

confidence: 38%

Physical Activity Dimensions and Its Association with Risk of Diabetes in Middle and Older Aged Chinese People

Zeng

Bian

Cui

et al. 2020

IJERPH

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Background: Diabetes and physical inactivity are prevalent worldwide. Risk of diabetes is known to be related with insufficient physical activity (PA), but associations with the respective dimensions of PA is unclear. Objective: To describe the patterns of physical activity among Chinese middle- and older-aged individuals and figure out their associations with diabetes risk in different dimensions. Methods: Extracting self-reported data from China Health and Retirement Longitudinal Study (CHARLS, 2015), this study included 6196 participants. Multivariate logistic regression was conducted to determine the association between diabetes risk and PA dimensions such as intensity, frequency, duration, and volume. Results: Concerning frequency, lower diabetes risk was associated with performing vigorous PA at any frequency overall. For duration, smaller odds of diabetes were observed in performing vigorous PA 2–4 h/day (OR 0.46, 95%CI 0.30 to 0.71), moderate PA ≥4 h/day (OR 0.59, 95%CI 0.42 to 0.82) and light PA ≥4 h/day (OR 0.59, 95%CI 0.41 to 0.85) overall. For volume, lower diabetes risk was associated with performing moderate-to-vigorous PA (MVPA) ≥2250 METs/week (OR 0.58, 95%CI 0.42 to 0.81) in middle-aged group (45–64 years), whereas no significant associations between MVPA and diabetes risk were found in older aged group (≥65 years). Conclusions: Our results revealed that physical inactivity is prevalent in China, with a greater proportion in the diabetes group. Lower risk of diabetes was associated with higher frequency, longer duration and longer volume of PA at higher intensity in middle-aged respondents and similar associations at lower intensity for the older adults. Additionally, further well-designed prospective studies are needed to confirm our findings.

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Section: Discussioncontrasting

confidence: 38%

Physical Activity Dimensions and Its Association with Risk of Diabetes in Middle and Older Aged Chinese People

Zeng

Bian

Cui

et al. 2020

IJERPH

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“…Whilst the intensive interventions in the seminal diabetes prevention trials achieved initial weight loss, there is little evidence of sustained increases in physical activity over the longer term (> 12 months) [ 5 ]. This is important as even modest increases in physical activity decrease the risk of cardiovascular disease and improve glycaemic control independently of changes in weight in high risk groups [ 6 , 7 ] and facilitate maintenance of weight loss. Furthermore, uptake of and retention in real-world diabetes prevention programmes is sub-optimal [ 3 , 4 ], suggesting alternative strategies are required.…”

Section: Introductionmentioning

confidence: 99%

Promoting physical activity in a multi-ethnic population at high risk of diabetes: the 48-month PROPELS randomised controlled trial

Khunti

Griffin

Brennan

et al. 2021

BMC Med

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Background Physical activity is associated with a reduced risk of type 2 diabetes and cardiovascular disease but limited evidence exists for the sustained promotion of increased physical activity within diabetes prevention trials. The aim of the study was to investigate the long-term effectiveness of the Walking Away programme, an established group-based behavioural physical activity intervention with pedometer use, when delivered alone or with a supporting mHealth intervention. Methods Those at risk of diabetes (nondiabetic hyperglycaemia) were recruited from primary care, 2013–2015, and randomised to (1) Control (information leaflet); (2) Walking Away (WA), a structured group education session followed by annual group-based support; or (3) Walking Away Plus (WAP), comprising WA annual group-based support and an mHealth intervention delivering tailored text messages supported by telephone calls. Follow-up was conducted at 12 and 48 months. The primary outcome was accelerometer measured ambulatory activity (steps/day). Change in primary outcome was analysed using analysis of covariance with adjustment for baseline, randomisation and stratification variables. Results One thousand three hundred sixty-six individuals were randomised (median age = 61 years, ambulatory activity = 6638 steps/day, women = 49%, ethnic minorities = 28%). Accelerometer data were available for 1017 (74%) individuals at 12 months and 993 (73%) at 48 months. At 12 months, WAP increased their ambulatory activity by 547 (97.5% CI 211, 882) steps/day compared to control and were 1.61 (97.5% CI 1.05, 2.45) times more likely to achieve 150 min/week of moderate-to-vigorous physical activity. Differences were not maintained at 48 months. WA was no different to control at 12 or 48 months. Secondary anthropometric and health outcomes were largely unaltered in both intervention groups apart from small reductions in body weight in WA (~ 1 kg) at 12- and 48-month follow-up. Conclusions Combining a pragmatic group-based intervention with text messaging and telephone support resulted in modest changes to physical activity at 12 months, but changes were not maintained at 48 months. Trial registration ISRCTN 83465245 (registered on 14 June 2012).

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“…For example, in a 16 week aerobic training conducted by Tessier and colleagues, no significant changes regarding HbA1c were found [20]. Although physical activity has constantly been linked to reductions in T2D and results seem promising [21,22], the effect of walking on HbA1c needs to be further clarified [23], particularly in terms of which type of walking activity has the greatest effective on HbA1c and also, it is important to clarify the timeline to see positive changes on this variable. Furthermore, most of the interventions have included participants with type 2 diabetes, focusing on physical activity and its effect on T2D versus a prevention model.…”

Section: Introductionmentioning

confidence: 99%

Continuous or intermittent walking, the effect on glycated hemoglobin in sedentary employees during 10-week intervention

Rodríguez-Hernández

McDonald

Wadsworth

2021

Int. J. Phys. Educ. Fit. Sports

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To determine the effects of a virtual physical activity (PA) program in college students during social distancing due to COVID-19. 44 college students, male and female. Methods: Participants completed self-reported measures of the International Physical Activity Questionnaire, weekly PA, and a short-survey of the educational experience during social distancing. Participants completed the instruments at baseline and after 10-weeks of an on-line virtual PA program. Increased overall PA (p = 0.040) and transportation PA (p = 0.004), leisure-time PA (p = 0.031) domains increased following the program. The sitting time increased following the intervention (p = 0.0001). Students who failed to comply with at least 150 min/week of PA reduced the frequency of positive emotions compared to those who complied (p = 0.017). Social distancing and daily college tasks seem to lessen the effect of PA on sedentary behavior in college students regardless of an increase in PA.

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Change in Sedentary Time, Physical Activity, Bodyweight, and HbA1c in High-Risk Adults

Abstract: Increases in MVPA and body weight were associated with a reduction and increase in HbA1c, respectively, particularly in those with dysglycemia. Quantifying the effect that health behavior changes have on HbA1c can be used to inform prevention programs.

Cited by 13 publications

References 36 publications

Physical Activity Dimensions and Its Association with Risk of Diabetes in Middle and Older Aged Chinese People

Physical Activity Dimensions and Its Association with Risk of Diabetes in Middle and Older Aged Chinese People

Promoting physical activity in a multi-ethnic population at high risk of diabetes: the 48-month PROPELS randomised controlled trial

Continuous or intermittent walking, the effect on glycated hemoglobin in sedentary employees during 10-week intervention

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