Associations of Physical Activity Intensities with Markers of Insulin Sensitivity

Jelleyman, Charlotte; Edwardson, Charlotte L.; Henson, Joseph; Gray, Laura J.; Rowlands, Alex V.; Khunti, Kamlesh; Davies, Melanie J.; Yates, Thomas

doi:10.1249/mss.0000000000001381

Cited by 14 publications

(16 citation statements)

References 40 publications

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“…Therefore, along with messages related to accumulating at least 150 min/week of MVPA, individuals should be further encouraged to simply sit less and move more. This has been demonstrated in a recent epidemiological study which showed that physical activity of any intensity influences markers of metabolic health but the higher the intensity, the greater the potential improvement for a given physical activity duration (Jelleyman et al, 2017).…”

Section: Discussionmentioning

confidence: 93%

Reallocating sitting time to standing or stepping through isotemporal analysis: associations with markers of chronic low-grade inflammation

Henson

Edwardson

Bodicoat

et al. 2017

Journal of Sports Sciences

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Although high levels of sitting time are adversely related to health, it is unclear whether moving from sitting to standing provides a sufficient stimulus to elicit benefits upon markers of chronic low-grade inflammation in a population at high risk of type 2 diabetes (T2DM). Three hundred and seventy two participants (age = 66.8 ± 7.5years; body mass index (BMI) = 31.7 ± 5.5kg/m; Male = 61%) were included. Sitting, standing and stepping was determined using the activPAL3 device. Linear regression modelling employing an isotemporal substitution approach was used to quantify the association of theoretically substituting 60 minutes of sitting per day for standing or stepping on interleukin-6 (IL-6), C-reactive protein (CRP) and leptin. Reallocating 60 minutes of sitting time per day for standing was associated with a -4% (95% CI -7%, -1%) reduction in IL-6 (p = 0.048). Reallocating 60 minutes of sitting time for light stepping was also associated with lower IL-6 levels (-28% (-46%, -4%; p = 0.025)). Substituting sitting for moderate-to-vigorous (MVPA) stepping was associated with lower CRP (-41% (-75%, -8%; p = 0.032)), leptin (-24% (-34%, -12%; p ≤ 0.001)) and IL-6 (-16% (-28%, 10%; p = 0.036). Theoretically replacing 60 minutes of sitting per day with an equal amount of either standing or stepping yields beneficial associations upon markers of chronic-low grade inflammation.

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Section: Discussionmentioning

confidence: 93%

Reallocating sitting time to standing or stepping through isotemporal analysis: associations with markers of chronic low-grade inflammation

Henson

Edwardson

Bodicoat

et al. 2017

Journal of Sports Sciences

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“…From a pathophysiological point of view, MVPA had demonstrated a negative association with adiposity, that had not been observed in sedentary breaks [36]. Jelleyman et al suggested that the higher the intensity, the greater the potential improvement for a given PA duration in regard to insulin sensitivity assessed by HOMA-IS and Matsuda index [37]. Likewise, Henson et al highlighted the convenience of more intense PA, as they found a higher reduction in chronic inflammation markers (C-reactive protein, interleukin 6) with higher intensity PA [7].…”

Section: Discussionmentioning

confidence: 99%

Physical Activity Intensity and Type 2 Diabetes: Isotemporal Substitution Models in the “Seguimiento Universidad de Navarra” (SUN) Cohort

Llavero-Valero

Escalada

Martínez‐González

et al. 2021

JCM

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Which intensity of physical activity (PA) is associated with type 2 diabetes (T2D) prevention remains unclear. Isotemporal substitution models assess the relationship of replacing the amount of time spent in one activity for another. We aimed to assess T2D incidence associated with light-to-moderate physical activity (LMPA) and vigorous physical activity (VPA) using isotemporal substitution models of one hour (1 h) sitting by 1 h of LMPA or VPA. Furthermore, we evaluated the effect on T2D of an isotemporal substitution of 1 h sitting by 1 h of slow (light physical activity) or brisk–very brisk walking (moderate physical activity). In total, 20,060 participants (both sexes) of the SUN cohort (Spain) initially free of T2D followed-up during a median of 12 years were included. Cox regression models were fitted to assess the association between the substitution of 1 h LMPA, VPA, slow and brisk–very brisk pace by 1 h sitting and T2D. The replacement of 1 h sitting time by 1 h of VPA was associated with an adjusted HR of 0.52 (95% CI: 0.34–0.80), not observed for the substitution by 1 h of LMPA (HR 0.93; 95% CI: 0.73–1.20). An apparent inverse association was observed for the replacement of 1 h sitting time by 1 h of brisk/very brisk walking (HR: 0.69; 95% CI: 0.46–1.04), not observed by 1 h of slow pace. From equal conditions of duration and frequency of PA, the higher the intensity of PA, the greater the T2D prevention.

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“…Moreover, previous investigations have typically categorised sedentary behaviour and physical activity (light, moderate, vigorous) using population-dependent thresholds. Using a broader continuum of intensity categories allows for greater insight into the dose-response relationship between physical activity intensity and health outcomes (16). This is important as previous research has typically focused on MVPA, which occupies a very small fraction of the day, if at all.…”

Section: Introductionmentioning

confidence: 99%

Physical activity and lipidomics in a population at high risk of type 2 diabetes mellitus

Henson

Edwardson

Davies

et al. 2020

Journal of Sports Sciences

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The aim was to investigate how measurements of the lipidome differ according to the level and intensity of physical activity in a population at high risk of type 2 diabetes (T2DM). A targeted metabolomics platform provided quantitative molecular data on lipid species. Linear regression examined the associations between plasma lipid concentrations, particle size and time spent in objectively measured physical activity intensity domains, in increments of 500 counts per minute (cpm) (up to >4500cpm (~>5.6METs)). Results are presented as % difference in the concentration (lower/higher) or particle size (smaller/larger) per 10 minutes of activity within each intensity. 509 participants were included. Time spent in the lowest physical activity intensity domain (<500cpm) was unfavourably associated with VLDL (2%), HDL (-2%) and Apolipoprotein A-1 particle concentrations (-2%) and HDL diameter (-2%). Conversely, time spent in intensities ≥1000cpm were favourably associated with HDL subclass concentrations; with stronger associations seen at moderate intensities (2000-3999cpm (~4.5METs)). For Apolipoprotein-B concentration and VLDL particle concentration and size, a negative association was consistently observed at the highest physical activity intensity only. If these associations are causal, HDL subclasses appear sensitive to light-intensities whereas only the high category of physical activity intensity was consistently associated with VLDL subclasses.

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Associations of Physical Activity Intensities with Markers of Insulin Sensitivity

Cited by 14 publications

References 40 publications

Reallocating sitting time to standing or stepping through isotemporal analysis: associations with markers of chronic low-grade inflammation

Reallocating sitting time to standing or stepping through isotemporal analysis: associations with markers of chronic low-grade inflammation

Physical Activity Intensity and Type 2 Diabetes: Isotemporal Substitution Models in the “Seguimiento Universidad de Navarra” (SUN) Cohort

Physical activity and lipidomics in a population at high risk of type 2 diabetes mellitus

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