BackgroundMusculotendinous overuse injuries are prevalent in people with type 2 diabetes. Non-enzymatic glycosylation of collagen resulting in tendon stiffening may play a role. In this case–control study we determined whether patients with diabetes had poorer ultrasonographic structure in their Achilles tendons compared to age-matched controls.MethodsPeople with type 1 diabetes or type 2 diabetes, and age-matched controls, had computerised ultrasound tissue characterisation of both Achilles tendons. In contiguous ultrasonographic images of the tendon, echopatterns were quantified and categorised into four echo-types. Tendon abnormality was quantified as sum of echo-types III+IV. Furthermore, skin autofluorescence (AF) of the forearm (AF-value) was gathered.ResultsTwenty four type 2 diabetes patients, 24 controls, 24 type 1 diabetes patients and 20 controls were included. AF-value was higher in type 1 diabetes (1.55±0.17) than in their controls (1.39±0.18, p<0.001) and in type 2 diabetes (2.28±0.38) compared to their controls (1.84±0.32, p<0.001) Achilles tendons of type 2 diabetes patients contained more echo-types III+IV (14.1±7.9%) than matched controls (8.0±5.4%, p<0.001). There was a trend towards a difference in echo-types III+IV between type 1 diabetes patients (9.5±5.3%) and their controls (6.5±3.7%, p=0.055). In a stepwise linear regression analysis, body mass index (BMI) was moderately associated with tendon abnormality in patients with diabetes and controls (β=0.393, p<0.001).ConclusionsType 2, and possibly type 1, diabetes patients showed poorer ultrasonographic Achilles tendon structure that may be a risk factor for tendinopathy. Although markers for accumulation of advanced glycation end products were elevated in both diabetes populations, only BMI was associated with these abnormalities.Trial registration numberNTR2209.

Fatigued IBD patients show an impaired physical fitness and physical activity compared with non-fatigued IBD patients. This gives directions for a physical component in fatigue in IBD patients. Therefore, these new insights into fatigue indicate that these patients might benefit from an exercise program to improve physical fitness and physical activity.

ObjectiveThe study investigated the feasibility and potential outcome measures during acute hyperoxia in type 2 diabetes patients (DM2).MethodsEleven DM2 patients (7 men and 4 women) were included in the study. The patients cycled (30 min at 20 % Wmax) whilst breathing three different supplemental oxygen flows (SOF, 5, 10, 15 L min−1). During hyperoxic exercise, arterial blood gases and intra-arterial blood pressure measurements were obtained.ResultsArterial pO2 levels increased significantly (ANOVA, p < 0.05) with SOF: 13.9 ± 1.2 (0 L min−1); 18.5 ± 1.5 (5 L min−1); 21.7 ± 1.7 (10 L min−1); 24.0 ± 2.3 (15 L min−1). Heart rate (HR) and pH increased significantly after terminating administration of hyperoxic air.ConclusionsAn SOF of 15 L min−1 appears to be more effective than 5 or 10 L min−1. Moreover, HR, blood pressure, blood lactate and pH are not recommended as primary outcome measures.

A short maximal steep ramp test (SRT, 25 W/10 s) has been proposed to guide exercise interventions in type 2 diabetes, but requires validation. This study aims to (a) determine the relationship between Wmax and V˙O2peak reached during SRT and the standard ramp test (RT); (b) obtain test-retest reliability; and (c) document electrocardiogram (ECG) abnormalities during SRT. Type 2 diabetes patients (35 men, 26 women) performed a cycle ergometer-based RT (women 1.2; men 1.8 W/6 s) and SRT on separate days. A random subgroup (n = 42) repeated the SRT. ECG, heart rate, and V˙O2 were monitored. Wmax during RT: 193 ± 63 (men) and 106 ± 33 W (women). Wmax during SRT: 193 ± 63 (men) and 188 ± 55 W (women). The relationship between RT and SRT was described by men RT V˙O2peak (mL/min) = 152 + 7.67 × Wmax SRT1 (r: 0.859); women RT V ˙ O 2 p e a k (mL/min) = 603 + 4.75 × Wmax SRT1 (r: 0.771); intraclass correlation coefficients between first (SRT1) and second SRT Wmax (SRT2) were men 0.951 [95% confidence interval (CI) 0.899-0.977] and women 0.908 (95% CI 0.727-0.971). No adverse events were noted during any of the exercise tests. This validation study indicates that the SRT is a low-risk, accurate, and reliable test to estimate maximal aerobic capacity during the RT to design exercise interventions in type 2 diabetes patients.

Mankowski, RT, Michael, S, Rozenberg, R, Stokla, S, Stam, HJ, and Praet, SFE. Heart-rate variability threshold as an alternative for spiro-ergometry testing: a validation study. J Strength Cond Res 31(2): 474-479, 2017-Although spiro-ergometry is the established "gold standard" for determination of the second ventilatory threshold (VT2), it is a costly and rather time-consuming method. Previous studies suggest that assessing the second anaerobic threshold (AT2) on the basis of heart rate variability (HRV) during exercise may be a more cost-effective and noninvasive manner. However, appropriate validation studies, are still lacking. Eleven healthy, moderately trained subjects underwent 3 incremental exercise tests. Ventilation, oxygen uptake (V[Combining Dot Above]O2), CO2 production (V[Combining Dot Above]CO2), and HRV were measured continuously. Exercise testing was performed in 3 oxygen (FiO2) conditions of inspired air (14, 21, and 35% of oxygen). Participants and assessors were blinded to the FiO2 conditions. Two research teams assessed VT2s and HRVT2s independently from each other. Mean workloads corresponding to VT2 and HRVT2 in hypoxia were, respectively, 19 ± 17% (p = 0.01) and 15 ± 15% (p = 0.1) lower in comparison with hyperoxic conditions. Bland-Altman analysis showed low estimation bias (2.2%) and acceptably precise 95% limits of agreement for workload -15.7% to 20.1% for all FiO2 conditions. Bias was the lowest under normoxic conditions (1.1%) in comparison with hypoxia (3.7%) and hyperoxia (4.7%). Heart rate variability-based AT2 assessment had a most acceptable agreement with VT2 under normoxic conditions. This simple HRVT2 assessment may have potential applications for exercise monitoring in commercial fitness settings.