Aim To compare the impact of two long‐term weight‐maintenance diets, a high protein (HP) and low glycaemic index (GI) diet versus a moderate protein (MP) and moderate GI diet, combined with either high intensity (HI) or moderate intensity physical activity (PA), on the incidence of type 2 diabetes (T2D) after rapid weight loss. Materials and Methods A 3‐year multicentre randomized trial in eight countries using a 2 x 2 diet‐by‐PA factorial design was conducted. Eight‐week weight reduction was followed by a 3‐year randomized weight‐maintenance phase. In total, 2326 adults (age 25‐70 years, body mass index ≥ 25 kg/m2) with prediabetes were enrolled. The primary endpoint was 3‐year incidence of T2D analysed by diet treatment. Secondary outcomes included glucose, insulin, HbA1c and body weight. Results The total number of T2D cases was 62 and the cumulative incidence rate was 3.1%, with no significant differences between the two diets, PA or their combination. T2D incidence was similar across intervention centres, irrespective of attrition. Significantly fewer participants achieved normoglycaemia in the HP compared with the MP group (P < .0001). At 3 years, normoglycaemia was lowest in HP‐HI (11.9%) compared with the other three groups (20.0%‐21.0%, P < .05). There were no group differences in body weight change (−11% after 8‐week weight reduction; −5% after 3‐year weight maintenance) or in other secondary outcomes. Conclusions Three‐year incidence of T2D was much lower than predicted and did not differ between diets, PA or their combination. Maintaining the target intakes of protein and GI over 3 years was difficult, but the overall protocol combining weight loss, healthy eating and PA was successful in markedly reducing the risk of T2D. This is an important clinically relevant outcome.
This paper analyses the current standing of nursing within the wider United Kingdom (UK) higher education (HE) environment and considers the development of academic identity within the sector, introducing a technology mediated approach to professional learning and development. A community of practice (CoP) is a way of learning based on collaboration among peers. Individuals come together virtually or physically, with a common purpose, defined by knowledge rather than task [Wenger, E., 1998. Communities of Practice: Learning, Meaning and Identity, sixth ed. Cambridge University Press, Cambridge]. In 2008, a small team of academics at Glasgow Caledonian University, School of Nursing, Midwifery and Community Health created and implemented iCoP, a project undertaken to pilot an international CoP, where novices and expert academics collaborated to debate and discuss the complex transition from clinician to academic. Although not intended as a conventional research project, the developmental journey and emerging online discussion provide an insight into the collective thoughts and opinions of a multi-national group of novice academics. The article also highlights the key challenges, problems and limitations of working in an international online arena with professionals who traditionally work and thrive in a face to face, real time environment.
To assess the effect of normobaric hypoxia on metabolism, gut hormones, and body composition, 11 normal weight, aerobically trained (O2peak: 60.6 ± 9.5 ml·kg−1·min−1) men (73.0 ± 7.7 kg; 23.7 ± 4.0 years, BMI 22.2 ± 2.4 kg·m−2) were confined to a normobaric (altitude ≃ 940 m) normoxic (NORMOXIA; PIO2 ≃ 133.2 mmHg) or normobaric hypoxic (HYPOXIA; PIO was reduced from 105.6 to 97.7 mmHg over 10 days) environment for 10 days in a randomized cross-over design. The wash-out period between confinements was 3 weeks. During each 10-day period, subjects avoided strenuous physical activity and were under continuous nutritional control. Before, and at the end of each exposure, subjects completed a meal tolerance test (MTT), during which blood glucose, insulin, GLP-1, ghrelin, peptide-YY, adrenaline, noradrenaline, leptin, and gastro-intestinal blood flow and appetite sensations were measured. There was no significant change in body weight in either of the confinements (NORMOXIA: −0.7 ± 0.2 kg; HYPOXIA: −0.9 ± 0.2 kg), but a significant increase in fat mass in NORMOXIA (0.23 ± 0.45 kg), but not in HYPOXIA (0.08 ± 0.08 kg). HYPOXIA confinement increased fasting noradrenaline and decreased energy intake, the latter most likely associated with increased fasting leptin. The majority of all other measured variables/responses were similar in NORMOXIA and HYPOXIA. To conclude, normobaric hypoxic confinement without exercise training results in negative energy balance due to primarily reduced energy intake.
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