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INTRODUCTION: Diabetes mellitus is common in primary care, yet little has been reported of its primary care prevalence or the clinical characteristics of patients with Type 2 diabetes mellitus (T2DM). AIM: To determine the prevalence of diabetes mellitus and clinical characteristics of diabetes patients in primary care in the Waikato region. METHODS: Primary care data were extracted from the electronic records of 15 general practices for patients aged >20 years with current diabetes mellitus at 20 June 2017. Diabetes mellitus was defined as having a glycated haemoglobin (HbA1c) of ≥50 mmol/mol (6.7%) or having being dispensed two or more anti-diabetic medications in the previous 12 months. Additional data collected included patients' ethnicity, age, sex and years since diagnosis. RESULTS: The overall prevalence of diabetes mellitus was 5.7% and was higher for Māori (8.6%), Asian (7.0%) and Pacific peoples (9.1%) than Europeans (5.0%; all P < 0.001). For patients with T2DM for whom current diabetes annual review data were available (n = 2227) the mean body mass index (BMI) was 32.8 ± 0.2 kg/m2, but BMI was higher in Māori, younger patients, females and patients diagnosed <2 years previously (all P < 0.001). Similarly, HbA1c levels were highest in Māori and younger patients (both P < 0.001), with 40% of patients overall having a HbA1c of ≤53 mmol/mol (7.0%). Approximately 70% of all patients had at least one measure of hypertension (systolic ≥130 or diastolic ≥80 mmHg), or dyslipidaemia. More than 85% of patients had completed a recent retinal screen and foot check. DISCUSSION: We found that management of T2DM was suboptimal, with measures for many patients not meeting clinical targets. Support should be provided to improve weight and glycaemic management, particularly for Māori, females and younger patients. [ABSTRACT FROM AUTHOR]

Background: Obesity is prevalent in health care workers, but it is unknown whether a lack of nutritional knowledge contributes to this. This study measured the nutrition knowledge of undergraduate nursing students to identify knowledge gaps that could be addressed through nutrition teaching in an updated undergraduate nursing curriculum. Method: Undergraduate nursing students (N = 197) completed a nutrition knowledge survey with questions on demographics, body composition, nutrition labels, food packaging claims, and healthy food-purchasing choices. Results: Mean overall nutritional knowledge scores were low, but overall scores were higher for students who had received nutrition teaching (60.5% versus 52.5%; F[1,187] = 7.2, p < 0.001). Improvements in nutrition knowledge were consistent across all ethnic groups, and no effects of age were observed. Conclusion: To sufficiently prepare nurses for their public health role in obesity prevention, more nutrition education is needed in undergraduate nursing education programs, with emphasis on ethnic-specific educational requirements. [ABSTRACT FROM AUTHOR]

The purpose of this study was to quantify the inter-session reliability of force–velocity–power profiling and estimated maximal strength in youth. Thirty-six males (11–15 years old) performed a ballistic supine leg press test at five randomized loads (80%, 100%, 120%, 140%, and 160% body mass) on three separate occasions. Peak and mean force, power, velocity, and peak displacement were collected with a linear position transducer attached to the weight stack. Mean values at each load were used to calculate different regression lines and estimate maximal strength, force, velocity, and power. All variables were found reliable (change in the mean [CIM] = − 1 to 14%; coefficient of variation [CV] = 3–18%; intraclass correlation coefficient [ICC] = 0.74–0.99), but were likely to benefit from a familiarization, apart from the unreliable maximal force/velocity ratio (CIM = 0–3%; CV = 23–25%; ICC = 0.35–0.54) and load at maximal power (CIM = − 1 to 2%; CV = 10–13%; ICC = 0.26–0.61). Isoinertial force–velocity–power profiling and maximal strength in youth can be assessed after a familiarization session. Such profiling may provide valuable insight into neuromuscular capabilities during growth and maturation and may be used to monitor specific training adaptations. [ABSTRACT FROM PUBLISHER]