Primary School Educators' Perspectives and Experiences of Nature-Based Play and Learning and Its Benefits, Barriers, and Enablers: A Qualitative Descriptive Study.

Nature-based play and learning is of increasing interest to primary schools and research suggests that it has many potential benefits for children's health and development. However, little is known about educators' perspectives and experiences of nature-based play and learning, particularly the barriers, benefits and enablers, despite their direct relevance to the uptake of nature-based play and learning in schools. A qualitative descriptive methodology was employed to uncover these. Individual, semi-structured interviews were conducted with 12 principals and educators from South Australian public primary schools, recruited via a participant contact list from a previous study. The participants were two principals, eight educators and two individuals with dual principal and educator positions. Metropolitan and rural schools were equally represented. Interviews were audio-taped, transcribed verbatim and analysed using thematic analysis. Analysis identified four overarching themes: the practice, perceived benefits, barriers and enablers of nature-based play and learning. Children's learning, enjoyment, creativity, and a relaxed and flexible environment were clear benefits. Meanwhile educator knowledge and confidence and the crowded curriculum were barriers. Enablers were nature-based play and learning champions and support from school leadership. The findings suggest that schools can help engage students with nature-based play and learning activities by mitigating these barriers and promoting these enablers.

The Effect of Macronutrients on Reproductive Hormones in Overweight and Obese Men: A Pilot Study.

Hypogonadal obese men find it difficult to lose weight. We investigated whether the modification of macronutrient intake can alter testosterone levels independently of the body mass index. Fasted overweight or obese fertile men were asked to consume meals of polyunsaturated fats (PUFA), monounsaturated fats (MUFA), refined carbohydrates (CHO, orange juice, OJ), whey and egg albumin and mixed meals of PUFA and CHO, PUFA and egg albumin, and CHO and egg albumin. Blood was collected at fasting, then hourly for 5 h and analysed to determine the levels of testosterone and other hormones. We found PUFA and MUFA or a mixed meal of PUFA and CHO significantly reduced serum testosterone production to a similar degree over a 5 h period. PUFA decreased serum testosterone levels by 3.2 nmol/L after 1 h compared to baseline (p = 0.023), with this suppression remaining significant up to 5 h postprandially (2.1 nmol/L; p = 0.012). The net overall testosterone levels were reduced by approximately 10 nmol/L × h by PUFA, MUFA and PUFA combined with CHO. CHO alone had little effect on testosterone levels, whereas egg albumin was able to increase them (7.4 cf 2.0 nmol/L × h). Therefore, for men wishing to optimize their testosterone levels, it may be wise to avoid a high fat intake, drink liquids such as water or OJ or even consider fasting. ANZCTR, Australia; ACTRN12617001034325.

Obesity related metabolic endotoxemia is associated with oxidative stress and impaired sperm DNA integrity.

BACKGROUND: Obesity is known to be associated with inflammation, oxidative stress and a resulting reduction in sperm DNA integrity. Importantly, obesity is also reported to be associated with an increase in intestinal permeability with the passage of intestinal bacteria into the circulation (metabolic endotoxemia) that triggers a systemic state of inflammation and resultant oxidative stress. Therefore, we hypothesised that this obesity related increase in intestinal permeability and resultant metabolic endotoxemia (ME) may activate inflammation within the male reproductive tract, leading to increased reactive oxygen species production, sperm oxidative stress and a decline in DNA integrity. RESULTS: Our pilot study of 37 infertile men confirmed a significant positive correlation between body mass index (BMI), increased intestinal permeability (serum zonulin), metabolic endotoxaemia (LBP), sperm DNA oxidative damage (seminal 8 OhDG) and increasing levels of sperm DNA fragmentation (Halosperm). Metabolic endotoxemia was positively correlated with increasing levels of sperm DNA oxidative damage with this relationship remaining significant, even after adjustment for relevant confounders such as age, BMI and days of abstinence. These observations suggest that metabolic endotoxemia and its associated oxidative stress may be a key driver of sperm DNA damage in obese men. CONCLUSION: This study confirms a link between obesity, increasing intestinal permeability and endotoxin exposure, and oxidative mediated sperm DNA damage. This warrants further investigation to fully understand the effect of metabolic endotoxemia on male reproductive function which could result in the new therapies to improve male fertility potential.

A 4-week nutrition and therapeutics course in an undergraduate pharmacy program.

OBJECTIVE: To determine the effectiveness of an intensive 4-week nutrition course in increasing the knowledge of undergraduate pharmacy students. DESIGN: A Nutrition and Therapeutics elective course was developed that covered the Australian Guide to Healthy Eating, as well as nutrition labeling, food composition, functional foods, diabetes, cardiovascular disease, nutrition and cancer, osteoporosis, nutrient-drug interactions, nutritional supplements, weight management, and infant feeding. The course was taught using lectures, student-focused tutorials featuring evidence-based practice, problem-based learning exercises, case-based scenarios, media examples, video clips from the lay press, and articles from the professional/scientific literature. ASSESSMENT: A self-administered, validated questionnaire on dietary recommendations, sources of nutrients, choosing everyday foods, and diet-disease relationship was administered prior to and after completion of the course. Students' scores in all 4 areas improved significantly; however, their knowledge of the national dietary recommendations, sources of nutrients, and everyday foods high in nutrients was below that of members of the community. CONCLUSIONS: Nutritional education courses can increase the nutrition knowledge of undergraduate pharmacy students. The need for pharmacists to advise patients regarding nutritional supplements continues to increase the need for incorporating nutrition courses within curriculum.

Continuous glucose monitoring and cognitive performance in type 2 diabetes.

BACKGROUND: Type 2 diabetes is associated with reductions in cognitive function that are associated with glycated hemoglobin (HbA1c) levels, but there is no information on whether cognition is related to postmeal glucose spikes. We explored the relationship of cognition to glucose levels measured by a continuous glucose monitoring system (CGMS) both before and after a weight loss diet. SUBJECTS AND METHODS: Forty-four white subjects with type 2 diabetes (59.0 ± 6.2 years old; body mass index, 32.8 ± 4.2 kg/m(2); HbA1c, 6.9 ± 1.0%) completed an 8-week energy-restricted (approximately 6-7 MJ, 30% deficit) diet. Cognitive functioning (short-term memory, working memory, speed of processing [inspection time], psychomotor speed, and executive function) was assessed during four practice sessions, baseline, and Week 8. Parallel glucose levels were attained using the CGMS in 27 subjects. Outcomes were assessed by fasting blood glucose (FBG), postprandial peak glucose (G(max)), time spent >12 mmol/L (T > 12), and 24-h area under the glucose curve (AUC(24)). RESULTS: Despite a fall in FBG of 0.65 mmol/L after 8 weeks, digits backward results correlated with FBG at both Week 0 and Week 8 (r = -0.43, P < 0.01 and r = -0.32, P < 0.01, respectively). Digits forward results correlated with FBG (r = -0.39, P < 0.01), G(max) (r = -0.46, P < 0.05), and AUC(24) (r = -0.50, P < 0.01) at Week 0 and FBG (r = -0.59, P < 0.001), G(max) (r = 0.37, P = 0.01), AUC(24) (r = -0.41, P < 0.01), and percentage weight loss (r = 0.31, P < 0.01) at Week 8. Cognitive function was not altered by weight loss, gender, baseline lipid levels, or premorbid intelligence levels (National Adult Reading Test). CONCLUSIONS: FBG, G(max,) and AUC(24) were related to cognitive function and an energy-restricted diet for 8 weeks did not alter this relationship.

Egg consumption as part of an energy-restricted high-protein diet improves blood lipid and blood glucose profiles in individuals with type 2 diabetes.

The role of dietary cholesterol in people with diabetes has been little studied. We investigated the effect of a hypoenergetic high-protein high-cholesterol (HPHchol) diet compared to a similar amount of animal protein (high-protein low-cholesterol, HPLchol) on plasma lipids, glycaemic control and cardiovascular risk markers in individuals with type 2 diabetes. A total of sixty-five participants with type 2 diabetes or impaired glucose tolerance (age 54·4 (sd 8·2) years; BMI 34·1 (sd 4·8) kg/m2; LDL-cholesterol (LDL-C) 2·67 (sd 0·10) mmol/l) were randomised to either HPHchol or HPLchol. Both hypoenergetic dietary interventions (6-7 MJ; 1·4-1·7 Mcal) and total carbohydrate:protein:fat ratio of 40:30:30 % were similar but differed in cholesterol content (HPHchol, 590 mg cholesterol; HPLchol, 213 mg cholesterol). HPHchol participants consumed two eggs per d, whereas HPHchol participants replaced the eggs with 100 g of lean animal protein. After 12 weeks, weight loss was 6·0 (sd 0·4) kg (P < 0·001). LDL-C and homocysteine remained unchanged. All the subjects reduced total cholesterol ( - 0·3 (sd 0·1) mmol/l, P < 0·001), TAG ( - 0·4 (sd 0·1) mmol/l, P < 0·001), non-HDL-cholesterol (HDL-C, - 0·4 (sd 0·1) mmol/l, P < 0·001), apo-B ( - 0·04 (sd 0·02) mmol/l, P < 0·01), HbA1c ( - 0·6 (sd 0·1) %, P < 0·001), fasting blood glucose ( - 0·5 (sd 0·2) mmol/l, P < 0·01), fasting insulin ( - 1·7 (sd 0·7) mIU/l, P < 0·01), systolic blood pressure ( - 7·6 (sd 1·7) mmHg, P < 0·001) and diastolic blood pressure ( - 4·6 (sd 1·0) mmHg; P < 0·001). Significance was not altered by diet, sex, medication or amount of weight loss. HDL-C increased on HPHchol (+0·02 (sd 0·02) mmol/l) and decreased on HPLchol ( - 0·07 (sd 0·03) mmol/l, P < 0·05). Plasma folate and lutein increased more on HPHchol (P < 0·05). These results suggest that a high-protein energy-restricted diet high in cholesterol from eggs improved glycaemic and lipid profiles, blood pressure and apo-B in individuals with type 2 diabetes.

Effect of carbohydrate distribution on postprandial glucose peaks with the use of continuous glucose monitoring in type 2 diabetes.

BACKGROUND: Large postprandial glucose peaks are associated with increased risk of diabetic complications and cardiovascular disease. OBJECTIVE: We investigated the effect of carbohydrate distribution on postprandial glucose peaks with continuous blood glucose monitoring (CGMS), when consuming a moderate carbohydrate diet in energy balance in subjects with type 2 diabetes. DESIGN: Twenty-three subjects with type 2 diabetes were randomly assigned to each of four 3-d interventions in a crossover design with a 4-d washout period. Identical foods were provided for each treatment with a ratio of total carbohydrate to protein to fat of 40%:34%:26% but differing in carbohydrate content at each meal: even distribution (CARB-E; approximately 70 g carbohydrate), breakfast (CARB-B), lunch (CARB-L), and dinner(CARB-D), each providing approximately 125 g carbohydrate in the loaded meal in a 9-MJ diet. Glucose concentrations were continuously measured with CGMS. Outcomes were assessed by postprandial peak glucose (G(max)), time spent > 12 mmol/L (T > 12), and total area under the glucose curve (AUC(20)). RESULTS: Daily G(max) differed between treatments (P = 0.003) with CARB-L (14.2 +/- 1.0 mmol/L), CARB-E (14.5 +/- 0.9 mmol/L), and CARB-D (14.6 +/- 0.8 mmol/L) being similar but lower than CARB-B (16.5 +/- 0.8 mmol/L). Meal G(max) was weakly related to carbohydrate amount and glycemic load (r = 0.40-0.44). T > 12 differed between treatments (P = 0.014), and a treatment x fasting blood glucose (FBG) interaction (P = 0.003) was observed with CARB-L (184 +/- 74 min) < CARB-B (190 +/- 49 min) < CARB-D (234 +/- 87 min) < CARB-E (262 +/- 91 min). Total AUC(20) was not significantly different between treatments. After adjustment for FBG, treatment became significant (P = 0.006); CARB-L (10 049 +/- 718 mmol/L x 20 h) < CARB-E (10 493 +/- 706 mmol/L x 20 h) < CARB-B (10 603 +/- 642 mmol/L x 20 h) < CARB-D (10 717 +/- 638 mmol/L x 20 h). CONCLUSION: CARB-E did not optimize blood glucose control as assessed by postprandial peaks, whereas CARB-L provided the most favorable postprandial profile.