252 results on '"Batterham, Marijka J"'
Search Results
2. Associations between Dietary Patterns and Blood Pressure in a Clinical Sample of Overweight Adults
3. Relationship between sodium and potassium intake and blood pressure in a sample of overweight adults
4. Effect of individualised dietary advice for weight loss supplemented with walnuts on blood pressure: the HealthTrack study
5. Dietary Patterns and Blood Pressure in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
6. Correction to: Effectiveness of quality incentive payments in general practice (EQuIP-GP): a study protocol for a cluster-randomised trial of an outcomes-based funding model in Australian general practice to improve patient care
7. Effectiveness of quality incentive payments in general practice (EQuIP-GP): a study protocol for a cluster-randomised trial of an outcomes-based funding model in Australian general practice to improve patient care
8. Wrist Acceleration Cut Points for Moderate-to-Vigorous Physical Activity in Youth
9. Analyzing weight loss intervention studies with missing data: Which methods should be used?
10. A high prevalence of malnutrition in acute geriatric patients predicts adverse clinical outcomes and mortality within 12 months
11. Short-term effects of fish and fish oil consumption on total and high molecular weight adiponectin levels in overweight and obese adults
12. Wrist Accelerometer Cut Points for Classifying Sedentary Behavior in Children
13. Pork, beef and chicken have similar effects on acute satiety and hormonal markers of appetite
14. Changes in food choice patterns in a weight loss intervention
15. Translation of Two Healthy Eating and Active Living Support Programs for Parents of 2–6-Year-Old Children: Outcomes of the ‘Time for Healthy Habits’ Parallel Partially Randomised Preference Trial
16. Increases in peptide Y-Y levels following oat β-glucan ingestion are dose-dependent in overweight adults
17. Statistical methods and software used in nutrition and dietetics research: A review of the published literature using text mining
18. METHODS OF DIETARY PATTERN ANALYSIS IN WEIGHT-LOSS DIETARY INTERVENTIONS: DETAILED FOOD CATEGORIES AND A DIET QUALITY TOOL
19. Comparing attitudes to fish consumption between clinical trial participants and non-trial individuals
20. Statistical requirements for reporting nutrition research
21. Diet high in oat β-glucan activates the gut-hypothalamic (PYY3–36-NPY) axis and increases satiety in diet-induced obesity in mice
22. Whole grain and cereal fibre intake in the Australian Health Survey: associations to CVD risk factors
23. Whole grain intake compared with cereal fibre intake in association to CVD risk factors: a cross-sectional analysis of the National Diet and Nutrition Survey (UK)
24. Nut consumption in a representative survey of Australians: a secondary analysis of the 2011–2012 National Nutrition and Physical Activity Survey
25. Oat β-glucan increases postprandial cholecystokinin levels, decreases insulin response and extends subjective satiety in overweight subjects
26. Investigating heterogeneity in studies of resting energy expenditure in persons with HIV/AIDS: a meta-analysis
27. Modifying dietary fat intake can reduce serum cholesterol in HIV-associated hypercholesterolemia
28. Prevalence and predictors of HIV-associated weight loss in the era of highly active antiretroviral therapy
29. Dietary intake, serum lipids, insulin resistance and body composition in the era of highly active antiretroviral therapy ‘Diet FRS Study’
30. How to use replicate weights in health survey analysis using the National Nutrition and Physical Activity Survey as an example
31. Can Parental Engagement in Social Media Enhance Outcomes of an Online Healthy Lifestyle Program for Preschool-Aged Children?
32. Whole grain, bran and cereal fibre consumption and CVD: a systematic review
33. An Internet-Based Childhood Obesity Prevention Program (Time2bHealthy) for Parents of Preschool-Aged Children: Randomized Controlled Trial
34. A school-based intervention to promote physical activity among adolescent girls: Rationale, design, and baseline data from the Girls in Sport group randomised controlled trial
35. The Nutrition and Enjoyable Activity for Teen Girls (NEAT girls) randomized controlled trial for adolescent girls from disadvantaged secondary schools: rationale, study protocol, and baseline results
36. Wrist acceleration cut points for moderate-to-vigorous physical activity in youth: Corrigendum
37. Can Parental Engagement in Social Media Enhance Outcomes of an Online Healthy Lifestyle Program for Preschool-Aged Children?
38. An Internet-Based Childhood Obesity Prevention Program (Time2bHealthy) for Parents of Preschool-Aged Children: Randomized Controlled Trial (Preprint)
39. Identifying usual food choices at meals in overweight and obese study volunteers: implications for dietary advice
40. Association between plant-based diet quality and chronic kidney disease in Australian adults.
41. Validation of thigh-based accelerometer estimates of postural allocation in 5-12 year-olds
42. Wrist accelerometer cut-points for classifying sedentary behavior in children
43. Validation of thigh-based accelerometer estimates of postural allocation in 5-12 year-olds
44. The effect of nut consumption on markers of inflammation and endothelial function: a systematic review and meta-analysis of randomised controlled trials
45. Effect of interdisciplinary care on weight loss: a randomised controlled trial
46. Outcomes of multisite antimicrobial stewardship programme implementation with a shared clinical decision support system
47. Validation of thigh-based accelerometer estimates of postural allocation in 5–12 year-olds
48. A Diet Enriched with Red Sorghum Flaked Biscuits, Compared to a Diet Containing White Wheat Flaked Biscuits, Does Not Enhance the Effectiveness of an Energy-Restricted Meal Plan in Overweight and Mildly Obese Adults
49. Impact of providing walnut samples in a lifestyle intervention for weight loss: a secondary analysis of the HealthTrack trial
50. Validation of the SenseWear Mini activity monitor in 5−12-year-old children
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