Dr Kris Pezdirc
Clinical Trial Project Officer
School of Medicine and Public Health
- Phone:(02) 4085 4956
Dr. Pezdirc is a post-doctoral researcher at the Priority Research Centre for Physical Activity and Nutrition and the School of Health Sciences. She was awarded her PhD from the University of Newcastle in February 2016. She also completed a Bachelor of Nutrition and Dietetics (Hons I) at the University of Newcastle in 2010.
Dr Pezdirc’s research focuses on young adults , fruit and vegetable intake and carotenoids and skin colour.
- Doctor of Philosophy, University of Newcastle
- Bachelor of Nutrition and Dietetics (Honours), University of Newcastle
- fruit and vegetables
- skin colour
- young adults
- Slovene (Mother)
|Dates||Title||Organisation / Department|
|1/1/2016 - 31/12/2016||Research Associate||Faculty of Health and Medicine, University of Newcastle
|1/1/2016 - 22/7/2016||Post Doctoral Researcher||School of Medicine & Public Health, Faculty of Health & Medicine, University of Newcastle | Australia
|Dates||Title||Organisation / Department|
|1/7/2014 - 31/12/2015||Research Assistant||School of Medicine & Public Health, Faculty of Health & Medicine, University of Newcastle | Australia
|1/3/2012 - 31/12/2013||Research Assistant||Priority Research Centre for Physical Acivity and Nutrition
|1/8/2013 - 31/12/2014||
Casual Research Assistant , Physiotherapy Dr Snodgrass
|The University of Newcastle - The School of Health Sciences
HMRI Travel award
Hunter Medical Research Institute
Best RHD publication (Nutrition theme)
Priority Research Centre for Physical Acivity and Nutrition
Student Travel Grant
Nutrition Society Australia
Student Travel Grant
Nutrition Society Australia
Thomson Family PhD Top up scholarhsip
Hunter Medical Research Council
|Year||Title / Rationale|
|2017||Review workshop "50 Shades of review" at School of Health Sciences, Research Day|
|2016||Can dietary intake influence perception of and measured appearance . Invited speaker at ICMAS 2016, Paris|
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (16 outputs)
Hlaing-hlaing H, Pezdirc K, Tavener M, James EL, Hure A, 'Diet quality indices used in australian and new zealand adults: A systematic review and critical appraisal', Nutrients, 12 1-30 (2020) [C1]
Distilling the complexity of overall diet into a simple measure or summative score by data reduction methods has become a common practice in nutritional epidemiology. Recent revie... [more]
Distilling the complexity of overall diet into a simple measure or summative score by data reduction methods has become a common practice in nutritional epidemiology. Recent reviews on diet quality indices (DQI) have highlighted the importance of sound construction criteria and validation. The aim of this current review was to identify and critically appraise all DQI used within Australian and New Zealand adult populations. Twenty-five existing DQI were identified by electronic searching in Medline and hand searching of reference lists. DQI were constructed based on the respective national dietary guidelines and condition-specific recommendations. For preferable features of DQI, six captured the dimensions of adequacy, moderation and balance; five had a nested structure; 12 consisted of foods, food groups and nutrients; 11 used metric scoring systems and most of those with metric scales used normative cutoff points. Food frequency questionnaires, either alone or with other methods, were the most common dietary assessment method used in 20 DQI. For evaluation of DQI, construct validity and relative validity are reported. Based on our critical appraisal, Dietary Guideline Index (DGI), Dietary Guideline Index-2013 (DGI- 2013), Total Diet Score (TDS), Healthy Eating Index for Australian Adults-2013 (HEIFA-2013), and Aussie-Diet Quality Index (Aussie-DQI) were the preferred DQI used in Australian adults according to dimension, indicator selection, scoring criteria and evaluation. Further work is needed to enhance the construction of all Australian and New Zealand DQI, especially in terms of dimension and structure, for alignment with recommended construction criteria.
Haslam RL, Pezdirc K, Truby H, Attia J, Hutchesson M, Burrows T, et al., 'Investigating the efficacy and cost-effectiveness of technology-delivered personalized feedback on dietary patterns in young Australian adults in the advice, ideas, and motivation for my eating (Aim4Me) study: Protocol for a randomized controlled trial', JMIR Research Protocols, 9 (2020)
Background: Web-based health interventions may be easier to access and time efficient relative to face-to-face interventions and therefore may be the most appropriate mode to enga... [more]
Background: Web-based health interventions may be easier to access and time efficient relative to face-to-face interventions and therefore may be the most appropriate mode to engage young adults. Objective: This study aims to investigate the impact of 3 different levels of personalized web-based dietary feedback and support on changes in diet quality. Methods: The Advice, Ideas, and Motivation for My Eating (Aim4Me) study is a 12-month assessor-blinded, parallel-group randomized controlled trial evaluating the impact of 3 levels of web-based feedback on diet quality, measured using the Australian Recommended Food Score (ARFS). Participants (N=2570) will primarily be recruited via web-based methods and randomized to 1 of 3 groups. Group 1 (control) will receive the Healthy Eating Quiz, a web-based dietary assessment tool that generates a brief feedback report on diet quality. Individuals randomized to this group can use the brief feedback report to make positive dietary changes. Group 2 will receive the Australian Eating Survey, a web-based dietary assessment tool that generates a comprehensive feedback report on diet quality as well as macro- and micronutrient intake. Group 2 will use the comprehensive feedback report to assist in making positive dietary changes. They will also have access to the Aim4Me website with resources on healthy eating and tools to set goals and self-monitor progress. Group 3 will receive the same intervention as Group 2 (ie, the comprehensive feedback report) in addition to a tailored 30-min video consultation with an accredited practicing dietitian who will use the comprehensive feedback report to assist individuals in making positive dietary changes. The self-determination theory was used as the framework for selecting appropriate website features, including goal setting and self-monitoring. The primary outcome measure is change in diet quality. The completion of questionnaires at baseline and 3, 6, and 12 months will be incentivized with a monetary prize draw. Results: As of December 2019, 1277 participants have been randomized. Conclusions: The web-based delivery of nutrition interventions has the potential to improve dietary intake of young adults. However, the level of support required to improve intake is unknown.
Clarke ED, Rollo ME, Collins CE, Haslam RL, Pezdirc K, Haslam RL, Haslam RL, 'Urinary biomarkers of dietary intake: A review', Nutrition Reviews, 78 364-381 (2020) [C1]
Dietary intakes are commonly assessed by established methods including food frequency questionnaires, food records, or recalls. These self-report methods have limitations impactin... [more]
Dietary intakes are commonly assessed by established methods including food frequency questionnaires, food records, or recalls. These self-report methods have limitations impacting validity and reliability. Dietary biomarkers provide objective verification of self-reported food intakes, and represent a rapidly evolving area. This review aims to summarize the urinary biomarkers of individual foods, food groups, dietary patterns, or nutritional supplements that have been evaluated to date. Six electronic databases were searched. Included studies involved healthy populations, were published from 2000, and compared measured dietary intake with urinary markers. The initial search identified 9985 studies; of these, 616 full texts were retrieved and 109 full texts were included. Of the included studies, 67 foods and food components were studied, and 347 unique urinary biomarkers were identified. The most reliable biomarkers identified were whole grains (alkylresorcinols), soy (isoflavones), and sugar (sucrose and fructose). While numerous novel urinary biomarkers have been identified, further validation studies are warranted to verify the accuracy of self-reported intakes and utility within practice.
Ashton L, Williams R, Wood L, Schumacher T, Burrows T, Rollo M, et al., 'The comparative validity of a brief diet screening tool for adults: The Fruit And Vegetable VAriety index (FAVVA)', Clinical Nutrition ESPEN, 29 189-197 (2019) [C1]
Background & aims: A brief assessment tool on frequency and variety of fruit and vegetable intake could provide a cost-effective and sustainable approach to improving diet. Th... [more]
Background & aims: A brief assessment tool on frequency and variety of fruit and vegetable intake could provide a cost-effective and sustainable approach to improving diet. The primary aim was to evaluate the comparative validity of a brief index of Fruit And Vegetable VAriety (FAVVA) relative to food and nutrient intakes derived from a comprehensive food frequency questionnaire (FFQ). The secondary aim was to evaluate the FAVVA index in relation to fasting plasma carotenoid concentrations. Methods: Dietary intakes and fasting plasma carotenoid concentrations of 99 overweight and obese adults (49.5% female; 44.6 ± 9.9 years) were assessed at baseline and 3-months. Food and nutrient intakes were assessed using the Australian Eating Survey (AES) FFQ. The FAVVA index was derived from a sub-set of 35 AES questions related to fruit and vegetable intake frequency and variety. Associations were assessed using Spearman's correlation coefficients and linear regression analysis, and agreement using weighted kappa (K ). Results: Total FAVVA score demonstrated moderate to strong, significant (all p < 0.01) correlations with total daily intakes of vegetables (r = 0.75), vitamin C (r = 0.71), fruit (r = 0.66), vitamin A (r = 0.49), fibre (r = 0.49), potassium (r = 0.46), magnesium (r = 0.39), iron (r = 0.26), riboflavin (r = 0.24), calcium (r = 0.23), zinc (r = 0.20) and niacin equivalent (r = 0.20). These associations remained significant in the adjusted regression analyses and agreement testing. Total FAVVA was significantly correlated with plasma carotenoid concentrations (µg/dL) of a¿carotene (r = 0.22, p < 0.01), ß¿carotene (r = 0.26, p < 0.001), ß¿cryptoxanthin (r = 0.22, p < 0.01) and total carotenoids (r = 0.18, p < 0.05). The associations with a¿carotene (ß = 0.09, p < 0.001), ß¿carotene (ß = 0.42, p < 0.05) and total plasma carotenoids (ß = 0.85, p < 0.05) remained significant in the adjusted regression analyses and for agreement testing. Conclusions: FAVVA is suitable as a brief tool to rank frequency and variety of fruit and vegetable intake. w
Ashton LM, Pezdirc KB, Hutchesson MJ, Rollo ME, Collins CE, 'Is skin coloration measured by reflectance spectroscopy related to intake of nutrient-dense foods? A cross-sectional evaluation in Australian young adults', Nutrients, 10 (2018) [C1]
Pezdirc K, Rollo ME, Whitehead R, Hutchesson MJ, Ozakinci G, Perrett D, Collins CE, 'Perceptions of carotenoid and melanin colouration in faces among young Australian adults', Australian Journal of Psychology, 70 85-90 (2018) [C1]
Objective: Human skin colour is influenced by three pigments: haemoglobin, carotenoids, and melanin. Carotenoids are abundant in fruits and vegetables, and when consumed accumulat... [more]
Objective: Human skin colour is influenced by three pigments: haemoglobin, carotenoids, and melanin. Carotenoids are abundant in fruits and vegetables, and when consumed accumulate in all layers of the skin, predominantly imparting yellowness (b*). This study investigated the effect of the manipulation of carotenoid-based skin colour, relative to the skin colour conferred by melanin on the perceptions of health amongst a group of Australian adults. Method: Fifty-seven participants (n = 4 male; mean age 27.9 ± 7.5 years) completed three computer-based experiments on 50 trial faces. In the first two experiments, face image colour was manipulated along one or two independent single carotenoid or melanin axes on each trial to ¿make the face appear as healthy as possible¿. In the third trial, face colour was manipulated on both the carotenoid and melanin axes simultaneously. Results: For the single axis, participants significantly increased melanin colouration and added carotenoid colouration to facial images that were initially low in skin yellowness (b*). When carotenoid and melanin axes were simultaneously manipulated, carotenoid colouration was raised (¿E = 3.15 (SE ±0.19)) and melanin colouration was lowered (¿E = -1.04 (SE ±0.1)). Conclusions: Young Australian adults perceive facial skin colouration, associated with both carotenoid intake from fruit and vegetables and melanin due to sun exposure as conveying the appearance of health in young adults. However, carotenoid colouration was more important to health perception.
Coyle DH, Pezdirc K, Hutchesson MJ, Collins CE, 'Intake of specific types of fruit and vegetables is associated with higher levels of skin yellowness in young women: A cross-sectional study', Nutrition Research, 56 23-31 (2018) [C1]
Carotenoids are fat-soluble pigments primarily found in fruits and vegetables. They accumulate in human skin and contribute to skin yellowness, which has a favorable effect on app... [more]
Carotenoids are fat-soluble pigments primarily found in fruits and vegetables. They accumulate in human skin and contribute to skin yellowness, which has a favorable effect on appearance. The association between specific fruit and vegetable intakes and skin yellowness is currently unknown and could help to promote increased fruit and vegetable consumption in those motivated by appearance, such as young women. The objective was to evaluate associations between specific fruit and vegetable intakes and skin yellowness in young women. It was hypothesized that the intake of fruits and vegetables known to be rich in carotenoids, particularly ß-carotene, would account for the greatest variation in skin yellowness. One hundred and eighteen women (18¿40 years) were recruited from the Hunter region, NSW, Australia. Fruit and vegetable intakes were assessed using the 2010 Australian Eating Survey Food Frequency Questionnaire and skin yellowness was measured using reflectance spectroscopy. Multiple linear regression was used to assess how much of the variation in skin yellowness is explained by fruit and vegetable intakes. Higher combined fruit and vegetable intake (P =.0004) and higher total fruit intake (P =.005) were associated with increased skin yellowness. Three specific fruits (apple/pear, mango/pawpaw and dried fruit) and five vegetables (beans/lentils, spinach, broccoli, corn, baked beans) also accounted for a significant proportion of the variation in skin yellowness (P <.05). In conclusion, the consumption of eight specific fruits and vegetables and total combined fruit and vegetable intake are positively associated with skin yellowness and this confers a desirable effect on appearance.
Ashton L, Williams R, Wood L, Schumacher T, Burrows T, Rollo M, et al., 'Comparison of Australian recommended food score (ARFS) and plasma carotenoid concentrations: A validation study in adults', Nutrients, 9 (2017) [C1]
Pezdirc K, Hutchesson MJ, Williams RL, Rollo ME, Burrows TL, Wood LG, et al., 'Consuming High-Carotenoid Fruit and Vegetables Influences Skin Yellowness and Plasma Carotenoids in Young Women: A Single-Blind Randomized Crossover Trial', Journal of the Academy of Nutrition and Dietetics, 116 1257-1265 (2016) [C1]
Background Consumption of dietary carotenoids from fruits and vegetables (F/V) leads to accumulations in human skin, altering skin yellowness. The influence of the quantity of F/V... [more]
Background Consumption of dietary carotenoids from fruits and vegetables (F/V) leads to accumulations in human skin, altering skin yellowness. The influence of the quantity of F/V consumed on skin yellowness and plasma carotenoid concentrations has not been examined previously. Objective To compare the influence of consuming high-carotenoid-containing F/V (HCFV) (176,425 µg beta carotene/wk) vs low-carotenoid F/V (LCFV) (2,073 µg beta carotene/wk) on skin yellowness and plasma carotenoid concentrations, over 4 weeks. Design and intervention A single-blind randomized controlled crossover trial from October 2013 to March 2014. Thirty women were randomized to receive 7 daily servings of HCFV or LCFV for 4 weeks. Following a 2-week washout period they followed the alternate intervention. Main outcome measures Skin color (Commission Internationale de l'Eclairage L*a*b* color space, where L* represents skin lightness and positive values of a* and b* represent degrees of redness and yellowness, respectively) was assessed by reflectance spectroscopy in both sun-exposed and nonexposed skin areas. Fasting plasma carotenoids were determined by high-performance liquid chromatography, before and after each intervention period. Statistical analyses performed Linear mixed models were used to determine the HCFV and LCFV response on skin color and plasma carotenoids, adjusting for intervention order, time, and interaction between baseline differences and time. Results There were no significant differences in mean daily fruit (P=0.42) and vegetable (P=0.17) intakes between HCFV and LCFV groups. Dietary alpha carotene, beta carotene, lutein, and beta cryptoxanthin intakes were significantly different between the two groups (P<0.01). Following HCFV there was a significantly greater increase in skin yellowness (b*) in both sun-exposed (P<0.001) and unexposed areas, (P<0.001), with no change in skin lightness (L*) or redness (a*). Significantly higher plasma alpha carotene (P=0.004), beta carotene (P=0.001), and lutein (P=0.028) concentrations were found following the HCFV intervention. Skin yellowness correlated with alpha carotene and beta carotene. Conclusions Skin yellowness (b*) and fasting plasma carotenoid concentrations were significantly higher following HCFV than LCFV over 4 weeks.
Collins CE, Bucher T, Taylor A, Pezdirc K, Lucas H, Watson J, et al., 'How big is a food portion? A pilot study in Australian families', Health Promotion Journal of Australia, 26 83-88 (2015) [C1]
Issues addressed It is not known whether individuals can accurately estimate the portion size of foods usually consumed relative to standard serving sizes in national food selecti... [more]
Issues addressed It is not known whether individuals can accurately estimate the portion size of foods usually consumed relative to standard serving sizes in national food selection guides. The aim of the present cross-sectional pilot study was to quantify what adults and children deem a typical portion for a variety of foods and compare these with the serving sizes specified in the Australian Guide to Healthy Eating (AGHE). Methods Adults and children were independently asked to serve out their typical portion of 10 common foods (rice, pasta, breakfast cereal, chocolate, confectionary, ice cream, meat, vegetables, soft drink and milk). They were also asked to serve what they perceived a small, medium and large portion of each food to be. Each portion was weighed and recorded by an assessor and compared with the standard AGHE serving sizes. Results Twenty-one individuals (nine mothers, one father, 11 children) participated in the study. There was a large degree of variability in portion sizes measured out by both parents and children, with means exceeding the standard AGHE serving size for all items, except for soft drink and milk, where mean portion sizes were less than the AGHE serving size. The greatest mean overestimations were for pasta (155%; mean 116 g; range 94-139g) and chocolate (151%; mean 38 g; range 25-50g), each of which represented approximately 1.5 standard AGHE servings. Conclusion The findings of the present study indicate that there is variability between parents' and children's estimation of typical portion sizes compared with national recommendations. So what? Dietary interventions to improve individuals' dietary patterns should target education regarding portion size.
Collins CE, Burrows TL, Rollo ME, Boggess MM, Watson JF, Guest M, et al., 'The comparative validity and reproducibility of a diet quality index for adults: The Australian recommended food score', Nutrients, 7 785-798 (2015) [C1]
Pezdirc K, Hutchesson MJ, Whitehead R, Ozakinci G, Perrett D, Collins CE, 'Fruit, vegetable and dietary carotenoid intakes explain variation in skin-color in young Caucasian women: A cross-sectional study', Nutrients, 7 5800-5815 (2015) [C1]
Fruit and vegetables contain carotenoid pigments, which accumulate in human skin, contributing to its yellowness. This effect has a beneficial impact on appearance. The aim was to... [more]
Fruit and vegetables contain carotenoid pigments, which accumulate in human skin, contributing to its yellowness. This effect has a beneficial impact on appearance. The aim was to evaluate associations between diet (fruit, vegetable and dietary carotenoid intakes) and skin color in young women. Ninety-one Caucasian women (Median and Interquartile Range (IQR) age 22.1 (18.1¿29.1) years, BMI 22.9 (18.5¿31.9) kg/m ) were recruited from the Hunter region (Australia). Fruit, vegetable and dietary carotenoid intakes were estimated by a validated food frequency questionnaire. Skin color was measured at nine body locations (sun exposed and unexposed sites) using spectrophotometry. Multiple linear regression was used to assess the relationship between fruit and vegetable intakes and skin yellowness adjusting for known confounders. Higher combined fruit and vegetable intakes (ß = 0.8, p = 0.017) were associated with higher overall skin yellowness values. Higher fruit combined fruit and vegetable intakes (ß = 1.0, p = 0.004) were associated with increased unexposed skin yellowness. Combined fruit and vegetables plus dietary carotenoid intakes contribute to skin yellowness in young Caucasian women. Evaluation of interventions using improvements in appearance as an incentive for increasing fruit and vegetable consumption in young women is warranted. 2
Pezdirc K, Hutchesson M, Whitehead R, Ozakinci G, Perrett D, Collins CE, 'Can dietary intake influence perception of and measured appearance? A Systematic Review', Nutrition Research, 35 175-197 (2015) [C1]
Appearance-based interventions have had some success in reducing smoking and sun exposure. Appearance may also motivate dietary behavior change if it was established that dietary ... [more]
Appearance-based interventions have had some success in reducing smoking and sun exposure. Appearance may also motivate dietary behavior change if it was established that dietary improvement had a positive impact on appearance. The aims of this review are to evaluate the current evidence examining the relationship between dietary intake and appearance and to determine the effectiveness of dietary interventions on perceived or actual appearance. An electronic search of English-language studies up to August 2012 was conducted using Cochrane, MEDLINE, Embase, CINAHL, Web of Science, SCOPUS, and PsycINFO databases. Studies that included participants aged at least 18 years, that observed or altered dietary intake from actual food or dietary supplement use, and assessed appearance-related outcomes were considered eligible. Data from 27 studies were extracted and assessed for quality using standardized tools. Nineteen studies were assessed as being of "positive" and 4 of "neutral" quality. All observational studies (n = 4741 participants) indicated that there was a significant association between various aspects of dietary intake and skin coloration and skin aging. The majority (16 studies, 769 participants) evaluated the effect of dietary supplements on skin appearance among women. Only 1 study examined the effect of actual food intake on appearance. Significant improvements in at least 1 actual or perceived appearance-related outcome (facial wrinkling, skin elasticity, roughness, and skin color) following dietary intervention were shown as a result of supplementation. Further studies are needed in representative populations that examine actual food intake on appearance, using validated tools in well-designed high-quality randomized control trials.
Collins CE, Boggess MM, Watson JF, Guest M, Duncanson K, Pezdirc K, et al., 'Reproducibility and comparative validity of a food frequency questionnaire for Australian adults', Clinical Nutrition, 33 906-914 (2014) [C1]
Background: Food frequency questionnaires (FFQ) are used in epidemiological studies to investigate the relationship between diet and disease. There is a need for a valid and relia... [more]
Background: Food frequency questionnaires (FFQ) are used in epidemiological studies to investigate the relationship between diet and disease. There is a need for a valid and reliable adult FFQ with a contemporary food list in Australia. Aims: To evaluate the reproducibility and comparative validity of the Australian Eating Survey (AES) FFQ in adults compared to weighed food records (WFRs). Methods: Two rounds of AES and three-day WFRs were conducted in 97 adults (31 males, median age and BMI for males of 44.9 years, 26.2 kg/m , females 41.3 years, 24.0 kg/m . Reproducibility was assessed over six months using Wilcoxon signed-rank tests and comparative validity was assessed by intraclass correlation coefficients (ICC) estimated by fitting a mixed effects model for each nutrient to account for age, sex and BMI to allow estimation of between and within person variance. Results: Reproducibility was found to be good for both WFR and FFQ since there were no significant differences between round 1 and 2 administrations. For comparative validity, FFQ ICCs were at least as large as those for WFR. The ICC of the WFR-FFQ difference for total energy intake was 0.6 (95% CI 0.43, 0.77) and the median ICC for all nutrients was 0.47, with all ICCs between 0.15 (%E from saturated fat) and 0.7 (g/day sugars). Conclusions: Compared to WFR the AES FFQ is suitable for reliably estimating the dietary intakes of Australian adults across a wide range of nutrients. © 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. 2 2
Pezdirc KB, Hure AJ, Blumfield ML, Collins CE, 'Listeria monocytogenes and diet during pregnancy; balancing nutrient intake adequacy v. adverse pregnancy outcomes', Public Health Nutrition, 15 2202-2209 (2012) [C1]
|Show 13 more journal articles|
Conference (8 outputs)
Aguiar E, Ashton L, Collins C, Whatnall M, Pezdirc K, Williams R, Hutchesson M, 'What are the characteristics of a successful intervention in young adults? - Results from a systematic review', ISBNPA 2018 Abstract Book, Hong Kong (2018)
|2016||Pezdirc KB, 'Can dietary intake influence perception of and measured appearance? A systematic Review.', ) Can dietary intake influence perception of and measured appearance? A systematic Review., Paris (2016)|
Rollo M, Whitehead R, Pezdirc K, Hutchesson M, Ozakinci G, Perrett D, Collins CE, 'Perceptions of a healthy appearance: Insights for behavioural interventions targeting fruit and vegetable intake', https://www.isbnpa.org/index.php?r=annualMeeting/index&year=2014, San Diego, USA (2014)
Pezdirc K, Hutchesson M, Collins CE, Whitehead R, Perrett D, Ozakinci G, 'Does dietary intake influence self-perception of and actual appearance? A systematic review', Australasian Medical Journal, Brisbane, Australia (2013) [E3]
Pezdirc K, Hutchesson M, Collins CE, 'Fruit and vegetable intakes, BMI and skin colour in women: A cross-sectional study', Obesity Research and Clinical Practice, Melbourne, Australia (2013) [E3]
Pezdirc KB, Collins CE, Watson JF, Burrows TL, Guest M, Boggess M, Duncanson KR, 'Validation of an adult food frequency questionnaire', Nutrition & Dietetics: Special Issue: Dietitians Association of Australia 16th International Congress of Dietetics, Sydney, NSW (2012) [E3]
|Show 5 more conferences|
Report (1 outputs)
Collins C, Burrows T, Bucher T, Rollo M, Pezdirc K, Haslam R, 'WRAPS: UNWRAPPED ; An independent evidence-based analysis of publicly available nutrition information of top selling wraps.', Quality Bakers, - (2016)
Grants and Funding
|Number of grants||2|
Click on a grant title below to expand the full details for that specific grant.
20161 grants / $21,000
Funding body: Quality Bakers Australia Pty Limited
|Funding body||Quality Bakers Australia Pty Limited|
|Project Team||Professor Clare Collins, Doctor Megan Rollo, Professor Tracy Burrows, Doctor Tamara Bucher, Doctor Kris Pezdirc, Doctor Rebecca Haslam|
|Type Of Funding||Grant - Aust Non Government|
20121 grants / $4,519
Funding body: PRC in Physical Activity and Nutrition, University of Newcastle
|Funding body||PRC in Physical Activity and Nutrition, University of Newcastle|
|Scheme||Priority Research Council (PRC) in Physical Activity and Nutrition Seed Grant Funding|
|Type Of Funding||Internal|
The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.
|Country||Count of Publications|
May 19, 2017
October 16, 2013
Dr Kris Pezdirc
Clinical Trial Project Officer
PRC Physical Activity and Nutrition
School of Medicine and Public Health
College of Health, Medicine and Wellbeing