11 results on '"CHUN-YU LOUIE, JIMMY"'
Search Results
2. The Contribution of Major Food Categories and Companies to Household Purchases of Added Sugar in Australia.
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Coyle, Daisy H, Shahid, Maria, Dunford, Elizabeth K, Ni Mhurchu, Cliona, Scapin, Tailane, Trieu, Kathy, Marklund, Matti, Chun Yu Louie, Jimmy, Neal, Bruce, Wu, Jason H Y, Coyle, Daisy H, Shahid, Maria, Dunford, Elizabeth K, Ni Mhurchu, Cliona, Scapin, Tailane, Trieu, Kathy, Marklund, Matti, Chun Yu Louie, Jimmy, Neal, Bruce, and Wu, Jason H Y
- Abstract
BACKGROUND: The Australian Government will soon be releasing a series of sugar reformulation targets for packaged foods. OBJECTIVE: To estimate the amount of added sugar purchased from packaged food and beverages and the relative contribution that food categories and food companies made to these purchases in 2018. The secondary objective was to examine differences in purchases of added sugar across income levels. DESIGN: Cross-sectional study. PARTICIPANTS/SETTING: We used 1 year of grocery purchase data from a nationally representative panel of Australian households (the NielsenIQ Homescan panel), combined with a packaged food and beverage database (FoodSwitch). MAIN OUTCOME MEASURES: Added sugar purchases (grams per day per capita), purchase-weighted added sugar content (grams per 100 g) and total weight of products (with added sugar) purchased (grams per day per capita). STATISTICAL ANALYSES PERFORMED: Food categories and food companies were ranked according to their contribution to added sugar purchases. Differences in added sugar purchases by income levels were assessed by 1-factor analysis of variance. RESULTS: Added sugar information was available from 7188 households and across 26,291 unique foods and beverages. On average, the amount of added sugar acquired from packaged foods and beverages was (mean ± SE) 35.9 ± 0.01 g/d per capita. Low-income households purchased 11.0 g/d (95% CI: 10.9-11.0 g/d, P < .001) more added sugar from packaged products than high-income households per capita. The top 10 food categories accounted for 82.2% of added sugar purchased, largely due to purchases of chocolate and sweets, soft drinks, and ice cream and edible ices. Out of 994 food companies, the top 10 companies contributed to 62.1% of added sugar purchases. CONCLUSIONS: The Australian Government can strengthen their proposed sugar reduction program by adding further category-specific targets, prioritizing engagement with key food companies and considering a broader ran
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- 2022
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3. The relationship between resistant starch and glycemic control: A review on current evidence and possible mechanisms.
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Hon Ting Wong, Tommy and Chun Yu Louie, Jimmy
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GUT microbiome , *INSULIN resistance , *TYPE 2 diabetes , *GLUCOSE metabolism , *GLYCEMIC control , *SHORT-chain fatty acids - Abstract
Good glycemic control, which is vital for patients with type 2 diabetes, can be achieved via dietary intervention. Resistant starch (RS) is a type of carbohydrate that largely resists digestion in the small intestine. Instead, it is fermented by the gut microbiota that resides in the large intestine into short-chain fatty acids (SCFAs), which are found to have beneficial effects on human glucose metabolism. Here, an overview is provided of the classification of different types of RS, as well as the fermentation process of RS by the gut microbiota. The effects of RS consumption that contribute to glycemic control are then discussed with reference to animal and human studies. Although beneficial effects of RS consumption have been observed, results from animal and human studies are inconclusive regarding the mechanisms behind them. Additional research effort is necessary in order to have a better understanding of the effects of habitual RS consumption on glycemic control. [ABSTRACT FROM AUTHOR]
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- 2017
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4. Changes in dietary glycemic index and glycemic load in Australian adults from 1995 to 2012.
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Kusnadi, Devina Tri Lestrai, Barclay, Alan W., Brand-Miller, Jennie C., and Chun Yu Louie, Jimmy
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GLYCEMIC index ,AUSTRALIANS ,DIET research ,PHYSIOLOGICAL effects of carbohydrates ,HEALTH of adults ,NUTRITION surveys ,PHYSICAL activity ,NUTRITIONAL value of bread ,HEALTH ,CARBOHYDRATE content of food ,NUTRITIONAL assessment ,ANALYSIS of variance ,BREAD ,DIET ,GRAIN ,PROBABILITY theory ,SURVEYS ,MULTIPLE regression analysis ,DESCRIPTIVE statistics - Abstract
Background: Australians have used the glycemic index (GI) since 1995; however, there are no data on changes in carbohydrate quality over time. Objectives: The aim was to compare average dietary GI and glycemic load (GL), and contributing carbohydrate foods, in the 2 most recent national dietary surveys. Design: Dietary data from adult participants of national nutrition surveys conducted in 1995 (the 1995 Australian National Nutrition Survey; n = 8703) and 2012 (the 2011-2012 National Nutrition and Physical Activity Survey; n = 6278), collected by a single 24-h recall, were analyzed. The differences in mean dietary GI and GL between surveys were compared by using 1-factor ANOVA. The main sources of dietary GL in the 2 surveys were also assessed. Multiple linear regression was performed to examine the contributions of the food groups to interindividual variations in dietary GI and GL. Results: Overall, dietary GI and GL decreased by 5% and 12%, respectively, from 1995 to 2012 (GI on glucose standard: 56.5 6 6.2 compared with 53.9 ± 6.8, respectively; GL: 153.3 ± 62.1 compared with 135.46 58.5, respectively; both P < 0.001). Breads were the main contributor to GL at both time points. Potatoes and sweetened beverages contributed less, whereas cereal-based dishes contributed more in 2012 than in 1995. The top 20 GL-contributing food groups explained less interindividual variation in dietary GI (R²: 0.376 compared with 0.290) and GL (R²: 0.825 compared with 0.770) in 2012 than in 1995. Conclusion: Although the average dietary GI and GL declined between 1995 and 2012, trends in specific carbohydrate foods suggest that Australians are avoiding potatoes and sugary beverages in favor of a greater variety of carbohydrate foods, particularly cereal products. [ABSTRACT FROM AUTHOR]
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- 2017
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5. No need to change dairy food dietary guidelines yet.
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Chun Yu Louie, Jimmy, Rangan, Anna M., and Louie, Jimmy Chun Yu
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CLINICAL trials , *NUTRITIONAL requirements , *CARDIOVASCULAR diseases , *META-analysis , *DAIRY products , *COMPARATIVE studies , *LONGITUDINAL method , *RESEARCH methodology , *MEDICAL cooperation , *NUTRITION policy , *RESEARCH , *EVALUATION research - Abstract
The article focuses on research about the role of dairy products in the development of cardiovascular disease and mortality and a trend towards a protective effect, and the association between dairy consumption and cardiovascular disease. Information about the findings on the association of dairy food intake with cardiovascular disease and mortality from the Prospective Urban Rural Epidemiology study is presented.
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- 2018
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6. Dietary intake and food sources of added sugar in the Australian population.
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Linggang Lei, Rangan, Anna, Flood, Victoria M., and Chun Yu Louie, Jimmy
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COMPARATIVE studies ,DIET ,FOOD ,INGESTION ,NUTRITION policy ,NUTRITIONAL requirements ,REGRESSION analysis ,SURVEYS ,CONTENT mining ,DESCRIPTIVE statistics ,ENERGY density ,DIETARY sucrose ,ONE-way analysis of variance ,NUTRIENT density - Abstract
Previous studies in Australian children/adolescents and adults examining added sugar (AS) intake were based on now out-of-date national surveys. We aimed to examine the AS and free sugar (FS) intakes and the main food sources of AS among Australians, using plausible dietary data collected by a multiple-pass, 24-h recall, from the 2011-12 Australian Health Survey respondents (n 8202). AS and FS intakes were estimated using a previously published method, and as defined by the WHO, respectively. Food groups contributing to the AS intake were described and compared by age group and sex by one-way ANOVA. Linear regression was used to test for trends across age groups. Usual intake of FS (as percentage energy (%EFS)) was computed using a published method and compared with the WHO cut-off of <10%EFS. The mean AS intake of the participants was 60·3 (SD 52·6) g/d. Sugar-sweetened beverages accounted for the greatest proportion of the AS intake of the Australian population (21·4 (SD 30·1) %), followed by sugar and sweet spreads (16·3 (SD 24·5) %) and cakes, biscuits, pastries and batterbased products (15·7 (SD 24·4) %). More than half of the study population exceeded the WHO's cut-off for FS, especially children and adolescents. Overall, 80-90% of the daily AS intake came from high-sugar energy-dense and/or nutrient-poor foods. To conclude, the majority of Australian adults and children exceed the WHO recommendation for FS intake. Efforts to reduce AS intake should focus on energy-dense and/or nutrient-poor foods. [ABSTRACT FROM AUTHOR]
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- 2016
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7. Randomized Controlled Trial Investigating the Effects of a Low-Glycemic Index Diet on Pregnancy Outcomes in Women at High Risk of Gestational Diabetes Mellitus: The GI Baby 3 Study.
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Markovic, Tania P., Muirhead, Ros, Overs, Shannon, Ross, Glynis P., Chun Yu Louie, Jimmy, Kizirian, Nathalie, Denyer, Gareth, Petocz, Peter, Hyett, Jon, Brand-Miller, Jennie C., and Louie, Jimmy Chun Yu
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GLYCEMIC index ,GESTATIONAL diabetes ,RANDOMIZED controlled trials ,PLETHYSMOGRAPHY ,HEALTH outcome assessment ,BIRTH weight ,METABOLIC profile tests ,COMPARATIVE studies ,DIET ,DIETARY fiber ,FOOD habits ,RESEARCH methodology ,EVALUATION of medical care ,MEDICAL cooperation ,PREGNANCY ,RESEARCH ,EVALUATION research ,PREVENTION - Abstract
Objective: Dietary interventions can improve pregnancy outcomes in women with gestational diabetes mellitus (GDM). We compared the effect of a low-glycemic index (GI) versus a conventional high-fiber (HF) diet on pregnancy outcomes, birth weight z score, and maternal metabolic profile in women at high risk of GDM.Research Design and Methods: One hundred thirty-nine women [mean (SD) age 34.7 (0.4) years and prepregnancy BMI 25.2 (0.5) kg/m(2)] were randomly assigned to a low-GI (LGI) diet (n = 72; target GI ∼50) or a high-fiber, moderate-GI (HF) diet (n = 67; target GI ∼60) at 14-20 weeks' gestation. Diet was assessed by 3-day food records and infant body composition by air-displacement plethysmography, and pregnancy outcomes were assessed from medical records.Results: The LGI group achieved a lower GI than the HF group [mean (SD) 50 (5) vs. 58 (5); P < 0.001]. There were no differences in glycosylated hemoglobin, fructosamine, or lipids at 36 weeks or differences in birth weight [LGI 3.4 (0.4) kg vs. HF 3.4 (0.5) kg; P = 0.514], birth weight z score [LGI 0.31 (0.90) vs. HF 0.24 (1.07); P = 0.697], ponderal index [LGI 2.71 (0.22) vs. HF 2.69 (0.23) kg/m(3); P = 0.672], birth weight centile [LGI 46.2 (25.4) vs. HF 41.8 (25.6); P = 0.330], % fat mass [LGI 10 (4) vs. HF 10 (4); P = 0.789], or incidence of GDM.Conclusions: In intensively monitored women at risk for GDM, a low-GI diet and a healthy diet produce similar pregnancy outcomes. [ABSTRACT FROM AUTHOR]- Published
- 2016
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8. Dietary glycaemic index and glycaemic load among Australian children and adolescents
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Chun Yu Louie, Jimmy, primary, Buyken, Anette E., additional, Heyer, Kristina, additional, and Flood, Victoria M., additional
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- 2011
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9. Foods, nutrients or whole diets: effects of targeting fish and LCn3PUFA consumption in a 12mo weight loss trial.
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Tapsell, Linda C., Batterham, Marijka J., Charlton, Karen E., Neale, Elizabeth P., Probst, Yasmine C., O¨Shea, Jane E., Thorne, Rebecca L., Qingsheng Zhang, and Chun Yu Louie, Jimmy
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WEIGHT loss ,FISH as food -- Health aspects ,PREVENTION of weight loss ,CARDIOVASCULAR diseases risk factors ,OVERWEIGHT persons ,LOW-calorie diet - Abstract
Background There is some evidence in the literature that emphasising fish consumption may assist with weight loss. The aim was to assess the effects of advice to consume 2 fish meals per week in a weight loss diet. Methods A parallel randomised placebo-controlled trial was conducted in 118 obese Australian adults (mean BMI ± SD 31.3 ± 3.5 kg/m
2 ; mean age ± SD 45 ± 10 y; 28% male). Participants received low calorie dietary advice + placebo (1 g olive oil; Control), low calorie dietary advice emphasising fish + placebo (Fish), or low calorie dietary advice emphasising fish diet + LCn3PUFA supplements (Fish + S). Individualised advice targeted 2 MJ energy deficit (30%E fat, 45%E carbohydrate and 25%E protein) with or without two servings (180 g) fatty fish/wk. Results All groups lost weight at 12 months (Control −4.5 kg vs. Fish −4.3 kg vs. Fish + S −3.3 kg; p < 0.001) and percentage body fat (Control: -1.5% vs. Fish: -1.4% vs. Fish + S: -0.7%; p < 0.001) but there were no significant differences between groups. Cardiovascular disease risk factors changed as expected from weight loss. Conclusions Advice to consume 2 fish meals per week did not enhance the effects on weight loss of a healthy low calorie diet. [ABSTRACT FROM AUTHOR]- Published
- 2013
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10. Timing of Peak Blood Glucose after Breakfast Meals of Different Glycemic Index in Women with Gestational Diabetes.
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Chun Yu Louie, Jimmy, Markovic, Tania P., Ross, Glynis P., Foote, Deborah, and Brand-Miller, Jennie C.
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- 2013
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11. Consumer testing of the acceptability and effectiveness of front-of-pack food labelling systems for the Australian grocery market.
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KELLY, BRIDGET, HUGHES, CLARE, CHAPMAN, KATHY, CHUN-YU LOUIE, JIMMY, DIXON, HELEN, CRAWFORD, JENNIFER, KING, LESLEY, DAUBE, MIKE, and SLEVIN, TERRY
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FOOD labeling laws ,CONSUMER preferences ,NUTRITION ,CONSUMER behavior ,FOOD industry ,FOOD packaging ,PRODUCT management - Abstract
The placement of nutrition information on the front of food packages has been proposed as a method of providing simplified and visible nutrition information. This study aimed to determine the most acceptable and effective front-of-pack food labelling system for Australian consumers. Consumers' preferences and ability to compare the healthiness of mock food products were assessed for different front-of-pack labelling systems. Four systems were tested, including two variations of the Percentage Daily Intake system (Monochrome %DI and Colour-Coded %DI), which displays the proportion of daily nutrient contribution that a serve of food provides; and two variations of the Traffic Light (TL) system (Traffic Light and Traffic Light + Overall Rating), which uses colour-coding to indicate nutrient levels. Intercept surveys with 790 consumers were conducted, where each participant was exposed to a single labelling system for performance testing. Participants indicated strong support for the inclusion of nutrient information on total fat, saturated fat, sugar and sodium on the front of packages, and a consistent labelling format across all products. Using the TL system, participants were five times more likely to identify healthier foods compared with the Monochrome %DI system [odds ratio (OR) 5.18; p <0.001], and three times more likely compared with the Colour-Coded %DI system (OR = 3.01; p 0.05). Consumers supported the introduction of consistent front-of-pack food labelling. The TL system was the most effective in assisting consumers to identify healthier foods. Mandatory TL labelling regulations are recommended to assist consumers in making healthy food choices. [ABSTRACT FROM AUTHOR]
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- 2009
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