scholarly journals Evaluation of labeling, nutritional composition, ingredients and food additives in greek yogurtes marketed in supermarkets in the city of João Pessoa

2021 ◽  
Vol 10 (9) ◽  
pp. e38010918280
Author(s):  
Ricardo Maia Dantas ◽  
Crisleide Maria de Almeida ◽  
Jessica Bezerra dos Santos Rodrigues ◽  
Noádia Priscila Araújo Rodrigues
Keyword(s):  
Principal Component Analysis ◽  
Nutritional Quality ◽  
Food Additives ◽  
Saturated Fat ◽  
Principal Component ◽  
Nutritional Composition ◽  
Added Sugars ◽  
Brazilian Legislation ◽  
Nutritional Facts ◽  
The City

To analyze the labeling adequacy of Greek Yogurts with the current Brazilian legislation for packaged products, which includes the list of ingredients, the content of proteins, carbohydrates and sugars, the amount of saturated fat and the presence of additives. This research was done in products of this kind available in João Pessoa - Paraíba supermarkets. The data collected was about the list of ingredients, nutritional facts and the information contained on the labels. The collected data were tabulated on the Excel ® spreadsheet and analyzed statistically by Principal Component Analysis (PCA). 107 yogurts from 10 different brands were evaluated, in which all yogurts were in compliance with current legislation. As of nutritional composition, the products had high amounts of added sugars, saturated fat and additives, which differs from the original composition of the original Greek yogurt recipe; however, the G brand had the lowest content of added substances and the best nutritional quality. The results show that consumers need to pay attention to product labels to make better choices, nutrition professionals are expected to better understand the composition of these yogurts to effectively guide their consumption.

scholarly journals Assessing nutritional value of ready-to-eat breakfast cereals in the province of Quebec (Canada): a study from the Food Quality Observatory

2021 ◽  
pp. 1-8
Author(s):  
Julie Perron ◽  
Sonia Pomerleau ◽  
Pierre Gagnon ◽  
Joséane Gilbert-Moreau ◽  
Simone Lemieux ◽  
...  
Keyword(s):  
Food Quality ◽  
Food Supply ◽  
Nutritional Quality ◽  
Saturated Fat ◽  
Nutritional Composition ◽  
Breakfast Cereal ◽  
Food Category ◽  
Breakfast Cereals ◽  
Sales Data

Abstract Objective: The Food Quality Observatory was created in the province of Quebec (Canada) in 2016. In this study, the Observatory aimed to generate a methodology to (1) test the use of sales data combined with nutrient values to characterise the nutritional composition of ready-to-eat (RTE) breakfast cereals offered and purchased in the province of Quebec (Canada) and (2) verify the extent to which a front-of-pack label based on the percentage of daily value (DV) for total sugar, as a strategy to improve the food supply, would be distributed in this food category. Design: Nutritional information were obtained by purchasing each RTE breakfast cereal available in the Greater Montreal area. Cereals were then classified according to their processing type. Setting: The nutritional values of 331 RTE breakfast cereals available in Quebec were merged with sales data covering the period between May 2016 and May 2017. A total of 306 products were successfully cross-referenced. Results: Granola and sweetened cereals were the most available (36·6 % and 19·6 %, respectively) and purchased (19·8 % and 40·9 % of sales, respectively). When compared with other types of cereals, granola cereals had a higher energy, fat, saturated fat, protein content and a lower Na content. A larger proportion of chocolate (65 %) and sweetened cereals (49 %) were above 15 % of the DV for sugar. Conclusions: This study showed that the methodology developed generates important data to monitor nutritional quality of the food supply and ultimately contribute to improve the nutritional quality of processed foods.

scholarly journals Trends in the use of gluten-free claims on Canadian food labels between 2013–2017 and assessment of their nutritional quality

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Beatriz Franco-Arellano ◽  
Gabriel B. Tjong ◽  
Mary R. L'Abbé
Keyword(s):  
Nutritional Quality ◽  
Meat Products ◽  
Saturated Fat ◽  
Nutritional Composition ◽  
Gluten Free ◽  
Food Labels ◽  
Food Label ◽  
Chi Square ◽  
Food Category ◽  
Cross Sectional

AbstractGluten-free claims (GFC) on food labels are becoming popular despite the fact that 1% and 6% of the population have celiac disorder or gluten sensitivity, respectively. A previous Canadian study found that GFC were displayed on 8% of food labels; however, certain food categories (e.g., snacks, meat products) were among the ones carrying most GFC. This study aimed to assess trends in the use of GFC on Canadian food labels in top food categories carrying GFC from 2013 to 2017 and to determine the nutritional quality between products with and without GFC.This study was a repeated cross-sectional analysis of the University of Toronto Food Label Information Program 2013–2017. GFC were identified by systematically reviewing the photographs of food labels (n = 9,179) in seven food categories previously identified as carrying larger proportions of GFC: 1) desserts; 2) desserts toppings and fillings; 3) meat products; 4) nuts and seeds; 5) sauces and dips; 6) snacks; and 7) soups. GFC were coded as present, if a gluten-free declaration or symbol was made on package, otherwise products were coded as claim absent. Proportions of products displaying GFC were calculated overall and by food category. Mean contents of saturated fat (g per 100g/ml), sodium (mg per 100g/ml) and sugar (g per 100g/ml) were calculated for products with and without GFC. Chi-square and Mann-Whitney-Wilcoxon tested differences in proportions and mean contents of those nutrients between years.Results showed that among these categories, GFC have significantly increased from 11% in 2013 to 23% in 2017 (p < 0.001). At a category level, snacks had the greatest increase of GFC as their prevalence doubled (15% to 33%, p < 0.001), followed by nuts and seeds (12% to 27%, p < 0.001) and meat products (15% to 28%, p < 0.001), respectively for 2013 and 2017. The proportion of GFC in dessert toppings and fillings remained constant (16% in 2013 and 14% in 2017, p = 0.74). When the nutritional composition was examined, results were mixed: in dessert toppings and filling, meat products and, nuts and seeds, products with GFC had higher contents of saturated fat, sodium and sugar in comparison to their counterpart without claims, whereas the opposite was true for foods within desserts, sauces and dips, snacks, and soups categories (p < 0.001 for all nutrients, except for saturated fat in nuts and seeds). In conclusion, prevalence of GFC has doubled in the Canadian food supply; such claims are not indicative of better nutritional composition.

scholarly journals Modelling the dietary impact of health-related claims on food labels in the UK

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Asha Kaur ◽  
Peter Scarborough ◽  
Mike Rayner
Keyword(s):  
Nutritional Quality ◽  
Meta Analysis ◽  
Saturated Fat ◽  
Nutritional Composition ◽  
Health Claims ◽  
Baseline Scenario ◽  
Health Related ◽  
Mathematical Equations ◽  
The Impact

AbstractHealth-related claims (HRCs) are statements found on food packets that convey the nutritional quality of a food (nutrition claims) and/or its impact on a health outcome (health claims). Foods carrying HRCs have a slightly improved nutritional profile than foods without HRCs, however, it's unclear whether this translates into dietary improvements. We conducted a modelling study to measure the effect of HRCs on diet. As HRCs are already present on foods it is assumed that any impact that they have upon diet are already in effect. We modelled the impact on food purchases of removing HRCs, by assuming that the sales boost they receive is neutralised. These results can be inverted to estimate the current dietary impact of HRCs. Using the Living Costs Food (LCF) survey data, we calculate the average purchases and nutrient intake per person, per day. The LCF data is divided into sales of products with HRCs and sales of products without HRCs through solving mathematical equations combining LCF sales data with odds ratios from a meta-analysis examining the impact of HRCs on choices and data from a survey of foods examining the prevalence of HRCs and the nutritional quality of foods that carry them so that the sum of the sales of products with HRCs and without HRCs is equal to the total sales of products. Similarly, mathematical equations are solved that combine nutritional composition data with the sales of foods carrying and not carrying HRCs. In the baseline scenario foods carrying HRCs made-up 37% of the total purchases, and contributed 29% (559kcal) of the total kcals purchased (1907kcal). When HRCs are removed from foods there is an average increase of 18kcal/d (95% Uncertainty Intervals [UI] -15, 52), + 2g/d increase in total fat (95% UI -1, 4) and saturated fat (95% UI 1, 3), smaller changes are seen for protein (+ 0.5g/d, 95% UI -1, 2), total sugar (+ 0.5g/d, 95% UI -4, 7) and carbohydrate (-0.5g/d, 95% UI -5, 7). There is reduction in the amount of fruit (-11g/d, 95% UI -34, 26) but an increase in vegetables (+ 6g/d, 95% UI -6, 19). These results should be interpreted with caution due to the large uncertainty intervals. When HRCs are removed, we see a small deterioration in the quality of the average diet. If we invert these findings we can assume HRCs currently have a positive, albeit small, impact on diet.

scholarly journals Assessment of Passenger Satisfaction with Public Bus Transport Services: A Case Study of Lucknow City (India)

2016 ◽  
Vol 11 (3) ◽  
pp. 107-128 ◽  
Author(s):  
Sanjay Singh
Keyword(s):  
Principal Component Analysis ◽  
Service Quality ◽  
Principal Component ◽  
Component Analysis ◽  
Quality Attributes ◽  
Transport Services ◽  
Passenger Satisfaction ◽  
Bus Stops ◽  
The City ◽  
Bus Transport

AbstractThe main aim of this study is threefold. First, it tries to assess the passenger satisfaction with public bus transport services in the city of Lucknow in India. Second, it tries to examine the service quality attributes that influence the passenger satisfaction. Third, it tries to evaluate the relative importance of service quality attributes to find out the priority for service quality improvements to enhance passenger satisfaction. The study is based on a survey of objective as well as subjective questions conducted between May and July 2014. Five major bus stops of Lucknow were selected for the survey. Total 148 respondents were randomly selected to elicit their overall satisfaction and factors that influence their satisfaction in the use of public bus transport services in Lucknow using a self-rated questionnaire. The collected sample of responses is subjected to principal component analysis, a statistical technique for dimensionality reduction of the dataset, and descriptive analysis. The result of theses analyses shows that passengers are mostly dissatisfied with public bus transport services in Lucknow. Using principal component analysis, five underlying factors were extracted that influenced passenger satisfaction with public bus transport services in the city. Out of these five factors, comfort and safety has the greatest impact on overall satisfaction, followed by the adequacy of capacity of public bus transport services, orderly and clean environment inside buses, elegant design of buses and bus stops, and accessibility to public bus transport services in the city. The study thus provides a direction for public bus transport administration in the city to understand the gaps that exist and try to fill them to improve its services so that passenger satisfaction can be enhanced and consequently more people can be attracted towards public bus transport.

scholarly journals Analysis of the success factors for MSME succession in Surabaya: A principal component analysis

2018 ◽  
Vol 21 (2) ◽  
Author(s):  
Candraningrat . ◽  
Oktaviani . ◽  
Sri - Suhandiah
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Family Business ◽  
Success Factors ◽  
Principal Component ◽  
Component Analysis ◽  
Family Businesses ◽  
Next Generation ◽  
Analysis Technique ◽  
The City

This study aims to find success factors for succession in family-based MSMEs in MSMEs in Surabaya, Indonesia, where Surabaya is a metropolitan city that allows entrepreneurs to develop and be sustainable for the next generation of family businesses. The research method used is factor analysis which is an analysis technique that forms the latent variables that have not been determined before the analysis, the results of anilisation will find any factors that influence the success of succession in MSMEs. Sample in this study amounted to 100 MSMEs of family businesses that could be met in Surabaya or incidental sampling, while respondents in this study were second generation family business owners. The method of data collection is a survey with a questionnaire instrument that has been tested for validity and reliability. The data analysis technique used is the Principal Component Analysis Factor Analysis with SPSS software. The results of this study found that six factors that determine the success of succession in MSMEs in the city of Surabaya are succession preparation procedures, successor characteristics, readiness of previous generations, communication in the succession process, relationships between family members, and introduction to the business environment. This research is expected to provide references on the sustainability of family business to the next generation in the city of Surabaya, East Java, Indonesia.

Research on the Sustainable Development Based on PREES Model of Beijing

2013 ◽  
Vol 291-294 ◽  
pp. 1605-1609
Author(s):  
Wen Yan Guo ◽  
Li Ma ◽  
Qiong Wang ◽  
Xiao Liu Shen
Keyword(s):  
Principal Component Analysis ◽  
Sustainable Development ◽  
Empirical Analysis ◽  
Evaluation System ◽  
Rapid Development ◽  
Principal Component ◽  
Coordinated Development ◽  
The Sustainable Development ◽  
The City ◽  
Coordination Degree

This paper studies the coordinated development of Beijing's population, resources, environment, economic and society. With the rapid development of the city, Beijing’s population, society and economic is getting more and more contradictive against its resources and environment, under which circumstance a scientific study on the coordinated development is urgently required. This essay is based on the data of last 10 years of Beijing, and formulates a PREES model of the PREES model in Beijing. This study uses the method of principal component analysis via SPSS, establishes the coordination degree evaluation system of Beijing’s population, resources, environment, economic and society, and runs an empirical analysis afterward. This essay calculates the coordination degree of Beijing’s population, resources, environment, economic and society, analyzes and studies the main issues in Beijing’s coordinated development, and gives relative suggestions.

Use of the Principal Component Analysis (PCA) to Reduce Data Complexity in Qualitative Research: An Electro-Electronics Case Study

2014 ◽  
Vol 988 ◽  
pp. 526-529
Author(s):  
Fernanda Perreira Lopes ◽  
Adriana de Paula Lacerda Santos ◽  
Nicolle Christine Sotsek
Keyword(s):  
Qualitative Research ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Complex Variables ◽  
Metropolitan Region ◽  
Economic Sustainability ◽  
Production Area ◽  
The City

The objective of this paper was to show that the Principal Component Analysis (PCA) quantitative technique is capable of grouping complex variables in correlation groups from qualitative research. Thus, the study proposes a set of indicators for evaluating the production area in electro-electronic transformation industries in the city of Curitiba and Metropolitan Region, under aspects of environmental, social and economic sustainability. By employing the technique, it was observed that the questions were well formulated and truly measured what was proposed by the researchers. However, the way the variables were grouped needs adjustments to facilitate application of the questionnaire and the tabulation and analysis of data.

scholarly journals Eating patterns and nutritional characteristics associated with sleep duration

2010 ◽  
Vol 14 (5) ◽  
pp. 889-895 ◽  
Author(s):  
Sangmi Kim ◽  
Lisa A DeRoo ◽  
Dale P Sandler
Keyword(s):  
Principal Component Analysis ◽  
Puerto Rico ◽  
Sleep Duration ◽  
Nutritional Quality ◽  
Fruits And Vegetables ◽  
Metabolic Diseases ◽  
Principal Component ◽  
Eating Patterns ◽  
Nutritional Characteristics ◽  
The Usa

AbstractObjectiveTo identify major meal and snack eating patterns, and examine their relationships with sleep duration.DesignThe analyses included 27 983 participants in a prospective cohort study of women aged 35 to 74 years in the USA or Puerto Rico.ResultsThe principal component analysis of eight meal and snack frequency items at different times across the day yielded two major eating patterns: (i) eating during conventional eating hours (defined as times from breakfast to dinner); and (ii) dominance of snacks over meals. Comparing the identified eating patterns among women with varying sleep duration (<5, 5–5·9, 6–6·9, 7–7·9, 8–8·9, 9–9·9 and ≥10 h daily), the tendency for eating during conventional eating hours decreased with decreasing sleep duration: adjusted mean score of −0·54 (95 % CI –0·68, –0·41) in women sleeping for <5 h daily v. 0·08 (95 % CI 0·06, 0·11) among those with 7–7·9 h of sleep daily. The extent of snack dominance over meals increased in women with shorter sleep. Women with long (≥10 h) sleep duration had eating patterns similar to those with short (<6 h) sleep duration. Lower tendency for eating during conventional eating hours and greater snack dominance over meals were also related to higher intakes of fat and sweets for energy and lower intakes of fruits and vegetables.ConclusionsDisrupted eating patterns and diet of poor nutritional quality may exacerbate the development of obesity and metabolic diseases in habitual short and very long sleepers.

scholarly journals POTRET KESEHATAN MASYARAKAT DI KOTA PADANG DENGAN METODE WAJAH CHERNOFF

2019 ◽  
Vol 16 (1) ◽  
pp. 102-109
Author(s):  
A Oktavia ◽  
I Rina ◽  
V Agusta
Keyword(s):  
Public Health ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Health Indicators ◽  
Component Analysis ◽  
Health Protection ◽  
Facial Features ◽  
Multiple Variable ◽  
Public Health Protection ◽  
The City

Chernoff Face Method is a method used to represent multiple variable data in the form of a cartoon face with 20 specific facial features. In this study, we will show how the use of the Chernoff face method to see a portrait of public health in the city of Padang. Health indicators will be paired with specific facial features of Chernoff's face using Principal Component Analysis (PCA). The results of this study are expected to provide an overview of public health protection for each sub-district in Padang City and Padang City as a whole. Keywords : Chernoff Face Method, Health Indicators, Principal Component Ananlysis.

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