scholarly journals Second Version of a Mini-Survey to Evaluate Food Intake Quality (Mini-ECCA v.2): Reproducibility and Ability to Identify Dietary Patterns in University Students

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 809
Author(s):  
María Fernanda Bernal-Orozco ◽  
Patricia Belen Salmeron-Curiel ◽  
Ruth Jackelyne Prado-Arriaga ◽  
Jaime Fernando Orozco-Gutiérrez ◽  
Nayeli Badillo-Camacho ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Food Intake ◽  
University Students ◽  
Excellent Agreement ◽  
Dietary Patterns ◽  
Weighted Kappa ◽  
Health Science ◽  
Sweetened Beverages ◽  
Group 2

Evaluation of food intake quality using validated tools makes it possible to give individuals or populations recommendations for improving their diet. This study’s objective was to evaluate the reproducibility and ability to identify dietary patterns of the second version of the Mini Food Intake Quality Survey (Mini-ECCA v.2). The survey was administered using a remote voting system on two occasions with four-week intervals between administrations to 276 health science students (average age = 20.1 ± 3.1 years; 68% women). We then performed a per-question weighted kappa calculation, a cluster analysis, an ANOVA test by questionnaire item and between identified clusters, and a discriminant analysis. Moderate to excellent agreement was observed (weighted κ = 0.422–0.662). The cluster analysis identified three groups, and the discriminant analysis obtained three classification functions (85.9% of cases were correctly classified): group 1 (19.9%) was characterized by higher intake of water, vegetables, fruit, fats, oilseeds/avocado, meat and legumes (healthy food intake); group 2 (47.1%) frequently consumed both fish and unhealthy fats (habits in need of improvement); group 3 (33%) frequently consumed sweetened beverages, foods not prepared at home, processed foods, refined cereals and alcohol (unhealthy food intake). In conclusion, the Mini-ECCA v.2 has moderate to excellent agreement, and it is able to identify dietary patterns in university students.

Dietary habits and sedentary behaviors among health science university students in Bahrain

2017 ◽  
Vol 29 (2) ◽  
Author(s):  
Abdulrahman O. Musaiger ◽  
Muyssar S. Awadhalla ◽  
Mariam Al-Mannai ◽  
Muneera AlSawad ◽  
G.V. Asokan
Keyword(s):  
University Students ◽  
Dietary Patterns ◽  
Internet Use ◽  
Intervention Program ◽  
Dietary Habits ◽  
Daily Basis ◽  
Health Science ◽  
Sedentary Behaviors ◽  
Cross Sectional ◽  
Significant Difference

Abstract Objective: The aim of this study was to investigate the dietary patterns and sedentary behaviors among university students in Bahrain. Materials and methods: A cross-sectional study was carried out with students of the College of Health Sciences in Bahrain using a self-reported questionnaire. All the students enrolled in this college were included in this study (642 students; 90 males and 552 females). The mean age of the sample was 20.1±2.0 years. A pre-tested questionnaire was used to collect information on the students’ breakfast intake, snacking, food frequency intake, and sedentary habits. Results: More than 50% of the students did not consume breakfast on a daily basis. A statistically significant difference (p<0.003) was found between males (19%) and females (35%) in relation to the intake of an afternoon snack. There were no significant gender differences regarding frequency of food intake, except for carbonated beverages (p<0.001) and nuts (p<0.047) consumption. Females were more likely than males to spend time watching television, use the Internet, use a mobile phone and sleep; however, the only significant difference found was for Internet use (p<0.003). Being physically active on a daily basis was more prevalent among males (41.6%) than females (16%) (p<0.001). Females (42.9%) were more prone to sleep for less time (<7 h) than males (34.4%)(p<0.08). Conclusion: The findings indicated that a high percentage of health science students in Bahrain had unhealthy dietary habits and sedentary behaviors. Thus, an intervention program to promote healthy dietary patterns and lifestyle habits among university students is highly recommended.

scholarly journals Evaluation of Added Sugar and Sugar-Sweetened Beverage Consumption by University Students

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Çağdaş Salih Meric ◽  
Nurcan Yabanci Ayhan ◽  
Hacı Ömer Yilmaz
Keyword(s):  
University Students ◽  
Chronic Diseases ◽  
Eating Habits ◽  
Heart Diseases ◽  
Health Science ◽  
P Value ◽  
Sugar Sweetened Beverages ◽  
Sugar Sweetened Beverage ◽  
Coronary Heart Diseases ◽  
Sweetened Beverages

Today, increased intake of sugar and sugar-sweetened beverages is seen today as an important factor in the growing prevalence of chronic diseases, such as obesity, obesity-related diabetes, and coronary heart diseases. This study involved 214 university students from the Department of Nutrition and Dietetics of Ankara University, Faculty of Health Science, which was intended to evaluate the consumption of sugar and sugar-sweetened beverages. The frequency of student consumption of beverages and the quantities and amounts of sugar taken with beverages were questioned. The average total amount of sugar added to drinks by the students was 4.69 ± 6.35 gram, while the average total amount of sugar taken with sugar-sweetened beverages was 11.34 ± 15.32 gram. Female students relative to male students, students in grade 4 compared to grades 2 and 3, and students who had daily breakfast compared to those who did not had lower average sugar consumption (p-value < 0.05). As class grades increase, the amount of sugar added to beverages and fruit juice and sweetened soft drinks and carbonated beverages decreased (p-value < 0.05). The consumption of herbal teas and dietary beverages increased and eating habits of students generally changed positively (p-value > 0.05). It is important to educate university students about the reduction in sugar intake and sugar-containing food in order to avoid many chronic diseases that may be seen in older ages.

scholarly journals Socioeconomic inequality in dietary intake begins before 24 months in Brazilian children

2019 ◽  
Vol 53 ◽  
pp. 9 ◽  
Author(s):  
Ana Elisa Madalena Rinaldi ◽  
Wolney Lisboa Conde
Keyword(s):  
Food Intake ◽  
Breast Milk ◽  
Young Children ◽  
Dietary Patterns ◽  
Principal Component ◽  
Wealth Index ◽  
National Health Survey ◽  
Characteristic Pattern ◽  
Sweetened Beverages ◽  
Infants And Young Children

OBJECTIVE: To assess dietary patterns by socioeconomic gradient of Brazilian infants and young children in 2006 and 2013. METHODS: Data from the National Demographic Survey (2006) and the National Health Survey (2013) were used. Food intake were described by wealth index, age range and survey year. Dietary patterns were defined by principal component analysis. Association of wealth index and dietary patterns were modelled using linear regression. RESULTS: Breast milk intake was higher for poor infants and young children, while fresh food intake (fruits, vegetables, meats, beans) was higher for the richer ones in 2006 and 2013. Biscuits and sweetened beverages were more consumed by rich infants and young children in 2006 and by poor and rich children in 2013. Three dietary patterns (DP1, DP2, and DP3) were identified in 2006 and four in 2013 (DP1, DP2, DP3, and DP4). DP1 was composed mainly of fresh foods, and it was positively associated with the wealth index for infants and young children in both years. DP2 was composed of biscuits, cookies and sweetened beverages, and it was positively associated with the wealth index for young children in 2006 and for poor and rich infants and young children in 2013. DP3 was composed of milk, water and porridge in both years, and it was not associated with the wealth index. DP4 was composed of breast milk and porridge, and it was negatively associated with the wealth index. CONCLUSIONS: DP1 is a characteristic pattern for richer infants and young children since 2006, while DP2 is a characteristic pattern for all infants and young children in 2013, regardless of wealth index. Dietary inequality between the poor and the rich seems to begin in childhood.

scholarly journals Phenetic relationship between Lepisorus (J. SM.) Ching (Pteridophyta: Polypodiaceae) and its related genera

1970 ◽  
Vol 16 (2) ◽  
pp. 99-113 ◽  
Author(s):  
Wannachai Chatan ◽  
Thaweesakdi Boonkerd ◽  
Bernard R. Baum
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Multivariate Analyses ◽  
Canonical Discriminant Analysis ◽  
Plant Taxon ◽  
Group 3 ◽  
Anatomical Characters ◽  
Phenetic Relationship ◽  
Group 2 ◽  
Group 1

Multivariate analyses based on morphological and anatomical characters have been performed to investigate the phenetic relationship and to clarify the circumscriptions of the genus Lepisorus (J.Sm.) Ching and its related genera, namely Neocheiropteris Christ, Paragramma T. Moore and Platygyria Ching & S.K. Wu. The dendrogram of cluster analysis separated the plants into three groups at Gower similarity coefficient 0.75. Group 1 and Group 2 consisted of Neocheiropteris palmatopedata (Baker) H. Christ and four species of Platygyria, respectively. Group 3 was Neocheiropteris ensata Ching and two species of Paragramma deeply embedded in the Lepisorus s.s. Canonical discriminant analysis supported the classification inferred from the clustering results. Based on these results, Platygyria and N. palmatopedata should be recognized as distinct genera. On the other hand, N. ensata and the genus Paragramma should be merged to the genus Lepisorus.  Keywords: Lepisorus; Paragramma; Platygyria; Cluster analysis; Canonical discriminant analysis. DOI: 10.3329/bjpt.v16i2.3924 Bangladesh J. Plant Taxon. 16(2): 99-113, 2009 (December)

scholarly journals Association between Dietary Patterns, Breakfast Skipping and Familial Obesity among a Sample of Egyptian Families

2016 ◽  
Vol 4 (2) ◽  
pp. 213-218 ◽  
Author(s):  
Nayera E. Hassan ◽  
Salwa M. El Shebini ◽  
Nihad H. Ahmed
Keyword(s):  
Food Intake ◽  
Dietary Patterns ◽  
Dietary Habits ◽  
Daily Intake ◽  
Normal Weight ◽  
High Rate ◽  
Food Frequency ◽  
Breakfast Skipping ◽  
Group 2 ◽  
Familial Obesity

AIM: To examine the association between dietary patterns, behaviors and the prevalence of familial obesity.SUBJECTS AND METHODS: Eighty three families, shared as volunteers comprised of 83 mothers and 155 offspring. Anthropometric measurements were reported including height and weight. Body mass index (BMI), weight/height, and weight/height Z score were calculated. Pattern of food intake was obtained by means of dietary interview consisting of a 24 hour recall, and a food frequency questionnaire.RESULTS: Data revealed that obesity was high among mothers reached 91.6% while obesity in the offspring was 24.5%. According to prevalence of obesity, families were divided to 4 groups, 8.43% of families were of normal weight, and 20.48% were obese. Food frequency consumption rate and food analysis revealed unhealthy food intake, especially in obese families. All groups reported high rate intake of sweets, pastries and beverage. Calories, carbohydrate, cholesterol and sodium were higher than the RDA in all mother’s groups, and adolescent group (2) compared to low daily intake of micronutrients especially calcium and vitamin D in all groups. More than half of all mothers and offspring skipped breakfast.CONCLUSION: Results of this study suggest that familial obesity increases the risk of offspring being obese, dietary habits might be involved in the development of obesity.

Classifying the Past: Discriminant Analysis and its Application to Medieval Farming Systems

1996 ◽  
Vol 8 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Ken Bartley
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Processing Time ◽  
Farming Systems ◽  
Frame Of Reference ◽  
Analytical Models ◽  
Successful Implementation ◽  
Medieval Period ◽  
The Past ◽  
Livestock Management

This paper discusses the need for nationally based analytical models of the medieval period. The use of cluster analysis as a method for classifying demesne farms, by the crops they grew and their livestock management, is explained. Successful implementation of cluster analysis requires both the existence of a large base sample, to permit isolation of specific groupings within the data, and access to considerable processing time. The paper concludes by demonstrating how discriminant analysis can provide an efficient and systematic way of classifying even a single manor within a national frame of reference.

Multivariate consumption profiling (MCP) for intelligent meter systems: a methodology to define categories and levels

2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Reference Population ◽  
Statistical Analyses ◽  
Conceptual Schema ◽  
Data Variability ◽  
Water Companies ◽  
Analyse Data

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.

Effect of Topography on Maize Grains Elemental Profile: A Chemometric Approach

2020 ◽  
Vol 16 (8) ◽  
pp. 1079-1087
Author(s):  
Jorgelina Z. Heredia ◽  
Carlos A. Moldes ◽  
Raúl A. Gil ◽  
José M. Camiña
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Microwave Plasma ◽  
Emission Spectrometry ◽  
Linear Discriminant ◽  
Maize Seeds ◽  
Elemental Profile ◽  
Mineral Profile ◽  
Topographic Characteristics

Background: The elemental composition of maize grains depends on the soil, land and environment characteristics where the crop grows. These effects are important to evaluate the availability of nutrients with complex dynamics, such as the concentration of macro and micronutrients in soils, which can vary according to different topographies. There is available scarce information about the influence of topographic characteristics (upland and lowland) where culture is developed with the mineral composition of crop products, in the present case, maize seeds. On the other hand, the study of the topographic effect on crops using multivariate analysis tools has not been reported. Objective: This paper assesses the effect of topographic conditions on plants, analyzing the mineral profiles in maize seeds obtained in two land conditions: uplands and lowlands. Materials and Methods: The mineral profile was studied by microwave plasma atomic emission spectrometry. Samples were collected from lowlands and uplands of cultivable lands of the north-east of La Pampa province, Argentina. Results: Differentiation of maize seeds collected from both topographical areas was achieved by principal components analysis (PCA), cluster analysis (CA) and linear discriminant analysis (LDA). PCA model based on mineral profile allowed to differentiate seeds from upland and lowlands by the influence of Cr and Mg variables. A significant accumulation of Cr and Mg in seeds from lowlands was observed. Cluster analysis confirmed such grouping but also, linear discriminant analysis achieved a correct classification of both the crops, showing the effect of topography on elemental profile. Conclusions: Multi-elemental analysis combined with chemometric tools proved useful to assess the effect of topographic characteristics on crops.

scholarly journals Patterns of Italian high school and university students’ attitudes towards physics: an analysis based on semiotic-cultural perspective

2021 ◽  
Author(s):  
Italo Testa ◽  
Raffaele De Luca Picione ◽  
Umberto Scotti di Uccio
Keyword(s):  
High School ◽  
Cluster Analysis ◽  
University Students ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Psychological Theory ◽  
Cultural Perspective ◽  
Undergraduate Level ◽  
Students Attitudes ◽  
And Cluster Analysis

AbstractThe purpose of this study was to analyse Italian high school and university students’ attitudes towards physics using the Semiotic Cultural Psychological Theory (SCPT). In the SCPT framework, attitudes represent how individuals interpret their experience through the mediation of generalized meaning with which they are identified. A view-of-physics questionnaire was used as an instrument to collect data with 1603 high school and university students. Data were analysed through multiple correspondence analysis and cluster analysis. We identified four generalized meanings of physics: (a) interesting and important for society; (b) a quite interesting, but badly taught subject at school and not completely useful for society; (c) difficult to study and irrelevant for society; and (d) a fascinating and protective niche from society. The identified generalized meanings are significantly correlated to the choice to study physics at undergraduate level and to the choice of attending physics-related activities in high school. Implications for research are discussed.

Use of information and communication technologies in small-scale dairy production systems in central Mexico

2020 ◽  
Vol 56 (5) ◽  
pp. 767-779
Author(s):  
Juan de Dios García-Villegas ◽  
Anastacio García-Martínez ◽  
Carlos Manuel Arriaga-Jordán ◽  
Monica Elizama Ruiz-Torres ◽  
Adolfo Armando Rayas-Amor ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Production Systems ◽  
Communication Technologies ◽  
Small Scale ◽  
Central Mexico ◽  
Dairy Production ◽  
Dairy Farmers ◽  
Use Of Technology ◽  
Group 2 ◽  
Small Scale Dairy

AbstractThe objective of the study was to characterize small-scale dairy production systems to identify the technological preferences according to the farmer and farm characteristics and to analyze the importance and role of the information communication technologies (ICTs) in the dissemination of information related to management and livestock activities. To collect the data, a survey was applied to 170 small-scale dairy farmers from central Mexico. To characterize the farms, a factor analysis (FA) and cluster analysis (CA) were performed. To compare and identify differences between groups, a Kruskal–Wallis test was conducted. Four factors that explain 70.93% of the accumulated variance were identified; these factors explain the use of technology, production characteristics, social connections, and use of ICTs. The cluster analysis identified four groups. Group 1 was integrated by farmers with more experience and the largest farms. Group 2 had higher studies and use of ICTs. Group 3 was formed by young farmers but had a low use of technology. Group 4 contained older farmers with a low use of technology. The young farmers with higher studies have begun to incorporate ICTs into their daily activities on the farm, as observed in Group 2. Smartphones were the most used and were considered important by the farmers of the four groups, since they enable interaction with other farmers and the dissemination of topics of interest related with the farm. In conclusion, four group of farmers were differentiated; therefore, different extension approaches should be implemented to take into account the preferences and the technologies considered most important for each group. The ICTs are emerging technologies among small-scale dairy farmers to communicate information related to livestock management, mainly by young farmers with studies of secondary, as observed in Group 2.

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