scholarly journals Dietary patterns for meals of Brazilian adults

2015 ◽  
Vol 114 (5) ◽  
pp. 822-828 ◽  
Author(s):  
Roberta de Oliveira Santos ◽  
Regina Mara Fisberg ◽  
Dirce Maria Marchioni ◽  
Valéria Troncoso Baltar
Keyword(s):  
Health Care ◽  
Food Intake ◽  
Dietary Patterns ◽  
Principal Component ◽  
Dietary Advice ◽  
Food Groups ◽  
Varimax Rotation ◽  
Meal Skipping ◽  
Care Survey ◽  
Component Estimation

AbstractThe use of dietary patterns (DP) in nutritional research is well established; however, only a few studies of DP according to specific meals have been conducted. The purpose of this study was to identify the DP regarding breakfast, lunch and dinner meals of the population (aged 20 years and older of both sexes) that participated in the Health Care Survey of Sao Paulo. Food intake was estimated by using the Multiple Source Method – considering two 24- h dietary recalls. On the basis of the food groups for each meal, a factor analysis, with a principal component estimation, was applied (varimax rotation) in order to derive the DP. Prevalences of meal skipping were 5·6 % for breakfast, 3·6 % for lunch and 12·8 % for dinner. The findings revealed three breakfast DP: healthy, traditional and snack; five lunch DP: traditional, salad, sweetened juice, Western and meats; and four dinner DP: coffee with milk and bread, transitional, traditional, and soup and fruits. The results of this study indicate that the DP identified in accordance with the meal nicely discriminates food intake, emphasising peculiarities that are not found in global analyses and might support dietary advice.

scholarly journals Identification of dietary patterns using factor analysis in an epidemiological study in São Paulo

2005 ◽  
Vol 123 (3) ◽  
pp. 124-127 ◽  
Author(s):  
Dirce Maria Lobo Marchioni ◽  
Maria do Rosário Dias de Oliveira Latorre ◽  
José Eluf-Neto ◽  
Victor Wünsch-Filho ◽  
Regina Mara Fisberg
Keyword(s):  
Factor Analysis ◽  
Food Intake ◽  
Dietary Patterns ◽  
Dairy Products ◽  
Principal Component ◽  
Sao Paulo ◽  
Teaching Hospitals ◽  
Processed Meat ◽  
São Paulo ◽  
Food Groups

CONTEXT AND OBJECTIVE: Diet and nutrition are environmental factors in health/disease relationships. From the epidemiological viewpoint, diet represents a complex set of highly correlated exposures. Our objective was to identify patterns of food intake in a group of individuals living in São Paulo, and to develop objective dietary measurements for epidemiological purposes. DESIGN AND LOCAL: Exploratory factor analysis of data in a case-control study in seven teaching hospitals in São Paulo. METHODS: The participants were 517 patients (260 oral cancer cases and 257 controls) admitted to the study hospitals between November 1998 and March 2001. The weekly intake frequencies for dairy products, cereals, meat, processed meat, vegetables, pulses, fruits and sweets were assessed by means of a semi-quantitative food frequency questionnaire. Dietary patterns were identified by factor analysis, based on the intake of the eight food groups, using principal component analysis as an extraction method followed by varimax rotation. RESULTS: Factor analysis identified three patterns that accounted for 55% of the total variability within the sample. The first pattern ("prudent") was characterized by vegetable, fruit and meat intake; the second ("traditional") by cereals (mainly rice) and pulses (mainly beans); and the third ("snacks") by dairy products and processed meat. CONCLUSION: This study identified food intake patterns through an a posteriori approach. Such analysis may be useful for nutritional intervention programs and, after computing scores for each individual according to the patterns identified, for establishing a relationship between diet and other epidemiological measurements of interest.

scholarly journals The food patterns of a multicenter cohort of Brazilian nulliparous pregnant women

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maria J. Miele ◽  
Renato T. Souza ◽  
Iracema M. Calderon ◽  
Francisco E. Feitosa ◽  
Débora F. Leite ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Dietary Patterns ◽  
Principal Component ◽  
Good Representation ◽  
Processed Foods ◽  
Food Groups ◽  
Dietary Recall ◽  
Complex Process ◽  
Nutrient Consumption ◽  
Main Components

AbstractAssessment of human nutrition is a complex process, in pregnant women identify dietary patterns through mean nutrient consumption can be an opportunity to better educate women on how to improve their overall health through better eating. This exploratory study aimed to identify a posteriori dietary patterns in a cohort of nulliparous pregnant women. The principal component analysis (PCA) technique was performed, with Varimax orthogonal rotation of data extracted from the 24-h dietary recall, applied at 20 weeks of gestation. We analysed 1.145 dietary recalls, identifying five main components that explained 81% of the dietary pattern of the sample. Dietary patterns found were: Obesogenic, represented by ultra-processed foods, processed foods, and food groups rich in carbohydrates, fats and sugars; Traditional, most influenced by natural, minimally processed foods, groups of animal proteins and beans; Intermediate was similar to the obesogenic, although there were lower loads; Vegetarian, which was the only good representation of fruits, vegetables and dairy products; and Protein, which best represented the groups of proteins (animal and vegetable). The obesogenic and intermediate patterns represented over 37% of the variation in food consumption highlighting the opportunity to improve maternal health especially for women at first mothering.

scholarly journals Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

2020 ◽  
Author(s):  
Adi Lukas Kurniawan ◽  
Chien-Yeh Hsu ◽  
Hsiu-An Lee ◽  
Hsiao-Hsien Rau ◽  
Rathi Paramastri ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Kidney Function ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Density Lipoprotein ◽  
Principal Component ◽  
Dietary Guidelines ◽  
Food Groups ◽  
Reduced Rank Regression ◽  
Sugary Drinks

Abstract Background: Dietary patterns were associated with the risk of chronic disease development and outcome-related diseases. In this study, we aimed to compare the correlation between dietary patterns and metabolic syndrome (MetS) using two methods for identifying dietary patterns.Methods: The participants (n = 25,569) aged ≥ 40 years with impaired kidney function were retrieved from Mei Jau (MJ) Health Screening database from 2008 to 2010. Dietary patterns were identified by principal component analysis (PCA) and reduced rank regression (RRR) from twenty-two food groups using PROC FACTOR and PROC PLS functions.Results: We identified two similar dietary pattern characteristics (high intakes of deep fried foods, preserved or processed foods, dipping sauce, meat, sugary drinks, organ meats, jam/honey, fried rice/flour products, instant noodles and eggs) derived by PCA and RRR. Logistic regression analysis revealed that RRR-derived dietary pattern scores were positively associated with an odds ratio (OR = 1.70, 95% CI: 1.56, 1.86) of having MetS than PCA-derived dietary pattern scores (OR = 1.38, 95% CI: 1.27, 1.51). The correlations between RRR-derived dietary pattern scores and elevated systolic and diastolic blood pressure (OR = 1.30 for both) or low high density lipoprotein cholesterol in women (OR = 1.32) were statistically significant but not significant in PCA-derived dietary pattern scores.Conclusions: Our findings suggest that RRR gives better results when studying behavior related dietary patterns in association with MetS. RRR may be more preferable to provide dietary information for developing dietary guidelines among people with MetS. Further studies with prospective measurements are needed to verify whether RRR is a useful analytic tool for the association between dietary patterns and other chronic diseases.

scholarly journals Clustering of Dietary Patterns and Lifestyles Among Spanish Children in the EsNuPI Study †

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2536
Author(s):  
Julio Plaza-Díaz ◽  
Esther Molina-Montes ◽  
María José Soto-Méndez ◽  
Casandra Madrigal ◽  
Ángela Hernández-Ruiz ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Parental Education ◽  
Dietary Habits ◽  
Pediatric Population ◽  
Age Groups ◽  
Principal Component ◽  
Lifestyle Factors ◽  
Study Cohort ◽  
Food Groups

Dietary patterns (DPs) are known to be tied to lifestyle behaviors. Understanding DPs and their relationships with lifestyle factors can help to prevent children from engaging in unhealthy dietary practices. We aimed to describe DPs in Spanish children aged 1 to <10 years and to examine their associations with sociodemographic and lifestyle variables. The consumption of toddler and young children milk formulas, enriched and fortified milk within the Spanish pediatric population is increasing, and there is a lack of evidence whether the consumption of this type of milk is causing an impact on nutrient intakes and if they are helping to reach the nutrient recommendations. Within the Nutritional Study in the Spanish Pediatric Population (EsNuPI), we considered two study cohorts and three different age groups in three year-intervals in each of them. The study cohort included 740 children in a representative sample of the urban non-vegan Spanish population and 772 children in a convenience cohort of adapted milk consumers (AMS) (including follow-on formula, toddler’s milk, growing up milk, and fortified and enriched milks) who provided information about sociodemographics, lifestyle, and dietary habits; a food frequency questionnaire was used for the latter. Principal component analysis was performed to identify DPs from 18 food groups. Food groups and sociodemographic/lifestyle variables were combined through a hierarchical cluster algorithm. Three DPs predominated in every age group and study sample: a palatable energy-dense food dietary pattern, and two Mediterranean-like DPs. However, children from the AMS showed a predominant dietary pattern markedly related to the Mediterranean diet, with high consumption of cereals, fruits and vegetables, as well as milk and dairy products. The age of children and certain lifestyle factors, namely level of physical activity, parental education, and household income, correlated closely with the dietary clusters. Thus, the findings provide insight into designing lifestyle interventions that could reverse the appearance of unhealthy DPs in the Spanish child population.

scholarly journals Dietary patterns and breast-feeding in Australian children

2011 ◽  
Vol 14 (11) ◽  
pp. 1939-1947 ◽  
Author(s):  
Jessica A Grieger ◽  
Jane Scott ◽  
Lynne Cobiac
Keyword(s):  
Breast Feeding ◽  
Dietary Patterns ◽  
Dairy Products ◽  
Principal Component ◽  
Positive Association ◽  
National Sample ◽  
Cross Sectional Study ◽  
Principal Component Factor Analysis ◽  
Food Groups ◽  
Cross Sectional

AbstractObjectiveTo determine the dietary patterns of a national sample of 2–8-year-old Australian children and to establish whether breast-feeding is associated with dietary patterns in this age group.DesignCross-sectional study using 24 h recall data from the 2007 Australian National Children's Nutrition and Physical Activity Survey.SettingAustralia.SubjectsA total of 2287 children aged 2–8 years.ResultsPrincipal component factor analysis identified three distinct patterns. The ‘Non-core food groups’ pattern included food groups such as whole-fat dairy products, cheese, medium–high sugar-sweetened breakfast cereals and sweet biscuits, no fruit, reduced/low-fat dairy products and wholegrain bread/rolls. The ‘Healthy, meat and vegetable’ pattern included vegetables, red meat, fruit and wholegrain bread/rolls and was inversely associated with take-away foods and carbonated sugar-sweetened beverages. The ‘Combination’ pattern contained many food groups including candy (not chocolate based), pasta/rice products, nuts/seeds, cakes and chocolate, but no fruit or vegetables. Of the 2287 children, 2064 (89·3 %) had been breast-fed. A positive association was found between breast-feeding and the healthy, meat and vegetable pattern (r= 0·267) but not with the other two patterns. Higher scores on this pattern were also associated with younger age, lower BMI, higher birth weight, high likelihood of being in the less-disadvantaged Socio-economic Indexes for Areas category and less likelihood of the child's parents having a lower educational level.ConclusionsThese results provide suggestive evidence that breast-feeding during infancy is associated with a healthy dietary pattern in childhood and offers a likely pathway to explain the previously reported association between breast-feeding and chronic disease.

scholarly journals Dietary patterns in Irish adolescents: a comparison of cluster and principal component analyses

2011 ◽  
Vol 16 (5) ◽  
pp. 848-857 ◽  
Author(s):  
Áine P Hearty ◽  
Michael J Gibney
Keyword(s):  
Cluster Analysis ◽  
Total Energy ◽  
Dietary Patterns ◽  
Principal Component ◽  
Food Groups ◽  
Food Diary ◽  
Breakfast Cereal ◽  
Percentage Contribution ◽  
Main Meal ◽  
The Impact

AbstractObjectivePattern analysis of adolescent diets may provide an important basis for nutritional health promotion. The aims of the present study were to examine and compare dietary patterns in adolescents using cluster analysis and principal component analysis (PCA) and to examine the impact of the format of the dietary variables on the solutions.DesignAnalysis was based on the Irish National Teens Food Survey, in which food intake data were collected using a semi-quantitative 7 d food diary. Thirty-two food groups were created and were expressed as either g/d or percentage contribution to total energy. Dietary patterns were identified using cluster analysis (k-means) and PCA.SettingRepublic of Ireland, 2005–2006.SubjectsA representative sample of 441 adolescents aged 13–17 years.ResultsFive clusters based on percentage contribution to total energy were identified, ‘Healthy’, ‘Unhealthy’, ‘Rice/Pasta dishes’, ‘Sandwich’ and ‘Breakfast cereal & Main meal-type foods’. Four principal components based on g/d were identified which explained 28 % of total variance: ‘Healthy foods’, ‘Traditional foods’, ‘Sandwich foods’ and ‘Unhealthy foods’.ConclusionsA ‘Sandwich’ and an ‘Unhealthy’ pattern are the main dietary patterns in this sample. Patterns derived from either cluster analysis or PCA were comparable, although it appears that cluster analysis also identifies dietary patterns not identified through PCA, such as a ‘Breakfast cereal & Main meal-type foods’ pattern. Consideration of the format of the dietary variable is important as it can directly impact on the patterns obtained for both cluster analysis and PCA.

scholarly journals Salivary Protein Profile and Food Intake: A Dietary Pattern Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Teresa Louro ◽  
Carla Simões ◽  
Wilmara Lima ◽  
Laura Carreira ◽  
Paula Midori Castelo ◽  
...  
Keyword(s):  
Food Intake ◽  
Dietary Patterns ◽  
Dietary Habits ◽  
Protein Profile ◽  
Protein Composition ◽  
Principal Component ◽  
Salivary Protein ◽  
Dietary Pattern Analysis ◽  
Starchy Foods ◽  
Different Levels

Saliva research has gained interest due to its potential as a source of biomarkers. One of the factors inducing changes in saliva, in the short term, is food intake, and evidence exist about changes in salivary proteome induced by some food components. Since this topic of research is in its early stages, it was hypothesized that saliva protein composition could be associated with different levels of adherence to dietary patterns that contain higher amounts of plant products. The aim of the present study was to test this hypothesis, in adults, by comparing salivary protein electrophoretic profiles of individuals with different diet characteristics, particularly dietary patterns (DP) that exhibit different proportions of animal and plant-based products. Dietary habits were assessed in 122 adults (61 from each sex, with ages ranging from 20 to 59 years) using Food Frequency Questionnaires. To identify the dietary patterns, a principal component analysis was used. Individual’s non-stimulated saliva was evaluated for flow rate, pH, protein concentration, α-amylase activity, and electrophoretic protein profiles. Seven dietary patterns (DP) were identified. Salivary amylase enzymatic activity was positively associated with animal-based and starchy foods DP, and with plant-based fatty foods without wine DP. At the same time, protein bands containing amylase and type S cystatins were positively associated with the cheese/yoghurt and wine DP. Our results support the association of salivary proteomics and different dietary patterns and highlight the need of considering food consumption habits in studies using saliva, since this is a factor associated with variations in the composition of this fluid.

scholarly journals Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

2020 ◽  
Author(s):  
Adi Lukas Kurniawan ◽  
Chien-Yeh Hsu ◽  
Hsiu-An Lee ◽  
Hsiao-Hsien Rau ◽  
Rathi Paramastri ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Kidney Function ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Density Lipoprotein ◽  
Principal Component ◽  
Dietary Guidelines ◽  
Food Groups ◽  
Reduced Rank Regression ◽  
Sugary Drinks

Abstract Background: Dietary patterns were associated with the risk of chronic disease development and outcome-related diseases. In this study, we aimed to compare the correlation between dietary patterns and metabolic syndrome (MetS) using two methods for identifying dietary patterns.Methods: The participants (n = 25,569) aged ≥ 40 years with impaired kidney function were retrieved from Mei Jau (MJ) Health Screening database from 2008 to 2010. Dietary patterns were identified by principal component analysis (PCA) and reduced rank regression (RRR) from twenty-two food groups using PROC FACTOR and PROC PLS functions.Results: We identified two similar dietary pattern characteristics (high intakes of deep fried foods, preserved or processed foods, dipping sauce, meat, sugary drinks, organ meats, jam/honey, fried rice/flour products, instant noodles and eggs) derived by PCA and RRR. Logistic regression analysis revealed that RRR-derived dietary pattern scores were positively associated with an odds ratio (OR = 1.70, 95% CI: 1.56, 1.86) of having MetS than PCA-derived dietary pattern scores (OR = 1.38, 95% CI: 1.27, 1.51). The correlations between RRR-derived dietary pattern scores and elevated systolic and diastolic blood pressure (OR = 1.30 for both) or low high density lipoprotein cholesterol in women (OR = 1.32) were statistically significant but not significant in PCA-derived dietary pattern scores.Conclusions: Our findings suggest that RRR gives better results when studying behavior related dietary patterns in association with MetS. RRR may be more preferable to provide dietary information for developing dietary guidelines among people with MetS. Further studies with prospective measurements are needed to verify whether RRR is a useful analytic tool for the association between dietary patterns and other chronic diseases.

scholarly journals Dietary Patterns in New Zealand Women: Evaluating Differences in Body Composition and Metabolic Biomarkers

Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1643 ◽  
Author(s):  
Shakeela N. Jayasinghe ◽  
Bernhard H. Breier ◽  
Sarah A. McNaughton ◽  
Aaron P. Russell ◽  
Paul A. Della Gatta ◽  
...  
Keyword(s):  
Body Composition ◽  
New Zealand ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Principal Component ◽  
Food Groups ◽  
Total Body ◽  
Study Participants ◽  
Plasma Leptin ◽  
Metabolic Biomarkers

The combinations of food consumed together (dietary patterns) may have a greater influence on health than nutrients or food groups consumed independently. This study investigated the relationship between dietary patterns, body composition and metabolic biomarkers of premenopausal New Zealand women from three ethnic groups. In total, 408 New Zealand European, Māori and Pacific women aged 16–45 years participated in the Women’s EXPLORE (EXamining Predictors Linking Obesity Related Elements) study. Participants completed a 220-item food frequency questionnaire. Several body composition parameters and metabolic biomarkers were measured. Dietary patterns were extracted by principal component analysis and dietary pattern scores were categorised into tertiles to assess links with other measured parameters. Women with higher scores for the ‘refined and processed’ pattern were younger, had higher body mass index, total body fat, plasma leptin and plasma insulin (p < 0.001), and lower plasma ghrelin levels (p < 0.05) than women with lower scores. In addition, more Māori (51%) and Pacific (68%) women followed the ‘refined and processed’ pattern, while more New Zealand European women (40%) followed the ‘sweet and savoury snacking’ pattern. These data show that dietary pattern analysis is a useful tool to assess links between diet and metabolic health. It further reveals interesting ethnic group-specific differences in dietary pattern use.

scholarly journals Food Involvement, Eating Restrictions and Dietary Patterns in Polish Adults: Expected Effects of Their Relationships (LifeStyle Study)

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1200 ◽  
Author(s):  
Marzena Jezewska-Zychowicz ◽  
Jerzy Gębski ◽  
Milena Kobylińska
Keyword(s):  
Dietary Patterns ◽  
Eating Behaviors ◽  
Eating Habits ◽  
Meat Products ◽  
Principal Component ◽  
Fruit And Vegetables ◽  
Food Groups ◽  
Fast Foods ◽  
Unhealthy Eating ◽  
Food Involvement

Understanding the factors that coexist with healthy and unhealthy eating behaviors is prevalent and important for public health. The aim of this study was to investigate the associations between food involvement, eating restrictions, and dietary patterns in a representative sample of Polish adults. The study was conducted among a group of 1007 adults. Questions with the answers yes or no were used to obtain the data regarding eating restrictions. Data relating to food involvement were obtained with the Food Involvement Scale (FIS). Questions from the Beliefs and Eating Habits questionnaire were used to measure the frequency of consumption of different food groups. Five dietary patterns (DPs) were derived using principal component analysis (PCA), i.e., ‘Fruit and vegetables’, ‘Wholemeal food’, ‘Fast foods and sweets’, ‘Fruit and vegetable juices’ and “Meat and meat products’. In each of the DPs, three groups of participants were identified based on tertile distribution with the upper tertile denoting the most frequent consumption. Nearly two-thirds of the study sample declared some restrictions in food consumption. The probability of implementing restrictions in consumption of foods high in sugar, fat and high-fat foods increased in the upper tertile of ‘Fruit and vegetables’ and ‘Wholemeal’ DPs. Moreover, the probability of implementing restrictions in consumption of meat and high-starch products increased in ‘Wholemeal’ DP. The probability of using eating restrictions decreased in the upper tertile of ‘Fast foods and sweets’ and Meat and meat products’ DPs. In conclusion, individuals characterized by high food involvement were more inclined to use eating restrictions than individuals with lower food involvement. Their DPs were also healthier compared to those of individuals manifesting low food involvement. Therefore, promoting personal commitment to learning about and experiencing food may be an effective way of inducing a change of eating habits, and therefore a healthier diet.

Sign in / Sign up

Export Citation Format

Share Document