scholarly journals Identification of dietary patterns by principal component analysis in schoolchildren in the South of Brazil and associated factors

2020 ◽  
Vol 20 (3) ◽  
pp. 735-745
Author(s):  
Gabriela Rodrigues Bratkowski ◽  
Vanessa Backes ◽  
Maria Teresa Olinto ◽  
Ruth Liane Henn
Keyword(s):  
Principal Component Analysis ◽  
Dietary Patterns ◽  
Associated Factors ◽  
Principal Component ◽  
First Grade ◽  
Component Analysis ◽  
Cross Sectional Study ◽  
The South ◽  
Cross Sectional ◽  
South Of Brazil

Abstract Objectives: to identify dietary patterns (DP) and associated factors in first grade school-children in elementary schools in the South of Brazil. Methods: school-based cross-sectional study, with a non-probabilistic sample of 782 schoolchildren aged 6 to 8. Food intake was assessed by a food frequency questionnaire. DP were identified using the principal component analysis and the prevalence ratios were obtained by Poisson regression with a robust variance. Results: four DP were identified and accounted for 25.3% of the total variance: "fruit, vegetables and fish" (8.5%), "sweets and salty snacks" (7.0%), "dairy, ham and biscuits" (5.0%) and "common Brazilian food" (4.8%). After the adjustment, breakfast habit and lower frequency of meals in front of a screen increased the probability of adherence to a high consumption of DP of "fruit, vegetables and fish". The maternal schooling level was linearly and inversely associated with DP of "sweets and salty snacks" and "common Brazilian food", and positively related to the DP of "dairy, ham and biscuits". Schoolchildren with food inse-curity and sufficiently active had higher probability of adherence to DP of "common Brazilian food". Conclusions: four DP were identified and associated with food insecurity, maternal socioeconomic characteristics and schoolchildren’s behavioral characteristics.

scholarly journals PENERAPAN ANALISIS KOMPONEN PRINSIPAL DALAM MEMBENTUK INDEKS PENGETAHUAN TENTANG FILARIASIS

2019 ◽  
Vol 17 (3) ◽  
pp. 146-154
Author(s):  
Anton Suryatma ◽  
Tities Puspita
Keyword(s):  
Principal Component Analysis ◽  
Predictor Variable ◽  
Principal Component ◽  
Component Analysis ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Future Studies ◽  
Multicentre Research ◽  
Health Research And Development ◽  
Structured Questionnaire

ABSTRACT Knowledge about filariasis is one of many importance dimensions of succsessing filariasis elimination in Indonesia. This study aims at forming knowledge index about filariasis using principal component analysis. Principal component analysis methods have been used to reduce the researcher subjectivity in making knowledge composit. Data was from multicentre research on filaria 2017 by Indonesian National Institute of Health Research and Development. It was a cross sectional study conducted in 23 districts with 13,266 respondents. Ten questions about the causes and impacts of filariasis were asked with a structured questionnaire. Tetrachoric correlation and principal component analysis were used in data analysis. The knowledge index could explain 45.18% (rho=0.4518) of knowledge variations from the ten questions. This index can potentially be used as an output or a predictor variable in advance analysis. Future studies should take into account all levels and depths of knowledge when forming a knowledge composit. Keywords: knowledge, filaria, filariasis, principal component analysis   ABSTRAK Pengetahuan tentang filariasis merupakan salah satu dimensi penting dalam keberhasilan eliminasi filariasis di Indonesia. Studi ini bertujuan untuk membentuk indeks pengetahuan tentang filariasis menggunakan metode analisis komponen prinsipal. Metode analisis komponen prinsipal digunakan untuk mengurangi subjektifitas peneliti dalam membentuk komposit pengetahuan. Data yang digunakan berasal dari penelitian multisenter filariasis 2017 yang dilakukan oleh Badan Penelitian dan Pengembangan Kesehatan. Penelitian tersebut merupakan penelitian potong lintang di 23 Kabupaten dengan 13.266 responden. Terdapat sepuluh pertanyaan yang ditanyakan melalui kuesioner terstruktur mengenai penyebab dan akibat dari filariasis. Data dianalisis dengan korelasi tetrakorik dan analisis komponen prinsipal. Indeks pengetahuan filariasis yang terbentuk dapat menjelaskan 45,18% (rho=0,4518) variasi pengetahuan dari 10 pertanyaan. Indeks ini dapat digunakan dalam analisis lanjutan sebagai variabel output atau prediktor. Disarankan untuk mempertimbangkan tingkatan dan kedalaman pengetahuan apabila hendak membentuk komposit pengetahuan filariasis. Kata kunci: pengetahuan, filaria, filariasis, analisis komponen prinsipal

Sociodemographic characteristics and dietary patterns in cardiometabolic risk subjects

2019 ◽  
Vol 121 (11) ◽  
pp. 2780-2790 ◽  
Author(s):  
Brenda Kelly Souza Silveira ◽  
Juliana Farias de Novaes ◽  
Sarah Aparecida Vieira ◽  
Daniela Mayumi Usuda Prado Rocha ◽  
Arieta Carla Gualandi Leal ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Dietary Patterns ◽  
Cardiovascular Health ◽  
Cardiometabolic Risk ◽  
Principal Component ◽  
Component Analysis ◽  
Unhealthy Lifestyle ◽  
Cross Sectional ◽  
Content Type ◽  
Traditional Pattern

Purpose The purpose of this paper is to examine the associations of dietary patterns with sociodemographic and lifestyle characteristics in a cardiometabolic risk population. Design/methodology/approach In this cross-sectional study data from 295 (n=123 men/172 women, 42±16 years) participants in a Cardiovascular Health Care Program were included. After a 24-hour recall interview the dietary patterns were determined using principal component analysis. Sociodemographic, clinical and lifestyle data were collected by medical records. Findings Subjects with diabetes and hypertension had a higher adherence in the “traditional” pattern (rice, beans, tubers, oils and meats). Poisson regression models showed that male subjects with low schooling and smokers had greater adherence to the “traditional” pattern. Also, students, women, and those with higher schooling and sleeping =7 h/night showed higher adherence to healthy patterns (whole grains, nuts, fruits and dairy). Women, young adults and those with higher schooling and fewer sleep hours had greater adherence to healthy dietary patterns. Those with low schooling and unhealthy lifestyle showed more adherence to the “traditional” pattern. Social implications The results indicate the importance to personalized nutritional therapy and education against cardiometabolic risk, considering the dietary patterns specific to each population. Originality/value Socioeconomic and lifestyle characteristics can influence dietary patterns and this is one of the few studies that investigated this relationship performing principal component analysis.

scholarly journals Deep Phenotyping of Headache in Hospitalized COVID-19 Patients via Principal Component Analysis

2020 ◽  
Vol 11 ◽  
Author(s):  
Álvaro Planchuelo-Gómez ◽  
Javier Trigo ◽  
Rodrigo de Luis-García ◽  
Ángel L. Guerrero ◽  
Jesús Porta-Etessam ◽  
...  
Keyword(s):  
Physical Activity ◽  
Principal Component Analysis ◽  
Linear Models ◽  
Principal Component ◽  
Component Analysis ◽  
Cross Sectional Study ◽  
Tension Type Headache ◽  
Common Symptom ◽  
Cross Sectional ◽  
Novel Coronavirus

Objectives: Headache is a common symptom in systemic infections, and one of the symptoms of the novel coronavirus disease 2019 (COVID-19). The objective of this study was to characterize the phenotype of COVID-19 headache via machine learning.Methods: We performed a cross-sectional study nested in a retrospective cohort. Hospitalized patients with COVID-19 confirmed diagnosis who described headache were included in the study. Generalized Linear Models and Principal Component Analysis were employed to detect associations between intensity and self-reported disability caused by headache, quality and topography of headache, migraine features, COVID-19 symptoms, and results from laboratory tests.Results: One hundred and six patients were included in the study, with a mean age of 56.6 ± 11.2, including 68 (64.2%) females. Higher intensity and/or disability caused by headache were associated with female sex, fever, abnormal platelet count and leukocytosis, as well as migraine symptoms such as aggravation by physical activity, pulsating pain, and simultaneous photophobia and phonophobia. Pain in the frontal area (83.0% of the sample), pulsating quality, higher intensity of pain, and presence of nausea were related to lymphopenia. Pressing pain and lack of aggravation by routine physical activity were linked to low C-reactive protein and procalcitonin levels.Conclusion: Intensity and disability caused by headache attributed to COVID-19 are associated with the disease state and symptoms. Two distinct headache phenotypes were observed in relation with COVID-19 status. One phenotype seems to associate migraine symptoms with hematologic and inflammatory biomarkers of severe COVID-19; while another phenotype would link tension-type headache symptoms to milder COVID-19.

scholarly journals Compositional principal component analysis generates gut microbiota profiles that associate with children's diet and body composition

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Claudia Leong ◽  
Jillian J. Haszard ◽  
Anne-Louise M. Heath ◽  
Gerald W. Tannock ◽  
Blair Lawley ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Body Composition ◽  
Body Size ◽  
Gut Microbiota ◽  
Dietary Patterns ◽  
Principal Component ◽  
Component Analysis ◽  
Z Score ◽  
Cross Sectional ◽  
The Impact

AbstractGut microbiota data obtained by DNA sequencing are not only complex because of the number of taxa that may be detected within human cohorts, but also compositional because characteristics of the microbiota are described in relative terms (e.g., “relative abundance” of particular bacterial taxa expressed as a proportion of the total abundance of taxa). Nutrition researchers often use standard principal component analysis (PCA) to derive dietary patterns from complex food data, enabling each participant's diet to be described in terms of the extent to which it fits their cohort's dietary patterns. However, compositional PCA methods are not commonly used to describe patterns of microbiota in the way that dietary patterns are used to describe diets. This approach would be useful for identifying microbiota patterns that are associated with diet and body composition. The aim of this study is to use compositional PCA to describe gut microbiota profiles in 5 year old children and explore associations between microbiota profiles, diet, body mass index (BMI) z-score, and fat mass index (FMI) z-score. This study uses a cross-sectional data for 319 children who provided a faecal sample at 5 year of age. Their primary caregiver completed a 123-item quantitative food frequency questionnaire validated for foods of relevance to the gut microbiota. Body composition was determined using dual-energy x-ray absorptiometry, and BMI and FMI z-scores calculated. Compositional PCA identified and described gut microbiota profiles at the genus level, and profiles were examined in relation to diet and body size. Three gut microbiota profiles were found. Profile 1 (positive loadings on Blautia and Bifidobacterium; negative loadings on Bacteroides) was not related to diet or body size. Profile 2 (positive loadings on Bacteroides; negative loadings on uncultured Christensenellaceae and Ruminococcaceae) was associated with a lower BMI z-score (r = -0.16, P = 0.003). Profile 3 (positive loadings on Faecalibacterium, Eubacterium and Roseburia) was associated with higher intakes of fibre (r = 0.15, P = 0.007); total (r = 0.15, P = 0.009), and insoluble (r = 0.13, P = 0.021) non-starch polysaccharides; protein (r = 0.12, P = 0.036); meat (r = 0.15, P = 0.010); and nuts, seeds and legumes (r = 0.11, P = 0.047). Further regression analyses found that profile 2 and profile 3 were independently associated with BMI z-score and diet respectively. We encourage fellow researchers to use compositional PCA as a method for identifying further links between the gut, diet and obesity, and for developing the next generation of research in which the impact on body composition of dietary interventions that modify the gut microbiota is determined.

scholarly journals Application of Principal Component Analysis in the estimation of potential factors associated with the prevalence of deaths in cases of spinal cord trauma

2021 ◽  
Author(s):  
Letícia Viana Martins Beltrão ◽  
Ana Paula Cecília Braga ◽  
Anna Luiza Alves de Oliveira MIranda Miranda ◽  
Walther Augusto de Carvalho ◽  
Cláudio Eduardo Corrêa Teixeira
Keyword(s):  
Spinal Cord ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Cross Sectional Study ◽  
Spinal Cord Trauma ◽  
Cross Sectional ◽  
Hospitalization Period ◽  
Potential Risk Factors ◽  
Potential Factors

Background: In Brazil, the mortality indicators for spinal cord trauma (SCT) are poorly known. Therefore, identifyng potential risk factors for death due to SCI is fundamental for preventive actions which suits each country region’s specificities. Design and setting: Cross-sectional study (Parecer no. 1.451.493), with the analysis of 786 medical records of SCT cases hospitalized between 2010 and 2015 at a reference hospital in Belém, Pará, Brazil. Methods: We used Principal Component Analysis (PCA) to estimate potential factors that contribute to the SCT, the following factors were analyzed: intervention (conservative/surgical), hospitalization period ( one week), vertebral segment affected (cervical or not), treatment cost ( 1 minimum wage), management (multiprofessional or not), distance to care, sequels, age and gender. Data analysis was performed using R. Results: The type of management and intervention and patients’ age were factors that most influenced (~20%) the outcome (death/survival). However, this indicates that ~ 80% of the outcome’s variability is due to other factors. Conclusions: PCA is useful to indicate potential factors to be considered as influencing the prevalence of death in SCT cases. The use of these data in discriminatory analyzes, hereafter, can help to clarify this topic.

scholarly journals Association of Dietary Patterns with Metabolic Syndrome: Results from the Kardiovize Brno 2030 Study

Nutrients ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 898 ◽  
Author(s):  
Antonella Agodi ◽  
Andrea Maugeri ◽  
Sarka Kunzova ◽  
Ondrej Sochor ◽  
Hana Bauerova ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
International Diabetes Federation ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Western Dietary Pattern ◽  
High Adherence

Although metabolic syndrome (MetS) could be handled by lifestyle interventions, its relationship with dietary patterns remains unclear in populations from Central Europe. Using data from the Kardiovize Brno cohort, the present study aims to identify the main dietary patterns and to evaluate their association with MetS risk in a random urban sample from Brno, Czech Republic. In a cross-sectional study of 1934 subjects aged 25–65 years (44.3% male), dietary patterns were derived by food frequency questionnaire (FFQ) administration and principal component analysis. Metabolic syndrome was defined according to the International Diabetes Federation statement. Logistic regression models were applied. High adherence to the prudent dietary pattern was associated with lower odds of abdominal obesity, abnormal glucose concentration, and MetS. By contrast, high adherence to the western dietary pattern was associated with higher odds of abnormal glucose, triglycerides and blood pressure levels. Whilst our results confirm the deleterious effect of a western dietary pattern on several metabolic risk factors, they also indicate that the consumption of a diet rich in cereals, fish, fruit and vegetables is associated with a healthier metabolic profile. However, further prospective research is warranted to develop and validate novel potential preventive strategies against MetS and its complications.

scholarly journals Theoretical and empirical dimensions of the Aberdeen Glaucoma Questionnaire: a cross sectional survey and principal component analysis

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Maria Prior ◽  
Craig R Ramsay ◽  
Jennifer M Burr ◽  
Susan E Campbell ◽  
David J Jenkinson ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Cross Sectional Survey ◽  
Cross Sectional

scholarly journals Diets High in Vegetables, Fruits, Cereals, and Tubers as a Protective Factor for Metabolic Syndrome in Bank Employees (P08-048-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Monica Cattafesta ◽  
Luciane Salaroli
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Protective Factor ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Metabolic Complications ◽  
The Third ◽  
Bank Employees

Abstract Objectives Evaluate the association of dietary patterns in bank employees with the presence of metabolic syndrome (MetS), considering sociodemographic and behavioral factors as well as laboratory tests. Methods This was a cross-sectional study of 515 bankers in Brazil. Sociodemographic, occupational, behavioral, and food consumption data were collected. Dietary patterns were determined by principal component analysis with orthogonal varimax rotation. Results The dietary pattern of vegetables, fruits, cereals, and tubers was correlated with the presence of MetS and with waist circumference (WC) measurements and triglyceride (TG) levels. Individuals who adhered less well this pattern had a higher WC (93 ± 17 cm in the first quintile vs 87 ± 19 cm in the fifth quintile, P = 0.001; and 93 ± 17 cm in the first quintile vs 84 ± 18 cm in the third quintile, P = 0.019), as well as a higher level of blood TG (121 ± 71 mg/dL in the first quintile vs 111 ± 72 mg/dL in the fifth quintile, P = 0.003). Individuals in the third and fifth quintiles of the pattern “vegetables, fruits, cereals, and tubers” presented with 3.28 and 2.24 times less chances of MetS when compared to individuals in the first quintile of this dietary pattern (OR 0.30, 95% CI 0.13–0.67, and OR 0.44, 95% CI 0.21–0.92, respectively). Subjects over 45 years of age were almost twice as likely to develop MetS (OR 1.95, 95% CI 1.01–3.77). Conclusions Healthy eating represented by the dietary pattern “vegetables, fruits, cereals, and tubers” was associated with better health among bank employees, especially when evaluating competing metabolic complications such as MetS. Funding Sources Foundation for Support to Research and Innovation of Espírito Santo (FAPES). Supporting Tables, Images and/or Graphs

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