scholarly journals Adjusting for energy intake in dietary pattern investigations using principal components analysis

2007 ◽  
Vol 62 (7) ◽  
pp. 931-938 ◽  
Author(s):  
K Northstone ◽  
A R Ness ◽  
P M Emmett ◽  
I S Rogers
Keyword(s):  
Principal Components Analysis ◽  
Energy Intake ◽  
Principal Components ◽  
Dietary Pattern ◽  
Components Analysis

scholarly journals Rurality and dietary patterns: associations in a UK cohort study of 10-year-old children

2014 ◽  
Vol 18 (8) ◽  
pp. 1436-1443 ◽  
Author(s):  
Tim T Morris ◽  
Kate Northstone
Keyword(s):  
Cohort Study ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Dietary Patterns ◽  
Rural Areas ◽  
Dietary Pattern ◽  
Urban Areas ◽  
Urban Group ◽  
Urban Rural ◽  
Components Analysis

AbstractObjectiveDespite differences in obesity and ill health between urban and rural areas in the UK being well documented, very little is known about differences in dietary patterns across these areas. The present study aimed to examine whether urban/rural status is associated with dietary patterns in a population-based UK cohort study of children.DesignDietary patterns were obtained using principal components analysis and cluster analysis of 3 d diet records collected from children at 10 years of age. Rurality was obtained from the 2001 UK Census urban/rural indicator at the time of dietary assessment. General linear models were used to examine the relationship between rurality and dietary pattern scores from principal components analysis; multinomial logistic regression was used to assess the association between rurality and dietary clusters.SettingThe Avon Longitudinal Study of Parents and Children (ALSPAC), South West England.SubjectsChildren (n 5677) aged 10 years (2817 boys and 2860 girls).ResultsAfter adjustment, increases in rurality were associated with increased scores on the ‘health awareness’ dietary pattern (β=0·35; 95 % CI 0·14, 0·56; P<0·001 for the most rural compared with the most urban group) and lower scores on the ‘packed lunch/snack’ dietary pattern (β=−0·39; 95 % CI −0·59, −0·19; P<0·001 for the most rural compared with the most urban group). The odds ratio for participants being in the ‘healthy’ compared with the ‘processed’ dietary cluster for the most rural areas was 1·61 (95 % CI 1·05, 2·49; P=0·02) compared with those in the most urban areas.ConclusionsThere is evidence to suggest that differences exist in dietary patterns between rural and urban areas. Similar results were found using two different methods of dietary pattern analysis, showing that children residing in rural households were more likely to consume healthier diets than those in urban households.

scholarly journals Cardiorespiratory fitness is positively associated with a healthy dietary pattern in New Zealand adolescents

2015 ◽  
Vol 19 (7) ◽  
pp. 1279-1287 ◽  
Author(s):  
Anna S Howe ◽  
Paula ML Skidmore ◽  
Winsome R Parnell ◽  
Jyh Eiin Wong ◽  
Alexandra C Lubransky ◽  
...  
Keyword(s):  
New Zealand ◽  
Principal Components Analysis ◽  
Cardiorespiratory Fitness ◽  
Principal Components ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Fruits And Vegetables ◽  
Total Sample ◽  
Components Analysis ◽  
Online Lifestyle

AbstractObjectiveTo examine the association between cardiorespiratory fitness and dietary patterns in adolescents.DesignFood choice was assessed using the validated New Zealand Adolescent FFQ. Principal components analysis was used to determine dietary patterns. Trained research assistants measured participants’ height and body mass. Cardiorespiratory fitness was assessed in a subset of participants using the multistage 20 m shuttle run. The level and stage were recorded, and the corresponding VO2max was calculated. Differences in mean VO2max according to sex and BMI were assessed using t tests, while associations between cardiorespiratory fitness and dietary patterns were examined using linear regression analyses adjusted for age, sex, school attended, socio-economic deprivation and BMI.SettingSecondary schools in Otago, New Zealand.SubjectsStudents (n 279) aged 14–18 years who completed an online lifestyle survey during a class period.ResultsPrincipal components analysis produced three dietary patterns: ‘Treat Foods’, ‘Fruits and Vegetables’ and ‘Basic Foods’. The 279 participants who provided questionnaire data and completed cardiorespiratory fitness testing had a mean age of 15·7 (sd 0·9) years. Mean VO2max was 45·8 (sd 6·9) ml/kg per min. The ‘Fruits and Vegetables’ pattern was positively associated with VO2max in the total sample (β=0·04; 95 %CI 0·02, 0·07), girls (β=0·06; 95 % CI 0·03, 0·10) and boys (β=0·03; 95 % CI 0·01, 0·05).ConclusionsThese results indicate that increase in cardiorespiratory fitness was associated with a healthier dietary pattern, suggesting both should be targeted as part of a global lifestyle approach. Longitudinal studies are needed to confirm this association in relation to health outcomes in New Zealand adolescents.

Diagnoses Generated by Numerical Taxonomic Methods Applied to Standard Blood Variables

1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton
Keyword(s):  
Liver Cirrhosis ◽  
Renal Disease ◽  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Chronic Renal Disease ◽  
Function Analysis ◽  
Infectious Hepatitis ◽  
Components Analysis

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.

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