scholarly journals Use of a common food frequency questionnaire (FFQ) to assess dietary patterns and their relation to allergy and asthma in Europe: pilot study of the GA2LEN FFQ

2011 ◽  
Vol 65 (6) ◽  
pp. 750-756 ◽  
Author(s):  
V Garcia-Larsen ◽  
◽  
M Luczynska ◽  
M L Kowalski ◽  
H Voutilainen ◽  
...  
2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
Cristina Palacios ◽  
Roxana Torres ◽  
Maria Trak ◽  
Kaumudi Joshipura ◽  
Walter Willett

2016 ◽  
Vol 58 (6) ◽  
pp. 608 ◽  
Author(s):  
Edgar Denova-Gutiérrez ◽  
Katherine L Tucker ◽  
Jorge Salmerón ◽  
Mario Flores ◽  
Simón Barquera

2015 ◽  
Vol 115 (4) ◽  
pp. 551-558 ◽  
Author(s):  
Virginia C. Mills ◽  
Paula M.L. Skidmore ◽  
Emily O. Watson ◽  
Rachael W. Taylor ◽  
Elizabeth A. Fleming ◽  
...  

2020 ◽  
Vol 158 (6) ◽  
pp. S-486-S-487
Author(s):  
Maaz Ahsan ◽  
Filippos Koutroumpakis ◽  
Claudia Ramos Rivers ◽  
Elyse Johnston ◽  
Siobhan Proksell ◽  
...  

2007 ◽  
Vol 10 (3) ◽  
pp. 245-251 ◽  
Author(s):  
David G Schlundt ◽  
Maciej S Buchowski ◽  
Margaret K Hargreaves ◽  
Jean H Hankin ◽  
Lisa B Signorello ◽  
...  

AbstractObjectiveA food-frequency questionnaire (FFQ) was developed to assess habitual dietary intake in the Southern Community Cohort Study (SCCS), a prospective epidemiological study to analyse disparities in cancer and other chronic diseases between African-Americans and Whites.DesignFrequency and portion size estimates were obtained for each of 104 foods. Daily intakes of 13 food groups, energy and 18 nutrients were computed. Each participant's rank and quintile classification of nutrient intakes was determined with and without the use of the subject's reported portion size.SubjectsThe sample was obtained from the SCCS pilot study conducted in Tennessee, Mississippi and Florida, and consisted of 209 adults, 54% African-American, with a mean (standard deviation) age of 57.1 (12.5) years.ResultsCorrelations between the ranks from the two methods of estimation were high, ranging from 0.66 to 0.94 for food groups and 0.81 to 0.94 for nutrients. Pearson correlations were similarly high for food groups and nutrients. Concordance in exact quintile rank across the nutrient indices ranged from 52 to 70%, rising to 90–99% for concordance within adjacent quintiles.ConclusionsTo reduce the respondents' burden and to increase data completeness, the assignment of a uniform portion size when scoring the SCCS FFQ was considered acceptable.


1989 ◽  
Vol 44 (4) ◽  
pp. 847-855
Author(s):  
Junko Ikeda ◽  
Hisanori Nagata ◽  
Akane Higashi ◽  
Kotaro Ozasa ◽  
Yoshiyuki Watanabe ◽  
...  

2004 ◽  
Vol 7 (8) ◽  
pp. 1017-1024 ◽  
Author(s):  
R Villegas ◽  
A Salim ◽  
MM Collins ◽  
A Flynn ◽  
IJ Perry

AbstractObjectives:To identify and characterise dietary patterns in a middle-aged Irish population sample and study associations between these patterns, sociodemographic and anthropometric variables and major risk factors for cardiovascular disease.Design:A cross-sectional study.Subjects and methods:A group of 1473 men and women were sampled from 17 general practice lists in the South of Ireland. A total of 1018 attended for screening, with a response rate of 69%. Participants completed a detailed health and lifestyle questionnaire and provided a fasting blood sample for glucose, lipids and homocysteine. Dietary intake was assessed using a standard food-frequency questionnaire adapted for use in the Irish population. The food-frequency questionnaire was a modification of that used in the UK arm of the European Prospective Investigation into Cancer study, which was based on that used in the US Nurses' Health Study. Dietary patterns were assessed primarily by K-means cluster analysis, following initial principal components analysis to identify the seeds.Results:Three dietary patterns were identified. These clusters corresponded to a traditional Irish diet, a prudent diet and a diet characterised by high consumption of alcoholic drinks and convenience foods. Cluster 1 (Traditional Diet) had the highest intakes of saturated fat (SFA), monounsaturated fat (MUFA) and percentage of total energy from fat, and the lowest polyunsaturated fat (PUFA) intake and ratio of polyunsaturated to saturated fat (P:S). Cluster 2 (Prudent Diet) was characterised by significantly higher intakes of fibre, PUFA, P:S ratio and antioxidant vitamins (vitamins C and E), and lower intakes of total fat, MUFA, SFA and cholesterol. Cluster 3 (Alcohol & Convenience Foods) had the highest intakes of alcohol, protein, cholesterol, vitamin B12, vitamin B6, folate, iron, phosphorus, selenium and zinc, and the lowest intakes of PUFA, vitamin A and antioxidant vitamins (vitamins C and E). There were significant differences between clusters in gender distribution, smoking status, physical activity, body mass index, waist circumference and serum homocysteine concentrations.Conclusion:In this general population sample, cluster analysis methods yielded two major dietary patterns: prudent and traditional. The prudent dietary pattern is associated with other health-seeking behaviours. Study of dietary patterns will help elucidate links between diet and disease and contribute to the development of healthy eating guidelines for health promotion.


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