Literature DB >> 15548339

Dietary patterns in middle-aged Irish men and women defined by cluster analysis.

R Villegas1, A Salim, M M Collins, A Flynn, I J Perry.   

Abstract

OBJECTIVES: 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 B(12), vitamin B(6), 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.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15548339     DOI: 10.1079/PHN2004638

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  24 in total

1.  Dietary patterns matter: diet beverages and cardiometabolic risks in the longitudinal Coronary Artery Risk Development in Young Adults (CARDIA) Study.

Authors:  Kiyah J Duffey; Lyn M Steffen; Linda Van Horn; David R Jacobs; Barry M Popkin
Journal:  Am J Clin Nutr       Date:  2012-02-29       Impact factor: 7.045

2.  Food and nutrient intake of Irish community-dwelling elderly subjects: who is at nutritional risk?

Authors:  S E Power; I B Jeffery; R P Ross; C Stanton; P W O'Toole; E M O'Connor; G F Fitzgerald
Journal:  J Nutr Health Aging       Date:  2014       Impact factor: 4.075

3.  Dietary patterns and the association with dietary quality among Mongolian immigrants in South Korea.

Authors:  Haeryun Park; Zuunnast Tserendejid; Kyung-Hee Song; Jounghee Lee; Youngmi Lee
Journal:  J Immigr Minor Health       Date:  2015-04

4.  Vitamin B12 and Homocysteine Associations with Gait Speed in Older Adults: The Baltimore Longitudinal Study of Aging.

Authors:  M L Vidoni; K Pettee Gabriel; S T Luo; E M Simonsick; R S Day
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

5.  Dietary patterns are associated with disease risk among participants in the Women's Health Initiative Observational Study.

Authors:  Linda Van Horn; Lu Tian; Marian L Neuhouser; Barbara V Howard; Charles B Eaton; Linda Snetselaar; Nirupa R Matthan; Alice H Lichtenstein
Journal:  J Nutr       Date:  2011-12-21       Impact factor: 4.798

6.  Dietary patterns in infancy and their associations with maternal socio-economic and lifestyle factors among 758 Japanese mother-child pairs: the Osaka Maternal and Child Health Study.

Authors:  Hitomi Okubo; Yoshihiro Miyake; Satoshi Sasaki; Keiko Tanaka; Kentaro Murakami; Yoshio Hirota
Journal:  Matern Child Nutr       Date:  2012-03-29       Impact factor: 3.092

7.  Using factor analysis to identify dietary patterns in Iranian adults: Isfahan Healthy Heart Program.

Authors:  Noushin Mohammadifard; Nizal Sarrafzadegan; Fatemeh Nouri; Firoozeh Sajjadi; Hasan Alikhasi; Maryam Maghroun; Roya Kelishadi; Farhad Iraji; MohammadReza Rahmati
Journal:  Int J Public Health       Date:  2011-05-05       Impact factor: 3.380

8.  Dietary glycaemic load associated with cognitive performance in elderly subjects.

Authors:  Susan E Power; Eibhlís M O'Connor; R Paul Ross; Catherine Stanton; Paul W O'Toole; Gerald F Fitzgerald; Ian B Jeffery
Journal:  Eur J Nutr       Date:  2014-07-18       Impact factor: 5.614

9.  How dietary patterns could have a role in prevention, progression, or management of diabetes mellitus? Review on the current evidence.

Authors:  Zahra Maghsoudi; Leila Azadbakht
Journal:  J Res Med Sci       Date:  2012-07       Impact factor: 1.852

10.  Five meal patterns are differently associated with nutrient intakes, lifestyle factors and energy misreporting in a sub-sample of the Malmö Diet and Cancer cohort.

Authors:  Isabel Holmbäck; Ulrika Ericson; Bo Gullberg; Elisabet Wirfält
Journal:  Food Nutr Res       Date:  2009-09-09       Impact factor: 3.894

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.