Literature DB >> 12080411

Dietary patterns of Australian adults and their association with socioeconomic status: results from the 1995 National Nutrition Survey.

G Mishra1, K Ball, J Arbuckle, D Crawford.   

Abstract

OBJECTIVE: To describe dietary patterns among men and women in the Australian population, and to explore how these varied according to socioeconomic status (SES).
DESIGN: A cross-sectional self-report population survey, the 1995 Australian National Nutrition Survey (NNS), was used.
SETTING: Private dwelling sample, covering urban and rural areas across Australia.
SUBJECTS: Data provided by 6680 adults aged 18-64 who participated in the NNS were used in the analyses.
METHODS: Factor analyses were used to analyse data from a Food Frequency Questionnaire (FFQ) completed by participants. Associations between SES and dietary pattens were assessed using ANOVA.
RESULTS: Separate factor analyses of the FFQ data for men and women revealed 15 factors, accounting for approximately 50% of the variance in both men's and women's dietary patterns. Several gender and SES differences in food patterns were observed. Lower SES males more frequently consumed 'tropical fruits', 'protein foods', and 'offal and canned fish', while high SES males more often ate 'breakfast cereals' and 'wholemeal bread'. Lower SES females more often ate 'traditional vegetables', 'meat dishes' and 'pasta, rice and other mixed foods', while high SES females more frequently ate 'ethnic vegetables' and 'breakfast cereal/muesli'.
CONCLUSIONS: These findings contribute to a better understanding of the dietary patterns that underscore gender-specific SES differences in nutrient intakes. Analyses of the type employed in this study will facilitate the development of interventions aimed at modifying overall eating patterns, rather than specific components of the diet.

Entities:  

Mesh:

Year:  2002        PMID: 12080411     DOI: 10.1038/sj.ejcn.1601391

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  34 in total

1.  Does food group consumption vary by differences in socioeconomic, demographic, and lifestyle factors in young adults? The Bogalusa Heart Study.

Authors:  Priya Deshmukh-Taskar; Theresa A Nicklas; Su-Jau Yang; Gerald S Berenson
Journal:  J Am Diet Assoc       Date:  2007-02

2.  Associations between dietary patterns, socio-demographic factors and anthropometric measurements in adult New Zealanders: an analysis of data from the 2008/09 New Zealand Adult Nutrition Survey.

Authors:  K L Beck; B Jones; I Ullah; S A McNaughton; S J Haslett; W Stonehouse
Journal:  Eur J Nutr       Date:  2017-04-04       Impact factor: 5.614

3.  Omega-3 fatty acid intake and decreased risk of skin cancer in organ transplant recipients.

Authors:  Kyoko Miura; Mandy Way; Zainab Jiyad; Louise Marquart; Elsemieke I Plasmeijer; Scott Campbell; Nicole Isbel; Jonathan Fawcett; Lisa E Ferguson; Marcia Davis; David C Whiteman; H Peter Soyer; Peter O'Rourke; Adèle C Green
Journal:  Eur J Nutr       Date:  2020-09-09       Impact factor: 5.614

4.  Does food store access modify associations between intrapersonal factors and fruit and vegetable consumption?

Authors:  L E Thornton; K E Lamb; M Tseng; D A Crawford; K Ball
Journal:  Eur J Clin Nutr       Date:  2015-01-21       Impact factor: 4.016

5.  The influence of socioeconomic factors and family context on energy-dense food consumption among 2-year-old children.

Authors:  S Vilela; A Oliveira; E Pinto; P Moreira; H Barros; C Lopes
Journal:  Eur J Clin Nutr       Date:  2014-07-23       Impact factor: 4.016

6.  Effect of zinc supplementation on insulin resistance and metabolic risk factors in obese Korean women.

Authors:  Jihye Kim; Sunju Lee
Journal:  Nutr Res Pract       Date:  2012-06-30       Impact factor: 1.926

7.  Mediators of longitudinal associations between television viewing and eating behaviours in adolescents.

Authors:  Natalie Pearson; Kylie Ball; David Crawford
Journal:  Int J Behav Nutr Phys Act       Date:  2011-03-30       Impact factor: 6.457

8.  Dietary patterns in pregnancy and associations with socio-demographic and lifestyle factors.

Authors:  K Northstone; P Emmett; I Rogers
Journal:  Eur J Clin Nutr       Date:  2007-03-21       Impact factor: 4.016

9.  Understanding determinants of nutrition, physical activity and quality of life among older adults: the Wellbeing, Eating and Exercise for a Long Life (WELL) study.

Authors:  Sarah A McNaughton; David Crawford; Kylie Ball; Jo Salmon
Journal:  Health Qual Life Outcomes       Date:  2012-09-12       Impact factor: 3.186

10.  The role of lifestyle behaviors on 20-year cognitive decline.

Authors:  D Cadar; H Pikhart; G Mishra; A Stephen; D Kuh; M Richards
Journal:  J Aging Res       Date:  2012-09-04
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.