Literature DB >> 11641744

Social determinants of dietary habits in Denmark.

M V Groth1, S Fagt, L Brøndsted.   

Abstract

OBJECTIVE: To investigate whether there is an association between socioeconomic status and a healthy diet, taking the possible influence of other social variables such as age, gender, income and household composition into consideration.
DESIGN: Cross-sectional study.
SETTING: Nationwide study in Denmark, 1995.
SUBJECTS: Random sample from the civil registration system. A total of 852 men and 870 women aged 18-80 y participated, a response rate of 58%.
INTERVENTIONS: A 7 day estimated dietary record was used to obtain information about the diet. Information about social background was gained through face-to-face interview.
RESULTS: The intake of fruit and vegetables and the percentage energy (E%) from fat in the diet were significantly associated with the educational level of both men and women. For men with only basic schooling, the mean intake of vegetables and fat was 84 g/10 MJ and 41 E% respectively. Men with long higher education had a mean intake of 119 g/10 MJ of vegetables and 37 E% of fat. For women, the corresponding figures for the intake of vegetables and fat were 131 g/10 MJ and 38 E% and 175 g/10 MJ and 37 E%, respectively. For women, age, income and household composition were also significantly associated with the intake of fruit and vegetables.
CONCLUSIONS: Education seems to be the most important social variable to explain social differences in dietary habits. Additional variables are needed to explain dietary habits of women. Differences are seen for both foods and nutrients. SPONSORSHIP: The data analysis was financially supported by the Health Insurance Fund.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11641744     DOI: 10.1038/sj.ejcn.1601251

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


  46 in total

1.  Sugar-sweetened beverages consumption in relation to changes in body fatness over 6 and 12 years among 9-year-old children: the European Youth Heart Study.

Authors:  M Zheng; A Rangan; N J Olsen; L Bo Andersen; N Wedderkopp; P Kristensen; A Grøntved; M Ried-Larsen; S M Lempert; M Allman-Farinelli; B L Heitmann
Journal:  Eur J Clin Nutr       Date:  2013-11-27       Impact factor: 4.016

2.  Geographic disparities in Healthy Eating Index scores (HEI-2005 and 2010) by residential property values: Findings from Seattle Obesity Study (SOS).

Authors:  Adam Drewnowski; Anju Aggarwal; Andrea Cook; Orion Stewart; Anne Vernez Moudon
Journal:  Prev Med       Date:  2015-12-03       Impact factor: 4.018

3.  Inter-population variation of histomorphometric variables used in the estimation of age-at-death.

Authors:  D Botha; N Lynnerup; M Steyn
Journal:  Int J Legal Med       Date:  2019-04-09       Impact factor: 2.686

4.  When the entire population is the sample: strengths and limitations in register-based epidemiology.

Authors:  Lau Caspar Thygesen; Annette Kjær Ersbøll
Journal:  Eur J Epidemiol       Date:  2014-01-10       Impact factor: 8.082

5.  Self-reported socio-economic status, social, physical and leisure activities and risk for malnutrition in late life: a cross-sectional population-based study.

Authors:  A Timpini; E Facchi; S Cossi; M K Ghisla; G Romanelli; A Marengoni
Journal:  J Nutr Health Aging       Date:  2011-03       Impact factor: 4.075

6.  Predictors of dietary quality in low-income pregnant women: a path analysis.

Authors:  Eileen R Fowles; Miranda Bryant; SungHun Kim; Lorraine O Walker; Roberta Jeanne Ruiz; Gayle M Timmerman; Adama Brown
Journal:  Nurs Res       Date:  2011 Sep-Oct       Impact factor: 2.381

7.  Residential area deprivation predicts fruit and vegetable consumption independently of individual educational level and occupational social class: a cross sectional population study in the Norfolk cohort of the European Prospective Investigation into Cancer (EPIC-Norfolk).

Authors:  Shamarina Shohaimi; Ailsa Welch; Sheila Bingham; Robert Luben; Nicholas Day; Nicholas Wareham; Kay-Tee Khaw
Journal:  J Epidemiol Community Health       Date:  2004-08       Impact factor: 3.710

8.  Major influences on nutrient intake in pregnant New Zealand women.

Authors:  Patricia E Watson; Barry W McDonald
Journal:  Matern Child Health J       Date:  2008-09-03

9.  Inequalities in energy-balance related behaviours and family environmental determinants in European children: changes and sustainability within the EPHE evaluation study.

Authors:  Krystallia Mantziki; Carry M Renders; Achilleas Vassilopoulos; Gabriella Radulian; Jean-Michel Borys; Hugues du Plessis; Maria João Gregório; Pedro Graça; Stefaan de Henauw; Svetoslav Handjiev; Tommy L S Visscher; Jacob C Seidell
Journal:  Int J Equity Health       Date:  2016-09-29

10.  Fruit and vegetable consumption close to recommendations. A partly web-based nationwide dietary survey in Swedish adults.

Authors:  Anna-Mari Simunaniemi; Agneta Andersson; Margaretha Nydahl
Journal:  Food Nutr Res       Date:  2009-12-22       Impact factor: 3.894

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.