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Inequalities in education and national income are associated with poorer diet in Europe: pooled analysis across 12 countries

Published online by Cambridge University Press:  30 April 2021

H. L. Rippin
Affiliation:
Nutritional Epidemiology Group (NEG), School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT
J. Hutchinson
Affiliation:
Nutritional Epidemiology Group (NEG), School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT
D. C. Greenwood
Affiliation:
Clinical and Population Science Department, Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT
J. Jewell
Affiliation:
Division of Noncommunicable Diseases and Promoting Health through the Life-Course, World Health Organization Regional Office for Europe, UN City, Marmorvej 51, 21000Copenhagen, Denmark
J.J. Breda
Affiliation:
Division of Noncommunicable Diseases and Promoting Health through the Life-Course, World Health Organization Regional Office for Europe, UN City, Marmorvej 51, 21000Copenhagen, Denmark
A. Martin
Affiliation:
Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, LS2 9JT
D. M. Rippin
Affiliation:
Department of Environment and Geography, University of York, Wentworth Way, Heslington, York, YO10 5NG
K. Schindler
Affiliation:
Department of Nutritional Sciences, University of Vienna, Althanstrasse 14, 1090Vienna, Austria
P. Rust
Affiliation:
Department of Nutritional Sciences, University of Vienna, Althanstrasse 14, 1090Vienna, Austria
S. Fagt
Affiliation:
National Food Institute, Kemitorvet, Bygning 202, DK-2800 Kgs Lyngby, Denmark
J. Matthiessen
Affiliation:
National Food Institute, Kemitorvet, Bygning 202, DK-2800 Kgs Lyngby, Denmark
E. Nurk
Affiliation:
Department of Nutrition Research, National Institute for Health Development, Tallinn, Estonia Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway
K. Nelis
Affiliation:
Department of Nutrition Research, National Institute for Health Development, Tallinn, Estonia
M. Kukk
Affiliation:
Department of Nutrition Research, National Institute for Health Development, Tallinn, Estonia
H. Tapanainen
Affiliation:
Public Health Promotion Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271Helsinki, Finland
L. Valsta
Affiliation:
Public Health Promotion Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271Helsinki, Finland
T. Heuer
Affiliation:
Department of Nutritional Behaviour, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
E. Sarkadi-Nagy
Affiliation:
National Institute of Pharmacy and Nutrition; Budapest 1097 Hungary Albert Flórián út 3/A
M. Bakacs
Affiliation:
National Institute of Pharmacy and Nutrition; Budapest 1097 Hungary Albert Flórián út 3/A
S. Tazhibayev
Affiliation:
Kazakh Academy of Nutrition, 66 Klochkov Street, Almaty0500008, Republic of Kazakhstan
T. Sharmanov
Affiliation:
Kazakh Academy of Nutrition, 66 Klochkov Street, Almaty0500008, Republic of Kazakhstan
I. Spiroski
Affiliation:
Institute of Public Health, 50. Divizija 6, 1000 Skopje, North Macedonia
M. Beukers
Affiliation:
National Institute for Public Health and the Environment, PO Box 1, 3720BABilthoven, the Netherlands
C. van Rossum
Affiliation:
National Institute for Public Health and the Environment, PO Box 1, 3720BABilthoven, the Netherlands
M. Ocke
Affiliation:
National Institute for Public Health and the Environment, PO Box 1, 3720BABilthoven, the Netherlands
A. K. Lindroos
Affiliation:
Livsmedelsverket Swedish National Food Agency, Box 662, SE 751 26Uppsala, Sweden
Eva Warensjö Lemming
Affiliation:
Livsmedelsverket Swedish National Food Agency, Box 662, SE 751 26Uppsala, Sweden
J. E. Cade
Affiliation:
Nutritional Epidemiology Group (NEG), School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2021

Malnutrition linked to noncommunicable diseases (NCDs) presents major health problems across Europe. This includes overweight, obesity, cardiovascular disease (CVD) (1) and micronutrient deficiency (Reference Rippin, Hutchinson and Jewell2). The World Health Organisation encourages countries to conduct national dietary surveys to obtain data to inform public health policies designed to prevent NCDs (3). WHO recommended nutrient intakes (RNIs) of both macro and micronutrients are not widely achieved and few WHO European Member States report intakes by socioeconomic group (Reference Rippin, Hutchinson and Jewell2). This research therefore harmonises national individual-level dietary survey data from across the WHO European Region, exploring geographical variations in key nutrient intakes. It investigates between and within-country socioeconomic inequalities through measures of country-level Gross Domestic Product (GDP) and individual-level education.

Data on 27334 participants aged 19–64y were harmonised and pooled across nationally representative dietary survey datasets from 12 countries across the WHO European Region. Weighted mean nutrient intakes were age-standardised using the Eurostat 2013 European Standard Population (4). Associations between country-level GDP and key nutrients and nutrient densities were investigated using linear regression. The potential mitigating influence of individual-level educational status was explored.

Higher GDP was positively associated with total sugar intake (5.0% energy for each 10% increase in GDP, 95% CI 0.6%, 9.3%). Scandinavian countries had the highest vitamin D intakes and Central and Eastern European countries generally had lower total folate intakes. Participants with higher educational status had better nutritional intakes, particularly in lower GDP countries. In higher educated individuals a 10% higher GDP was associated with lower total fat intakes (-0.2% energy, 95% CI -0.3%, -0.1%) and higher daily total folate intakes (14μg, 95% CI 12μg, 16μg).

Lower income countries and lower education groups had poorer diet, particularly for micronutrients. We demonstrate for the first time that higher educational status appears to mitigate the effects of poorer diets in lower income countries. Most countries had high energy and macronutrient intakes above the WHO RNIs; lower GDP countries may therefore follow the trajectory of higher income countries and face future elevated levels of obesity-related NCDs. This research reveals individual-level socioeconomic inequalities across WHO Europe, as those with less education generally had lower intakes of nutrients encouraged as part of a healthy diet, particularly iron and total folate. This work illustrates the feasibility and value of harmonising national dietary survey data to inform European policy regarding access to healthy diets, particularly in disadvantaged groups. It specifically highlights the need for strong policies supporting nutritional intakes, prioritising lower education groups and lower income countries to address the public health implications of the effect of GDP and education on nutritional intakes. Increasing educational levels will lead to better nourished populations, and the ability to improve GDP. Policies should therefore be put in place to achieve this.

References

World Health Organisation (2017). Geneva: WHO; [24/05/18]. http://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight.Google Scholar
Rippin, HL, Hutchinson, J, Jewell, J, et al. . (2017) Nutrients, 9(12):1288.CrossRefGoogle Scholar
World Health Organisation (2014). European food and nutrition action plan 2015–2020. WHO Regional Office for Europe.Google Scholar
Eurostat (2013). Revision of the European Standard Population: report of Eurostat's taskforce. Luxembourg.Google Scholar