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A multilevel study of socio-economic inequalities in food choice behaviour and dietary intake among the Dutch population: the GLOBE study

Published online by Cambridge University Press:  02 January 2007

Katrina Giskes*
Affiliation:
Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands and School of Public Health, Queensland University of Technology, Brisbane, Australia
Gavin Turrell
Affiliation:
School of Public Health, Queensland University of Technology, Victoria Park Rd, Kelvin Grove, Brisbane, Queensland 4059, Australia
Frank J van Lenthe
Affiliation:
Department of Public Health, Erasmus Medical Center, PO Box 1738, 3000 DR Rotterdam, The Netherlands
Johannes Brug
Affiliation:
Department of Public Health, Erasmus Medical Center, PO Box 1738, 3000 DR Rotterdam, The Netherlands
Johan P Mackenbach
Affiliation:
Department of Public Health, Erasmus Medical Center, PO Box 1738, 3000 DR Rotterdam, The Netherlands
*
*Corresponding author: Email k.giskes@erasmusmc.nl
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Abstract

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Objective

To examine the influence of individual- and area-level socio-economic characteristics on food choice behaviour and dietary intake.

Setting

The city of Eindhoven in the south-east Netherlands.

Design

A total of 1339 men and women aged 25–79 years were sampled from 85 areas (mean number of participants per area = 18.4, range 2–49). Information on socio-economic position (SEP) and diet was collected by structured face-to-face interviews (response rate 80.9%). Individual-level SEP was measured by education and household income, and area-level deprivation was measured using a composite index that included residents' education, occupation and employment status. Diet was measured on the basis of (1) a grocery food index that captured compliance with dietary guidelines, (2) breakfast consumption and (3) intakes of fruit, total fat and saturated fat. Multilevel analyses were performed to examine the independent effects of individual- and area-level socio-economic characteristics on the dietary outcome variables.

Results

After adjusting for individual-level SEP, few trends or significant effects of area deprivation were found for the dietary outcomes. Significant associations were found between individual-level SEP and food choice, breakfast consumption and fruit intake, with participants from disadvantaged backgrounds being less likely to report food behaviours or nutrient intakes consistent with dietary recommendations.

Conclusions

The findings suggest that an individual's socio-economic characteristics play a more important role in shaping diet than the socio-economic characteristics of the area in which they live. In this Dutch study, no independent influence of area-level socio-economic characteristics on diet was detected, which contrasts with findings from the USA, the UK and Finland.

Type
Research Article
Copyright
Copyright © The Authors 2006

References

1Dalstra, JA, Kunst, AE, Geurts, JJ, Frenken, FJ, Mackenbach, JP. Trends in socioeconomic health inequalities in the Netherlands, 1981 – 1999. Journal of Epidemiology and Community Health 2002; 56: 927–34.Google Scholar
2Kaplan, G, Keil, J. Socioeconomic factors and cardiovascular disease: a review of the literature. Circulation 1993; 88: 1973–98.CrossRefGoogle ScholarPubMed
3Davey Smith, G, Hart, C, Watt, G, Hole, D, Hawthorne, V. Individual social class, area-based deprivation, cardiovascular disease risk factors, and mortality: the Renfrew and Paisley Study. Journal of Epidemiology and Community Health 1998; 52: 399405.CrossRefGoogle Scholar
4Davey Smith, G, Brunner, E. Socio-economic differentials in health: the role of nutrition. Proceedings of the Nutrition Society 1997; 56: 7590.CrossRefGoogle Scholar
5James, WP, Nelson, M, Ralph, A, Leather, S. Socioeconomic determinants of health. The contribution of nutrition to inequalities in health. British Medical Journal 1997; 314: 1545–9.CrossRefGoogle ScholarPubMed
6Mackenbach, J, Cavelaars, A, Kunst, A, Groenhof, F. Socioeconomic inequalities in cardiovascular disease mortality; an international study. European Heart Journal 2000; 21: 1141–51.Google Scholar
7Diez-Roux, A, Nieto, F, Caulfield, L, Tyroler, H, Watson, R, Szklo, M. Neighbourhood differences in diet: the Atherosclerosis Risk in Communities (ARIC) Study. Journal of Epidemiology and Community Health 1999; 53: 5563.CrossRefGoogle ScholarPubMed
8Galobardes, B, Morabia, A, Bernstein, MS. Diet and socioeconomic position: does the use of different indicators matter? International Journal of Epidemiology 2001; 30: 334–40.Google Scholar
9Giskes, K, Turrell, G, Patterson, C, Newman, B. Socio-economic differences in fruit and vegetable consumption among Australian adolescents and adults. Public Health Nutrition 2002; 5: 663–9.CrossRefGoogle ScholarPubMed
10Roos, E, Prattala, R, Lahelma, E, Kleemola, P, Pietinen, P. Modern and healthy?: socioeconomic differences in the quality of diet. European Journal of Clinical Nutrition 1996; 50: 753–60.Google Scholar
11Turrell, G, Blakely, T, Patterson, C, Oldenburg, B. A multilevel analysis of socioeconomic (small area) differences in household food purchasing behaviour. Journal of Epidemiology and Community Health 2004; 58: 208–15.CrossRefGoogle ScholarPubMed
12Forsyth, A, Macintyre, S, Anderson, A. Diets for disease? Intraurban variation in reported food consumption in Glasgow. Appetite 1994; 22: 259–74.Google Scholar
13Shohaimi, S, Welch, A, Bingham, S, Luben, R, Day, N, Wareham, N, et al. 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). Journal of Epidemiology and Community Health 2004; 58: 686–91.CrossRefGoogle ScholarPubMed
14Wardle, J, Jarvis, M, Steggles, N, Sutton, S, Williamson, S, Farimond, H, et al. Socioeconomic disparities in cancer-risk behaviours in adolescence: baseline results from the Health and Behaviour in Teenagers Study (HABITS). Preventive Medicine 2003; 36: 721–30.CrossRefGoogle ScholarPubMed
15Karvonen, S, Rimpela, A. Socio-regional context as a determinant of adolescents' health behaviour in Finland. Social Science & Medicine 1996; 43: 1467–74.CrossRefGoogle ScholarPubMed
16Karvonen, S, Rimpela, A. Urban small area variation in adolescents' health behaviour. Social Science & Medicine 1997; 45: 1089–98.Google Scholar
17Ecob, R, Macintyre, S. Small area variations in health related behaviours; do these depend on the behaviour itself, its measurement, or on personal characteristics? Health & Place 2000; 6: 261–74.Google Scholar
18Mackenbach, J, van de Mheen, H, Stronks, K. A prospective cohort study investigating the explanation of socio-economic inequalities in health in the Netherlands. Social Science & Medicine 1994; 38: 299308.CrossRefGoogle ScholarPubMed
19Camps, M, Abden, D. De ENVET-lijst: Ontwikkeling en validering van een korte voedelsfrequentievragenlijst naar energie en vet- tweede fase. Geldrop-Valkenswaard: GGD regio Geldrop-Valkenswaard, 1994.Google Scholar
20van Lenthe, FJ, Mackenbach, JP. Neighbourhood deprivation and overweight: the GLOBE study. International Journal Obesity and Related Metabolic Disorders 2002; 26: 234–40.Google Scholar
21Hulshof, K, Lowik, M, Kok, F, Wedel, M, Brants, H, Hermus, R, et al. Diet and other life-style factors in high and low socioeconomic groups (Dutch Nutrition Surveillance System). European Journal of Clinical Nutrition 1991; 45: 441–50.Google ScholarPubMed
22Nederlands Stichting Voedingsstoffenbestand. NEVO-tabel 1986/1987. Ziest: Nederlands Voedingsstoffenbestand, 1987.Google Scholar
23Rasbash, J, Browne, W, Healy, M, Cameron, B, Charlton, C. MLwiN version 1.10.0007. London: Multilevel Models Project, 2001.Google Scholar
24Diehr, P, Koepsell, T, Cheadle, A, Psaty, B, Wagner, E, Curry, S. Do communities differ in health behaviour? Journal of Clinical Epidemiology 1993; 46: 1141–9.Google Scholar
25Alwitt, L, Donley, T. Retail stores in poor urban neighbourhoods. Journal of Consumer Affairs 1997; 31: 139–64.Google Scholar
26Morland, K, Wing, S, Diez-Roux, A. The contextual effect of the local food environment on resident's diets: the Atherosclerosis Risk in Communities Study. American Journal of Public Health 2002; 92: 1761–7.Google Scholar
27Reidpath, D, Burns, C, Garrad, J, Mahoney, M, Townsend, M. An ecological study of the relationship between social and environmental determinants of obesity. Health & Place 2002; 8: 141–5.Google Scholar
28Chung, C, Myers, S. Do the poor pay more for food? An analysis of grocery store availability and food price disparities. Journal of Consumer Affairs 1999; 33: 276–96.Google Scholar
29Dibsdall, L, Lambert, N, Bobbin, R, Frewer, L. Low-income consumer's attitudes and behaviours towards access, availability and motivation to eat fruit and vegetables. Public Health Nutrition 2003; 6: 159–68.CrossRefGoogle ScholarPubMed
30Mooney, C. Cost and availability of healthy food choices in a London health district. Journal of Human Nutrition and Dietetics 1990; 3: 111–20.Google Scholar
31Brinkhoff, T. City Population [online], 2004. Available at http://www.citypopulation.de. Accessed November 2004.Google Scholar
32Wrigley, N. ‘Food deserts’ in British cities: policy context and research priorities. Urban Studies 2002; 39: 2029–40.CrossRefGoogle Scholar
33Ostendorf, W, Musterd, S, de Vos, S. Social mix and the neighbourhood effect. Policy ambitions and empirical evidence. Housing Studies 2001; 16: 371–80.Google Scholar
34Bolton-Smith, C, Smith, W, Woodward, M, Tunstall-Pedoe, H. Nutrient intakes of different social-class groups: results from the Scottish Heart Health Study. British Journal of Nutrition 1991; 65: 321–35.Google Scholar
35Pomerleau, J, Pederson, L, Ostbye, T, Speechley, M, Speechley, K. Health behaviours and socio-economic status in Ontario, Canada. European Journal of Epidemiology 1997; 13: 613–22.Google Scholar
36Murphy, S, Rose, D, Hudes, M, Viteri, F. Demographic and economic factors associated with dietary quality for adults in the 1987 – 1988 Nationwide Food Consumption Survey. Journal of the American Dietetic Association 1992; 92: 1352–7.Google Scholar
37Stallone, D, Brunner, E, Bingham, S, Marmot, M. Dietary assessment in Whitehall II: the influence of reporting bias on apparent socioeconomic variation in nutrient intakes. European Journal of Clinical Nutrition 1997; 51: 815–25.CrossRefGoogle ScholarPubMed
38Cho, S, Dietrich, M, Brown, C, Clark, C, Block, G. The effect of breakfast type on total daily energy intake and body mass index: results from the Third National Health and Nutrition Examination Survey (NHANES III). Journal of the American College of Nutrition 2003; 22: 296302.CrossRefGoogle ScholarPubMed
39Ma, Y, Bertone, E, Stanek, E, Reed, G, Hebert, J, Cohen, N, et al. Association between eating patterns and obesity in a free-living US adult population. American Journal of Epidemiology 2003; 158: 8592.CrossRefGoogle Scholar
40van Lenthe, FJ, Brug, J, Mackenbach, JP. Neighbourhood inequalities in physical activity: the role of neighbourhood attractiveness, proximity to local facilities and safety in the Netherlands. Social Science & Medicine 2005; 60: 763–75.Google Scholar
41Diez-Roux, A. Estimating neighbourhood health effects: the challenges of causal inference in a complex world. Social Science & Medicine 2004; 58: 1953–60.CrossRefGoogle Scholar
42Winkleby, M, Jatulis, D, Frank, E, Fortmann, S. Socioeconomic status and health: how education, income and occupation contribute to risk factors for cardiovascular disease. American Journal of Public Health 1992; 82: 816–20.CrossRefGoogle ScholarPubMed
43Johansson, G, Wikman, A, Ahren, A, Hallmans, G, Johansson, I. Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living. Public Health Nutrition 2001; 4: 919–27.CrossRefGoogle ScholarPubMed
44Kaplan, G, Turrell, G, Lynch, J, Everson, S, Helkala, E, Salonen, J. Childhood socioeconomic position and cognitive function in adulthood. International Journal of Epidemiology 2001; 30: 256–63.Google Scholar
45Turrell, G, Najman, J. Collecting food-related data from low socioeconomic groups: how adequate are our current research designs? Australian and New Zealand Journal of Public Health 1995; 19: 410–6.Google Scholar