Josje D Schoufour1, Ester A L de Jonge2, Jessica C Kiefte-de Jong3, Frank J van Lenthe4, Albert Hofman5, Samuel P T Nunn6, Oscar H Franco7. 1. Department of Epidemiology, Erasmus MC, University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. Electronic address: j.schoufour@erasmusmc.nl. 2. Department of Epidemiology, Erasmus MC, University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands; Department of Internal Medicine, Erasmus MC, University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. Electronic address: e.a.l.dejonge@erasmusmc.nl. 3. Department of Epidemiology, Erasmus MC, University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands; Department of Global Public Health, Leiden University College The Hague, P.O. Box 13228, 2501 EE The Hague, The Netherlands. Electronic address: j.c.kiefte-dejong@erasmusmc.nl. 4. Department of Public Health, Erasmus MC, University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. Electronic address: f.vanlenthe@erasmusmc.nl. 5. Department of Epidemiology, Erasmus MC, University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. Electronic address: a.hofman@erasmusmc.nl. 6. The Medical School, The University of Sheffield, Beech Hill Road, Sheffield, S210 2RX, United Kingdom. Electronic address: samuel.nunn@btinternet.com. 7. Department of Epidemiology, Erasmus MC, University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. Electronic address: o.franco@erasmusmc.nl.
Abstract
PURPOSE: To examine the strength and independence of associations between three major socio-economic indicators (income, education and occupation) and diet quality (DQ) at baseline and after 20-year follow-up. METHODS: Cross-sectional and longitudinal analyses using data collected in the Rotterdam Study, a prospective population-based cohort. Participants were categorised according to socio-economic indicators (education, occupation and household income) measured at baseline (1989-1993). Participants aged 55 years or older were included (n=5434). DQ was assessed at baseline (1989-1993) and after 20 years (2009-2011) and quantified using the Dutch Healthy Diet Index, reflecting adherence to the Dutch guidelines for a healthy diet; scores can range from 0 (no adherence) to 80 (optimal adherence). Linear regression models were adjusted for sex, age, smoking status, BMI, physical activity level, total energy intake and mutually adjusted for the other socio-economic indicators. RESULTS: At baseline, scores on the Dutch Healthy Diet Index were 2.29 points higher for participants with the highest level of education than for those with the lowest level (95%CI=1.23-3.36); in addition, they were more likely to have a higher DQ at follow-up (β=3.10, 95%CI=0.71-5.50), after adjustment for baseline DQ. In contrast, higher income was associated with lower DQ at follow-up (β=-1.92, 95%CI=-3.67, -0.17), whereas occupational status was not associated with DQ at baseline or at follow-up. CONCLUSION: In our cohort of Dutch participants, a high level of education was the most pronounced socio-economic indicator of high DQ at baseline and at follow-up. Our results highlight that different socio-economic indicators influence DQ in different ways.
PURPOSE: To examine the strength and independence of associations between three major socio-economic indicators (income, education and occupation) and diet quality (DQ) at baseline and after 20-year follow-up. METHODS: Cross-sectional and longitudinal analyses using data collected in the Rotterdam Study, a prospective population-based cohort. Participants were categorised according to socio-economic indicators (education, occupation and household income) measured at baseline (1989-1993). Participants aged 55 years or older were included (n=5434). DQ was assessed at baseline (1989-1993) and after 20 years (2009-2011) and quantified using the Dutch Healthy Diet Index, reflecting adherence to the Dutch guidelines for a healthy diet; scores can range from 0 (no adherence) to 80 (optimal adherence). Linear regression models were adjusted for sex, age, smoking status, BMI, physical activity level, total energy intake and mutually adjusted for the other socio-economic indicators. RESULTS: At baseline, scores on the Dutch Healthy Diet Index were 2.29 points higher for participants with the highest level of education than for those with the lowest level (95%CI=1.23-3.36); in addition, they were more likely to have a higher DQ at follow-up (β=3.10, 95%CI=0.71-5.50), after adjustment for baseline DQ. In contrast, higher income was associated with lower DQ at follow-up (β=-1.92, 95%CI=-3.67, -0.17), whereas occupational status was not associated with DQ at baseline or at follow-up. CONCLUSION: In our cohort of Dutch participants, a high level of education was the most pronounced socio-economic indicator of high DQ at baseline and at follow-up. Our results highlight that different socio-economic indicators influence DQ in different ways.
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