Independent association between socioeconomic indicators and macro- and micro-nutrient intake in Switzerland

PLoS One. 2017 Apr 3;12(4):e0174578. doi: 10.1371/journal.pone.0174578. eCollection 2017.

Abstract

Background: Socioeconomic differences in diet are rarely assessed with more than one indicator. We aimed to assess differences in macro- and micro-nutrient intake in both sexes according to education, income, and occupation.

Methods: We used data from validated food frequency questionnaire measured dietary intake in 5087 participants (2157 women) from yearly adult population-based cross-sectional surveys conducted from 2005 to 2012 in the canton of Geneva, Switzerland. We used two ANOVA models: age-adjusted and multivariable adjusted simultaneously for all three socioeconomic indicators.

Results: Low-education men consumed more calcium but less vitamin D than high-education men; low-income men consumed less total and animal protein (80.9±0.9 vs 84.0±0.6 g/d; 55.6±1.0 vs 59.5±0.7 g/d) and more total carbohydrates and sugars (246±2 vs 235±2 g/d; 108±2 vs 103±1 g/d) than high-income men. Occupation and diet showed no association. Low-education women consumed less vegetable protein (20.7±0.2 vs 21.6±0.2 g/d), fibre (15.7±0.3 vs 16.8±0.2 g/d), and carotene (4222±158 vs 4870±128 μg/d) than high-education women; low-income women consumed more total carbohydrates (206±2 vs 197±1 g/d) and less monounsaturated fat (27.7±0.4 vs 29.3±0.3 g/d) than high-income women. Finally, low-occupation women consumed more total energy (1792±27 vs 1714±15 kcal/d) and total carbohydrates (206±2 vs 200±1 g/d), but less saturated fat (23.0±0.3 vs 24.4±0.2 g/d), calcium (935±17 vs 997±10 mg/d) and vitamin D (2.5±0.1 vs 2.9±0.1 μg/d), than high-occupation women.

Conclusion: In Switzerland, the influence of socioeconomic factors on nutrient intake differs by sex; income and education, but not occupation, drive differences among men; among women, all three indicators seem to play a role. Interventions to reduce inequalities should consider the influence of education, income, and occupation in diet to be most effective.

MeSH terms

  • Calcium, Dietary
  • Cross-Sectional Studies
  • Diet Surveys
  • Diet*
  • Dietary Carbohydrates
  • Dietary Fats
  • Dietary Fiber
  • Educational Status
  • Energy Intake*
  • Feeding Behavior*
  • Female
  • Humans
  • Income
  • Male
  • Middle Aged
  • Nutritional Status*
  • Occupations
  • Socioeconomic Factors*
  • Switzerland
  • Vitamin D

Substances

  • Calcium, Dietary
  • Dietary Carbohydrates
  • Dietary Fats
  • Dietary Fiber
  • Vitamin D

Grants and funding

The “Bus Santé” study is funded by the University Hospitals of Geneva and the General Directorate of Health, Canton of Geneva, Switzerland (no reference number). This work is supported by the Swiss National Science Foundation (Grant ref 406940_145187). The funding sources had no involvement in the study design, the data collection, analysis and interpretation, the writing of the report, or the decision to submit the article for publication.