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Differences in the Prevalence of Fruit and Vegetable Consumption in Spanish Workers.

Elena María Ronda-PérezJulia Campos-MoraAlba de JuanTeresa GeaAlison ReidPablo Caballero-Pérez
Published in: Nutrients (2020)
The present study aims to examine the differences in daily fruit and vegetable consumption in the working population in Spain. A cross-sectional study was conducted, using data from the 2017 National Health Survey (n = 10,700 workers aged between 18 and 65 years). The daily consumption of fruit and vegetables was evaluated using two items included in a food frequency questionnaire. Occupations were classified into the 17 main groups of the National Classification of Occupations of 2011 (CNO-11). The prevalence (P) of daily fruit and vegetable consumption was calculated in relation to sociodemographic characteristics, health behaviors, work-related characteristics and occupations. Logistic regression analysis was performed to examine the association, with simple and adjusted Odds Ratio (aOR). The P of daily consumption of fruit and vegetables in workers was 60% for fruit and 40% for vegetables. After adjusting for sociodemographic characteristics and health behaviors, workers working night or rotating shifts had a lower consumption of fruits (aOR:0.9; p < 0.05), and those working on temporary contracts had a lower consumption of vegetables (aOR:0.8; p < 0.05). Engineers, scientists, health care workers and teachers had the highest fruit consumption (74.5%) and the highest vegetable consumption (55.1%). The lowest consumption of fruits was presented by the military (42.3%) and unskilled workers in the service sector (45.8%), and the lowest consumption of vegetables was presented by skilled construction workers (25.5%). These findings could aid in workplace health promotion and could be used in future studies to evaluate the impact of the activities adopted.
Keyphrases
  • healthcare
  • mental health
  • public health
  • human health
  • risk factors
  • health risk
  • risk assessment
  • machine learning
  • climate change
  • health risk assessment
  • cross sectional
  • heavy metals
  • acute care
  • psychometric properties