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Evaluation of the nutritional status of workers of transformation industries adherent to the Brazilian Workers’ Food Program. A comparative study

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  • Ingrid W Leal Bezerra
  • António Gouveia Oliveira
  • Liana G B Pinheiro
  • Célia M M Morais
  • Luciano M B Sampaio

Abstract

The objective of this study was to assess whether the Brazilian Workers’ Food Program (WFP) is associated with changes in the nutritional status of workers in the transformation industry. We conducted a cross-sectional, observational, comparative study, based on prospectively collected data from a combined stratified and two-stage probability sample of workers from 26 small and medium size companies, 13 adherent and 13 non-adherent to the WFP, in the food, mining and textile sectors. Study variables were body mass index (BMI), waist circumference (WC), and dietary intake at lunch obtained by 24-hour dietary recall. Data were analyzed with nested mixed effects linear regression with adjustment by subject variables. Sampling weights were applied in computing population parameters. The final sample consisted of 1069 workers, 541 from WFP-adherent and 528 from WFP non-adherent companies. The groups were different only in education level, income and in-house training. Workers in WFP-adherent companies have greater BMI (27.0 kg/m2 vs. 26.0 kg/m2, p = 0.002) and WC (87.9 cm vs. 86.5, p = 0.04), higher prevalence of excessive weight (62.6% vs. 55.5%, p

Suggested Citation

  • Ingrid W Leal Bezerra & António Gouveia Oliveira & Liana G B Pinheiro & Célia M M Morais & Luciano M B Sampaio, 2017. "Evaluation of the nutritional status of workers of transformation industries adherent to the Brazilian Workers’ Food Program. A comparative study," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-11, February.
    • Handle: RePEc:plo:pone00:0171821
    DOI: 10.1371/journal.pone.0171821
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    References listed on IDEAS

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    1. Fildes, A. & Charlton, J. & Rudisill, C. & Littlejohns, P. & Prevost, A.T. & Gulliford, M.C., 2015. "Probability of an obese person attaining normal body weight: Cohort study using electronic health records," American Journal of Public Health, American Public Health Association, vol. 105(9), pages 54-59.
    2. Rick L. Williams, 2000. "A Note on Robust Variance Estimation for Cluster-Correlated Data," Biometrics, The International Biometric Society, vol. 56(2), pages 645-646, June.
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    1. Karina G Torres & Ingrid W L Bezerra & Gabriela S Pereira & Raiane M Costa & Anissa M Souza & Antonio G Oliveira, 2020. "Long-term effect of the Brazilian Workers’ Food Program on the nutritional status of manufacturing workers: A population-based prospective cohort study," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-12, April.

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