Prevalence of overweight and obesity in spanish working population along the Covid-19 pandemic. Adiposity indicators and related variables

  1. Mª Teófila Vicente-Herrero 1
  2. Mª Victoria Ramírez-Iñiguez de la Torre 12
  3. Luisa Capdevila García 13
  4. Angélica Partida-Hanon 4
  5. Luis Reinoso-Barbero 5
  6. Ángel Arturo López González 6
  1. 1 Obesity and work group-Asociación Española de especialistas en Medicina del Trabajo-AEEMT
  2. 2 Occupational Health and safety Services of Correos, Albacete (Spain).
  3. 3 Occupational Health and safety Services MAPFRE, Valencia (Spain).
  4. 4 Health and Occupational Risk Prevention Service, Grupo Banco Santander, Madrid, (Spain).
  5. 5 Universidad Internacional de La Rioja
    info

    Universidad Internacional de La Rioja

    Logroño, España

    ROR https://ror.org/029gnnp81

  6. 6 Occupational Health and safety Services Servei de Salut de les Illes Balears. University School ADEMA, Palma de Mallorca (Spain).
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Journal:
Academic Journal of Health Sciences: Medicina Balear

ISSN: 2255-0560

Year of publication: 2022

Volume: 37

Issue: 2

Pages: 132-138

Type: Article

DOI: 10.3306/AJHS.2022.37.02.132 DIALNET GOOGLE SCHOLAR lock_openIbdigital editor

Abstract

Introduction: Obesity is a multifactorial and complex disease, being the Body Mass Index (BMI) the standardized method used to define and evaluate overweight or obesity in epidemiological studies, however and compared to adiposity indicators, this method presents low sensitivity and shows a high inter-individual variability. Methods: A descriptive cross-sectional study was performed in 815 workers, aged between 18 and 66 years with data collected along regular health surveillance examinations of participating companies from March 2020 to June 2021. The following variables were collected: socio-demographic: age, sex, cultural level and social class; occupational variables: type of work and role; anthropometric variables: weight, height and BMI; and adiposity indicators: visceral fat, body fat, waist circumference and waist/height, and waist/hip indices, establishing interrelationships between them. Results: Significant differences were found between obesity prevalence and gender, being higher in men and increasing with age. As well, the prevalence was higher in workers with elementary education as the highest degree obtained. In women, it was observed an inverse correlation between social class level and obesity prevalence. In men with non-manual jobs (white collar) and women with manual jobs (blue collar), the prevalence established was higher. It is worth highlighting the association between BMI, body fat and waist/height index. Conclusions: The average BMI results of the workers were found to be overweight, showing higher values in men (27.49) than in women (26.33) and a relation to age and occupations. The BMI shows concordance with all the indicators of adiposity, with body and visceral fat and the waist/height index standing out.

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Data source: Dialnet