WORKLOAD, NECK AND UPPER LIMB PAIN IN SALVADOR’S POPULATION, BAHIA, BRAZIL

Autores

  • Katia Nunes Sá Escola Bahiana de Medicina e Saúde Pública
  • Abrahão Fontes Baptista Universidade Federal da Bahia
  • Israel Souza Institute, Universidade Federal Rural do Rio de Janeiro
  • Marcos Almeida Matos Escola Bahiana de Medicina e Saúde Pública
  • Ines Lessa Universidade Federal da Bahia

DOI:

https://doi.org/10.17267/2317-3386bjmhh.v1i1.103

Resumo

Objectives: To describe the populational profile of adults affected by neck and upper limb pain (NULP) and to relate the characteristics of this type of pain with the predominantly physical, psychic and mixed workloads. Methods: A cross-sectional study was conducted in a sample of 2,297 individuals of > 20 years old, in Salvador-Brazil. A standardized questionnaire was applied to collect data about socio-demographic characteristics.  Workers were grouped according to predominantly physical, psychic and mixed workloads, and associations were verified against the characteristics of those affected in comparison to  individuals without reports of pain in the neck and upper limbs.  The prevalence of pain was estimated by the OR adjusted (95% CI). Univariate analyses and logistic regression were performed. Results: NULP was found in 222 individuals (9.47%), and predominated in women and widowers exposed to physical workloads; moderate alcohol consumption was the protector in this occupational condition; for psychic workloads, being a woman and belonging to high social class appeared to be associated with the presence of pain in the region; for mixed workloads, being single appeared as a factor with less chance of association with NULP. Conclusion: NULP presents high populational prevalence, and workloads can influence such conditions.  Being a woman or widow exposed to physical loads increase the risk of having NULP; When the worloads are psychic, the same occurs to women and people at higher social levels.  Moderate use of alcohol was associated with less chance of NULP for physical load and being single, for mixed load.

Biografia do Autor

  • Katia Nunes Sá, Escola Bahiana de Medicina e Saúde Pública
    PhD, Postgraduation Department, Escola Bahiana de Medicina e Saúde Pública, Salvador, BA, Brazil.
  • Abrahão Fontes Baptista, Universidade Federal da Bahia
    PhD,Biomorphology Department, Universidade Federal da Bahia, Salvador, BA, Brazil. 
  • Israel Souza, Institute, Universidade Federal Rural do Rio de Janeiro
    MSc,Mathematics Department, Exact Sciences Institute, Universidade Federal Rural do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
  • Marcos Almeida Matos, Escola Bahiana de Medicina e Saúde Pública
    PhD,Postgraduation Department, Escola Bahiana de Medicina e Saúde Pública, Salvador, BA, Brazil.
  • Ines Lessa, Universidade Federal da Bahia
    PhD, Public Health Institute, Universidade Federal da Bahia, Salvador, BA, Brazil.

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Publicado

2013-02-25

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