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O17-1 Developmental trajectories of multisite musculoskeletal pain and association with work-related physical and psychosocial working conditions
  1. Subas Neupane1,
  2. Päivi Leino-Arjas2,
  3. Clas-Håkan Nygård1,
  4. Jodi Oakman3,
  5. Pekka Virtanen1
  1. 1School of Health Sciences, University of Tampere, Tampere, Finland
  2. 2Finnish Institute of Occupational Health, Helsinki, Finland
  3. 3La Trobe University, Melbourne, Australia


Objective Multi-site musculoskeletal pain at multiple sites is more common than single-site pain. We investigated the developmental paths of multi-site musculoskeletal pain and the effect of work-related physical and psychosocial working conditions among blue- and white-collar workers.

Methods The study was conducted among food industry workers (N = 873) and collected in two years intervals starting from 2003 until 2009. The information on self-perceived musculoskeletal pain during preceding week, work related physical and psychosocial working conditions and various individual factors was obtained through a structured questionnaire distributed to workers. Latent class growth modelling and multinomial logistic regression were used.

Results A five-group multi-site musculoskeletal pain trajectory model (no pain stable 35.6%, stable multi-site pain 28.8%, no pain to increasing pain sites 8.8%, L-shaped 11.5% and slow increasing multi-site pain 15.3%) was identified. In a multivariate model physical strain (OR 3.34, 95% CI: 2.12–6.27), environmental factors (3.37, 1.94–5.86), repetitive movements (2.13, 1.09–4.16) awkward posture (2.26, 1.13–4.52) and mental strain (3.85, 2.25–6.57) significantly predicted stable multi-site pain trajectory. These factors also predicted slow increasing multi-site pain trajectory in a more or less in a same fashion. The associations were more prominent among blue-collar workers than their white-collar counterparts.

Conclusions A substantial proportion of individual seems to have multi-site pain persistently. Most of the physical working conditions predict the development of multi-site musculoskeletal pain.

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