Mortality among persons experiencing musculoskeletal pain: a prospective study among Danish men and women

Teresa Holmberg1, Michael Davidsen2, Lau Caspar Thygesen2

  • 1National Institute of Public Health, University of Southern Denmark, Studiestræde 6, DK-1455, Copenhagen, Denmark. tho@niph.dk.

Abstract

Insights

Musculoskeletal pain is linked to increased mortality risk, especially severe or widespread pain in men and women respectively. This study highlights pain

Area of Science:

  • Epidemiology
  • Public Health
  • Pain Medicine

Background:

  • Musculoskeletal (MSK) pain is a prevalent global health issue impacting quality of life.
  • The association between MSK pain and mortality remains incompletely understood.
  • This study investigates the link between self-reported MSK pain and all-cause/cause-specific mortality.

Purpose of the Study:

  • To examine the relationship between recent MSK pain (spread and intensity) and mortality risk.
  • To determine if MSK pain predicts all-cause and cause-specific mortality.
  • To assess the impact of MSK pain on mortality in a large, representative cohort.

Main Methods:

  • Prospective cohort study of 4806 individuals aged 16+ from a Danish MSK survey (1990-1991).
  • Data on MSK pain (spread, intensity) collected via survey, linked to the Danish Register of Causes of Death.
  • Follow-up averaged 19.1 years; Cox regression analyses adjusted for confounders.

Main Results:

  • 41.0% reported MSK pain within 14 days; 1372 deaths occurred during follow-up.
  • Increased all-cause mortality observed with higher pain spread and intensity for both sexes.
  • Specific risks noted: strong pain (men), widespread pain (women), cardiovascular, cancer, and respiratory mortality linked to pain characteristics.

Conclusions:

  • Individuals with MSK pain face a higher mortality risk, independent of measured confounders.
  • MSK pain characteristics are associated with increased cardiovascular, cancer, and respiratory mortality.
  • While informative, MSK pain alone has low discriminatory accuracy for predicting mortality risk.