Specific body mass index trajectories were related to musculoskeletal pain and mortality: 19-year follow-up cohort

J Clin Epidemiol. 2022 Jan:141:54-63. doi: 10.1016/j.jclinepi.2021.09.020. Epub 2021 Sep 16.

Abstract

Objective: We aimed to study 19-year body mass index (BMI) patterns and their (1) bidirectional relationship with musculoskeletal pain and (2) mortality risk.

Study design and setting: We used data from the Chingford study and group-based trajectory modelling to define 19-year BMI patterns. We investigated whether baseline back, hand, hip, and knee pain (as single- and multi-site) predicted 19-year BMI trajectory, and whether 19-year BMI patterns predicted pain in year 20. We explored BMI trajectories and mortality risk over 25 years (life expectancy).

Results: We included 938 women (mean age: year-1=54, year-20=72) and found seven distinct 19-year BMI trajectories: two normal-weighted (reference), slightly overweight, lower and upper overweight-to-obese, lower and upper obese. BMI patterns capturing the increase overweight-to-obese (BMI 27-34 overtime) were bidirectionally related to knee and multi-site pain. The lower obese pattern (BMI 33-38) was unidirectionally associated with lower limb pain. Women with BMI above 40 had an increased all-cause and cardiovascular mortality risk.

Conclusion: For most postmenopausal women, the overweight WHO category was a transition. Two patterns capturing increase overweight-to-obese were mutually related to musculoskeletal pain, i.e., knee and multi-site pain contributed to becoming obese, and trajectories of becoming obese increased the odds of experiencing pain later.

Keywords: Back pain; Body mass index; Group-based trajectory modelling; Knee pain; Mortality; Musculoskeletal pain.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Mass Index
  • Female
  • Follow-Up Studies
  • Humans
  • Musculoskeletal Pain* / epidemiology
  • Obesity / complications
  • Obesity / epidemiology
  • Overweight* / complications
  • Overweight* / epidemiology
  • Risk Factors