Musculoskeletal pain and menopausal status

Clin J Pain. 2006 May;22(4):325-31. doi: 10.1097/01.ajp.0000208249.07949.d5.

Abstract

Objectives: The authors examined whether self-reported menopausal status is associated with musculoskeletal pain in a multiethnic population of community-dwelling middle-aged women after considering sociodemographics, medical factors, smoking, depression, and body mass index using a cross-sectional study design.

Methods: Participants were 2218 women from the Study of Women's Health Across the Nation assessed at the time of their third annual follow-up exam. Two dependent variables were derived from a factor analysis of survey questions about pain. These 2 outcomes were Aches and Pains, derived from 5 of 6 pain symptom questions and Consultation for Low Back Pain, derived from 1 question.

Results: Prevalence of aches and pains was high, with 1 in 6 women reporting daily symptoms. Compared with premenopausal women, those who were early perimenopausal (P=0.002), late perimenopausal (P=0.002), or postmenopausal (P<0.0001) reported significantly more aches and pains in age-adjusted analysis. With complete risk factor adjustment, postmenopausal women still reported significantly greater pain symptoms (P=0.03) than did premenopausal women. Menopausal status was marginally related to consulting a healthcare provider for back pain.

Discussion: This study demonstrates an association between pain and self-reported menopausal status, with postmenopausal women experiencing greater pain symptoms than premenopausal women.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Cross-Cultural Comparison
  • Cross-Sectional Studies
  • Ethnicity / statistics & numerical data
  • Factor Analysis, Statistical
  • Female
  • Follow-Up Studies
  • Humans
  • Logistic Models
  • Menopause / physiology*
  • Menopause / psychology*
  • Middle Aged
  • Muscle, Skeletal / physiopathology*
  • Pain / epidemiology
  • Pain / physiopathology*
  • Pain Measurement / methods
  • Pain Measurement / statistics & numerical data
  • Residence Characteristics
  • Retrospective Studies
  • Risk Factors
  • United States