Predictors of patterns of change in health-related quality of life in older women over 7 years: evidence from a prospective cohort study

Age Ageing. 2013 May;42(3):312-8. doi: 10.1093/ageing/aft029. Epub 2013 Mar 28.

Abstract

Background: the evaluation of the determinants of change over time in health-related quality of life (HR-QoL) in older people is limited. This study aims to identify patterns of change in HR-QoL over 7 years and their determinants using data from the British Women's Heart and Health Study, a representative sample of older women (n = 4286).

Methods: longitudinal latent class analysis was used to identify subpopulations of women with similar HR-QoL trajectories from 1999-2000 to 2007. HR-QoL was measured using the EQ-5D. Multivariate multinomial logistic regression was used to model the association of identified trajectories with baseline predictors after multiple imputation of missing data.

Results: four distinct EQ-5D trajectories were suggested: high (19% of women), high decline (22%), intermediate (42%) and low decline (16%). Prevalent arthritis (OR = 13.4; 95% CI: 8.8, 20.5), diabetes (OR = 4.6; 95% CI: 1.5, 14.2) and obesity (OR = 3.9; 95% CI: 2.5, 6.0) were the strongest predicting health conditions of adverse changes in HR-QoL and physical activity the strongest predicting lifestyle factor (OR = 2.8; 95% CI: 2.0, 3.9).

Conclusions: findings suggest that older women without obesity or pre-existing health conditions who undertake more physical activity are more likely to experience high HR-QoL, reinforcing the importance of these factors for healthy ageing.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aging*
  • Arthritis / epidemiology
  • Diabetes Mellitus / epidemiology
  • Exercise
  • Female
  • Health Status*
  • Humans
  • Life Style
  • Logistic Models
  • Longitudinal Studies
  • Middle Aged
  • Motor Activity
  • Multivariate Analysis
  • Obesity / epidemiology
  • Odds Ratio
  • Prevalence
  • Prospective Studies
  • Quality of Life*
  • Risk Factors
  • Sex Factors
  • Surveys and Questionnaires
  • Time Factors
  • United Kingdom / epidemiology