Association between chronic conditions and health-related quality of life: differences by level of urbanization in Peru

Qual Life Res. 2017 Dec;26(12):3439-3447. doi: 10.1007/s11136-017-1649-7. Epub 2017 Jul 15.

Abstract

Purpose: To evaluate the role of urbanization as an effect modifier for the association between specific chronic conditions and number of conditions with health-related quality of life (QOL).

Methods: We analyzed cross-sectional data from the CRONICAS Cohort Study conducted in Lima (highly urbanized), Tumbes (semi-urban), as well as rural and urban sites in Puno. Exposures of interest were chronic bronchitis, depressive mood, hypertension, type 2 diabetes, and a composite variable aggregating the number of chronic conditions (the four exposures plus heart disease and stroke). QOL outcomes were assessed with EuroQol's EQ-5D visual analogue scale (EQ-VAS). We fitted linear regressions with robust variance to evaluate the associations of interest. Study site was assessed as a potential effect modifier using the likelihood-ratio (LR) test.

Results: We evaluated data on 2433 subjects: 51.3% were female, mean age was 57.2 years. Study site was found to be an effect modifier only for the association between depressive mood and EQ-VAS score (LR test p < 0.001). Compared to those without depressive mood, participants with depressive mood scored -13.7 points on the EQ-VAS in Lima, -7.9 in urban Puno, -11.0 in semi-urban Tumbes, and -2.7 in rural Puno. Study site was not found to be an effect modifier for the association between the number of chronic conditions and EQ-VAS (LR test p = 0.64).

Conclusion: The impact of depressive mood on EQ-VAS was larger in urban than in rural sites, while site was not an effect modifier for the remaining associations.

Keywords: Burden of disease; Depressive mood; Health-related quality of life; Multiple chronic conditions.

MeSH terms

  • Adult
  • Chronic Disease
  • Cohort Studies
  • Cross-Sectional Studies
  • Disease / ethnology*
  • Female
  • Humans
  • Male
  • Peru
  • Quality of Life / psychology*
  • Surveys and Questionnaires
  • Urbanization / trends*