Neighbourhood socioeconomic deprivation and health-related quality of life: A multilevel analysis

PLoS One. 2017 Dec 13;12(12):e0188736. doi: 10.1371/journal.pone.0188736. eCollection 2017.

Abstract

Objective: To assess the relationship between socioeconomic deprivation and health-related quality of life in urban neighbourhoods, using a multilevel approach.

Methods: Of the population-based cohort EPIPorto, 1154 georeferenced participants completed the 36-Item Short-Form Health Survey. Neighbourhood socioeconomic deprivation classes were estimated using latent-class analysis. Multilevel models measured clustering and contextual effects of neighbourhood deprivation on physical and mental HRQoL.

Results: Residents from the least deprived neighbourhoods had higher physical HRQoL. Neighbourhood socioeconomic deprivation together with individual-level variables (age, gender and education) and health-related factors (smoking, alcohol consumption, sedentariness and chronic diseases) explained 98% of the total between-neighbourhood variance. Neighbourhood socioeconomic deprivation was significantly associated with physical health when comparing least and most deprived neighbourhoods (class 2-beta coefficient: -0.60; 95% confidence interval:-1.76;-0.56; class 3 -beta coefficient: -2.28; 95% confidence interval:-3.96;-0.60), and as neighbourhood deprivation increases, a decrease in all values of physical health dimensions (physical functioning, role physical, bodily pain and general health) was also observed. Regarding the mental health dimension, no neighbourhood clustering or contextual effects were found. However, as neighbourhood deprivation increases, the values of vitality and role emotional dimensions significantly decreased.

Conclusion: Neighbourhood socioeconomic deprivation is associated with HRQoL, affecting particularly physical health. This study suggests that to improve HRQoL, people and places should be targeted simultaneously.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Cohort Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Quality of Life*
  • Residence Characteristics*
  • Socioeconomic Factors*
  • Young Adult

Grants and funding

The authors acknowledge the EPIUnit, Instituto de Saúde Pública, Universidade do Porto, Portugal (UID/DTP/04750/2013) which is funded by FEDER through the Operational Programme Competitiveness and Internationalization and national funding from the Foundation for Science and Technology (FCT; Portuguese Ministry of Science, Technology and Higher Education), the European Commission (Horizon 2020 LIFEPATH project, grant nº63366), and the project DOCnet (NORTE-01-0145-FEDER-000003), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). It is also supported by the PhD grant SFRH/BD/103726/2014 (VR) and the Postdoc grant SFRH/BPD/97015/2013 (SF), co-funded by FCT and the Human Capital Operating Programme (HCOP/FSE).