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Quality of Life Research

, Volume 26, Issue 6, pp 1521–1530 | Cite as

Lower educational level and unemployment increase the impact of cardiometabolic conditions on the quality of life: results of a population-based study in South Australia

  • David Alejandro  González-ChicaEmail author
  • Robert Adams
  • Eleonora Dal Grande
  • Jodie Avery
  • Phillipa Hay
  • Nigel Stocks
Article

Abstract

Purpose

To investigate if sociodemographic characteristics increase the adverse effects of cardiovascular diseases (CVD) and cardiometabolic risk factors (CMRF) on health-related quality of life (HRQoL).

Methods

Cross-sectional, face-to-face survey investigating 2379 adults living in South Australia in 2015 (57.1 ± 14 years; 51.7% females). Questions included diagnosis of CMRF (obesity, diabetes, hypertension, dyslipidaemia) and CVD. Physical and mental HRQoL were assessed using the SF-12v1 questionnaire. Multiple linear regression models including confounders (sociodemographic, lifestyle, use of preventive medication) and interaction terms between sociodemographic variables and cardiometabolic conditions were used in adjusted analysis.

Results

The prevalence of CMRF (one or more) was 54.6% and CVD was 13.0%. The physical HRQoL reduced from 50.8 (95%CI 50.2–51.4) in healthy individuals to 45.1 (95%CI 44.4–45.9) and 39.1 (95%CI 37.7–40.5) among those with CMRF and CVD, respectively. Adjustment for sociodemographic variables reduced these differences in 33%, remaining stable after controlling for lifestyle and use of preventive medications (p < 0.001). Differences in physical HRQoL according to cardiometabolic conditions were twice as high among those with lower educational level, or if they were not working. Among unemployed, having a CMRF or a CVD had the same impact on the physical HRQoL (9.7 lower score than healthy individuals). The inverse association between cardiometabolic conditions and mental HRQoL was subtle (p = 0.030), with no evidence of disparities due to sociodemographic variables.

Conclusions

A lower educational level and unemployment increase the adverse effects of cardiometabolic conditions on the physical HRQoL. Targeted interventions for reducing CMRF and/or CVD in these groups are necessary to improve HRQoL.

Keywords

Quality of life Cardiovascular disease Metabolic disease Socioeconomic factors Health status disparities 

Notes

Acknowledgements

The author acknowledges the participants of the 2015 Spring Health Omnibus Survey for their participation in this study.

Compliance with ethical standards

Funding

D.A. González-Chica received a part Fellowship from the NHMRC Centre of Research Excellence to Reduce Inequality in Heart Disease to conduct this study.

Conflict of interest

All the authors declare they have no conflict of interest.

Ethical approval

This study was approved by the University of Adelaide Human Research Ethics Committee (project H-097-2010). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Participants provided verbal rather than written informed consent, due to the practicalities of carrying out a large-scale survey and the low-risk nature of the survey content.

Supplementary material

11136_2017_1503_MOESM1_ESM.docx (37 kb)
Supplementary material 1 (DOCX 36 KB)

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • David Alejandro  González-Chica
    • 1
    Email author
  • Robert Adams
    • 2
  • Eleonora Dal Grande
    • 3
  • Jodie Avery
    • 3
  • Phillipa Hay
    • 4
  • Nigel Stocks
    • 1
  1. 1.Discipline of General Practice, School of Medicine, NHMRC Centre of Research Excellence to Reduce Inequality in Heart DiseaseThe University of AdelaideAdelaideAustralia
  2. 2.The Health Observatory, Discipline of MedicineThe University of AdelaideWoodvilleAustralia
  3. 3.Population Research and Outcome Studies, Discipline of Medicine, School of MedicineThe University of AdelaideAdelaideAustralia
  4. 4.Centre for Health Research, School of MedicineUniversity of Western SydneySydneyAustralia

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