Evidence map›Paper›PMID 28190132›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2017

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-Chica, Robert Adams, Eleonora Dal Grande, Jodie Avery, Phillipa Hay, Nigel Stocks

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Health-related quality of life of unemployed individuals diagnosed with a mental illness: a cross-sectional study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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  4. Examining health-related quality of life in ambulatory adult patients with chronic heart failure: insights from Malaysia using EQ-5D-5L.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  9. Quality of Life for 19,114 participants in the ASPREE (ASPirin in Reducing Events in the Elderly) study and their association with sociodemographic and modifiable lifestyle risk factors.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

David Alejandro González-ChicaDiscipline of General Practice, School of Medicine, NHMRC Centre of Research Excellence to Reduce Inequality in Heart Disease, The University of Adelaide, 178 North Terrace, Level 11, MDP DX 650 550, Adelaide, SA, 5005, Australia. david.gonzalez@adelaide.edu.au.
Robert AdamsThe Health Observatory, Discipline of Medicine, The University of Adelaide, The Queen Elizabeth Hospital Campus, Woodville, SA, Australia.
Eleonora Dal GrandePopulation Research and Outcome Studies, Discipline of Medicine, School of Medicine, The University of Adelaide, Adelaide, SA, Australia.
Jodie AveryPopulation Research and Outcome Studies, Discipline of Medicine, School of Medicine, The University of Adelaide, Adelaide, SA, Australia.
Phillipa HayCentre for Health Research, School of Medicine, University of Western Sydney, Sydney, NSW, Australia.
Nigel StocksDiscipline of General Practice, School of Medicine, NHMRC Centre of Research Excellence to Reduce Inequality in Heart Disease, The University of Adelaide, 178 North Terrace, Level 11, MDP DX 650 550, Adelaide, SA, 5005, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

methodsCross-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.

resultsThe 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.

conclusionsA 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.

Indexed as

AdultAgedAged, 80 and overCardiovascular DiseasesCross-Sectional StudiesEducationFemaleHealth Status DisparitiesHumansLife StyleMaleMetabolic DiseasesMiddle AgedObesityQuality of LifeRisk FactorsCardiovascular diseaseHealth status disparitiesMetabolic diseaseQuality of lifeSocioeconomic factors

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.