Evidence map›Paper›PMID 26291457›Full record

ArticlePloS one2015

A Widening Gap? Changes in Multiple Lifestyle Risk Behaviours by Socioeconomic Status in New South Wales, Australia, 2002-2012.

Ding Ding, Anna Do, Heather-Marie Schmidt, Adrian E Bauman

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Adhering to the 2017 Dutch Physical Activity Guidelines: A Trend over Time 2001-2018.International journal of environmental research and public health · 2020
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ding DingPrevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, New South Wales, Australia.
Anna DoCentre for Epidemiology and Evidence, New South Wales Ministry of Health, North Sydney, New South Wales, Australia.
Heather-Marie SchmidtCentre for Population Health, New South Wales Ministry of Health, North Sydney, New South Wales, Australia.
Adrian E BaumanPrevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocioeconomic inequalities in health outcomes have increased over the past few decades in some countries. However, the trends in inequalities related to multiple health risk behaviours have been infrequently reported. In this study, we examined the trends in individual health risk behaviours and a summary lifestyle risk index in New South Wales, Australia, and whether the absolute and relative inequalities in risk behaviours by socioeconomic positions have changed over time.

methodsUsing data from the annual New South Wales Adult Population Health Survey during the period of 2002-2012, we examined four individual risk behaviours (smoking, higher than recommended alcohol consumption, insufficient fruit and vegetable intake, and insufficient physical activity) and a combined lifestyle risk indicator. Socioeconomic inequalities were assessed based on educational attainment and postal area-level index of relative socio-economic disadvantage (IRSD), and were presented as prevalence difference for absolute inequalities and prevalence ratio for relative inequalities. Trend tests and survey logistic regression models examined whether the degree of absolute and relative inequalities between the most and least disadvantaged subgroups have changed over time.

resultsThe prevalence of all individual risk behaviours and the summary lifestyle risk indicator declined from 2002 to 2012. Particularly, the prevalence of physical inactivity and smoking decreased from 52.6% and 22% in 2002 to 43.8% and 17.1% in 2012 (p for trend<0.001). However, a significant trend was observed for increasing absolute and relative inequalities in smoking, insufficient fruit and vegetable consumption, and the summary lifestyle risk indicator.

conclusionsThe overall improvement in health behaviours in New South Wales, Australia, co-occurred with a widening socioeconomic gap. IMPLICATIONS: Governments should address health inequalities through risk factor surveillance and combined strategies of population-wide and targeted interventions.

Indexed as

Health BehaviorLife StyleRisk-TakingAlcohol DrinkingFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedNew South WalesPrevalenceRisk FactorsSmokingSocial ClassSocioeconomic Factors

Identifiers

PMID26291457
PMCPMC4546406

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.