Evidence map›Paper›PMID 25379026›Full record

ArticlePopulation health metrics2014

Ten-year trends in major lifestyle risk factors using an ongoing population surveillance system in Australia.

Anne W Taylor, Eleonora Dal Grande, Jing Wu, Zumin Shi, Stefano Campostrini

Abstract read
In one paragraph

Article in Population health metrics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The cascade of social determinants in producing chronic disease in low-income African-American men.International journal of qualitative studies on health and well-being · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
    Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Childhood burn injury-impacts beyond discharge.Translational pediatrics · 2015
    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

5 authors.

Anne W TaylorPopulation Research & Outcome Studies, Discipline of Medicine, The University of Adelaide, Adelaide, South Australia ; Ca' Foscari University, Venice, Italy.
Eleonora Dal GrandePopulation Research & Outcome Studies, Discipline of Medicine, The University of Adelaide, Adelaide, South Australia.
Jing WuPopulation Research & Outcome Studies, Discipline of Medicine, The University of Adelaide, Adelaide, South Australia.
Zumin ShiPopulation Research & Outcome Studies, Discipline of Medicine, The University of Adelaide, Adelaide, South Australia.
Stefano CampostriniDepartment of Economics, Ca' Foscari University, Venice, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding how risk factors (tobacco, alcohol, physical inactivity, unhealthy diet, high blood pressure, and high cholesterol) change over time is a critical aim of public health. The associations across the social gradient over time are important considerations. Risk factor surveillance systems have a part to play in understanding the epidemiological distribution of the risk factors so as to improve preventive measures and design public health interventions for reducing the burden of disease.

methodsRepresentative, cross-sectional data were collected in South Australia using telephone interviews, conducted on a minimum of 600 randomly selected people (of all ages) each month. Data were collected from January 2004 to December 2013. Unadjusted prevalence over time, the relative percentage change over the 10 years, and the absolute change of the risk factors with sex, age group, and socio-economic status (SES) estimates are presented.

resultsIn total 55,548 adults (≥18 years) were interviewed (mean age = 47.8 years, 48.8% male). Decreases were apparent for insufficient physical activity, inadequate fruit and vegetables, smoking, and soft drink consumption of ≥500 ml/day. Increases were found over the 10 years for obesity, high cholesterol, diabetes, and for those with no risk factors. Apparent differences were noticeable by different sex, age, and SES categories. While increases in physical activity and fruit and vegetable consumption and decreases in smoking prevalence and multiple risk factors are to be expected in 2020-2021, the prevalence of obesity, high blood pressure, high cholesterol, and diabetes are expected to increase.

conclusionsPublic health efforts in increasing the proportion of the population undertaking appropriate risk factor behavior are showing signs of success, with data from 2004 to 2013 showing encouraging trends. Deriving comparable trends over time by key demographics and SES variables provides evidence for policymakers and health planners to encourage interventions aimed at preventing chronic disease.

Indexed as

AustraliaRisk factorsSurveillanceTrends

Identifiers

PMID25379026
PMCPMC4222399

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.