Evidence map›Paper›PMID 32778110›Full record

ArticleThe international journal of behavioral nutrition and physical activity2020

Twelve year trajectories of physical activity and health costs in mid-age Australian women.

Grace A O Gomes, Wendy J Brown, Jamile S Codogno, Gregore I Mielke

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Article
  3. Is the 10-Year Trajectory of Physical Activity Associated With the Incidence of Mild Cognitive Impairment in Older Adults?Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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 at 2 institutions in 2 countries.

Grace A O GomesDepartment of Gerontology, Federal University of São Carlos, Rod. Washington Luiz, s/n, São Carlos, SP, 13565-905, Brazil. graceaogomes@yahoo.com.br.ORCID 0000-0003-0600-2093
Wendy J BrownSchool of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia QLD, Brisbane, Queensland, 4072, Australia.
Jamile S CodognoDepartment of Physical Education, Presidente Prudente, São Paulo State University, R. Roberto Símonsen, 305 - Centro Educacional, Pres. Prudente, SP, 19060-900, Brazil.
Gregore I MielkeSchool of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia QLD, Brisbane, Queensland, 4072, Australia.
The University of Queensland · AUHospital Regional de Presidente Prudente · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have examined relationships between physical activity (PA) during mid-age and health costs in women. The aim of this study was to investigate associations between PA levels and trajectories over 12 years with medical and pharmaceutical costs in mid-age Australian women.

methodsData from 6953 participants in the Australian Longitudinal Study on Women's Health (born in 1946-1951) were analysed in 2019. PA was self-reported in 2001 (50-55y), 2007 (56-61y) and 2013 (62-67y). PA data were linked with 2013-2015 data from the Medicare (MBS) and Pharmaceutical (PBS) Benefits Schemes. Quantile regression was used to examine associations between PA patterns [always active, increasers, decreasers, fluctuaters or always inactive (reference)] with these medical and pharmaceutical costs.

resultsAmong women who were consistently inactive (< 500 MET.minutes/week) in 2001, 2007 and 2013, median MBS and PBS costs (2013 to 2015) were AUD4261 and AUD1850, respectively. Those costs were AUD1728 (95%CI: 443-3013) and AUD578 (95%CI: 426-729) lower among women who were consistently active in 2001, 2007 and 2013 than among those who were always inactive. PBS costs were also lower in women who were active at only one survey (AUD205; 95%CI: 49-360), and in those whose PA increased between 2001 and 2013 (AUD388; 95%CI: 232-545).

conclusionMaintaining 'active' PA status was associated with 40% lower MBS and 30% lower PBS costs over three years in Australian women. Helping women to remain active in mid-life could result in considerable savings for both women and the Australian government.

Indexed as

ExerciseAgedAustraliaFemaleHealth Care CostsHumansLongitudinal StudiesMiddle AgedNational Health ProgramsWomen's HealthBehaviorExerciseHealth care costsHealth expendituresMiddle agedOlder adults

Identifiers

PMID32778110
PMCPMC7418418
OpenAlexW3047974137

What Socratic 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 Socratic graph.