Evidence map›Paper›PMID 28647914›Full record

ArticleSports medicine (Auckland, N.Z.)2018

Shifting the Physical Inactivity Curve Worldwide by Closing the Gender Gap.

Grégore I Mielke, Inacio Crochemore M da Silva, Tracy L Kolbe-Alexander, Wendy J Brown

Abstract read
PubMed Publisher
In one paragraph

Article in Sports medicine (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it, 170 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Using photovoice to explore young women's experiences of behaviour change techniques in physical activity mobile apps.The international journal of behavioral nutrition and physical activity · 2023
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Trends in adherence to physical activity guidelines from 1997 to 2018 among adults with obesity: An analysis from the US National Health Interview Survey.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

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.

Grégore I MielkeSchool of Human Movement and Nutrition Sciences, University of Queensland, St Lucia Campus, Brisbane, QLD, 4072, Australia. g.ivenmielke@uq.edu.au.ORCID http://orcid.org/0000-0002-3043-2715
Inacio Crochemore M da SilvaPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.ORCID http://orcid.org/0000-0001-5390-8360
Tracy L Kolbe-AlexanderSchool of Human Movement and Nutrition Sciences, University of Queensland, St Lucia Campus, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0002-5025-3204
Wendy J BrownSchool of Human Movement and Nutrition Sciences, University of Queensland, St Lucia Campus, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0001-9093-4509
The University of Queensland · AUUniversidade Federal de Pelotas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aims of this study were to (i) examine gender differences in physical inactivity in countries with different levels of Human Development Index (HDI); and (ii) assess whether small changes in the prevalence of inactivity in women could achieve the World Health Organization's (WHO) global inactivity target.

methodsData on inactivity were extracted for 142 countries for the year 2010 from the WHO Data Repository. Data for HDI were obtained for the year 2010 from the United Nations Development Program. Absolute and relative gender differences were calculated for countries according to four HDI categories. The potential effects of increasing women's activity levels on achievement of the WHO physical inactivity target were computed.

resultsOverall inactivity prevalence was higher in women (27%) than in men (20%). Women were more inactive than men in all except eight countries. Absolute gender differences [median 7.5% (range -10.1 to 33.2)] did not vary by HDI category, but there was a small negative correlation between relative gender difference in inactivity and HDI (rho -0.19; p = 0.02), which was mostly influenced by three outlier countries with low HDI. A decrease in inactivity levels of 4.8% points among women across the world would achieve the WHO target of reducing global levels of inactivity by 10%.

conclusionGender differences in the prevalence of physical inactivity were highly variable, both within and across categories of HDI. Interventions which result in small changes in inactivity prevalence in women would achieve the 2025 WHO global target for inactivity, without any change to the prevalence in men.

Indexed as

ExerciseMotor ActivitySedentary BehaviorSex FactorsAdultFemaleGlobal HealthHumansMalePregnancyPrevalence

Identifiers

PMID28647914
OpenAlexW2705405295

What OpenQuestion holds

Textmetadata
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.