Evidence map›Paper›PMID 31796070›Full record

ArticleThe international journal of behavioral nutrition and physical activity2019

Do associations of sex, age and education with transport and leisure-time physical activity differ across 17 cities in 12 countries?

Josef Mitáš, Ester Cerin, Rodrigo Siqueira Reis, Terry L Conway, Kelli L Cain, Marc A Adams, Grant Schofield, Olga L Sarmiento, Lars B Christiansen, Rachel Davey and 8 more

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  13. Interactive effect of socio-eco-demographic characteristics and perceived physical activity barriers on physical activity level among older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2022
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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

18 authors.

Josef MitášInstitute of Active Lifestyle, Faculty of Physical Culture, Palacký University, Olomouc, Czech Republic. josef.mitas@upol.cz.ORCID 0000-0001-7219-931X
Ester CerinMary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia.
Rodrigo Siqueira ReisPrevention Research Center, Brown School, Washington University in St. Louis, Saint Louis, MO, USA.
Terry L ConwayDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.
Kelli L CainDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.
Marc A AdamsGlobal Institute of Sustainability, College of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Grant SchofieldFaculty of Health and Environmental Sciences, AUT University, Auckland, New Zealand.
Olga L SarmientoSchool of Medicine, Universidad de los Andes, Bogotá, Colombia.
Lars B ChristiansenDepartment of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
Rachel DaveyHealth Research Unit, University of Canberra, Canberra, Australia.
Deborah SalvoPrevention Research Center, Brown School, Washington University in St. Louis, Saint Louis, MO, USA.
Rosario Orzanco-GarraldaUniversity Public of Navarra, Pamplona, Spain.
Duncan MacfarlaneCentre for Sports and Exercise, University of Hong Kong, Pok Fu Lam, Hong Kong.
Adriano Akira F HinoHealth Technology Graduate Program, Pontifical Catholic University of Parana, Curitiba, Brazil.
Ilse De BourdeaudhuijDepartment of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
Neville OwenBaker Heart and Diabetes Institute, Melbourne, Australia.
Delfien Van DyckDepartment of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
James F SallisMary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia.

Funding

IPEN: International Study of Built Environment, Physical Activity, and ObesityR01CA127296 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SALLIS, JAMES F. · 2009 to 2012
$2.5M
NCI NIH HHS R01 CA127296
6 · The paper itself

Abstract

backgroundLeisure-time and transport activity domains are studied most often because they are considered more amenable to intervention, but to date evidence on these domains is limited. The aim of the present study was to examine patterns of socio-demographic correlates of adults' leisure-time and transport physical activity and how these associations varied across 17 cities in 12 countries.

methodsParticipants (N = 13,745) aged 18-66 years in the IPEN Adult study and with complete data on socio-demographic and self-reported physical activity characteristics were included. Participants reported frequency and duration of leisure-time and transport activities in the last 7 days using the self-administered International Physical Activity Questionnaire-Long Form. Six physical activity outcomes were examined in relation with age, education, and sex, and analyses explored variations by city and curvilinear associations.

resultsSex had the most consistent results, with five of six physical activity outcomes showing females were less active than males. Age had the most complex associations with self-report transport and leisure-time physical activity. Compared to older people, younger adults were less likely to engage in transport physical activity, but among those who did, younger people were likely to engage in more active minutes. Curvilinear associations were found between age and all three leisure-time physical activity outcomes, with the youngest and the oldest being more active. Positive associations with education were found for leisure-time physical activity only. There were significant interactions of city with sex and education for multiple physical activity outcomes.

conclusionsAlthough socio-demographic correlates of physical activity are widely studied, the present results provide new information. City-specific findings suggest there will be value in conducting more detailed case studies. The curvilinear associations of age with leisure-time physical activity as well as significant interactions of leisure-time activity with sex and education should be further investigated. The findings of lower leisure-time physical activity among females as well as people with low education suggest that greater and continued efforts in physical activity policies and programs tailored to these high-risk groups are needed internationally.

Indexed as

Leisure ActivitiesAdolescentAdultAgedEducational StatusExerciseFemaleHumansMaleMiddle AgedYoung AdultHealth disparitiesInternational healthIPAQPhysical activity domainSocial epidemiology

Identifiers

PMID31796070
PMCPMC6888920

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.