Evidence map›Paper›PMID 26959041›Full record

ArticleInternational journal of environmental research and public health2016

Sports Facilities, Shopping Centers or Homes: What Locations are Important for Adults' Physical Activity? A Cross-Sectional Study.

Marijke Jansen, Dick Ettema, Frank Pierik, Martin Dijst

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
–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, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. The impact ofFrontiers in public health · 2025
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  15. Evidence synthesis - Where are children and adults physically active and sedentary? - a rapid review of location-based studies.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2019
    Review
  16. Article
  17. Do Physical Activity Friendly Neighborhoods Affect Community Members Equally? A Cross-Sectional Study.International journal of environmental research and public health · 2018
    Article
  18. Article
  19. 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.

Marijke JansenDepartment of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, Utrecht 3584 CS, The Netherlands. f.m.jansen@uu.nl.
Dick EttemaDepartment of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, Utrecht 3584 CS, The Netherlands. d.f.ettema@uu.nl.
Frank PierikDepartment of Urban Environment and Safety, Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek/Netherlands Organisation for Applied Scientific Research (TNO), P.O. Box 80015, Utrecht 3508 TA, The Netherlands. frank.pierik@tno.nl.
Martin DijstDepartment of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, Utrecht 3584 CS, The Netherlands. m.j.dijst@uu.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity (PA) is influenced by the built environment. However, little is known about the types of built environment where adults spend their time, and at what levels of PA they engage in those environments. Understanding the effect of the built environment on PA requires insight into PA behavior at different types of locations (e.g., home, work, shopping centers, and sports facilities). Therefore, this study describes where adults aged 45-65 years were active with moderate-to-vigorous intensity (MVPA), and examines associations of socio-demographic factors and neighborhood with MVPA at these locations. Participants' (N = 308) PA was measured for seven days using accelerometers and GPS-devices. Adults spent most minutes of MVPA at home and work. Highest MVPA-ratios of total time spent at a location were achieved in sports facilities and during transport. Neighborhood characteristics and socio-demographic factors such as work status, health status and household structure, had significant effects on MVPA at various locations and on total MVPA. Understanding PA behavior at various locations may provide insights that allow professionals in different domains (e.g., health, landscaping, urban planning) to develop strategies to stimulate PA.

Indexed as

Environment DesignMotor ActivityResidence CharacteristicsAgedCross-Sectional StudiesExerciseFemaleHealth StatusHumansMaleMiddle AgedNetherlandsSportsaccelerometeractivity locationsglobal positioning system (GPS)physical activity

Identifiers

PMID26959041
PMCPMC4808950

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.