Evidence map›Paper›PMID 28424086›Full record

ArticleThe international journal of behavioral nutrition and physical activity2017

Questioning the application of risk of bias tools in appraising evidence from natural experimental studies: critical reflections on Benton et al., IJBNPA 2016.

David K Humphreys, Jenna Panter, David Ogilvie

Abstract readComment
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. The impact of public policy on socioeconomic equity in physical activity: a systematic review.The international journal of behavioral nutrition and physical activity · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Closing the loop: short term impacts on physical activity of the completion of a loop trail in Sydney, Australia.The international journal of behavioral nutrition and physical activity · 2019
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

David K HumphreysDepartment of Social Policy and Intervention, University of Oxford, 32 Wellington Square, Oxford, OX1 2ER, UK. david.humphreys@spi.ox.ac.uk.
Jenna PanterMRC Epidemiology Unit and Centre for Diet and Activity Research (CEDAR), University of Cambridge, Box 285, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
David OgilvieMRC Epidemiology Unit and Centre for Diet and Activity Research (CEDAR), University of Cambridge, Box 285, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.

Funding

Department of Health PDF-2012-05-157Medical Research Council MC_UU_12015/6Medical Research Council MR/K023187/1
6 · The paper itself

Abstract

We recently read the article by Benton et al. which reviewed risk of bias in natural experimental studies investigating the impact of the built environment on physical activity (Benton et al., 2016; Int J Behav Nutr Phys Act 13:107). As a technical exercise in assessing risk of bias to understand study quality, we found the results of this study both interesting and potentially useful. However, it prompted a number of concerns with the use of risk of bias tools for assessing the quality of evidence from studies exploiting natural experiments. As we discuss in this commentary, the rigid application of such tools could have adverse effects on the uptake and use of natural experiments in population health research and practice.

Indexed as

BiasExerciseHumansQualitative ResearchRisk AssessmentRisk FactorsBuilt environmentNatural experimentsPhysical activityRisk of bias

Identifiers

PMID28424086
PMCPMC5397808

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.