ArticleBMC research notes2018
Are disadvantaged children more likely to be excluded from analysis when applying global positioning systems inclusion criteria?
Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Pooled it
- Use of Accelerometry and Global Positioning System (GPS) to Describe Children's Park-Based Physical Activity Among Racial and Ethnic Minority Youth.Journal of urban health : bulletin of the New York Academy of Medicine · 2025Article
- Inequalities in children's exposure to alcohol outlets in Scotland: a GPS study.BMC public health · 2022Article
- The Potential for Bias across GPS-Accelerometer Combined Wear Criteria among Adolescents.International journal of environmental research and public health · 2022Article
- Objective measurement of children's physical activity geographies: A systematic search and scoping review.Health & place · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWhen using global positioning systems (GPS) to assess an individual's exposure to their environment, a first step in data cleaning is to establish minimum GPS 'inclusion criteria' (a set of rules used to determine which GPS data are able to be included in analyses). Care is needed at this stage to avoid any data exclusion (data loss) systematically biasing results in terms of characteristics of the environment and participants. The extent of potential systematic bias in sample retention due to GPS data loss and application of GPS inclusion criteria is unknown. The aim of this study was to describe differences in sample size and socio-demographic characteristics of the retained sample when applying three different GPS inclusion criteria. The study assessed 7-day GPS data collected from children (aged 9-13 years) recruited from nine schools in Auckland, New Zealand as part of the Kids in the City study.
resultsParticipants from ethnic minorities and those attending schools in lower socioeconomic areas were disproportionately excluded from the retained samples. This highlights potential equity implications in basing the assessment of exposure-which ultimately influences research results on the relationship between environment and health-on non-representative GPS data.
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Registered trials
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.