Evidence map›Paper›PMID 39619621›Full record

ArticleInternational journal of population data science2024

Residential mobility amongst children and young people in Wales: A longitudinal study using linked administrative records.

Jo Davies, Rowena Bailey, Amy Mizen, Theordora Pouliou, Richard Fry, Rebecca Pedrick-Case, Gareth Stratton, Rhodri Johnson, Hayley Christian, Ronan Lyons and 1 more

Abstract read
In one paragraph

Article in International journal of population data science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Strategies for ascertaining timing of address changes in administrative data.International journal of population data science · 2025
    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

11 authors.

Jo DaviesPopulation Data Science, Swansea University Medical School, Swansea, UK.
Rowena BaileyPopulation Data Science, Swansea University Medical School, Swansea, UK.
Amy MizenPopulation Data Science, Swansea University Medical School, Swansea, UK.
Theordora PouliouPopulation Data Science, Swansea University Medical School, Swansea, UK.
Richard FryPopulation Data Science, Swansea University Medical School, Swansea, UK.
Rebecca Pedrick-CasePopulation Data Science, Swansea University Medical School, Swansea, UK.
Gareth StrattonResearch Centre in Applied Sports, Technology, Exercise and Medicine, Swansea University, Swansea, UK.
Rhodri JohnsonPopulation Data Science, Swansea University Medical School, Swansea, UK.
Hayley ChristianTelethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia; School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.
Ronan LyonsPopulation Data Science, Swansea University Medical School, Swansea, UK.
Lucy GriffithsPopulation Data Science, Swansea University Medical School, Swansea, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Child poverty remains a major global concern and a child's experience of deprivation is heavily shaped by where they live and the stability of their local neighbourhood. This study examines frequencies and patterns of residential mobility in children and young people (CYP) at a population level using novel geospatial techniques to assess how often their physical environment changes and to identify geographical variations in social mobility. Methods: We used routinely collected administrative records held in the Secure Anonymised Information Linkage (SAIL) Databank for CYP aged under 18 years living in Wales between 2012 and 2022. We calculated the Moran's I statistic to assess the magnitude of Lower layer Super Output Area (LSOA)-level geographic variation in residential mobility and used the Local Indicator of Spatial Association (LISA) to identify clusters of LSOAs where there are higher rates of residential mobility. Results: This study included 923,531 CYP, with 58% having moved at least once during the study period. A total number of 1,209,102 house moves were recorded, 59% of which occurred between the ages of 0 and 5 years. Almost 10% of the cohort resided in five or more dwellings before the age of 18 years. In terms of area-level (LSOA) deprivation, 75% of house moves were to areas with the same or higher levels of deprivation, leaving only 25% of house moves that achieved upward social mobility. Clustering of residential mobility was identified predominantly in areas of high deprivation. Conclusion: The findings of this study show that residential mobility is linked with socio-economic circumstances and is experienced by over half of CYP in Wales. Understanding where CYP live, their mobility patterns and which areas have high levels of influx and efflux is crucial for policymakers to generate well-informed, targeted and effective child-focused interventions.

Indexed as

Population DynamicsAdolescentChildChild, PreschoolFemaleHumansInfantInfant, NewbornLongitudinal StudiesMaleNeighborhood CharacteristicsResidence CharacteristicsWaleschildren & young peopledeprivationpovertyresidential mobilitysocial mobility

Identifiers

PMID39619621
PMCPMC11606628

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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.