Evidence map›Paper›PMID 42824701›Full record

ArticlePublic health in practice (Oxford, England)2026

Changes in land-based gambling premises in London, Great Britain, 2020-2025.

Jenny Blythe

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Jenny BlytheQueen Mary University of London, Whitechapel, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To examine changes in the number and types of land-based gambling premises across London boroughs between December 2020 and December 2025, and to assess whether these changes were associated with borough-level deprivation. Study design: A longitudinal analysis of gambling premises across all 32 London boroughs using routinely collected regulatory data over a five-year period. Borough-level gambling availability was analysed alongside deprivation rankings derived from the 2019 Indices of Multiple Deprivation (IMD). Methods: Data on licensed gambling premises were obtained annually from the Gambling Commission register for December 2020-2025. Boroughs were ranked by IMD 2019 score, and trends in gambling premises were examined overall and by deprivation level. Comparisons were undertaken between the 25% most deprived and 25% least deprived boroughs, and a slope coefficient was used as a summary measure of the association between borough deprivation ranking and the number of gambling premises. Results: Total gambling premises in London fell from 1516 in 2020 to 1478 in 2025, a net reduction of 38 premises. However, this overall decline masked widening inequalities. The most deprived quartile of boroughs experienced a net increase of five premises, while the least deprived quartile experienced a decline of eleven premises. The positive association between borough-level deprivation and gambling premises strengthened during the study period (R Conclusions: Despite an overall reduction in land-based gambling premises, gambling availability has become increasingly concentrated in deprived London boroughs. These findings suggest that current regulatory arrangements may be reinforcing existing health inequalities, highlighting the need for gambling policy reforms that address the unequal distribution of land-based gambling opportunities and associated harms.

Identifiers

PMID42824701
PMCPMC13629313

What OpenQuestion holds

Textmetadata
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.