Strip-searches in police custody and their association with ethnicity/race: evidence from an English force

Recent high-profile cases have sparked concern about strip-searches following stop and search, but less attention has been paid to strip-searching in police custody. Using binary logistic regression on data (N = 25, 676) from an English police force, we examine factors associated with strip-searching in custody for those detained under the Police and Criminal Evidence Act, 1984, finding increased odds of strip-searching among individuals who self-define as Black, disclose self-harm or mental ill-health, or are arrested for drug possession offences. Black males and Black children face higher odds than expected from either characteristic alone. As one of the very few, and quite possibly the only article in the last twenty years—either in England or elsewhere—to use multivariate analysis to consider factors associated with strip-searching of both adults and children in a single model, allowing us to control for age and interaction effects, it offers insights for theory, policy and practice.

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Publication Details

Journal
London School of Economics and Political Science Theses Online (London School of Economics and Political Science)
Published
2026-04-10
DOI
https://doi.org/10.1177/17488958261447085
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Strip-searches in police custody and their association with ethnicity/race: evidence from an English force

Abi Dymond, Amal Ali
London School of Economics and Political Science Theses Online (London School of Economics and Political Science)
Crime Patterns and Interventions
article

Strip-searches in police custody and their association with ethnicity/race: evidence from an English force

Abi Dymond, Amal Ali
article en

Abstract

Recent high-profile cases have sparked concern about strip-searches following stop and search, but less attention has been paid to strip-searching in police custody. Using binary logistic regression on data (N = 25, 676) from an English police force, we examine factors associated with strip-searching in custody for those detained under the Police and Criminal Evidence Act, 1984, finding increased odds of strip-searching among individuals who self-define as Black, disclose self-harm or mental ill-health, or are arrested for drug possession offences. Black males and Black children face higher odds than expected from either characteristic alone. As one of the very few, and quite possibly the only article in the last twenty years—either in England or elsewhere—to use multivariate analysis to consider factors associated with strip-searching of both adults and children in a single model, allowing us to control for age and interaction effects, it offers insights for theory, policy and practice.

London School of Economics and Political Science Theses Online (London School of Economics and Political Science)
Openalex Percentile: Top 4%
Crime Patterns and Interventions
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