Predicting the persistence of severe self-injurious behavior

Eric Emerson; Chris Kiernan; Alison Alborz; David Reeves; Heidi Mason; Rebecca Swarbrick; Linda Mason; Chris Hatton

doi:10.1016/S0891-4222(00)00062-7

Predicting the persistence of severe self-injurious behavior

Eric Emerson, Chris Kiernan, Alison Alborz, David Reeves, Heidi Mason, Rebecca Swarbrick, Linda Mason, Chris Hatton

Manchester Institute of Education

Research output: Contribution to journal › Article › peer-review

Abstract

Information was collected on 95 people with mental retardation who had been identified seven years previously as showing severe self-injurious behavior. At follow up 71% of participants were still showing self-injurious behavior of a severity which presented a management problem for care staff. The occurrence of specific topographies of self-injury was extremely stable among the group showing persistent self-injury. Finally, self-injury status at follow-up was predicted with 76% accuracy by a logistic regression model containing three variables: site of injury (higher persistence being shown by people exhibiting head directed self-injury); reported (greater) stability of self-injury when first identified; and (younger) age. Copyright © 2001 Elsevier Science Inc.

Original language	English
Pages (from-to)	67-75
Number of pages	8
Journal	Research in developmental disabilities
Volume	22
Issue number	1
DOIs	https://doi.org/10.1016/S0891-4222(00)00062-7
Publication status	Published - 2001

Keywords

Adolescent
Adult
Aged
Behavior Therapy
Child
Cohort Studies
Female
Follow-Up Studies
Humans
Male
psychology: Mental Retardation
Middle Aged
psychology: Self-Injurious Behavior
Treatment Outcome

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/S0891-4222(00)00062-7

Cite this

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title = "Predicting the persistence of severe self-injurious behavior",

abstract = "Information was collected on 95 people with mental retardation who had been identified seven years previously as showing severe self-injurious behavior. At follow up 71% of participants were still showing self-injurious behavior of a severity which presented a management problem for care staff. The occurrence of specific topographies of self-injury was extremely stable among the group showing persistent self-injury. Finally, self-injury status at follow-up was predicted with 76% accuracy by a logistic regression model containing three variables: site of injury (higher persistence being shown by people exhibiting head directed self-injury); reported (greater) stability of self-injury when first identified; and (younger) age. Copyright {\textcopyright} 2001 Elsevier Science Inc.",

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AU - Emerson, Eric

AU - Kiernan, Chris

AU - Alborz, Alison

AU - Reeves, David

AU - Mason, Heidi

AU - Swarbrick, Rebecca

AU - Mason, Linda

AU - Hatton, Chris

PY - 2001

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AB - Information was collected on 95 people with mental retardation who had been identified seven years previously as showing severe self-injurious behavior. At follow up 71% of participants were still showing self-injurious behavior of a severity which presented a management problem for care staff. The occurrence of specific topographies of self-injury was extremely stable among the group showing persistent self-injury. Finally, self-injury status at follow-up was predicted with 76% accuracy by a logistic regression model containing three variables: site of injury (higher persistence being shown by people exhibiting head directed self-injury); reported (greater) stability of self-injury when first identified; and (younger) age. Copyright © 2001 Elsevier Science Inc.

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KW - Aged

KW - Behavior Therapy

KW - Child

KW - Cohort Studies

KW - Female

KW - Follow-Up Studies

KW - Humans

KW - Male

KW - psychology: Mental Retardation

KW - Middle Aged

KW - psychology: Self-Injurious Behavior

KW - Treatment Outcome

U2 - 10.1016/S0891-4222(00)00062-7

DO - 10.1016/S0891-4222(00)00062-7

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JO - Research in developmental disabilities

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Predicting the persistence of severe self-injurious behavior

Abstract

Keywords

UN SDGs

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