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Appraisals of internal states and their consequences: Relationship to adolescent analogue bipolar symptoms

Kelly, R. E., Smith, P., Leigh, E., & Mansell, W.

2016;.

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Abstract

Background: Extreme appraisals of internal states correlate with and prospectively predict mood symptoms in adults, and discriminate individuals with bipolar disorder from individuals with unipolar depression and non-clinical controls. Aims: These findings required replication in adolescents. This study sought to investigate the relationships between appraisals of internal states, mood symptoms and risk for bipolar disorder in an adolescent sample. Methods: A non-clinical sample (n = 98) of adolescents completed measures of mood symptoms, appraisals, and mania risk, alongside covariates. Results: Appraisals of internal states were associated with analogue bipolar symptoms, independently of impulsivity and responses to positive affect. Positive appraisals of activated mood states were uniquely associated with hypomania, whilst negative appraisals were uniquely associated with depression and irritability symptoms. Individuals who appraised activated states as both extremely positive and extremely negative were more likely to score at high or moderate risk for future mania. Conclusions: This study is the first to demonstrate associations between appraisals of internal states, analogue mood symptoms and mania risk in adolescents. Clinical implications are discussed.

Bibliographic metadata

Type of resource:
Content type:
Publication status:
Accepted
Publication type:
Publication form:
Published date:
Accepted date:
2015-02-25
Digital Object Identifier:
http://dx.doi.org/10.1017/S1352465815000132
Attached files embargo period:
Immediate release
Attached files release date:
25th February, 2015
Access state:
Active

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:260029
Created by:
Mansell, Warren
Created:
25th February, 2015, 14:55:50
Last modified by:
Mansell, Warren
Last modified:
19th January, 2016, 08:57:50

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