JOURNAL ARTICLE
Central precocious puberty: assessment, diagnosis and decisions about treatment.
Published In: Nursing Children & Young People, 2024, v. 36, n. 4. P. 36 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Mason, Leah; Daskas, Nikolaos 3 of 3
Abstract
Why you should read this article: • To understand the long-term negative physical and psychosocial consequences of precocious puberty • To learn about central precocious puberty (CPP), the more prevalent form of precocious puberty • To familiarise yourself with the factors to consider when deciding whether to treat CPP. Precocious puberty is defined as the onset of puberty before the age of eight years in girls and before the age of nine years in boys. It is associated with negative physical health consequences in the long term and can also have negative psychosocial effects, particularly in adolescence. Central precocious puberty (CPP), which is caused by the early activation of the hypothalamic-pituitary-gonadal axis, is the more prevalent form of precocious puberty. This article explains CPP and its signs, assessment, diagnosis and treatment. It also discusses the factors to consider when deciding whether or not to treat it, stressing the importance of a shared decision-making process that children and parents should be involved in. Precocious puberty must be diagnosed and managed by specialists, but all children’s nurses need a broad understanding of the condition so that they can refer children as early as possible and reassure and advise families. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Nursing Children & Young People. 2024/07, Vol. 36, Issue 4, p36
- Document Type:Article
- Subject Area:Biology
- Publication Date:2024
- ISSN:2046-2336
- DOI:10.7748/ncyp.2024.e1492
- Accession Number:178235535
- Copyright Statement:Copyright of Nursing Children & Young People is the property of Royal College of Nursing of the United Kingdom (The) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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