Dataset Information

Gender differences in the comorbidity of neurological and psychological disorders in a large clinical sample of children.

ABSTRACT: This study aimed to establish rates and gender patterns of 25 comorbidities in 1912 children (72% male) with a neurological disorder and a comparison group (n = 40 718, 45% male) from a large clinical records data-set in child mental health services in the UK with clinician-recorded data on neurological and psychological conditions. Obsessive-compulsive disorder, oppositional defiant/conduct disorders, autism spectrum disorders and intellectual disabilities (also known in UK health services as learning disabilities) occurred significantly more often in both boys and girls with neurological disorders than in the comparison group. Girls with neurological disorders showed a 'male-typic' comorbidity profile.

SUBMITTER: Brandt V

PROVIDER: S-EPMC8142543 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Gender differences in the comorbidity of neurological and psychological disorders in a large clinical sample of children.

Brandt Valerie V Napoleone Elisa E Patalay Praveetha P

BJPsych open 20210504 3

This study aimed to establish rates and gender patterns of 25 comorbidities in 1912 children (72% male) with a neurological disorder and a comparison group (n = 40 718, 45% male) from a large clinical records data-set in child mental health services in the UK with clinician-recorded data on neurological and psychological conditions. Obsessive-compulsive disorder, oppositional defiant/conduct disorders, autism spectrum disorders and intellectual disabilities (also known in UK health services as l ...[more]

PMID: 33941305

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Project description:BackgroundPsychological safety as the key to mental health, not only affects individual happiness and quality of life but also relates to social stability and harmony. However, psychological safety is complex and multidimensional, with unclear internal structures and influencing factors and insufficient research on gender and age differences. Urban residents are living in an environment characterized by fast-paced, high-pressure, multicultural integration, and complex social relationships. Therefore, in-depth exploration of its core dimensions and network structure is crucial for formulating effective mental health strategies and enhancing residents' sense of psychological safety.MethodsA survey was conducted on 9,282 urban residents using the Psychological Safety Scale. Using R version 4.3.2 for network estimation, centrality estimation, accuracy and stability estimation, and network comparison.ResultsThe results found that the strength centrality index of the general sense of safety dimension is always the highest in the total network and networks of different genders and ages. The network comparison results show that there are significant gender and age differences in the dimensions/item networks of psychological safety. There are connections between trust and relaxation, excitement, and calmness in the dimension network of male samples, while there are no such connections in the dimension network of female samples. The general sense of safety and relaxation connection strength on the male dimension network is significantly stronger than that on the female dimension. In the dimension network of the youth sample, the strength of the connection between calmness and relaxation, trust and relaxation were significantly stronger than those of the middle-age sample, while the strength of the connection between relaxation and excitement was significantly weaker than that of the middle-age sample.ConclusionResearchers should fully consider gender and age factors and adopt more personalized and differentiated strategies for promoting individual psychological safety.

Dataset Information

Gender differences in the comorbidity of neurological and psychological disorders in a large clinical sample of children.

Publications

Gender differences in the comorbidity of neurological and psychological disorders in a large clinical sample of children.

Similar Datasets

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