The trajectory of anxiety and depression in people presenting to a cardiac inherited disease service: a longitudinal study.


Journal

Psychology & health
ISSN: 1476-8321
Titre abrégé: Psychol Health
Pays: England
ID NLM: 8807983

Informations de publication

Date de publication:
10 2021
Historique:
pubmed: 23 10 2020
medline: 25 2 2023
entrez: 22 10 2020
Statut: ppublish

Résumé

Little is known about the psychological experiences of individuals being investigated for cardiac inherited diseases (CID). This study aimed to assess the prevalence, trajectory and associated variables of anxiety and depression in this population. This was a longitudinal study with 116 individuals being investigated for a CID; 85 (73%) completed follow-up. Questionnaires were administered at the first appointment, post-disclosure of genetic results, and six-months later. Questionnaires measured demographic and psychological variables. The NZCID Registry provided clinical and genetic information. Thirty-seven (43%) individuals reported clinical and subclinical levels of anxiety and/or depression at least once. Anxiety and depression at follow up were associated with anxiety (p < .001) and depression ( A significant minority of individuals being investigated for a CID experience anxiety and depression. Ongoing screening for anxiety, depression, social support and somatic symptoms could help identify those individuals.

Identifiants

pubmed: 33090029
doi: 10.1080/08870446.2020.1836181
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1260-1274

Auteurs

Claire E O'Donovan (CE)

Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand.

Jonathan R Skinner (JR)

Green Lane Paediatric and Congenital Cardiac Services, Starship Children's Hospital, Auckland, New Zealand.
Department of Paediatrics Child and Youth Health, The University of Auckland, Auckland, New Zealand.

Elizabeth Broadbent (E)

Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand.

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Classifications MeSH