Mental illness and sleep disorders among women with gynecological problems.


Journal

Journal of psychosomatic obstetrics and gynaecology
ISSN: 1743-8942
Titre abrégé: J Psychosom Obstet Gynaecol
Pays: England
ID NLM: 8308648

Informations de publication

Date de publication:
Dec 2024
Historique:
medline: 2 6 2024
pubmed: 2 6 2024
entrez: 1 6 2024
Statut: ppublish

Résumé

This retrospective cohort study identifies differences between rates of selected mental illnesses and sleep disorders according to eight gynecological problems. Analyses utilize medical claims data for adult employees of a large corporation during 2017-2021. Women with a gynecological problem (most notably pain, endometriosis, pelvic inflammation and bleeding) are significantly more likely to experience mental illness. Several gynecological problems are also significantly associated with sleep disorders. Women with a gynecological problem (vs. none) are 50% more likely to have a mental health problem and 44% more likely to have a sleep disorder after adjusting for age, marital status, dependent children and year. The largest differences between higher (%) mental illness and sleep disorders appear for hyperplasia (6% vs. 45%), cancer (11% vs. 68%), pelvic inflammation (46% vs. 79%) and pain (79% vs. 43%), respectively. On the other hand, the rate of having one or more gynecological problems ranges from 7.1% for women with no mental illness or sleep disorder to 20.6% for women with schizophrenia. Understanding the association between gynecological problems, mental illness and sleep disorders can help clinicians more effectively identify and treat patients.

Identifiants

pubmed: 38823418
doi: 10.1080/0167482X.2024.2354330
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2354330

Auteurs

Ray M Merrill (RM)

Department of Public Health, College of Life Sciences, Brigham Young University, Provo, UT, USA.

Dajeong Song (D)

Department of Public Health, College of Life Sciences, Brigham Young University, Provo, UT, USA.

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Classifications MeSH