Risk analysis of depression among adult patients with epilepsy of different sex: a retrospective single-center study from China
To determine sex differences in the prevalence of depression and assess the risk factors for depression among adult patients with epilepsy from the Dali area of China. We retrospectively analyzed the clinical data of adult patients with epilepsy who visited the First Affiliated Hospital of Dali Univ...
Gespeichert in:
Veröffentlicht in: | Frontiers in psychiatry 2023-12, Vol.14, p.1283983-1283983 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | To determine sex differences in the prevalence of depression and assess the risk factors for depression among adult patients with epilepsy from the Dali area of China.
We retrospectively analyzed the clinical data of adult patients with epilepsy who visited the First Affiliated Hospital of Dali University from January 2017 to January 2022. Patient Health Questionnaire-9 was used to assess depressive symptoms in patients with epilepsy. The risk factors of depression were analyzed by binary logistic regression among different sex in patients with epilepsy.
There were significant sex differences in depression in patients with epilepsy (
0.001), and females were 4.27 times more likely to suffer from depression than males (95% confidence interval: 3.70-4.92). The risk factors for depression among female patients with epilepsy included occupation (
0.001), years with epilepsy (
0.001), seizure frequency (
0.001), seizure type (
0.001), etiology (
0.001), number of antiseizure medications used (
0.001), antiseizure medications (
0.001), and electroencephalogram findings (
0.001). The risk factors for depression among male patients with epilepsy included age (
0.001), ethnicity (
0.001), occupation (
0.001), years with epilepsy (
0.001), seizure frequency (
0.001), seizure type (
0.001), etiology (
0.001), number of antiseizure medications used (
|
---|---|
ISSN: | 1664-0640 1664-0640 |
DOI: | 10.3389/fpsyt.2023.1283983 |