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Details

Autor(en) / Beteiligte
Titel
Abnormal blood lipid and electrocardiogram characteristics in common mental disorders
Ist Teil von
  • BMC psychiatry, 2023-06, Vol.23 (1), p.465-465, Article 465
Ort / Verlag
England: BioMed Central Ltd
Erscheinungsjahr
2023
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • At present, there is not enough evidence to prove the relationship between blood lipid and electrocardiogram (ECG) abnormalities in common mental disorders (CMD). This study aimed to explore the relationship between them, to detect and prevent arrhythmia or sudden death. We collected 272 CMD patients (maintained a fixed drug dose pattern for 1 year or more), including 95 schizophrenias (SC), 90 bipolar disorders (BD) and 87 major depressive disorders (MDD), and 78 healthy controls (HC) from the Third People's Hospital of Foshan, China. We analyzed and compared their blood lipid and ECG indicators, to clarify the relationship between them. 350 participants were included. There were no significant differences in age, gender, total cholesterol (TC), low density lipoprotein (LDL) and QTc (p > 0.05) among subjects. And there were significant differences in body mass index (BMI), triglyceride (TG), high density lipoprotein (HDL), heart rate, PR interval and QRS width (p < 0.05). Person correlation analysis showed that QRS width was positively correlated with BMI and TG. And negatively correlated with HDL. Meanwhile, QTc was positively correlated with BMI. Multiple linear regional analysis further proved that TG (B = 3.849, p = 0.007) and LDL (B = 11.764, p = 0.018) were the risk factors, and HDL (B = -9.935, p = 0.025) was the protective factor for QRS width increase. Long term medication of CMD patients should strengthen weight management, and conduct regular blood lipid and ECG examinations to achieve early detection and intervention in order to promote their health.
Sprache
Englisch
Identifikatoren
ISSN: 1471-244X
eISSN: 1471-244X
DOI: 10.1186/s12888-023-04965-9
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_73e289f7079c4b8b82739204474e5000

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