Antipsychotic Dosage and Frequency of Manic Episodes as Predictors of Metabolic Syndrome in Bipolar Disorder: A One-Year Follow-Up

Introduction Metabolic syndrome (MetS) is notably prevalent among individuals with bipolar disorder (BD). Despite numerous studies indicating an increasing MetS prevalence in this group over time, comprehensive investigations of associated risk factors remain limited. Objectives This study aims to assess the prevalence and 1-year changes in MetS among BD patients. It also seeks to identify baseline clinical features that could predict the development of MetS during follow-up. Methods The study included euthymic BD type 1 patients consecutively admitted between July 2023 and July 2024. MetS was diagnosed uaccording to NCEP ATP-III criteria at baseline and after one year. Patients without MetS at baseline were analyzed to evaluate the association between initial clinical characteristics and MetS presence at follow-up through logistic regression. Results A total of 98 patients completed the baseline and follow-up assessments. The prevalence of MetS significantly increased from 29.6% to 51.0% over the 1-year naturalistic follow-up. Initially, there were no significant differences between the groups with and without MetS regarding demographics, illness characteristics, treatment types, comorbidities, and chlorpromazine equivalent dose. By the end of the follow-up period, 29 new MetS cases were diagnosed after excluding those initially identified. This group exhibited higher numbers of total episodes, more manic episodes, and greater hospitalization rates (p = 0.04,-2.067; p = 0.03, -2.193; p = 0.03, -3.207), with no significant differences in other demographic or clinical variables.In the logistic regression analysis, which controlled for age, gender, number of depressive episodes, and the use of lithium and valproate, the equivalent chlorpromazine dose (p = 0.04, OR: 1.003) emerged as a significant predictor of metabolic syndrome, while the number of manic or hypomanic episodes demonstrated a trend towards significance (p = 0.05). Conclusions In conclusion, this study shows that the prevalence of MetS in patients with BD type-1 in Turkey increased from 29.6% to 51.0% over one year. Increased numbers of manic episodes and higher chlorpromazine doses were linked to the development of MetS. This underscores the importance of monitoring metabolic health, especially in patients with frequent manic episodes or high antipsychotic doses. Disclosure of Interest None Declared

Authors

Institutions

Publication Details

Journal
European Psychiatry
Published
2025-04-01
DOI
https://doi.org/10.1192/j.eurpsy.2025.314
Citations
1
Primary Topic
Bipolar Disorder and Treatment
Type
article
Field-Weighted Citation Impact
1.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antipsychotic Dosage and Frequency of Manic Episodes as Predictors of Metabolic Syndrome in Bipolar Disorder: A One-Year Follow-Up

Metin Ergün, Hasan Ali Güler, Rukiye Tekdemir
1 citations
European Psychiatry
Bipolar Disorder and Treatment
1.47
article

Antipsychotic Dosage and Frequency of Manic Episodes as Predictors of Metabolic Syndrome in Bipolar Disorder: A One-Year Follow-Up

Metin Ergün, Hasan Ali Güler, Rukiye Tekdemir
article en
1 citations

Abstract

Introduction Metabolic syndrome (MetS) is notably prevalent among individuals with bipolar disorder (BD). Despite numerous studies indicating an increasing MetS prevalence in this group over time, comprehensive investigations of associated risk factors remain limited. Objectives This study aims to assess the prevalence and 1-year changes in MetS among BD patients. It also seeks to identify baseline clinical features that could predict the development of MetS during follow-up. Methods The study included euthymic BD type 1 patients consecutively admitted between July 2023 and July 2024. MetS was diagnosed uaccording to NCEP ATP-III criteria at baseline and after one year. Patients without MetS at baseline were analyzed to evaluate the association between initial clinical characteristics and MetS presence at follow-up through logistic regression. Results A total of 98 patients completed the baseline and follow-up assessments. The prevalence of MetS significantly increased from 29.6% to 51.0% over the 1-year naturalistic follow-up. Initially, there were no significant differences between the groups with and without MetS regarding demographics, illness characteristics, treatment types, comorbidities, and chlorpromazine equivalent dose. By the end of the follow-up period, 29 new MetS cases were diagnosed after excluding those initially identified. This group exhibited higher numbers of total episodes, more manic episodes, and greater hospitalization rates (p = 0.04,-2.067; p = 0.03, -2.193; p = 0.03, -3.207), with no significant differences in other demographic or clinical variables.In the logistic regression analysis, which controlled for age, gender, number of depressive episodes, and the use of lithium and valproate, the equivalent chlorpromazine dose (p = 0.04, OR: 1.003) emerged as a significant predictor of metabolic syndrome, while the number of manic or hypomanic episodes demonstrated a trend towards significance (p = 0.05). Conclusions In conclusion, this study shows that the prevalence of MetS in patients with BD type-1 in Turkey increased from 29.6% to 51.0% over one year. Increased numbers of manic episodes and higher chlorpromazine doses were linked to the development of MetS. This underscores the importance of monitoring metabolic health, especially in patients with frequent manic episodes or high antipsychotic doses. Disclosure of Interest None Declared

European PsychiatryVol. 68(S1)
Selçuk University (TR)
Openalex Percentile: Top 15%
Bipolar Disorder and Treatment
1.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.