# Prevalence and risk profiles of metabolic abnormalities (PRIMA): a large-scale, multicenter cross-sectional study among inpatients with schizophrenia in China

**Authors:** Xuemei Liao, Liyun Zheng, Hongyi Li, Xiaobing Lu, Xixiang Mao, Ying Sun, Dongdong Qiao, Yanchi Zhang, Ning Yuan, Chao Li, Yuanjian Yang, Zhiyong Ren, Xiaohong Li, Baoliang Zhong, Gang Wu, Lina Wang, Yunshu Zhang, Jianliang Gao, Yujuan Ma, Yongqing Huang, Guangya Zhang, Yong Qin, Haihang Yu, Cheng Luo, Jiaqi Bao, Hongguang Chen, Tianmei Si

PMC · DOI: 10.1186/s12888-026-07912-6 · 2026-02-20

## TL;DR

This study finds that most hospitalized schizophrenia patients in China have metabolic issues, with social and medical factors increasing the risk.

## Contribution

The study provides the first large-scale data on metabolic abnormalities in hospitalized schizophrenia patients in mainland China.

## Key findings

- 84.51% of patients had at least one metabolic abnormality, with 28.2% meeting criteria for metabolic syndrome.
- Olanzapine was most strongly linked to metabolic abnormalities, while ziprasidone was least associated.
- High-risk profiles included social disadvantage, illness burden, and lifestyle factors.

## Abstract

Metabolic abnormalities are prevalent among individuals with schizophrenia, contributing to increased medical burden and premature mortality. However, representative data from mainland China remain scarce, particularly within inpatient populations. This study aims to investigate the prevalence and risk profiles of metabolic abnormalities among inpatients with schizophrenia in mainland China.

We conducted a large-scale, multicenter cross-sectional study, consecutively enrolling adult inpatients with schizophrenia from 218 psychiatric and general hospitals across six major regions of China between January and December 2023. Metabolic abnormalities were defined according to standard clinical criteria for waist circumference, blood pressure, serum lipids, and fasting glucose. Chi-square tests and ordinal logistic regression analyses were used to identify high-risk profiles.

A total of 18,499 valid cases were analyzed, with 84.51% of patients exhibiting at least one metabolic abnormality. The overall metabolic syndrome prevalence was 28.2%, with marked regional variation (17.2%–48.4%). Patients with metabolic abnormalities were more likely to have a later age at onset, co-occurring depressive symptoms, unhealthy lifestyle behaviors, marital history or unemployment, lower educational attainment, and a family history of cardiometabolic disorders. Among commonly used atypical antipsychotics, olanzapine showed the strongest association with metabolic abnormalities (OR = 1.21, 95% CI: 1.04–1.40), whereas ziprasidone showed the weakest (OR = 0.71, 95% CI: 0.54–0.93).

In China, hospitalized patients with schizophrenia exhibit a high prevalence of metabolic abnormalities. Social disadvantage, greater illness burden, and exposure to commonly prescribed atypical antipsychotics characterize high-risk profiles, informing efforts toward early identification and integrated preventive interventions.

Not applicable.

## Linked entities

- **Diseases:** schizophrenia (MONDO:0005090), metabolic syndrome (MONDO:0000816)

## Full-text entities

- **Diseases:** metabolic abnormalities (MESH:D008659), schizophrenia (MESH:D012559)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13032252/full.md

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Source: https://tomesphere.com/paper/PMC13032252