Evidence map›Paper›PMID 41326415›Full record

ArticleSchizophrenia (Heidelberg, Germany)2025

Prevalence and associated factors of metabolic syndrome in patients with schizophrenia: a multicenter cross-sectional study in China.

Zhengluan Liao, Junjie Lin, Yaguan Zhou, Suhong Ye, Haihang Yu, Xilong Jin, Lixiu Wei, Guidong Zhu, Zhiyong Lan, Kedeng Fu and 19 more

Abstract read
In one paragraph

Article in Schizophrenia (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Zhengluan Liao *Department of Psychiatry, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China.
Junjie Lin *School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yaguan ZhouSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Suhong YeJinhua Second Hospital, Jinhua, Zhejiang, China.
Haihang YuThe Affiliated Kangning Hospital of Ningbo University, Ningbo, Zhejiang, China.
Xilong JinHuzhou Third Municipal Hospital, Huzhou, Zhejiang, China.
Lixiu WeiDepartment of Psychiatry, Yongkang Third People's Hospital, Jinhua, Zhejiang, China.
Guidong ZhuThe Second People's Hospital of Lishui, Lishui, Zhejiang, China.
Zhiyong LanThe Third Hospital of Quzhou, Quzhou, Zhejiang, China.
Kedeng FuNingbo Psychiatric Hospital, Ningbo, Zhejiang, China.
Tiantian ZuDepartment of Psychiatry, The Fourth People's Hospital of Haining, Jiaxing, Zhejiang, China.
Li NiDepartment of Psychiatry, The Third People's Hospital of Fuyang, Hangzhou, China.
Yingying DongDepartment of Psychiatry, Shaoxing Seventh People's Hospital, Shaoxing, Zhejiang, China.
Heqiu WangTongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China.
Yong ZhouDepartment of Psychiatry, Kangci Hospital of Jiaxing, Jiaxing, Zhejiang, China.
Wei LvThe Affiliated Kangning Hospital of Wenzhou Medical University, Zhejiang Provincial Clinical Research Center for Mental Disorder, Wenzhou, Zhejiang, China.
Juan HuangDepartment of Psychiatry, Zhuji Fifth People's Hospital, Shaoxing, Zhejiang, China.
Hongfei WangHuangyan Third People's Hospital, Taizhou, Zhejiang, China.
Xueming XuTaizhou Second People's Hospital, Taizhou, Zhejiang, China.
Xiao QianDepartment of Psychiatry, Shengzhou Fifth People's Hospital, Shengzhou, Zhejiang, China.
Wanzhen WuZhejiang Hospital, Hangzhou, Zhejiang, China.
Liying LiuDepartment of Behavioral Medicine, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang, China.
Huabin LiuThe Fourth People's Hospital of Jiangshan, Quzhou, Zhejiang, China.
HuanPing ZhanThe Second People's Hospital of Zhoushan, Zhoushan, Zhejiang, China.
Yanbo ChenAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zhilian PiThe Fourth People's Hospital of Jiande City, Hangzhou, Zhejiang, China.
Minghua XieHangzhou Public Security Bureau Ankang Hospital, Hangzhou, Zhejiang, China.
Xiaolin XuSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. xiaolin.xu@zju.edu.cn.ORCID http://orcid.org/0000-0002-8203-9878
Enyan YuDepartment of Psychiatry, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China. yuenyan@aliyun.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 72474197
6 · The paper itself

Abstract

Metabolic syndrome (MetS) is highly prevalent among individuals with schizophrenia. However, substantial regional variation exists, and evidence from large samples of hospitalized patients in China remains limited. This study aimed to estimate the prevalence of MetS and to explore its associated factors among individuals with schizophrenia in China. We included 3042 participants with schizophrenia from 25 hospitals in Zhejiang Province from April to December 2022. MetS was defined according to the Chinese Diabetes Society (CDS) criteria, the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria, and the International Diabetes Federation (IDF) criteria. The prevalence of MetS was estimated using the Clopper-Pearson method, and generalized additive models were used to fit smoothed age-specific prevalence curves. Multivariate logistic regression was used to explore potential factors associated with MetS. The overall prevalence of MetS was 34.9% (95% confidence interval [CI]: 33.2-36.7%), 42.6% (40.9-44.4%), and 38.9% (37.2-40.7%) based on the CDS, NCEP ATP III, and IDF criteria, respectively. The prevalence of MetS was significantly higher in female participants with schizophrenia compared to their male counterparts when applying the NCEP ATP III or IDF criteria. In addition, after reaching the age-specific peak, MetS prevalence declined in male participants but stabilized in females. High BMI (OR: 1.30 [1.27-1.33]) and comorbid endocrine diseases (OR: 1.79 [1.48-2.17]) were associated with increased odds of MetS. Metabolic syndrome is highly prevalent among individuals with schizophrenia, regardless of the diagnostic criteria used. Early identification and screening of metabolic abnormalities in individuals with schizophrenia should be considered.

Identifiers

PMID41326415
PMCPMC12775019

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.