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早期精神分裂症患者的身体成分、糖尿病前期与心血管疾病风险

Body composition, pre-diabetes and cardiovascular disease risk in early schizophrenia.

作者信息

Strassnig Martin, Clarke Jennifer, Mann Steve, Remington Gary, Ganguli Rohan

机构信息

Department of Psychiatry, Miller School of Medicine, University of Miami, Miami, Florida, USA.

Department of Epidemiology and Biostatistics, Miller School of Medicine, University of Miami, Miami, Florida, USA.

出版信息

Early Interv Psychiatry. 2017 Jun;11(3):229-236. doi: 10.1111/eip.12225. Epub 2015 Mar 10.

Abstract

AIM

This preliminary study examines the relationship between body composition, insulin resistance and NCEP-III-defined cardiovascular disease risk factors in persons early in the course of schizophrenia exposed to commonly prescribed atypical antipsychotic medications.

METHODS

Subjects underwent modified oral glucose tolerance tests (OGTTs) and DEXA (dual X-ray absorptiometry) scans corrected for relevant sociodemographic data, including activity levels. We used linear multiple regression models to evaluate relationships between body composition and metabolic variables.

RESULTS

Thirty-six individuals diagnosed with schizophrenia, receiving atypical antipsychotic monotherapy, and within 5 years of illness onset, participated. Average age was 25.1 ± 3.6 years (range, 19-34) and duration of illness was 2.5 years (30 ± 18 months). Mean body mass index (BMI) was 28.3 ± 4.9, with a mean total body fat mass of 28.6 ± 8.4%, suggesting an increase in fat relative to BMI. Ten participants (28%) had pre-diabetes (fasting glucose 100-126 mg dL or 2-h OGTT 140-200 mg dL ), but no participant had diabetes. Insulin resistance (HOMA-IR) was predicted by total body mass (BMI) more so than by body fat mass, with an incremental contribution derived from antipsychotics. Insulin secretion in response to glucose challenge was predicted by BMI, body fat mass and antipsychotic medication.

CONCLUSIONS

Fat mass relative to BMI was increased in early schizophrenia patients receiving atypical antipsychotics. Body composition accounted for most of the variance in risk for abnormalities in glucose metabolism. Incremental contributions were derived from atypical antipsychotics, in line with their known adipogenicity. If direct fat mass measures are unavailable, frequent BMI measures may be practical proxy markers for metabolic risk.

摘要

目的

本初步研究探讨了在精神分裂症病程早期、服用常用非典型抗精神病药物的患者中,身体成分、胰岛素抵抗与美国国家胆固醇教育计划成人治疗组第三次报告(NCEP-III)定义的心血管疾病风险因素之间的关系。

方法

受试者接受了改良口服葡萄糖耐量试验(OGTT)和双能X线吸收法(DEXA)扫描,并根据包括活动水平在内的相关社会人口统计学数据进行了校正。我们使用线性多元回归模型来评估身体成分与代谢变量之间的关系。

结果

36名被诊断为精神分裂症、接受非典型抗精神病单药治疗且发病5年内的患者参与了研究。平均年龄为25.1±3.6岁(范围19 - 34岁),病程为2.5年(30±18个月)。平均体重指数(BMI)为28.3±4.9,平均全身脂肪量为28.6±8.4%,表明相对于BMI,脂肪有所增加。10名参与者(28%)有糖尿病前期(空腹血糖100 - 126mg/dL或2小时OGTT 140 - 200mg/dL),但没有参与者患有糖尿病。胰岛素抵抗(HOMA-IR)更多地由总体重(BMI)预测,而非身体脂肪量,抗精神病药物也有额外影响。对葡萄糖挑战的胰岛素分泌由BMI、身体脂肪量和抗精神病药物预测。

结论

接受非典型抗精神病药物治疗的早期精神分裂症患者,相对于BMI,其脂肪量增加。身体成分占葡萄糖代谢异常风险差异的大部分。非典型抗精神病药物有额外影响,这与其已知的致脂肪生成作用一致。如果无法进行直接的脂肪量测量,频繁测量BMI可能是代谢风险的实用替代指标。

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