Gebhardt Stefan, Haberhausen Michael, Heinzel-Gutenbrunner Monika, Gebhardt Nadine, Remschmidt Helmut, Krieg Jürgen-Christian, Hebebrand Johannes, Theisen Frank M
Department of Psychiatry and Psychotherapy, University of Marburg, Rudolf-Bultmann-Str. 8, D-35033 Marburg, Germany.
J Psychiatr Res. 2009 Mar;43(6):620-6. doi: 10.1016/j.jpsychires.2008.11.001. Epub 2008 Dec 24.
To explore the impact of premorbid and baseline body mass indices (BMIs) as well as BMI of patient's parents and associated variables on the prediction of antipsychotic-induced body weight gain.
Retrospective/cross-sectional data of 65 patients receiving clozapine, olanzapine and/or risperidone were assessed according to a systematic categorization of the long-term (7.3+/-9.2 years) weight course and evaluated using descriptive, explorative correlation and regression analyses.
Increased values of parents' BMI (p=0.041) and patients' BMI at premorbid stage (p=0.039) and prior to first antipsychotic treatment (p=0.032) as well as female gender (p=0.012), younger age (p=0.005) and non-smoking (p=0.047) have the most predictive value on body weight gain under antipsychotic treatment including pre-treatment with typical antipsychotics. Weight gain under atypical antipsychotics (pre-treatment excluded) is predicted by an increased premorbid BMI (p=0.019). Conversely, a low BMI prior to first antipsychotic treatment predicts a higher acceleration of BMI change (p=0.008) in vulnerable individuals, but not total BMI change itself. Furthermore, a diagnosis of a schizophrenia spectrum disorder showed a trend towards the prediction of an increased atypical DeltaBMI (p=0.067), possibly due to a longer treatment duration with atypical antipsychotics (p<0.001).
The study indicates increased parents' BMI and patients' premorbid BMI, female gender, younger age and - as a trend - the diagnosis of a schizophrenia spectrum disorder to be predictors for antipsychotic-induced body weight gain involving atypical antipsychotics. Data contribute to the assumption of a strong impact of predispositional factors on weight gain, besides treatment-related factors.
探讨病前及基线体重指数(BMI)以及患者父母的BMI及相关变量对预测抗精神病药物所致体重增加的影响。
根据长期(7.3±9.2年)体重变化过程的系统分类,对65例接受氯氮平、奥氮平和/或利培酮治疗的患者的回顾性/横断面数据进行评估,并采用描述性、探索性相关性和回归分析进行评价。
父母BMI值升高(p=0.041)、患者病前阶段BMI值升高(p=0.039)以及首次抗精神病药物治疗前BMI值升高(p=0.032),以及女性(p=0.012)、年龄较小(p=0.005)和不吸烟(p=0.047),对包括使用典型抗精神病药物进行预处理在内的抗精神病药物治疗下的体重增加具有最大预测价值。非典型抗精神病药物治疗下(排除预处理)的体重增加可通过病前BMI升高来预测(p=0.019)。相反,首次抗精神病药物治疗前BMI较低预示着易感个体的BMI变化加速较高(p=0.008),但不是BMI总变化本身。此外,精神分裂症谱系障碍的诊断显示出预测非典型DeltaBMI升高的趋势(p=0.067),可能是由于使用非典型抗精神病药物的治疗时间较长(p<0.001)。
该研究表明,父母BMI升高、患者病前BMI升高、女性、年龄较小以及精神分裂症谱系障碍的诊断(呈趋势性)是涉及非典型抗精神病药物的抗精神病药物所致体重增加的预测因素。除治疗相关因素外,这些数据支持了易患因素对体重增加有强烈影响的假设。