Risk factors for Parkinson disease and the path analysis: One-to-one paired design  

作　　者：Xianhua Tan 

机构地区：[1]Department of Scientific Research, Shandong Institute of Physical Education, Jinan 250002, Shandong Province, China

出　　处：《Neural Regeneration Research》2007年第2期117-120,共4页中国神经再生研究（英文版）

摘　　要：BACKGROUND： Parkinson disease （PD） results from the reduce of neurotransmitter dopamine that transmits intracellular information in brain caused by some reasons, then leads to the dynamic disequilibrium with another neurotransmitter of acetylcholine which is relatively hyperactive. The main causes for PD are still unclear. OBJECTIVE： To screen out the risk factors of PD by means of univariate analysis and multivariate Logistic regression analysis, and investigate the manner of actions between various factors and PD, so as to provide clues for the etiological study of PD. DESIGN： A paired design, Logistic regression analysis, path analysis. SETTING： Department of Scientific Research, Shandong Institute of Physical Education. PARTICIPANTS： Totally 157 PD patients were selected from the Department of Neurology, Qilu Hospital of Shandong University from November 2001 to October 2002. Inclusive criteria： PD was diagnosed according to the standard set by the Fourth National Seminar on Extrapyramidal Disease, Parkinsonian syndromes caused by stroke, carbon monoxide poisoning, encephalitis, drugs, etc. were excluded. Another 157 patients treated in the same department at the same period were selected as the control group, they were the same in sex as those in the patient group, within 3 years older or younger than those in the patient group, and without PD or other extrapyramidal diseases. METHODS： （1） The general conditions were investigated in all the subjects, including general conditions, social behavioral factor, environmental factor, genetic factor, life events, and previous disease; There were 12 main variables, including educational level, family history, mental labour, contact to insecticides, living place before school-age, smoking index, drinking index, tea-drinking index, history of brain trauma, history of cardiovascular disease, history of diabetes mellitus, and history of depression. （2） SAS6.12 software and SPSS 10.0 software were used in the conditional Logistic regression analyBACKGROUND： Parkinson disease （PD） results from the reduce of neurotransmitter dopamine that transmits intracellular information in brain caused by some reasons, then leads to the dynamic disequilibrium with another neurotransmitter of acetylcholine which is relatively hyperactive. The main causes for PD are still unclear. OBJECTIVE： To screen out the risk factors of PD by means of univariate analysis and multivariate Logistic regression analysis, and investigate the manner of actions between various factors and PD, so as to provide clues for the etiological study of PD. DESIGN： A paired design, Logistic regression analysis, path analysis. SETTING： Department of Scientific Research, Shandong Institute of Physical Education. PARTICIPANTS： Totally 157 PD patients were selected from the Department of Neurology, Qilu Hospital of Shandong University from November 2001 to October 2002. Inclusive criteria： PD was diagnosed according to the standard set by the Fourth National Seminar on Extrapyramidal Disease, Parkinsonian syndromes caused by stroke, carbon monoxide poisoning, encephalitis, drugs, etc. were excluded. Another 157 patients treated in the same department at the same period were selected as the control group, they were the same in sex as those in the patient group, within 3 years older or younger than those in the patient group, and without PD or other extrapyramidal diseases. METHODS： （1） The general conditions were investigated in all the subjects, including general conditions, social behavioral factor, environmental factor, genetic factor, life events, and previous disease; There were 12 main variables, including educational level, family history, mental labour, contact to insecticides, living place before school-age, smoking index, drinking index, tea-drinking index, history of brain trauma, history of cardiovascular disease, history of diabetes mellitus, and history of depression. （2） SAS6.12 software and SPSS 10.0 software were used in the conditional Logistic regression analy

关 键 词：Parkinson disease risk factors Logistic models 

分 类 号：R742.5[医药卫生—神经病学与精神病学]