广东省大中学生心理健康与家庭动力关系的典型相关分析  

Canonical Correlation Analysis on Relationships of Family Dynamics and Mental Health for High School and University Students

作　　者：于磊[1] 赵旭东[2] 万崇华[1] 曾伟楠[1] 谭健烽[1] 禹玉兰[1] 曾家勇[1] 

机构地区：[1]广东医学院人文与管理学院生命质量与应用心理研究中心,523808 [2]同济大学医学院人文医学与行为科学教研室

出　　处：《中国卫生统计》2015年第2期251-253,共3页Chinese Journal of Health Statistics

基　　金：国家科技支撑计划(2009BAI77B05);广东医学科技创新基金(STIF201119);广东医学院第五轮重点扶持学科(XZ1111)资助

摘　　要：目的探究家庭动力与广东省大中学生心理健康的相关性。方法以广东省5997名大中学生为研究对象,采用Pearson相关、典型相关来分析系统家庭动力量表中4个维度与SCL-90量表中的10个症状因子的相关性。结果 Pearson相关分析中,家庭气氛、个性化、系统逻辑与SCL-90量表的10个症状因子均成负相关;典型相关分析中得到4对有统计学意义的典型变量,典型相关系数分别是0.33、0.11、0.08、0.07。典型变量V对Y变量集合、W对X变量集合平均解释能力均较弱。家庭气氛、系统逻辑和疾病观念是大中学生心理健康的重要影响因素。结论家庭动力与广东省大中学生心理健康具有相关性,可藉此提出有效的家庭干预策略,改善不良家庭环境,从而提高大中学生心理健康水平。Objective To explore the correlation of family dynamics and mental health of high school and university students in Guangdong. Methods 5997 high school and university students in Guangdong were selected to be the research objects. The correlations between 4 dimensions of Systematic Family Dynamics Inventory and 10 symptom factors of SCL - 90 were analyzed by methods of Pearson correlation and Canonical correlation. Results 10 symptom factors of SCL - 90 appear negative correlations with family atmosphere,individuation and systemic logic in Pearson correlation. Four canonical variables of the canonical correlation were statistically significant, with canonical coefficients being 0. 33,0. 11,0. 08,0. 11, respectively. The average explanations of canonical variable V on Y variable set and canonical variable W on X variable set are weak. Family at-mosphere,individuation and system logic are important influence factors on mental health of adolescents. Conclusion Family dynamics and mental health of high school and university students in Guangdong is correlated. This study provides reference basis to put forward effective family interventions strategy for improving bad family environments, so as to improve students mental health level.

关 键 词：大中学生 家庭动力 心理健康 典型相关 

分 类 号：R195[医药卫生—卫生统计学]