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目的探讨军人社会支持与心身健康和一般情况的回归关系。方法用随机整群取样法,在全军取陆、海、空3865名军人的社会支持、心身健康及一般情况,结果采用主成分回归分析处理。结果社会支持与心身健康呈明显的正相关(P<0.01),心身健康量表各因子及一般情况之间存在多重共线性,经主成分回归分析后得主成分回归参数重组方程,该方程无共线性问题,有显著意义(P<0.001)。结论主成分回归分析能够较好的消除多重共线性问题,主成分回归方程真实地反映了社会支持与心身健康及相关因素间的回归关系。
Objective To explore the regression relationship between military social support and mental and physical health and the general situation. Methods The random cluster sampling method was used to obtain the social support, mental and physical health and general conditions of 3865 military personnel from land, sea and air in the PLA. The results were analyzed by principal component regression. Results There was a significant positive correlation between social support and psychosomatic health (P <0.01). There were multiple collinearities between the factors of psychosomatic health scale and the general situation. After principal component regression analysis, the principal components were regressed to the parametric recombination equation. Linear problems were significant (P <0.001). Conclusion The principal component regression analysis can eliminate the multicollinearity problem better. The principal component regression equation can truly reflect the regression relationship between social support, psychosomatic health and related factors.