口岸检出HIV感染者危险因素的结构方程模型分析

    吴海磊1，钱吉生1，张纯1，丁永健2，陆永昌2，尹军2

    1.南京出入境检验检疫局卫食处，江苏 南京 211106；2.江苏出入境检验检疫局

    摘要：目的 研究HIV感染的直接、间接影响因素，探索其对HIV感染影响程度。方法以口岸检出的HIV感染者和非HIV感染者各133例为研究对象，以年龄、性别、国籍、文化程度、职业、劳务史、输血史、吸毒史、性伴侣数、是否有同性伴侣、不洁性生活史、是否为HIV感染者为显变量，以人口特征、社会因素、行为因素作为隐变量，构造结构方程模型。结果人口特征、社会因素和行为因素存在直接效应和间接效应影响，间接效应主要体现在不洁性生活史、性伴侣数和文化程度的作用。隐变量对HIV感染影响程度的排序依次为行为因素、人口特征和社会因素，同时三者之间两两有关联。结论显变量对隐变量有直接与间接效应的双重作用，隐变量之间又存在相互关联，共同影响着HIV感染。

    关键词：艾滋病病毒感染者；结构方程模型；危险因素；流行病学

    中图分类号： R512.91　文献标识码： B

    The study of structural equation modeling ofHIV carriers found at ports

    WU Hai-lei*，QIAN Ji-sheng，ZHANG Chun，DINGYong-jian, LU Yong-chang, YIN Jun

    *Department of Public Health, NanjingEntry-exit Inspection and Quarantine Bureau, Nanjing, Jiangsu211106,China

    Abstract:   Objective  To construct a structural equation modeling (SEM) of HIV carriersfound at ports，and to study the direct and indirect acting factorsof HIV infection and their attribution level. Methods   The epidemiologic feature of 133 HIV carriersfound in ports was analyzed. The data of another 133 personswithout HIV were also used for building SEM. The observed variablesincluded age, gender, nationality, educational level, occupation,history of labor, sexual activity without protection, gay or not,number of sex partner, history of drug taking or blood transfusion.The latent variables included population characteristics, socialfactor or behavioral factor.  Results   Thepopulation characteristics, social factor or behavioral factor haddirect and indirect effect. The variables with indirect effectincluded sexual activity without protection, number of sex partnerand educational level. The important rank of latent variables wasbehavioral factor, population characteristics and social factor,and there were associations among each of them.  Conclusions   The observed variables had the direct andindirect effect on latent variables for HIV carriers, and therewere associations among each of latent variables.

    Key words:   Human immunodeficiencyvirus carrier; Structural equation modeling; Risk factor;Epidemiology