目標:採討高中生在班級中人際網絡位置與吸菸行為的相關性。方法:針對台北市一所綜合高中一年級男女合班的學生,利用自行發展的社會網絡問卷,以全班集體填答方式收集資料。應用KrackPlot3.2及Ucinet5社會網絡分析軟體,描繪同班學生之人際網絡,並以Logistic Regerssion驗證人際網絡位置與吸菸行為的關聯性。結果:高中生在其班級中人際網絡位置可分為三種類型:小團體成員、團體外圍者及孤立者。班別、網絡位置與學生的吸菸行為有關係,且具交互作用。以班別比較,職業班學生的吸菸勝算比是普通班學生的6.82倍;以網絡位置比較,孤立者的吸菸算比是小團體成員的2.96倍。相反地,職業班孤立者的吸菸勝算卻比小團體成員低,為其0.09倍。結論:班級中人際網絡位置與吸菸行為有關,且因班級類別而有差異,此結果可提供進一步探討同儕影響機轉及趼擬菸害防制教育的參考。
Objectives: Social network analysis was applied to examine whether high school students who fill various social positions that characterize peer group structure differ in prevalence of smoking. Methods: Using a set of structured questionnaires, two hundred and seventy four (274) students in a comprehensive high school named their seven best friends. KrackPlot3.2 and Ucinet 5 were applied to map and analyze the social network. Logistic regression analysis was applied to test the relationship between sex, class type, social network position and smoking behavior. Results: The peer network position was mapped clearly allowing the identification of each adolescent as a clique member, clique outsider, or isolated. The class type and social network position had an interaction on smoking behavior. For occupation class students, compared with academic class students, the odds ratio of smoking was 6.82. The odds ratio of isolated adolescents compared with clique members, was 2.96. But for isolated adolescents in the occupation class, the odds ratio of smoking was 0.09, compared with clique members. Conclusions: Peer social network position and class type were important factors simultaneously influencing adolescent smoking. Social network analysis is a promising method for measuring it. Its implication for research and intervention are considered.
為了持續優化網站功能與使用者體驗,本網站將Cookies分析技術用於網站營運、分析和個人化服務之目的。
若您繼續瀏覽本網站,即表示您同意本網站使用Cookies。