背景:過去有關智慧型手機研究，大多是針對一般使用者的現況，對高度使用者之使 用細節瞭解有限。然而智慧型手機高度使用者似乎是最可能受到智慧型手機負面影響的高 危險群。目的:一、增加了解智慧型手機高度使用青少年之使用行為。二、探討智慧型手 機高度使用者在手機使用行為與活力、心理健康指數之相關性，並進一步回答男女性的 手機使用行為與活力及心理健康指數之相關性。方法:立意取樣每天使用手機超過 3 小 時之專科生共得 135 位(男性 87 位，女性 48 位)，調查問卷內容包括個人基本資料、 手機使用行為與台灣版自覺健康量表 (36-Item Short Form Health Survey, SF-36) 中之活 力指數與心理健康指數。使用 SPSS 軟體進行描述性統計、費雪精確性檢定、t 檢定和Spearman 相關係數分析。結果:女專科生每天花在手機附屬功能上的時間顯著高於男專 科生。針對活力指數與心理健康指數方面，男女專科生則無顯著差異。男女專科生在手機 持有時間、平日使用時間、每天通話時間、每天發簡訊時間，和活力指數、心理健康指數 均無顯著相關。但男專科生在假日使用時間和上述兩個指數都有顯著正相關。女專科生則 在花在手機附屬功能上的時間與心理健康指數有顯著負相關。結論:智慧型手機使用對於 男、女專科生在手機使用行為、活力與心理健康指數上，大致上並無顯著差異。但男專科 生在假日使用智慧型手機越久，心理健康與活力程度則越高。而女專科生使用手機附屬功 能越久，心理健康則越差。

Background: There has been much research about the general situation users and very few studies have noted the details of smartphone high frequency users. However, smartphone high frequency users are most likely to have negative impacts. Objective: The aims of this study were to (1) understand the usage behaviors of high frequency adolescent smartphone- users; (2) investigate the correlation among the usage behaviors of high frequency smartphone users, vitality and mental health, and explore the difference in gender. Methods:Purposive sampling was applied. Students were recruited who used smartphone more than three hours a day. 135 students (87 males, 48 females) participated in this study. The contentof questionnaire included the participants’ demographic data, smartphone usage behaviors,and the subtests of the vitality and mental health indexes from the 36-Item Short Form Health Survey. SPSS v.17.0 was applied to analyze the data using descriptive statistics, Fisher exact tests, t-tests and Spearman correlation coefficients. Results: Female students spent moretime on the ancillary functions of smartphone than male students did. There had no signi cantdifferences between male and female students in both vitality and mental health indexes. Theitems ‘Duration of smartphone using’, ‘Hours of using per weekday’, ‘Hours of phoning’, ‘Hours of texting’ were not significantly correlated between male and female to the vitality/mental health indexes. However, there had a signi cantly and positively correlation with the item ‘Hours of using per weekend day’ above both indexes for male students. The item ‘Hours of using ancillary functions’ was significantly and negatively correlated with the mental health indexfor females. Conclusion: There were no signi cant gender differences in smartphone usage,the scores of vitality and mental health indexes. However, male students using smartphones longer on the weekend seemed to have better mental health and vitality. Female students using ancillary functions longer had poorer mental health.