Assessing Mental Health Issues on College Campuses: Preliminary Findings from a Pilot Study

被引:16
作者
Tseng, Vincent W. S. [1 ]
Merrill, Michael [1 ]
Wittleder, Franziska [1 ]
Abdullah, Saeed [1 ]
Aung, Min Hane [1 ]
Choudhury, Tanzeem [1 ]
机构
[1] Cornell Univ, Informat Sci, Ithaca, NY 14853 USA
来源
UBICOMP'16 ADJUNCT: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING | 2016年
关键词
Mental Health; Mobile Sensing; Predictive Modeling; mHealth; Behavioral Intervention; RELIABILITY; SCALE;
D O I
10.1145/2968219.2968308
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A significant fraction of college students suffer from serious mental health issues including depression, anxiety. self-harm and suicidal thought. The prevalence and severity of these issues among college students also appear to increase over time. However, most of these issues often remain undiagnosed. and as a result. untreated. One of the main reasons of this gap between illness and treatment results from the lack of reliable data over time. While health care services in college campuses have been focusing on detection of illness onset and appropriate interventions, their tools are mostly manual surveys which often fail to capture the granular details of contexts and behaviors which might provide important cues about illness onset. To overcome the limitations of these manual tools, we deployed a smartphone based tool or unobtrusive and continuous data collection from 22 students during an academic semester. In this paper. we present the preliminary findings from our study about assessing mental health on college campuses using passively sensed smartphone data.
引用
收藏
页码:1200 / 1208
页数:9
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