ABSTRACT

From October to December 2016, a college sample (n = 536) of men (41%) and women (59%) 18 to 41 years old (M = 20.2 SD = 3.02) completed self-report surveys that assessed mental and behavioral health using a novel, mobile app called SHAPE. Multiple methods (e.g., flyers, face-to-face, e-mail, listservs) were used to recruit students. Almost half (48%) of the sample reported feeling down or depressed. Sleep and alcohol use were associated with decreased mood (r = 0.44, p < .0001 and r = 0.14, p = .05, respectively). Moderate physical activity had the largest magnitude of effect on mood, stress, and sleep (ranging from r = 0.11 to r = 0.15, p < .01). Results suggest that mobile app surveys can capture sensitive, time-relevant mental, and behavioral health data. These findings indicate that mobile apps can be used for surveillance of emerging and existing mental health needs that can be used to inform intervention and prevention efforts.

摘要

从 2016 年 10 月至 2016 年 12 月，18 至 41 岁 (M = 20.2 SD = 3.02) 的男性 (41%) 和女性 (59%) 的大学样本 (n = 536) 完成了评估心理和行为健康的自我报告调查使用名为 SHAPE 的新颖移动应用程序。多种方法（例如，传单、面对面、电子邮件、列表服务）被用来招收学生。几乎一半（48%）的样本报告感到沮丧或沮丧。睡眠和饮酒与情绪下降有关（分别为 r = 0.44，p < .0001 和 r = 0.14，p = .05）。适度的体育活动对情绪、压力和睡眠的影响最大（范围从 r = 0.11 到 r = 0.15，p< .01)。结果表明，移动应用调查可以捕获敏感的、与时间相关的心理和行为健康数据。这些发现表明，移动应用程序可用于监测新出现的和现有的心理健康需求，从而为干预和预防工作提供信息。