190,691 research outputs found

    Understanding and Measuring Psychological Stress using Social Media

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    A body of literature has demonstrated that users' mental health conditions, such as depression and anxiety, can be predicted from their social media language. There is still a gap in the scientific understanding of how psychological stress is expressed on social media. Stress is one of the primary underlying causes and correlates of chronic physical illnesses and mental health conditions. In this paper, we explore the language of psychological stress with a dataset of 601 social media users, who answered the Perceived Stress Scale questionnaire and also consented to share their Facebook and Twitter data. Firstly, we find that stressed users post about exhaustion, losing control, increased self-focus and physical pain as compared to posts about breakfast, family-time, and travel by users who are not stressed. Secondly, we find that Facebook language is more predictive of stress than Twitter language. Thirdly, we demonstrate how the language based models thus developed can be adapted and be scaled to measure county-level trends. Since county-level language is easily available on Twitter using the Streaming API, we explore multiple domain adaptation algorithms to adapt user-level Facebook models to Twitter language. We find that domain-adapted and scaled social media-based measurements of stress outperform sociodemographic variables (age, gender, race, education, and income), against ground-truth survey-based stress measurements, both at the user- and the county-level in the U.S. Twitter language that scores higher in stress is also predictive of poorer health, less access to facilities and lower socioeconomic status in counties. We conclude with a discussion of the implications of using social media as a new tool for monitoring stress levels of both individuals and counties.Comment: Accepted for publication in the proceedings of ICWSM 201

    God and the Machine: A Correlational Study on Mobile Phone Dependence, Religious Coping, and Mental Health

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    Research on the various effects of mobile phones did not begin to be published until after they had already been integrated into society. To date, the results of various studies looking into the relationship between mobile phone use and mental health demonstrate that phones, if used in problematic ways, have negative effects on mental health. Even so, there are no studies looking into problematic mobile phone use and how it correlates with spirituality and positive religious coping as well as mental health. Due to this gap in the research, this anonymous online study was designed to look into correlations between problematic cell phone use, positive religious coping, and mental health. The Adapted Cell Phone Addiction Test (ACPAT) was used to assess problematic cell phone use, the Religious Coping Activities Scales (RCOPE) were used to assess positive religious coping, and the Depression Anxiety Stress Scales (DASS-42) were used to assess mental health

    Examining the differences between university students' levels of resilience on mindfulness, psychological distress and coping strategies

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    University students can face numerous stressors which can contribute to the development of psychological distress shown to be associated with decreasing completion and retention issues throughout Australian universities (Willcoxson, Cotter, & Joy, 2011). A positive predictor and outcome of successful student coping and adjustment to university and retention outcomes is resilience, the ability to cope in difficult situations and bounce back from adversity. Mindfulness has also been shown to be promote resilience. The present study examined differences in psychological distress, mindfulness, and coping strategies (adaptive vs. maladaptive) in university students (N = 122) with high and low levels of resilience. The results of a one-way MANOVA were consistent with hypotheses, revealing higher resilience scores were associated with greater mindfulness, higher adaptive coping scores, lower maladaptive coping, and reduced psychological distress. Students in the low resilience group were also found to have significantly lower levels of mindfulness, higher levels of psychological distress, reduced use of adaptive coping, and greater use of maladaptive coping, when compared to students with high resilience levels. Overall, findings of the current study are consistent with previous research and highlight the potential benefit of mindfulness-based coping interventions to foster resilience in university students

    From Patient to Student Activation: Development of the Student Activation Measure

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    The Patient Activation Measure (PAM) was constructed to measure a person’s knowledge, skill, and confidence for self-managing one’s healthcare, or “activation” (Hibbard, Stockard, Mahoney, & Tusler, 2004). The Student Activation Measure (SAM) extends this definition to secondary education. The SAM is a short, positively worded measure that is intended to guide intervention planning. Six hundred three students from two disparate high schools located in the Pacific Northwest completed the measure and an accompanying demographic questionnaire. The respective schools provided the students’ GPAs and attendance records. Using Rasch modeling, the SAM evidenced excellent reliability and construct validity. One-way ANOVAs with post hoc Scheffe’s tests showed that higher SAM scores had significantly higher GPAs, fewer absences, increased time spent on homework, and less time spent on social media or playing video games. Overall, the SAM showed promise as both a research and intervention tool. In addition, the concept of activation has the added benefits of ease of measurement and bridges the gap between evidence-based practices in medicine and secondary education. Further research is needed to understand the properties of the SAM when used with students diagnosed with learning impairing disorders such as ADHD

    A Voice is Worth a Thousand Words: The Implications of the Micro-Coding of Social Signals in Speech for Trust Research

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    While self-report measures are often highly reliable for field research on trust (Mayer and Davis, 1999), subjects often cannot complete surveys during real time interactions. In contrast, the social signals that are embedded in the non-linguistic elements of conversations can be captured in real time and extracted with the assistance of computer coding. This chapter seeks to understand how computer-coded social signals are related to interpersonal trust

    Factors Correlating with Resilience in Bolivian Street Girls

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    Resilience is defined as the ability to respond adaptively and maintain a high quality of life even after adversity or trauma. Research conducted in Western cultures has identified multiple factors that correlate with resilience for survivors of childhood trauma, including social support, the presence of a stable adult, internal locus of control, supportive spiritual beliefs and lack of self-blame regarding the trauma (Crenshaw, 2013; Brooks & Goldstein, 2004; Goldstein, Brooks, & Devries, 2013). This study explored whether the factors that previous research has identified as predictive of resilience have a similar predictive value when applied to another culture. This research found that the presence of a stable adult, social support, supportive spiritual beliefs and a minimal amount of self-blame all correlated with resilience in the examined population of adolescent Bolivian street girls. However, no correlation was found between internal locus of control and resilience among this population. Implications of these findings and suggestions for further research are discussed
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