Associations between smartphone keystroke metadata and mental health symptoms in adolescents: findings from the future proofing study
- Braund, Taylor, O'Dea, Bridianne, Bal, Debopriyo, Maston, Kate, Larsen, Mark, Werner-Seidler, Aliza, Tillman, Gabriel, Christensen, Helen
- Authors: Braund, Taylor , O'Dea, Bridianne , Bal, Debopriyo , Maston, Kate , Larsen, Mark , Werner-Seidler, Aliza , Tillman, Gabriel , Christensen, Helen
- Date: 2023
- Type: Text , Journal article
- Relation: JMIR Mental Health Vol. 10, no. (2023), p.
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- Description: Background: Mental disorders are prevalent during adolescence. Among the digital phenotypes currently being developed to monitor mental health symptoms, typing behavior is one promising candidate. However, few studies have directly assessed associations between typing behavior and mental health symptom severity, and whether these relationships differs between genders. Objective: In a cross-sectional analysis of a large cohort, we tested whether various features of typing behavior derived from keystroke metadata were associated with mental health symptoms and whether these relationships differed between genders. Methods: A total of 934 adolescents from the Future Proofing study undertook 2 typing tasks on their smartphones through the Future Proofing app. Common keystroke timing and frequency features were extracted across tasks. Mental health symptoms were assessed using the Patient Health Questionnaire-Adolescent version, the Children's Anxiety Scale-Short Form, the Distress Questionnaire 5, and the Insomnia Severity Index. Bivariate correlations were used to test whether keystroke features were associated with mental health symptoms. The false discovery rates of P values were adjusted to q values. Machine learning models were trained and tested using independent samples (ie, 80% train 20% test) to identify whether keystroke features could be combined to predict mental health symptoms. Results: Keystroke timing features showed a weak negative association with mental health symptoms across participants. When split by gender, females showed weak negative relationships between keystroke timing features and mental health symptoms, and weak positive relationships between keystroke frequency features and mental health symptoms. The opposite relationships were found for males (except for dwell). Machine learning models using keystroke features alone did not predict mental health symptoms. Conclusions: Increased mental health symptoms are weakly associated with faster typing, with important gender differences. Keystroke metadata should be collected longitudinally and combined with other digital phenotypes to enhance their clinical relevance. ©Taylor A Braund, Bridianne O'Dea, Debopriyo Bal, Kate Maston, Mark Larsen, Aliza Werner-Seidler, Gabriel Tillman, Helen Christensen.
- Authors: Braund, Taylor , O'Dea, Bridianne , Bal, Debopriyo , Maston, Kate , Larsen, Mark , Werner-Seidler, Aliza , Tillman, Gabriel , Christensen, Helen
- Date: 2023
- Type: Text , Journal article
- Relation: JMIR Mental Health Vol. 10, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Mental disorders are prevalent during adolescence. Among the digital phenotypes currently being developed to monitor mental health symptoms, typing behavior is one promising candidate. However, few studies have directly assessed associations between typing behavior and mental health symptom severity, and whether these relationships differs between genders. Objective: In a cross-sectional analysis of a large cohort, we tested whether various features of typing behavior derived from keystroke metadata were associated with mental health symptoms and whether these relationships differed between genders. Methods: A total of 934 adolescents from the Future Proofing study undertook 2 typing tasks on their smartphones through the Future Proofing app. Common keystroke timing and frequency features were extracted across tasks. Mental health symptoms were assessed using the Patient Health Questionnaire-Adolescent version, the Children's Anxiety Scale-Short Form, the Distress Questionnaire 5, and the Insomnia Severity Index. Bivariate correlations were used to test whether keystroke features were associated with mental health symptoms. The false discovery rates of P values were adjusted to q values. Machine learning models were trained and tested using independent samples (ie, 80% train 20% test) to identify whether keystroke features could be combined to predict mental health symptoms. Results: Keystroke timing features showed a weak negative association with mental health symptoms across participants. When split by gender, females showed weak negative relationships between keystroke timing features and mental health symptoms, and weak positive relationships between keystroke frequency features and mental health symptoms. The opposite relationships were found for males (except for dwell). Machine learning models using keystroke features alone did not predict mental health symptoms. Conclusions: Increased mental health symptoms are weakly associated with faster typing, with important gender differences. Keystroke metadata should be collected longitudinally and combined with other digital phenotypes to enhance their clinical relevance. ©Taylor A Braund, Bridianne O'Dea, Debopriyo Bal, Kate Maston, Mark Larsen, Aliza Werner-Seidler, Gabriel Tillman, Helen Christensen.
Emotional functioning in children and adolescents with elevated depressive symptoms
- Hughes, Elizabeth, Gullone, Eleonora, Watson, Shaun
- Authors: Hughes, Elizabeth , Gullone, Eleonora , Watson, Shaun
- Date: 2011
- Type: Text , Journal article
- Relation: Journal of Psychopathology and Behavioral Assessment Vol. 33, no. 3 (2011), p. 335-345
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- Description: Difficulties with emotion and its regulation are of central importance to the etiology and course of depression. The current study investigated these constructs in relation to childhood and adolescence by comparing the emotional functioning of 170 9- to 15-year-olds reporting high levels of depressive symptoms (HD) to a matched sample of 170 children and adolescents reporting low levels of depressive symptoms (LD). Compared to LD, HD participants reported significantly greater shame proneness, poorer functioning on emotion regulation competencies (emotional control, self-awareness and situational responsiveness), less healthy emotion regulation strategy use (less reappraisal and greater suppression), and lower levels of guilt proneness. Empathic concern did not differ between the two groups. The findings enhance current knowledge by providing a more comprehensive profile of the emotional difficulties experienced by children and adolescents with elevated depressive symptoms. © 2011 Springer Science+Business Media, LLC.
- Authors: Hughes, Elizabeth , Gullone, Eleonora , Watson, Shaun
- Date: 2011
- Type: Text , Journal article
- Relation: Journal of Psychopathology and Behavioral Assessment Vol. 33, no. 3 (2011), p. 335-345
- Full Text:
- Reviewed:
- Description: Difficulties with emotion and its regulation are of central importance to the etiology and course of depression. The current study investigated these constructs in relation to childhood and adolescence by comparing the emotional functioning of 170 9- to 15-year-olds reporting high levels of depressive symptoms (HD) to a matched sample of 170 children and adolescents reporting low levels of depressive symptoms (LD). Compared to LD, HD participants reported significantly greater shame proneness, poorer functioning on emotion regulation competencies (emotional control, self-awareness and situational responsiveness), less healthy emotion regulation strategy use (less reappraisal and greater suppression), and lower levels of guilt proneness. Empathic concern did not differ between the two groups. The findings enhance current knowledge by providing a more comprehensive profile of the emotional difficulties experienced by children and adolescents with elevated depressive symptoms. © 2011 Springer Science+Business Media, LLC.
Sense of belonging and depressive symptoms among GLB adolescents
- McCallum, Claire, McLaren, Suzanne
- Authors: McCallum, Claire , McLaren, Suzanne
- Date: 2011
- Type: Text , Journal article
- Relation: Journal of Homosexuality Vol. 58, no. 1 (2011), p. 83-96
- Full Text: false
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- Description: Research has indicated that gay, lesbian, and bisexual (GLB) adolescents are at an increased risk of mental health problems. Research has also indicated that experiencing a sense of belonging is important for one's mental health. This study investigated sense of belonging to the general community and sense of belonging to a GLB specific youth group (Minus18) as predictors of depressive symptoms among self-identified GLB adolescents (N = 99). Participants completed the Sense of Belonging Instrument and Center for Epidemiologic Studies Depression Scale. Results showed that although sense of belonging to the general community and sense of belonging to the Minus18 community were both directly related to depression, only sense of belonging to the general community contributed significantly to the prediction of depression when they were entered simultaneously in a regression analysis. Results also showed that sense of belonging to the general community mediated the relation between sense of belonging to the Minus18 community and depression. These findings suggest that interventions aimed at increasing sense of belonging to a GLBspecific community are likely to be of indirect benefit to the mental health of GLB adolescents, whereas interventions aimed at increasing sense of belonging to the general community are likely to be of direct benefit to the mental health of GLB adolescents. © Taylor & Francis Group, LLC.
- Description: Research has indicated that gay, lesbian, and bisexual (GLB) adolescents are at an increased risk of mental health problems. Research has also indicated that experiencing a sense of belonging is important for one's mental health. This study investigated sense of belonging to the general community and sense of belonging to a GLB specific youth group (Minus18) as predictors of depressive symptoms among self-identified GLB adolescents (N = 99). Participants completed the Sense of Belonging Instrument and Center for Epidemiologic Studies Depression Scale. Results showed that although sense of belonging to the general community and sense of belonging to the Minus18 community were both directly related to depression, only sense of belonging to the general community contributed significantly to the prediction of depression when they were entered simultaneously in a regression analysis. Results also showed that sense of belonging to the general community mediated the relation between sense of belonging to the Minus18 community and depression. These findings suggest that interventions aimed at increasing sense of belonging to a GLBspecific community are likely to be of indirect benefit to the mental health of GLB adolescents, whereas interventions aimed at increasing sense of belonging to the general community are likely to be of direct benefit to the mental health of GLB adolescents. © Taylor & Francis Group, LLC.
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