Adolescents’ Daily Perception of Internalizing Emotional States by Means of Smartphone-based Ecological Momentary Assessment

Kirchner, Teresa; Magallón-Neri, Ernesto; Ortíz, Manuel S.; Planellas, Irina; Forns, María; Calderón, Caterina

doi:10.1017/sjp.2017.70

Cited by 9 publications

(7 citation statements)

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“…A higher location variance is related to higher mobility. 4. Number of frequently visited places per day, which is defined as the number of frequently visited places for each day, out of all the frequently visited places identified by the K-means algorithm over the entire study period.…”

Section: Gps Locationmentioning

confidence: 99%

“…Several proof-of-concept studies have highlighted activity changes captured by smartphone sensors, and the usage patterns are associated with depressive symptoms in adult patients with major depressive disorder (MDD) [4,5]. Higher degrees of depression are linked to reduced contact with one's social network, shorter text messages, reduced duration of calls, and less variability in geospatial activity [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

Cao¹,

Truong²,

Banu³

et al. 2020

JMIR Ment Health

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Background Depression carries significant financial, medical, and emotional burden on modern society. Various proof-of-concept studies have highlighted how apps can link dynamic mental health status changes to fluctuations in smartphone usage in adult patients with major depressive disorder (MDD). However, the use of such apps to monitor adolescents remains a challenge. Objective This study aimed to investigate whether smartphone apps are useful in evaluating and monitoring depression symptoms in a clinically depressed adolescent population compared with the following gold-standard clinical psychometric instruments: Patient Health Questionnaire (PHQ-9), Hamilton Rating Scale for Depression (HAM-D), and Hamilton Anxiety Rating Scale (HAM-A). Methods We recruited 13 families with adolescent patients diagnosed with MDD with or without comorbid anxiety disorder. Over an 8-week period, daily self-reported moods and smartphone sensor data were collected by using the Smartphone- and OnLine usage–based eValuation for Depression (SOLVD) app. The evaluations from teens’ parents were also collected. Baseline depression and anxiety symptoms were measured biweekly using PHQ-9, HAM-D, and HAM-A. Results We observed a significant correlation between the self-evaluated mood averaged over a 2-week period and the biweekly psychometric scores from PHQ-9, HAM-D, and HAM-A (0.45≤|r|≤0.63; P=.009, P=.01, and P=.003, respectively). The daily steps taken, SMS frequency, and average call duration were also highly correlated with clinical scores (0.44≤|r|≤0.72; all P<.05). By combining self-evaluations and smartphone sensor data of the teens, we could predict the PHQ-9 score with an accuracy of 88% (23.77/27). When adding the evaluations from the teens’ parents, the prediction accuracy was further increased to 90% (24.35/27). Conclusions Smartphone apps such as SOLVD represent a useful way to monitor depressive symptoms in clinically depressed adolescents, and these apps correlate well with current gold-standard psychometric instruments. This is a first study of its kind that was conducted on the adolescent population, and it included inputs from both teens and their parents as observers. The results are preliminary because of the small sample size, and we plan to expand the study to a larger population.

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Section: Gps Locationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

Cao¹,

Truong²,

Banu³

et al. 2020

JMIR Ment Health

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“…18 EMA allows for the collection of data in real time, and hence it is able to capture behavior changes over time and avoid recall bias. Data that may be obtained through smartphone EMA include self-report of mood as well as daily life behavioral markers, with a focus on immediate, small-scale emotional fluctuations and how they link to behavioral outcomes such as food binges and marijuana, nicotine, and alcohol use, [19][20][21] and even self-harm in borderline personality disorder. EMA differs from standard psychiatric assessment and treatment as symptoms of mental health disorders are typically monitored through clinicianadministered and self-reported rating scales at the time of a visit.…”

Section: What Do Apps Track? the Basics Of Ecological Momentary Asses...mentioning

confidence: 99%

Findings From a Trial of the Smartphone and OnLine Usage-based eValuation for Depression (SOLVD) Application: What Do Apps Really Tell Us About Patients with Depression? Concordance Between App-Generated Data and Standard Psychiatric Questionnaires for Depression and Anxiety

Moukaddam

Truong

Cao

et al. 2019

Journal of Psychiatric Practice

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Objective: Depression imposes a notable societal burden, with limited treatment success despite multiple available psychotherapy and medications choices. Potential reasons may include the heterogeneity of depression diagnoses and the presence of comorbid anxiety symptoms. Despite technological advances and the introduction of many mobile phone applications (apps) claiming to relieve depression, major gaps in knowledge still exist regarding what apps truly measure and how they correlate with psychometric questionnaires. The goal of this study was to evaluate whether mobile daily mood self-ratings may be useful in monitoring and classifying depression symptoms in a clinically depressed population compared with standard psychometric instruments including the Patient Health Questionaire-9 (PHQ-9), the Hamilton Rating Scale for Depression (HAM-D), and the Hamilton Anxiety Rating Scale (HAM-A). Method: For this study, 22 patients with major depressive disorder with or without comorbid anxiety disorder were recruited. The diagnosis of depression was confirmed through the Mini International Neuropsychiatric Interview (MINI). Over an 8-week period, daily moods were self-reported through the Smartphone and OnLine Usage-based eValuation for Depression (SOLVD) application, a custom-designed application that was downloaded onto patients’ mobile devices. Depression and anxiety symptoms were also measured biweekly using the HAM-D, HAM-A, and PHQ-9. Results: Significant correlations were observed among self-evaluated mood, daily steps taken, SMS (text) frequency, average call duration, and biweekly psychometric scores (|r|>0.5, P<0.05). The correlation coefficients were higher in individuals with more severe depressive symptoms. Conclusions: Although this study, given its limited sample size, was exploratory in nature, it helps fill a significant gap in our knowledge of the concordance between ratings obtained on the Ham-D, Ham-A, and the PHQ-9 psychometric instruments and data obtained via a smartphone app. These questionnaires represent gold-standard, commonly used psychiatric research/clinical instruments, and, thus, this information can serve as a foundation for digital phenotyping for depression and pave the way for interventional studies using smartphone applications.

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“…Um estudo realizado na França observou a prevalência de tristeza de 29,8% 28 . Uma pesquisa 29 constatou em seu estudo uma alta proporção de adolescentes que não relatou sentimento de tristeza (80,0%) divergindo com os achados do estudo aqui apresentado.…”

Section: Discussionunclassified

Estilo de vida: saúde mental e comportamento preventivo em adolescentes

Xavier

Santos

et al. 2021

REFACS

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Este é um estudo descritivo, quantitativo e transversal, realizado em escolas de uma cidade do norte de Minas Gerais, Brasil, em 2017, com objetivo de avaliar a percepção de saúde mental e da adoção de comportamento preventivo em jovens escolares. Para a coleta de dados foi utilizado o questionário intitulado “Estilo de Vida do Adolescente Manauara”. Utilizou-se análise descritiva com frequências absolutas e relativas e comparação por meio do teste Qui-quadrado. Participaram 583 alunos da rede pública de ensino, com idades entre 15 e 18 anos, sendo 41,3 % do sexo feminino e 58,7 % do sexo masculino. Quanto à saúde mental dos escolares, 67% das adolescentes e 48,1% dos adolescentes apresentaram nível de estresse alto. 40,2% das jovens e 30,1% dos jovens demonstraram percepção de saúde satisfatória. Em contrapartida, os escolares apresentaram resultados negativos quanto ao uso de preservativos, destacando a quantidade de escolares que às vezes ou nunca usaram: 31,5% dos adolescentes e 25,4% das adolescentes. Sugere-se ações de educação em saúde na escola e pelo próprio setor saúde com vistas a melhor estilo de vida em adolescentes.

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Adolescents’ Daily Perception of Internalizing Emotional States by Means of Smartphone-based Ecological Momentary Assessment

Cited by 9 publications

References 50 publications

Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

Findings From a Trial of the Smartphone and OnLine Usage-based eValuation for Depression (SOLVD) Application: What Do Apps Really Tell Us About Patients with Depression? Concordance Between App-Generated Data and Standard Psychiatric Questionnaires for Depression and Anxiety

Estilo de vida: saúde mental e comportamento preventivo em adolescentes

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