scholarly journals Validation of smartphone-based assessments of depressive symptoms using the Remote Monitoring Application in Psychiatry (ReMAP)

2020 ◽  
Author(s):  
Janik Goltermann ◽  
Daniel Emden ◽  
Elisabeth J. Leehr ◽  
Katharina Dohm ◽  
Ronny Redlich ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Affective Disorder ◽  
Remote Monitoring ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Systematic Investigation ◽  
Psychiatric Research ◽  
Depression Severity ◽  
Single Item ◽  
Monitoring Application

Smartphone-based symptom monitoring has gained increased attention in psychiatric research as a cost-efficient tool for prospective and ecologically valid assessments based on participants self-reports. However, a meaningful interpretation of smartphone-based assessments requires knowledge on their psychometric properties; especially their validity. Here, we conducted a systematic investigation of the validity of smartphone-based assessments of affective symptoms by using the smartphone app Remote Monitoring Application in Psychiatry (ReMAP). Beck Depression Inventory (BDI), and single-item mood and sleep information was assessed via the ReMAP app and validated with stationary (non-smartphone) BDI scores and clinician-rated depression severity using the Hamilton Depression Rating Scale (HDRS). We found overall high comparability between smartphone-based and stationary BDI scores (ICC=.921, p<.001, n=173). Smartphone-based BDI further correlated with stationary HDRS ratings of depression severity (r=.783, p<.001, n=51). Higher agreement between smartphone and stationary assessments was found in affective disorder patients as compared to healthy controls, and anxiety disorder patients. Highly comparable agreement between delivery formats was found across age and gender groups. Similarly, smartphone-based single-item self-ratings of mood correlated with BDI sum scores (r=-.538, p<.001, n=168), while smartphone-based single-item sleep duration correlated with the sleep item of the BDI (r=-.310, p<.001, n=166). The present findings demonstrate that smartphone-based monitoring of depressive symptoms via the ReMAP app provides valid assessments of depressive symptomatology and therefore represents a useful tool for prospective digital phenotyping in affective disorder patients in clinical and research applications.

scholarly journals Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study (Preprint)

2020 ◽  
Author(s):  
Janik Goltermann ◽  
Daniel Emden ◽  
Elisabeth Johanna Leehr ◽  
Katharina Dohm ◽  
Ronny Redlich ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Affective Disorder ◽  
Remote Monitoring ◽  
Rating Scale ◽  
Intraclass Correlation ◽  
Psychiatric Research ◽  
Depression Severity ◽  
Single Item ◽  
Self Reports ◽  
Monitoring Application

BACKGROUND Smartphone-based symptom monitoring has gained increased attention in psychiatric research as a cost-efficient tool for prospective and ecologically valid assessments based on participants’ self-reports. However, a meaningful interpretation of smartphone-based assessments requires knowledge about their psychometric properties, especially their validity. OBJECTIVE The goal of this study is to systematically investigate the validity of smartphone-administered assessments of self-reported affective symptoms using the Remote Monitoring Application in Psychiatry (ReMAP). METHODS The ReMAP app was distributed to 173 adult participants of ongoing, longitudinal psychiatric phenotyping studies, including healthy control participants, as well as patients with affective disorders and anxiety disorders; the mean age of the sample was 30.14 years (SD 11.92). The Beck Depression Inventory (BDI) and single-item mood and sleep information were assessed via the ReMAP app and validated with non–smartphone-based BDI scores and clinician-rated depression severity using the Hamilton Depression Rating Scale (HDRS). RESULTS We found overall high comparability between smartphone-based and non–smartphone-based BDI scores (intraclass correlation coefficient=0.921; <i>P</i>&lt;.001). Smartphone-based BDI scores further correlated with non–smartphone-based HDRS ratings of depression severity in a subsample (<i>r</i>=0.783; <i>P</i>&lt;.001; n=51). Higher agreement between smartphone-based and non–smartphone-based assessments was found among affective disorder patients as compared to healthy controls and anxiety disorder patients. Highly comparable agreement between delivery formats was found across age and gender groups. Similarly, smartphone-based single-item self-ratings of mood correlated with BDI sum scores (<i>r</i>=–0.538; <i>P</i>&lt;.001; n=168), while smartphone-based single-item sleep duration correlated with the sleep item of the BDI (<i>r</i>=–0.310; <i>P</i>&lt;.001; n=166). CONCLUSIONS These findings demonstrate that smartphone-based monitoring of depressive symptoms via the ReMAP app provides valid assessments of depressive symptomatology and, therefore, represents a useful tool for prospective digital phenotyping in affective disorder patients in clinical and research applications.

scholarly journals Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study

10.2196/24333 ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e24333
Author(s):  
Janik Goltermann ◽  
Daniel Emden ◽  
Elisabeth Johanna Leehr ◽  
Katharina Dohm ◽  
Ronny Redlich ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Affective Disorder ◽  
Remote Monitoring ◽  
Rating Scale ◽  
Intraclass Correlation ◽  
Psychiatric Research ◽  
Depression Severity ◽  
Single Item ◽  
Self Reports ◽  
Monitoring Application

Background Smartphone-based symptom monitoring has gained increased attention in psychiatric research as a cost-efficient tool for prospective and ecologically valid assessments based on participants’ self-reports. However, a meaningful interpretation of smartphone-based assessments requires knowledge about their psychometric properties, especially their validity. Objective The goal of this study is to systematically investigate the validity of smartphone-administered assessments of self-reported affective symptoms using the Remote Monitoring Application in Psychiatry (ReMAP). Methods The ReMAP app was distributed to 173 adult participants of ongoing, longitudinal psychiatric phenotyping studies, including healthy control participants, as well as patients with affective disorders and anxiety disorders; the mean age of the sample was 30.14 years (SD 11.92). The Beck Depression Inventory (BDI) and single-item mood and sleep information were assessed via the ReMAP app and validated with non–smartphone-based BDI scores and clinician-rated depression severity using the Hamilton Depression Rating Scale (HDRS). Results We found overall high comparability between smartphone-based and non–smartphone-based BDI scores (intraclass correlation coefficient=0.921; P<.001). Smartphone-based BDI scores further correlated with non–smartphone-based HDRS ratings of depression severity in a subsample (r=0.783; P<.001; n=51). Higher agreement between smartphone-based and non–smartphone-based assessments was found among affective disorder patients as compared to healthy controls and anxiety disorder patients. Highly comparable agreement between delivery formats was found across age and gender groups. Similarly, smartphone-based single-item self-ratings of mood correlated with BDI sum scores (r=–0.538; P<.001; n=168), while smartphone-based single-item sleep duration correlated with the sleep item of the BDI (r=–0.310; P<.001; n=166). Conclusions These findings demonstrate that smartphone-based monitoring of depressive symptoms via the ReMAP app provides valid assessments of depressive symptomatology and, therefore, represents a useful tool for prospective digital phenotyping in affective disorder patients in clinical and research applications.

An intervention for depressive symptoms using a commercial game in a mental health impatient setting. (Preprint)

2019 ◽  
Author(s):  
Pablo Rodrigo Guzman Cortez ◽  
Matias Marzocchi ◽  
Neus Freixa Fontanals ◽  
Mercedes Balcells-Olivero
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Health Outcomes ◽  
Serious Games ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Pilot Test ◽  
Potential Health ◽  
Depressive Episodes ◽  
Hamilton Rating Scale

BACKGROUND Computerized mental health interventions have shown evidence of their potential benefit for mental health outcomes in young users. All of the studied interventions available in the review and scientific literature can be classified as "serious games". Serious games are computerized interventions designed from the start with the objective of improving specific desired health outcomes. Moreover, there are reports of users experiencing subjective benefits in mental health after playing specific commercial games. These were games not intentionally made with a therapeutic objective in the design process. An example is the videogame "Journey", first released for the Playstation 3 console in 2012 which won "Game of the Year" in the 2013 D.I.C.E awards. The creator of the game describes the game as a short, 2-3-hour narrative experience in which the player goes through the "Hero's Journey" following a classic 3-part structure. There were more than 100 testimonials from players describing how the game helped them cope with psychological or personal issues. Some of them explicitly described recovering from depressive episodes through playing the game. OBJECTIVE To conduct a pilot test of the efficacy of the videogame Journey in reducing depressive symptoms in an acute impatient setting METHODS Depressive symptomatology was measured before and after the intervention using the Hamilton Rating Scale for Depression (HRSD) The intervention was conducted in an isolated room using a Playstation 3 console with the videogame "Journey" developed by Thatgamecompany. No internet access was allowed. The game was played over the course of 4 30-45 min sessions in a two week period. RESULTS The initial score in the Hamilton Rating Scale for Depression (HRSD) was 30, indicating a very severe depression. After the intervention the HRSD score was 10, showing a mild depression. CONCLUSIONS The Videogame Journey, a commercial game first available for the Playstation 3 console in 2012, was not created as a serious game with potential health benefits. Our pilot test is the first case report of a commercial game showing a potential effect in reducing depressive symptoms, which is consistent with the previous informal reports of users online.

scholarly journals EEG resting-state large-scale brain network dynamics are related to depressive symptoms

2019 ◽  
Author(s):  
Alena Damborská ◽  
Miralena I. Tomescu ◽  
Eliška Honzírková ◽  
Richard Barteček ◽  
Jana Hořínková ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Resting State ◽  
Large Scale ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Network Dynamics ◽  
Brain Network ◽  
Temporal Characteristics ◽  
Microstate Analysis ◽  
Depressive Episodes

AbstractBackgroundThe few previous studies on resting-state EEG microstates in depressive patients suggest altered temporal characteristics of microstates compared to those of healthy subjects. We tested whether resting-state microstate temporal characteristics could capture large-scale brain network dynamic activity relevant to depressive symptomatology.MethodsTo evaluate a possible relationship between the resting-state large-scale brain network dynamics and depressive symptoms, we performed EEG microstate analysis in patients with moderate to severe depression within bipolar affective disorder, depressive episode, and periodic depressive disorder, and in healthy controls.ResultsMicrostate analysis revealed six classes of microstates (A-F) in global clustering across all subjects. There were no between-group differences in the temporal characteristics of microstates. In the patient group, higher symptomatology on the Montgomery-Åsberg Depression Rating Scale, a questionnaire validated as measuring severity of depressive episodes in patients with mood disorders, correlated with higher occurrence of microstate A (Spearman’s rank correlation, r = 0.70, p < 0.01).ConclusionOur results suggest that the observed interindividual differences in resting-state EEG microstate parameters could reflect altered large-scale brain network dynamics relevant to depressive symptomatology during depressive episodes. These findings suggest the utility of the microstate analysis approach in an objective depression assessment.

scholarly journals Impact of Estradiol Variability and Progesterone on Mood in Perimenopausal Women With Depressive Symptoms

2019 ◽  
Vol 105 (3) ◽  
pp. e642-e650 ◽  
Author(s):  
Hadine Joffe ◽  
Anouk de Wit ◽  
Jamie Coborn ◽  
Sybil Crawford ◽  
Marlene Freeman ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Stressful Life Events ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Medical Center ◽  
Academic Medical Center ◽  
Madrs Score ◽  
Increased Risk ◽  
Perimenopausal Women ◽  
Menopause Transition

Abstract Context Women are at increased risk for depressive symptoms during the menopause transition. Changes in estradiol secretion and presence of vasomotor symptoms (VMS) contribute to perimenopausal depressive symptoms, but links with progesterone have not been investigated. Objective To determine whether estradiol variability, ovulatory levels of progesterone, and VMS burden are independently associated with perimenopausal depressive symptomatology. Design and Intervention Depressive symptoms, serum levels of estradiol and progesterone, and VMS frequency were assessed weekly in an 8-week observational study. Association of mood with estradiol variability, ovulatory levels of progesterone, and VMS frequency were estimated using generalized estimating equation models. Setting Academic medical center. Patients Fifty unmedicated perimenopausal women with mild-to-moderate depressive symptoms (mean Montgomery-Åsberg Depression Rating Scale [MADRS] score 15.5 ± 5.3). Main Outcome Measure Depressive symptoms (MADRS score). Results During the study, 90.0% of participants had varying estradiol levels, 51.1% had ovulatory progesterone levels, and 90% had VMS. Greater estradiol variability and absence of progesterone levels consistent with ovulation, but not VMS frequency, are associated with higher levels of depressive symptoms (β = 0.11 [95% confidence interval (95% CI), 0.04 to 0.18; P = 0.001]; β = −2.62 [95% CI, −4.52 to −0.71; P = 0.007], respectively), after accounting for higher body mass index, lifetime history of depression, and stressful life events. Conclusions Increasing dysregulation of ovarian hormones, but not VMS, associates with more depressive symptom burden during perimenopause. These results suggest that perimenopausal mood instability is driven by the underlying hormonal dysregulation of the menopause transition involving changes in both estradiol and progesterone.

Network Analysis of Depressive Symptomatology in Elderly Patients with Major Depressive Disorder

2021 ◽  
Vol 17 ◽  
Author(s):  
Seon-Cheol Park
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Network Analysis ◽  
Depressive Disorder ◽  
Elderly Patients ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Depressive Mood ◽  
Major Depressive ◽  
Using Data

Background: A novel psychopathological approach is the application of network analysis, as it is proposed that symptoms and their interconnections constitute a disease itself, rather than simply being components or outcome factors of disease. Objective: Using data from the Clinical Research Center for Depression (CRESCEND) Study, this study examined depressive symptoms in elderly patients with major depressive disorder using a network analysis approach. Methods: Among 135 elderly patients with major depressive disorder who were recruited from the CRESCEND study, we created a network based on individual items from the Hamilton Depression Rating Scale (HAMD), with the nodes being each item (symptom) and the edges being the strength of the association between the items (interconnection). By calculating measures of centrality of each of the nodes, we were able to determine which depressive symptoms were most central (influential) in the network. Results: The insight item was completely unconnected with other items and it was excluded in terms of network analysis. Thus, a network analysis of the 16 HAMD items estimated that the anxiety psychic item was the most central domain, followed by insomnia (middle of the night), depressive mood, and insomnia (early hours of the morning) items. On the contrary, the retardation item was the most poorly interconnected with the network. Conclusion: We suggest that our study makes a significant contribution to the literature because we have found that anxiety, depressed mood, and insomnia are most central to the network, indicating that they are the most influential symptoms in major depression in elderly individuals.

scholarly journals Depressive symptomatology in hospitalised children

Curationis ◽  
1993 ◽  
Vol 16 (2) ◽  
Author(s):  
M. Rangaka ◽  
C. Rose ◽  
L. Richter
Keyword(s):  
Depressive Symptoms ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Structured Interview ◽  
Self Report ◽  
Coping Responses ◽  
Black South African ◽  
Post Test ◽  
Children's Coping ◽  
Mood Scale

This study was undertaken to determine the extent and nature of depressive symptoms exhibited by black South African children during hospitalisation for orthopaedic procedures. Social factors associated with the risk for depression, in response to hospitalisation, were also examined. Pre- and post-test assessments were conducted on a sample of 30 children aged between 6 and 12 years. The assessment entailed a structured interview, together with the following psychometric instruments: A Global Mood Scale, a Depressive Symptoms Checklist, a Hospital Fears Rating Scale and a Self Report Depression Rating Scale. A large proportion of the children were rated by ward sisters as showing high levels of depressive symptomatology two weeks after admission to hospital. As expected, discrepancies were found between adult and child self-ratings of depression. The results of this study indicate that hospitalisation for orthopaedic child patients is associated with the development of depressive symptomatology. It is suggested that emphasis be placed on the development of supportive programmes and procedures aimed at maximising children's coping responses to hospitalisation, particularly for children who find themselves Isolated from their communities and families, as a result of both centralised health services and poor socio-economic conditions.

scholarly journals Should Unexplained Painful Physical Symptoms be Considered within the Spectrum of Depressive Symptoms?

2015 ◽  
Vol 11 (1) ◽  
pp. 130-139 ◽  
Author(s):  
Jihyung Hong ◽  
Diego Novick ◽  
William Montgomery ◽  
Jaume Aguado ◽  
Héctor Dueñas ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Depressive Symptoms ◽  
Depressive Symptomatology ◽  
Physical Symptoms ◽  
Self Report ◽  
Depression Severity ◽  
Confirmatory Factor Analyses ◽  
Disturbance Factor ◽  
Highly Correlated

Objective: To examine whether painful physical symptoms (PPS) can be considered within the spectrum of depressive symptoms. Methods: Data for this post-hoc analysis were taken from a 6-month observational study mostly conducted in East Asia, Mexico, and the Middle East of 1,549 depressed patients without sexual dysfunction at baseline. Both explanatory and confirmatory factor analyses (EFA and CFA) were performed on the combined items of the 16-item Quick Inventory of Depressive Symptomatology Self-Report and the Somatic Symptom Inventory (seven pain-related items only). An additional second-order CFA was also conducted to examine an association between retained factors and the overall “depressive symptoms” factor. In addition, Spearman’s correlation was used to assess levels of correlation between retained factors and depression severity as well as quality of life. Results: Both EFA and CFA suggested and validated a four-factor solution, which included a pain factor. The other three factors identified were a mood/cognitive factor, a sleep disturbance factor, and an appetite/weight disturbance factor. All four factors were significantly associated with the overall factor of depression. They were also highly correlated to depression severity and quality of life (p<0.001 for all). The levels of correlations with the pain factor were generally greater than those with the appetite/weight factor and similar to those with the sleep factor. Conclusion: It may be reasonable to consider PPS within a broad spectrum of depressive symptoms. At least, they should be routinely assessed in patients with depression. Further research is warranted to validate these preliminary findings.

Dementia and Depression in Elderly Medical Inpatients

2000 ◽  
Vol 12 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Emese Linka ◽  
György Bartkó ◽  
Tamás Agárdi ◽  
Katalin Kemény
Keyword(s):  
Depressive Symptoms ◽  
Major Depression ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Total Sample ◽  
Semistructured Interview ◽  
High Prevalence ◽  
Medical Inpatients ◽  
Dsm Iv ◽  
Hamilton Rating Scale

The purpose of this study was to examine the prevalence and correlation of cognitive impairments, major depression, and depressive symptoms among elderly medical inpatients, and to compare the degree of depressive symptomatology as well as cognitive deterioration in possible vascular dementia and possible Alzheimer's disease. In a department of internal medicine, 100 (36 male, 64 female) 65-year-old or older patients were examined by a semistructured interview, and assessed by the Hachinski Ischemic Scale, the Hamilton Rating Scale for Depression (HDS), and the Modified Mini-Mental State (MMMS) Examination. In our total sample, the MMMS total score was (±SD) 76.0 ± 15.5 and the HDS total score was (±SD) 12.0 ± 6.1. Based on DSM-IV criteria, major depression was established in 11 patients. Deterioration of cognitive functions was seen in 66 patients; cognitive impairment was mild in 30 patients, moderate in 19, and severe in 17. Forty-six patients had mild depressive symptoms and 27 had severe depressive symptoms. In summary, a high prevalence of cognitive dysfunction and depressive symptomatology was detected in our study, illustrating the importance of psychiatric care in elderly medical inpatients.

Early Depressive Symptoms in Cancer Patients Receiving Interleukin 2 and/or Interferon Alfa-2b Therapy

2000 ◽  
Vol 18 (10) ◽  
pp. 2143-2151 ◽  
Author(s):  
Lucile Capuron ◽  
Alain Ravaud ◽  
Robert Dantzer
Keyword(s):  
Depressive Symptoms ◽  
Cancer Patients ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Interleukin 2 ◽  
Interferon Alfa ◽  
Anxiety Symptoms ◽  
High Dose ◽  
Cytokine Therapy ◽  
Melanoma Patients

PURPOSE: Depressive symptomatology is frequently associated with interleukin (IL)-2 and interferon alfa-2b (INFα-2b) therapy in cancer patients. The objective of the present study was to evaluate the depressive and anxiety symptoms induced by IL-2 and/or INFα-2b in cancer patients during the first days of cytokine immunotherapy. PATIENTS AND METHODS: The study included 48 patients with renal cell carcinoma or melanoma. Patients were treated either with subcutaneous IL-2, alone (n = 20) or in combination with INFα-2b (n = 6); or with INFα-2b alone, administered subcutaneously at a low dose (n = 8) or intravenously at a high dose (n = 14). Depressive symptoms were evaluated using the Montgomery and Asberg Depression Rating Scale (MADRS), and anxiety symptoms were evaluated using the Covi scale. Evaluations were performed just before initiation of treatment (day 1) and on days 3 and 5 of treatment. RESULTS: Patients treated with IL-2 alone or in association with INFα-2b had significantly higher MADRS scores after 5 days of cytokine therapy, and patients who received both cytokines had increased scores on day 3. In contrast, patients treated with INFα-2b alone did not have varying MADRS scores during the course of treatment. Cytokine therapy had no effect on anxiety, except in patients treated with IL-2 in combination with INFα-2b. In these patients, the enhancement in anxiety scores that was observed on day 5 was mainly attributable to increased somatic complaints. CONCLUSION: IL-2 and INFα-2b have differential effects on mood, and IL-2 therapy induces depressive symptoms early in treatment.

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