Diagnosis of Depressive Disorder Model on Facial Expression Based on Fast R-CNN DOI Creative Commons
Young-Shin Lee, Won-Hyung Park

Diagnostics, Journal Year: 2022, Volume and Issue: 12(2), P. 317 - 317

Published: Jan. 27, 2022

This study examines related literature to propose a model based on artificial intelligence (AI), that can assist in the diagnosis of depressive disorder. Depressive disorder be diagnosed through self-report questionnaire, but it is necessary check mood and confirm consistency subjective objective descriptions. Smartphone-based assistance diagnosing disorders quickly lead their identification provide data for intervention provision. Through fast region-based convolutional neural networks (R-CNN), deep learning method recognizes vector-based information, devised by checking position change eyes lips, guessing emotions accumulated photos participants who will repeatedly participate

Language: Английский

Circadian depression: A mood disorder phenotype DOI
Joanne S. Carpenter, Jacob J. Crouse, Elizabeth Scott

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2021, Volume and Issue: 126, P. 79 - 101

Published: March 7, 2021

Language: Английский

Citations

77
Cohort profile of the longitudinal Netherlands Study of Depression and Anxiety (NESDA) on etiology, course and consequences of depressive and anxiety disorders DOI Creative Commons
Brenda W.J.H. Penninx, Merijn Eikelenboom, Erik J. Giltay

et al.

Journal of Affective Disorders, Journal Year: 2021, Volume and Issue: 287, P. 69 - 77

Published: March 18, 2021

The Netherlands Study of Depression and Anxiety (NESDA, www.nesda.nl) is a longitudinal, multi-site, naturalistic, case-control cohort study set up to examine the etiology, course consequences depressive anxiety disorders. This paper presents profile NESDA. NESDA sample recruited initially 2329 persons with remitted or current DSM-IV based (major disorder, dysthymia) and/or disorder (panic social phobia, agoraphobia, generalized disorder), 367 their siblings 652 healthy controls, yielding total 3348 participants. Half-day face-to-face assessments participants started in 2004 since then have been repeated six times over period 9 years. A 13-year follow-up assessment ongoing, at what time we also recruit offspring Retention rates are generally high, ranging from 87.1% (after 2 years) 69.4% years). Psychiatric diagnostic interviews administered all assessments, as was monitoring clinical characteristics, psychosocial functioning somatic health. Assessed etiological factors include e.g. early environmental risk factors, psychological vulnerability resilience well (neuro)biology through hypothesis-driven biomarker genome-wide large-scale '-omics' neuroimaging assessments. naturalistic design allows research into affective disorders but limited treatment response interpretation. provides strong infrastructure for Its data used many scientific papers describing either NESDA-based analyses joint collaborative consortia-projects, principle available researchers outside consortium.

Language: Английский

Citations

63
Circadian rhythm disorder and anxiety as mental health complications in post-COVID-19 DOI Open Access
Dmytro I. Boiko, A. M. Skrypnikov, Anastasiia D. Shkodina

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(19), P. 28062 - 28069

Published: Jan. 5, 2022

Language: Английский

Citations

56
Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence DOI Creative Commons
Daniel Zarate, Vasileios Stavropoulos, M. Bethany Ball

et al.

BMC Psychiatry, Journal Year: 2022, Volume and Issue: 22(1)

Published: June 22, 2022

This PRISMA systematic literature review examined the use of digital data collection methods (including ecological momentary assessment [EMA], experience sampling method [ESM], biomarkers, passive sensing, mobile ambulatory assessment, and time-series analysis), emphasizing on phenotyping (DP) to study depression. DP is defined as profile health information objectively.Four distinct yet interrelated goals underpin this study: (a) identify empirical research examining depression; (b) describe different technology employed; (c) integrate evidence regarding efficacy in examination, diagnosis, monitoring depression (d) clarify definitions mental records terminology.Overall, 118 studies were assessed eligible. Considering terms employed, "EMA", "ESM", "DP" most predominant. A variety sources reported, including voice, language, keyboard typing kinematics, phone calls texts, geocoded activity, actigraphy sensor-related recordings (i.e., steps, sleep, circadian rhythm), self-reported apps' information. Reviewed employed subjectively objectively recorded combination with interviews psychometric scales.Findings suggest links between a person's Future recommendations include deriving consensus definition expanding consider broader contextual developmental circumstances relation their data/records.

Language: Английский

Citations

52
Association of chronotype, social jetlag, sleep duration and depressive symptoms in Chinese college students DOI Creative Commons
Yang Qu, Tingting Li, Yang Xie

et al.

Journal of Affective Disorders, Journal Year: 2022, Volume and Issue: 320, P. 735 - 741

Published: Oct. 19, 2022

To describe the prevalence of depressive symptoms among Chinese college students and examine relationship between sleep circadian rhythm disruption (SCRD) indicators (chronotype, social jetlag, duration) symptoms.From April to May 2019, College Student Behavior Health Cohort Study was conducted from 2 universities in Anhui Jiangxi provinces. The current study used data third follow-up study. Questionnaire content includes socio-demographic lifestyle information. Social jetlag duration were calculated by answering question about time. Chronotype assessed Morning Evening (MEQ-5). Depressive evaluated Patient 9 (PHQ-9). A Chi-square test proportion symptoms. Multinomial logistic regression model explore associations with symptoms.The mild depression, moderate above depression 18.8 % 6.9 %. types (E-types) short significantly associated depression. Stratified analysis indicated that E-types jetlag≥2 h (OR = 5.67, 95 CI: 1.83-17.51), as well stratified duration<8 5.10, 1.88-13.87).The findings suggest are more severe when multiple SCRD out whack. intervention programs should consider context multidimensional aspects student sleep.

Language: Английский

Citations

43
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study DOI Creative Commons
Yuezhou Zhang, Abhishek Pratap, Amos Folarin

et al.

npj Digital Medicine, Journal Year: 2023, Volume and Issue: 6(1)

Published: Feb. 17, 2023

Abstract Recent growth in digital technologies has enabled the recruitment and monitoring of large diverse populations remote health studies. However, generalizability inference drawn from remotely collected data could be severely impacted by uneven participant engagement attrition over course study. We report findings on long-term retention patterns a multinational observational study for depression containing active (surveys) passive sensor via Android smartphones, Fitbit devices 614 participants up to 2 years. Majority (67.6%) continued remain engaged after 43 weeks. Unsupervised clustering participants’ apps usage showed 3 distinct subgroups each stream. found: (i) least group had highest severity (4 PHQ8 points higher) across all streams; (ii) (completed 4 bi-weekly surveys) took significantly longer respond survey notifications (3.8 h more) were 5 years younger compared most 20 surveys); (iii) considerable proportion (44.6%) who stopped completing surveys 8 weeks share (average 42 weeks). Additionally, multivariate survival models age, ownership brand sites associated with Together these inform design future studies enable equitable balanced collection populations.

Language: Английский

Citations

29
Meeting 24-h movement behavior guidelines is linked to academic engagement, psychological functioning, and cognitive difficulties in youth with internalizing problems DOI
Yanping Gao, Qian Yu, Felipe Barreto Schuch

et al.

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 349, P. 176 - 186

Published: Jan. 6, 2024

Language: Английский

Citations

14
Daily routine disruptions and psychiatric symptoms amid COVID-19: a systematic review and meta-analysis of data from 0.9 million individuals in 32 countries DOI Creative Commons
Huinan Liu, Tiffany Junchen Tao,

Selina Kit Yi Chan

et al.

BMC Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: Feb. 2, 2024

There is currently a deficit of knowledge about how to define, quantify, and measure different aspects daily routine disruptions amid large-scale disasters like COVID-19, which psychiatric symptoms were more related the disruptions. This study aims conduct systematic review meta-analysis on probable positive associations between mental disorders COVID-19 pandemic factors that moderated associations.

Language: Английский

Citations

13
Pharmacological targeting of BMAL1 modulates circadian and immune pathways DOI Creative Commons
Hua Pu, Laura C. Bailey, Ludwig G. Bauer

et al.

Nature Chemical Biology, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Language: Английский

Citations

1
Experienced Burden of and Adherence to Smartphone-Based Ecological Momentary Assessment in Persons with Affective Disorders DOI Open Access
Claire R. van Genugten, Josien Schuurmans, Femke Lamers

et al.

Journal of Clinical Medicine, Journal Year: 2020, Volume and Issue: 9(2), P. 322 - 322

Published: Jan. 23, 2020

(1) Background: The use of smartphone-based ecological momentary assessment (EMA) questionnaires in affective disorder research has rapidly increased. Though, a thorough understanding experienced burden and adherence to EMA is crucial determining the usefulness EMA. (2) Methods: Persons with current disorders (n = 100), remitted persons 190), healthy controls 94) participated two-week monitoring period. Our primary outcomes were (momentary) perceived (3) Results: In whole sample, lower positive higher negative affect associated slightly levels (B −0.23 [95%CI −0.27–0.19], B 0.30 0.24–0.37], respectively). reported (Mdn 1.98 [IQR 1.28–2.57]), than 1.64 1.11–2.24]) 1.28 1.04–1.92]). Nevertheless, still showed very high rates 94.3% 87.9–97.1]), at on par 90.0–97.1]) 90.0–98.6]). (4) Discussion: Frequent mental well-being are more burdensome disorders, but this does not seem have impact adherence. Their rate EMA—which was similar that —suggests it feasible apply (short-duration)

Language: Английский

Citations

54