This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1363) Ecological Momentary Assessment (EMA) (309) Anxiety and Stress Disorders (1053)

Published on in Vol 7, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16684, first published .
Causal Factors of Anxiety and Depression in College Students: Longitudinal Ecological Momentary Assessment and Causal Analysis Using Peter and Clark Momentary Conditional Independence

Causal Factors of Anxiety and Depression in College Students: Longitudinal Ecological Momentary Assessment and Causal Analysis Using Peter and Clark Momentary Conditional Independence

Causal Factors of Anxiety and Depression in College Students: Longitudinal Ecological Momentary Assessment and Causal Analysis Using Peter and Clark Momentary Conditional Independence

Authors of this article:

Jeremy F Huckins1 Author Orcid Image ;   Alex W DaSilva1 Author Orcid Image ;   Elin L Hedlund1 Author Orcid Image ;   Eilis I Murphy1 Author Orcid Image ;   Courtney Rogers1 Author Orcid Image ;   Weichen Wang2 Author Orcid Image ;   Mikio Obuchi2 Author Orcid Image ;   Paul E Holtzheimer3, 4 Author Orcid Image ;   Dylan D Wagner5 Author Orcid Image ;   Andrew T Campbell2 Author Orcid Image
Article Authors Cited by (18) Tweetations (5) Metrics

Journals

  1. Mack D, DaSilva A, Rogers C, Hedlund E, Murphy E, Vojdanovski V, Plomp J, Wang W, Nepal S, Holtzheimer P, Wagner D, Jacobson N, Meyer M, Campbell A, Huckins J. Mental Health and Behavior of College Students During the COVID-19 Pandemic: Longitudinal Mobile Smartphone and Ecological Momentary Assessment Study, Part II. Journal of Medical Internet Research 2021;23(6):e28892 View
  2. Lei X, Liu C, Jiang H, Lahiri A. Mental health of college students and associated factors in Hubei of China. PLOS ONE 2021;16(7):e0254183 View
  3. Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 2022;22(10):3893 View
  4. Mullick T, Radovic A, Shaaban S, Doryab A. Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study. JMIR Formative Research 2022;6(6):e35807 View
  5. Shan Y, Ji M, Xie W, Li R, Qian X, Zhang X, Hao T. Interventions in Chinese Undergraduate Students’ Mental Health: Systematic Review. Interactive Journal of Medical Research 2022;11(1):e38249 View
  6. Peltier J, Chennamaneni P, Barber K. Student Anxiety, Preparation, and Learning Framework for Responding to External Crises: The Moderating Role of Self-Efficacy as a Coping Mechanism. Journal of Marketing Education 2022;44(2):149 View
  7. Blanchard M, Contreras A, Kalkan R, Heeren A. Auditing the research practices and statistical analyses of the group-level temporal network approach to psychological constructs: A systematic scoping review. Behavior Research Methods 2022;55(2):767 View
  8. Xu X, Liu X, Zhang H, Wang W, Nepal S, Sefidgar Y, Seo W, Kuehn K, Huckins J, Morris M, Nurius P, Riskin E, Patel S, Althoff T, Campbell A, Dey A, Mankoff J. GLOBEM. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(4):1 View
  9. Griep Y, Hanson L, Leineweber C, Geurts S. Feeling stressed and depressed? A three-wave follow-up study of the beneficial effects of voluntary work. International Journal of Clinical and Health Psychology 2023;23(3):100363 View
  10. Mahadeva Rao U, Zin T, M S, A/L Kanasan J, Bin Afriezul A, Amirah Binti Roslan S, Bt Che Seman N, Mohamad Ali Khan M. Impact of Covid-19 on Mental Health among Medical Students. Research Journal of Pharmacy and Technology 2023:809 View
  11. Walsh A, Naughton G, Sharpe T, Zajkowska Z, Malys M, van Heerden A, Mondelli V. A collaborative realist review of remote measurement technologies for depression in young people. Nature Human Behaviour 2024;8(3):480 View
  12. Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
  13. Tlachac M, Heinz M, Reisch M, Ogden S. Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(1):1 View
  14. Gerhardus A. Characterization of causal ancestral graphs for time series with latent confounders. The Annals of Statistics 2024;52(1) View
  15. Englhardt Z, Ma C, Morris M, Chang C, Xu X, Qin L, McDuff D, Liu X, Patel S, Iyer V. From Classification to Clinical Insights. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(2):1 View
  16. Barac M, Scaletty S, Hassett L, Stillwell A, Croarkin P, Chauhan M, Chesak S, Bobo W, Athreya A, Dyrbye L. Wearable Technologies for Detecting Burnout and Well-Being in Health Care Professionals: Scoping Review. Journal of Medical Internet Research 2024;26:e50253 View

Books/Policy Documents

  1. Alexander A, Siegel S, Chopra M. College Psychiatry. View
  2. Mitchell K. Mental Health and Higher Education in Australia. View