COVID-19 Information

Publications

67

Klein, R. J.,* Jacobson, N.C. & Robinson, M.D. (2022, In press). A Psychological Flexibility Perspective on Well-Being Emotional Reactivity, Adaptive Choices, and Daily Experiences. Emotion.

 

66 Jacobson, N.C. & Feng, B.Y.* (2022, In press). Digital Phenotyping of Generalized Anxiety Disorder: Using Artificial Intelligence to Accurately Predict Symptom Severity Using Wearable Sensors in Daily Life. Translational Psychiatry.

 

65 Nemesure, M.D.*, Streltzov, N., Schommer, L.M. Lekkas, D.*, Jacobson, N.C. & Bujarski, K.A. (2022, In press). Predictive Modeling of Suicidal Ideation in Patients with Epilepsy. Epilepsia.

 

64 Greenberg JL, Jacobson NC, Hoeppner SS, Bernstein EE, Snorrason I, Schwartzberg A, Steketee G, Phillips KA, Wilhelm S. (2022, In press). Early Response to Cognitive Behavioral Therapy for Body Dysmorphic Disorder as a Predictor of Outcomes. Journal of Psychiatric Research.

 

63 Zarate, D., Stavropoulos, V., Ball, M., de Sena Collier, G., Jacobson, N.C.(2022, In press). Exploring the Digital Footprint of Depression: A PRISMA Systematic Literature Review of the Empirical Evidence. BMC Psychiatry.

 

62 Marsch, L. A. Chen, C., Adams, S.R., Asyyed, A., Does, M. B. Hassanpour, S., Hichborn, E., Jackson-Morris, M., Jacobson, N.C., Jones, H.K., Kotz, D., Lambert-Harris, CA., Li, Z., McLeman, B., Mishra, V., Stanger, C., Subramaniam, G., Wu, W., and Campbell, C.I. (2022, In press). The feasibility and utility of harnessing digital health to understand clinical trajectories in medication treatment for Opioid Use Disorder: D-TECT Study Design and Methodological Considerations. Frontiers in Psychiatry. https://doi.org/10.3389/fpsyt.2022.871916
61 Hart, A., Rais, D., Prestele, E. & Jacobson, N.C. (2022, In press). Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants' Well-being: Ecological Momentary Assessment. Journal of Medical Internet Research (JMIR).https://doi.org/10.2196/34015

 

60 Klein, R.J.,* Gyorda, J.A.*, & Jacobson, N.C. (2022, In press). Anxiety, depression, and substance experimentation in childhood. PLOS One. https://doi.org/10.1371/journal.pone.0265239

 

59 Heinz, M.V.*, Price, G.*, Ruan, F.*, Klein, R.J.*, Nemesure, M.*, Lopez, A.,* & Jacobson, N.C. (2022, In press). Association of Selective Serotonin Reuptake Inhibitor Use With Abnormal Physical Movement Patterns as Detected Using a Piezoelectric Accelerometer and Deep Learning in a Nationally Representative Sample of Noninstitutionalized Persons in the US. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2022.5403

 

58 Klein, R.J.,* Nguyen, N.,* Gyorda, J.A.*, & Jacobson, N.C. (2022, In press) Adolescent emotion regulation and future psychopathology: A prospective transdiagnostic analysis. Journal of Research on Adolescence. https://doi.org/10.1111/jora.12743

 

57 Jacobson, N.C., Chen, W.*, Huang, R.* (2022, in press) Standalone Apps for Anxiety and Depression Show Promising Early Efficacy: A Commentary on Meta-Analytic Results. Meta-Psychology. doi:https://doi.org/10.31234/osf.io/v48w9

 

56 Fitzsimmons-Craft, E.E., Chan, W.S., Smith, A.C., Firebaugh, M., Fowler, L.A., DePietro, B., Topooco, N., Wilfley, D.E., Taylor, C.B., & Jacobson, N.C.(2022, In press). Effectiveness of a chatbot for eating disorders prevention: A randomized clinical trial. International Journal of Eating Disorders. https://doi.org/10.1002/eat.23662

 

55 Chan, W.W., Fitzsimmons-Craft, E.E., Smith, A.C., Firebaugh, M., Fowler, L.A., DePietro, B.; Topooco, N., Taylor, C.B., & Jacobson, N.C. (2022, In press). Challenges in Designing a Mental Health Prevention Chatbot: Lessons Learned from the Field. Journal of Medical Internet Research (JMIR). https://doi.org/10.2196/28003

 

54 Jacobson, N. C. & Bhattacharya, S.* (2021, In press). Digital Biomarkers of Anxiety Disorder Symptom Changes Personalized Deep Learning Models Using Smartphone Sensors Accurately Predict Anxiety Symptoms from Ecological Momentary Assessments. Behaviour Research and Therapy. https://doi.org/10.1016/j.brat.2021.104013

 

53 Lekkas, D.*, Gyorda, J.A.*, Price, G.D.*,Wortzman, Z.*, & Jacobson, N.C. 2021, In press). The Language of the Times: Using the COVID-19 Pandemic to Assess the Influence of News Affect on Online Mental Health-Related Search Behavior across the United States. Journal of Medical Internet Research (JMIR). https://doi.org/10.2196/32731

 

52 Ollier, J., Neff, S., Dworschak, C., Sejdiji, A., Santhanam, P., Keller, R., Xiao, G., Asisof, A., Rüegger, D., Bérubé, C., Hilfiker, L., Neff, J., Yao, J., Alattas, A., Varela-Mato, V., Pitkethly, A., Dolores Vara, M., Herrero, R., Mª Baños, R., Parada, C., Sundaram Agatheswaran, R., Villalobos, V., Clare Keller, O., Sze Chan, W., Mishra, V., Jacobson, N.C., Stanger, C., He, X., Von Wyl, V., Weidt, S., Haug, S., Patrick Schaub, M., Kleim, B., Barth, J., M. Witt, C., Scholz, U., Fleisch, E., von Wangenheim, F., Tudor Car, L., Müller-Riemenschneider, F., Hauser-Ulrich, S., Núñez Asomoza, A., Salamanca-Sanabria, A., Louise Mair, J., & Kowatsch, T., (2021, In press) Elena+ Care for COVID-19, A Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2021.625640

 

51 Lekkas, D.*, Price, G.* & Jacobson, N.C. (2021, In press). Using Smartphone App Use and Lagged-Ensemble Machine Learning for the Prediction of Work Fatigue and Boredom. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2021.107029

 

50 Lekkas, D.*, Price, G.*, McFadden, J.* & Jacobson, N. C. (2021, In press). The Application of Machine Learning to Online Mindfulness Intervention Data: A Primer and Empirical Example in Compliance Assessment. Mindfulness. https://doi.org/10.1007/s12671-021-01723-4

 

49 Teepe, G.W., Fonseca, A.D., Kleim, B., Jacobson, N.C., Sanabria, A.S., Car, L.T, Fleisch, E., & Kowatsch, T. (2021, In press). Just-in-time Adaptive Mechanisms of Popular Mobile Applications for Individuals with Depression: Systematic Review. Journal of Medical Internet Research (JMIR). https://doi.org/10.2196/29412

 

48 Lekkas, D.*, Klein, R. J.*, & Jacobson, N.C. (2021, in press). Predicting Acute Suicidal Ideation on Instagram Using Ensemble Machine Learning Models. Internet Interventions. https://doi.org/10.1016/j.invent.2021.100424

 

47 Jacobson, N.C., Evey, K.J., Wright, A.G.C, & Newman, M.G. (2021, in press). Integration of Discrete and Global Structures of Affect Across Three Large Samples: Specific Emotions Within-Persons and Global Affect Between-Persons. Emotion. https://doi.org/10.1037/emo0001022

 

46 Newman, M. G., Kanuri, N., Rackoff, G., Jacobson, N.C., Jones, M., & Taylor, C. B. (2021, in press). A Randomized Controlled Feasibility Trial of Internet-Delivered Guided Self-Help for Generalized Anxiety Disorder (GAD) Among University Students in India. Psychotherapy, 58, 591-601. https://doi.org/10.1037/pst0000383

 

45 Lekkas, D.* & Jacobson, N.C. (2021, in press). Using Artificial Intelligence and Longitudinal Location Data to Differentiate Persons who Develop Posttraumatic Stress Disorder Following Childhood Trauma. Scientific Reports, 11. https://doi.org/10.1038/s41598-021-89768-2

 

44 Mack, D., DaSilva, A., Rogers, C., Hedlund, E. L., Murphy, E. I., Vojdanovski, V., Plomp, J., Wang, W., Nepal, S., Holtzheimer, P.E., Wagner, D.D., Jacobson, N.C., Meyer, M.L., Campbell, A.T., & Huckins, J. F. (2021, in press). Mental Health and Behavior of College Students in the COVID-19 Pandemic: A Longitudinal Mobile Smartphone and Ecological Momentary Assessment Study - Part II. Journal of Medical Internet Research (JMIR). https://doi.org/10.2196/28892

 

43 Yom-Tov, E., Lekkas, D.*, & Jacobson, N. C.. (2021, in press). Association of COVID19-induced Anosmia and Ageusia with Depression and Suicidal Ideation. Journal of Affective Disorders Reports. https://doi.org/10.1016/j.jadr.2021.100156

 

42 Sofis, M.J., Lemley, S.M., Jacobson, N.C., & Budney, A.J. (2021, in press). Initial Evaluation of Domain-Specific Episodic Future Thinking on Delay Discounting and Cannabis Use. Experimental and Clinical Psychopharmacology. https://doi.org/10.1037/pha0000501

 

41 Shin, K., Newman, M.G., & Jacobson, N.C. (in press). Emotion Network Density as a Potential Clinical Marker: Comparison of Ecological Momentary Assessment and Daily Diary. British Journal of Clinical Psychology. https://doi.org/10.1111/bjc.12295

 

40 Fitzsimmons-Craft, E. E., Taylor, C. B., Newman, M. G., Zainal, N. H., Rojas-Ashe, E., Lipson, S. K., Firebaugh, M., Ceglarek, P., Topooco, N., Jacobson, N. C., Graham, A. K., Kim, H. M., Eisenberg, D., & Wilfley, D. E. (in press). Harnessing mobile technology to reduce mental health disorders in college populations: A randomized controlled trial study protocol. Contemporary Clinical Trials. https://doi.org/10.1016/j.cct.2021.106320

 

39 Barr, P.J., Ryan, J, & Jacobson, N.C. (2021, In press). Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings. Journal of Medical Internet Research (JMIR).https://doi.org/10.2196/20545

 

38 Jacobson, N.C., Lekkas, D.*, Huang, R.*, & Thomas, N.* (2021). Deep Learning Paired with Wearable Passive Sensing Data Predicts Deterioration in Anxiety Disorder Symptoms across 17-18 Years. Journal of Affective Disorders, 282, 104-111. https://doi.org/10.1016/j.jad.2020.12.086

 

37 Nemesure, M.D*, Heinz, M. V.*, Huang, R.* & Jacobson, N. C. (2021). Predictive Modeling of Psychiatric Illness using Electronic Medical Records and a Novel Machine Learning Approach with Artificial Intelligence. Scientific Reports. https://doi.org/10.1038/s41598-021-81368-4

 

36 Jacobson, N.C. & Nemesure, M.D.* (2021). Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from A Transdiagnostic Randomized Controlled Trial. Psychiatry Research. https://doi.org/10.1016/j.psychres.2020.113618

 

35 Meyer, N., Joyce, D. W., Karr, C., Dijk, D.J., Jacobson, N.C. & MacCabe, J. (2020, In press). The Temporal Dynamics of Sleep Disturbance and Psychopathology in Psychosis: A Digital Sampling Study. Psychological Medicine. https://doi.org/10.1017/S0033291720004857

 

34 Jacobson, N.C., Yom-Tov, E., Lekkas, D.*, Heinz, M.*, Liu, L.*, Barr, P.J. (2020, In press). Impact of Online Mental Health Screening Tools on Help-Seeking, Care Receipt, and Suicidal Ideation and Suicidal Intent: Evidence from Internet Search Behavior in a Large U.S. Cohort. Journal of Psychiatric Research. https://doi.org/10.1016/j.jpsychires.2020.11.010

 

33 Dosovitsky, G., Pineda, B., Chang, C., Jacobson, N.C. & Bunge, E.L. (2020, In press). Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage. JMIR Formative Research, 4, e17065. https://doi.org/10.2196/17065

 

32 Newman, M. G., Jacobson, N.C., Rackoff, G. N., Jones, M., & Taylor, C. B. (2020, In press). A randomized controlled trial of a smartphone-based application for the treatment of anxiety. Psychotherapy Research. https://doi.org/10.1080/10503307.2020.1790688

 

31 Sofis, M. J., Pike, C.K, Jacobson, N.C., Liu, L.*, Budney, A.J., Borodovsky, J.T. (2020, In press). Sifting Through the Weeds: Differential Relationships Between Cannabis Use Frequency Measures and Delay Discounting. Addictive Behaviors. https://doi.org/10.1016/j.addbeh.2020.106573

 

30 Jacobson, N. C. & Chung, Y.J.* (2020, In press). Passive Sensing of Prediction of Moment-to-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample using Smartphones. Sensors, 20, 3572. http://dx.doi.org/10.3390/s20123572

 

29 Nelson, B. W., Low, C., Jacobson, N. C., Areán, P., Torous, J., & Allen, N.B.(2020). Guidelines for Wrist-Worn Consumer Wearables Assessment of Heart Rate in Biobehavioral Research. npj Digital Medicine, 3, 90. https://doi.org/10.1038/s41746-020-0297-4

 

28 Jacobson, N.C., Lekkas, D.*, Price, G.P.*, Heinz, M.V.*, Song, M.*, O’Malley, A.J. & Barr, P.J. (2020). Flattening the Mental Health Curve: COVID-19 Stay-at-Home Orders Are Associated With Alterations in Mental Health Search Behavior in the United States, JMIR Mental Health, 7, e19347. http://dx.doi.org/10.2196/19347

 

27 Lord, K.A.*, Jacobson, N. C., Suvak, M., & Newman, M. G. (2020). Social Criticism Moderates the Relationship Between Anxiety and Depression 10 Years Later. Journal of Affective Disorders, 1, 15-22. http://dx.doi.org/10.1016/j.jad.2020.05.030

 

26 Jacobson, N. C., Summers B., & Wilhelm, S. (2020). Digital Biomarkers of Social Anxiety Symptom Severity: Digital Phenotyping using Passive Smartphone Sensors. Journal of Medical Internet Research (JMIR), 22, e16875. http://dx.doi.org/10.2196/16875

 

25 Jacobson, N.C. Bentley, K. H., Walton, A., Wang, S.B., Fortgang, R.G., Millner, A.J. Coombs, G. C., Rodman, A.M., Coppersmith, D.D.L. (2020). Ethical Dilemmas Created by Mobile Health and Machine Learning within Research in Psychiatry. Bulletin of the World Health Organization, 98, 270-276. http://dx.doi.org/10.2471/BLT.19.237107

 

24 Wilhelm, S., Weingarden, H., Ladis, I. Braddick, V., Shin, J. & Jacobson, N.C.(2020). Cognitive Behavioral Therapy in the Digital Age: Presidential Address. Behavior Therapy, 1, 1-14. http://dx.doi.org/10.1016/j.beth.2019.08.001

 

23 Jacobson, N.C. & O'Cleirigh, C.M. (2019, in press). Objective Digital Phenotypes of Worry Severity, Pain Severity, and Pain Chronicity in Persons Living with HIV. The British Journal of Psychiatry.http://dx.doi.org/10.1192/bjp.2019.168

 

22 Jacobson, N.C., Weingarden, H., & Wilhelm, S. (2019). Using Digital Phenotyping to Accurately Detect Depression Severity. Journal of Nervous and Mental Disease, 207, 893-896. http://dx.doi.org/10.1097/NMD.0000000000001042

 

21 Jacobson, N.C., Weingarden, H., & Wilhelm, S. (2019). Digital Biomarkers of Mood Disorders and Symptom Change. Nature Partner Journal (npj): Digital Medicine, 2, 1-2. http://dx.doi.org/10.1038/s41746-019-0078-0

 

20 Newman, M. G., Jacobson, N. C., Zainal, N. H., Shin, K. E., Szkodny, L. E., Sliwinski, M. J. (2019). The effects of worry in daily life: An ecological momentary assessment study supporting the tenets of the Contrast Avoidance Model. Clinical Psychological Science, 7, 794-810.http://dx.doi.org/10.1177/2167702619827019

 

19 Jacobson, N. C., Chow, S. M., & Newman, M.G. (2019). The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing optimal measurement and modeling intervals in intensive longitudinal data. Behavior Research Methods, 51, 295-315. http://dx.doi.org/10.3758/s13428-018-1101-0

 

18 Jacobson, N. C. & Roche, M. J. (2018). Current evolutionary adaptiveness of anxiety: Extreme phenotypes of anxiety predict increased fertility across multiple generations. Journal of Psychiatric Research, 106, 82-90.http://dx.doi.org/10.1016/j.jpsychires.2018.10.002

 

17 Roche, M. J, Jacobson, N. C., & Phillips. J. (2018). Expanding the validity of the Level of Personality Functioning Scale Observer-Report and Self-Report versions across psychodynamic and interpersonal paradigms. Journal of Personality Assessment, 100, 571-580. http://dx.doi.org/10.1080/00223891.2018.1475394

 

16 Ji, L., Chow, S. M., Schermerhorn, A. C., Jacobson, N. C. & Cummings, M. (2018). Handling missing data in the modeling of intensive longitudinal data. Structural Equation Modeling, 25, 715-736. http://dx.doi.org/10.1080/10705511.2017.1417046

 

15 Roche, M.J. & Jacobson, N.C. (2018). Elections have consequences for student mental health: An accidental daily diary study. Psychological Reports. 122, 451–464. http://dx.doi.org/10.1177/0033294118767365

 

14 Newman, M.G., LaFreniere, L.S., & Jacobson, N.C. (2018). Relaxation-induced anxiety: Effects of peak and trajectories of change on treatment outcome for generalized anxiety disorder. Psychotherapy Research, 68, 616-629. http://dx.doi.org/10.1080/10503307.2016.1253891

 

13 Jacobson, N. C. & Newman. M. G. (2017). Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies. Psychological Bulletin, 143, 1155-1200. http://dx.doi.org/10.1037/bul0000111 (Winner of the College of the Liberal Arts Raymond Lombra Graduate Student Award for the Excellence in Research in the Social Sciences, Pennsylvania State University; Winner Best Research Paper Award in Psychology, Pennsylvania State University).

 

12 Frank, B., Jacobson, N. C., Hurley, L. & McKay, D (2017). A theoretical and empirical modeling of anxiety integrated with RDoC and temporal dynamics. Journal of Anxiety Disorders, 51, 39-46.http://dx.doi.org/10.1016/j.janxdis.2017.09.002

 

11 Jacobson, N. C., Lord, K. A.*, & Newman, M. G. (2017). Perceived emotional social support in bereaved spouses mediates the relationship between anxiety and depression. Journal of Affective Disorders, 211, 83-91.http://dx.doi.org/10.1016/j.jad.2017.01.011

 

10 Roche, M. J., Jacobson, N. C., & Roche, C. A. (2017). Teaching strategies for personality assessment at the undergraduate level. Journal of Personality Assessment, 99, 117-125. http://dx.doi.org/10.1080/00223891.2016.1147450

 

9 Jacobson, N. C. (2016). Current evolutionary adaptiveness of psychiatric disorders: Fertility rates, parent−child relationship quality, and psychiatric disorders across the lifespan. Journal of Abnormal Psychology, 125, 824-839. http://dx.doi.org/10.1037/abn0000185

 

8 Newman, M. G., Jacobson, N. C., Erickson, T. M., & Fisher, A. J. (2016). Interpersonal problems predict differential response to cognitive versus behavioral treatment in a randomized controlled trial. Behavior Therapy, 48, 56-68. http://dx.doi.org/10.1016/j.beth.2016.05.005

 

7 Roche, M. J., Jacobson, N. C., & Pincus, A. L. (2016). Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM–5 alternative model of personality disorders. Journal of Abnormal Psychology, 125, 1090-1102. http://dx.doi.org/10.1037/abn0000177

 

6 Jacobson, N. C., Newman, M. G., & Goldfried, M. R. (2016). Clinical feedback about empirically supported treatments for obsessive-compulsive disorder. Behavior Therapy, 47, 75-90. http://dx.doi.org/10.1016/j.beth.2015.09.003

 

5 Jacobson, N. C. & Newman, M.G. (2016). Perceptions of close and group relationships mediate the relationship between anxiety and depression over a decade later. Depression and Anxiety, 33, 66-74.http://dx.doi.org/10.1002/da.22402

 

4 Newman, M. G., Castonguay, L.G., Jacobson, N.C. & Moore, G. (2015). Adult attachment as a moderator of treatment outcome for GAD: Comparison between CBT plus supportive listening and CBT plus interpersonal and emotional processing therapy. Journal of Consulting and Clinical Psychology, 83, 915-925. http://dx.doi.org/10.1037/a0039359

 

3 Jacobson, N. C., & Newman, M. G. (2014). Avoidance mediates the relationship between anxiety and depression over a decade later. Journal of Anxiety Disorders, 28, 437-445. http://dx.doi.org/10.1016/j.janxdis.2014.03.007

 

2 Jacobson, N. C., Kramer, S. L., Tharp, A. G., Harmon, K. A., Cejas, G. P., & Costa, S. C. (2013). Deficits of encoding in hypnosis: A result of altered state of awareness. American Journal of Clinical Hypnosis, 55, 360-369. http://dx.doi.org/10.1080/00029157.2012.696286

 

1 Jacobson, N. C. Kramer, S., Tharp, A., Costa, S., & Hawley, P. (2011). The effects of encoding under hypnosis and post-hypnotic suggestion on academic performance. American Journal of Clinical Hypnosis, 53, 247-254. http://dx.doi.org/10.1080/00029157.2011.10404354  (Winner: Clark L. Hull Award for Scientific Excellence in Writing on Experimental Hypnosis from the American Journal of Clinical Hypnosis).