Digital phenotypes for mindfulness and anxiety found by smartphone app

Authors

DOI:

https://doi.org/10.17765/2176-9206.2023v16n1.e11196

Keywords:

Mindfulness, Mobile applications, Anxiety, Reaction time, Telemedicine

Abstract

Research in telemedicine has made it possible to capture regulatory measures to find biomarkers of human behavior during smartphone use called digital phenotypes. The identification and evaluation of these biomarkers for health diagnosis provide gains for an area related to telemedicine, precision medicine. It was developed a mobile application called Neuropesquisa, which has features to find these biomarkers while users complete psychological scales for mental health. The aim was to correlate mindfulness, anxiety and reaction time, and track possible digital phenotypes of users. It was carried out an observational study, with a correlational, cross-sectional and remote design with 364 adults, through Neuropesquisa. This study found positive and significant correlations between mindfulness and reaction time, and negative and positive correlations between anxiety and reaction time. It was concluded that Neuropesquisa was able to identify digital phenotypes among the considered constructs, of relevant importance for precision medicine and mental health.

Downloads

Download data is not yet available.

Author Biographies

Danilo Andrade de Meneses, Universidade Federal da Paraíba - UFPB

Biólogo e Doutorando em Neurociência Cognitiva e Comportamento(PPGNeC) pela Universidade Federal da Paraíba (UFPB). Mestre em História das ciências, das técnicas e epistemologia(HCTE) pela Universidade Federal do Rio de Janeiro (UFRJ), Brasil.

Joel Jonathan Carvalho Tavares, Universidade Federal da Paraíba - UFPB

Mestrado em Neurociência Cognitiva e Comportamento pela Universidade Federal da Paraíba (UFPB). Colaborador no projeto Neurosaúde: Neurociência e Prevenção de Estresse para a Comunidade (UFPB) e pesquisador no Laboratório de Ecologia Comportamental e Psicobiologia (LECOPSI).

Raíssa Ester Maia Monteiro, Universidade Federal da Paraíba - UFPB

Doutoranda em Neurociência Cognitiva e Comportamento pela Universidade Federal da Paraíba (UFPB). Mestre em Ciências Sociais pela Universidade Federal de Campina Grande. Advogada.

Luiz Carlos Serramo Lopez, Universidade Federal da Paraíba - UFPB

Doutorado pela Universidade Federal do Rio de Janeiro (UFRJ). Professor adjunto da Universidade Federal da Paraíba (UFPB) onde coordena o Laboratório de Ecologia Comportamental e Psicobiologia. Pesquisador colaborador do programa "Mente Aberta" de pesquisa e extensão em mindfulness da Unifesp. Orientador credenciado no Programa de Pós-graduação em Neurociência Cognitiva e Comportamento (PPGNeC) e da UFPB, João Pessoa (PB), Brasil.

References

Hjelm NM. Benefits and drawbacks of telemedicine. J Telemed Telecare. 2005;11(2):60-70. doi: https://doi.org/10.1258/1357633053499886

Hollander JE, Carr BG. Virtually Perfect? Telemedicine for Covid-19. N Engl J Med. 2020 Apr 30;382(18):1679-81. doi: https://doi.org/10.1056/NEJMp2003539

Straczkiewicz M, James P, Onnela JP. A systematic review of smartphone-based human activity recognition methods for health research. Npj Digit Med. 2021 Oct 18;4(1):1-15. doi: https://doi.org/10.1038/s41746-021-00514-4

Pastor N, Khalilian E, Caballeria E, Morrison D, Luque US, Matrai S, et al. Remote Monitoring Telemedicine (REMOTE) Platform for Patients With Anxiety Symptoms and Alcohol Use Disorder: Protocol for a Case-Control Study. JMIR Res Protoc. 2020 Jun 24;9(6):e16964. doi: https://doi.org/10.2196/16964

Ball DC, Isaro A, Dogrucu A, Perucic A. Sensing Depression. Worcester: Worcester Polytechnic Institute; 2018. Available from: https://core.ac.uk/download/pdf/212971155.pdf

Zulueta J, Piscitello A, Rasic M, Easter R, Babu P, Langenecker as, et al. Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study. J Med Internet Res. 2018 Jul 20;20(7):e9775. doi: https://doi.org/10.2196/jmir.9775

World Health Organization. World mental health report: Transforming mental health for all. [internet]. WHO: Geneva; 2022. Available from: https://www.who.int/publications-detail-redirect/9789240049338

Musse FCC, Castro LS, Mestre TF, Pelloso SM, Poyares D, Musse JLL, et al. Violência mental: ansiedade e depressão durante a pandemia de COVID-19 no Brasil. Saúde e Pesquisa. 2022 Jan 31;15(1):1-17. doi: https://doi.org/10.17765/2176-9206.2022v15n1.e9684

Jacobson NC, Feng B. Digital phenotyping of generalized anxiety disorder: using artificial intelligence to accurately predict symptom severity using wearable sensors in daily life. Transl Psychiatry. 2022 Aug 17;12(1):1-7. doi: https://doi.org/10.1038/s41398-022-02038-1

Grecucci A, Pappaianni E, Siugzdaite R, Theuninck A, Job R. Mindful Emotion Regulation: Exploring the Neurocognitive Mechanisms behind Mindfulness. BioMed Res Int. 2015 Jun 7;2015:e670724. doi: https://doi.org/10.1155/2015/670724

Hoge EA, Bui E, Mete M, Dutton MA, Baker AW, Simon NM. Mindfulness-Based Stress Reduction vs Escitalopram for the Treatment of Adults With Anxiety Disorders: A Randomized Clinical Trial. JAMA Psychiatry. 2023 Jan 1; 80(1):13-21. doi: https://doi.org/10.1001/jamapsychiatry.2022.3679

Duarte DFB, Libório JR, Cavalcante GME, Aquino TL, Bezerra LC, Martin ALAR, et al. The effects of mindfulness-based interventions in COVID-19 times: a systematic review. J Hum Growth Dev. [internet] 2022 Jun 23 [cited 2022 Set 13];32(2):315-26. Available from: https://revistas.marilia.unesp.br/index.php/jhgd/article/view/13313

Jain FA, Okereke O, Gitlin L, Pedrelli P, Onnela JP, Nyer M, et al. Mentalizing imagery therapy to augment skills training for dementia caregivers: Protocol for a randomized, controlled trial of a mobile application and digital phenotyping. Contemp Clin Trials. 2022 May 1;116:106737. doi: https://doi.org/10.1016/j.cct.2022.106737

Onnela JP. Opportunities and challenges in the collection and analysis of digital phenotyping data. Neuropsychopharmacology. 2021 Jan;46(1):45-54. doi: https://doi.org/10.1038/s41386-020-0771-3

Melcher J, Hays R, Torous J. Digital phenotyping for mental health of college students: a clinical review. Evid Based Ment Health. 2020 Nov 1;23(4):161-6. doi: https://doi.org/10.1136/ebmental-2020-300180

Zhang Z, Song Y, Cui L, Liu X, Zhu T. Emotion recognition based on customized smart bracelet with built-in accelerometer. PeerJ. 2016 Jul 26;4:e2258. Doi: https://doi.org/10.7717/peerj.2258

Mayerl J. Response Latency Measurement in Surveys. Detecting Strong Attitudes and Response Effects. [internet] 2013 [cited 2022 Sep 13]. Available from: https://www.ssoar.info/ssoar/handle/document/33766

Serpell BG, Waddington G, McGrath B, Cook CJ. Is There a Link between Stress and Cognition, and Capacity to Execute Motor Skill? Med Sci Sports Exerc. 2020 Nov 1;52(11):2365-72. doi: https://doi.org/10.1249/MSS.0000000000002397

Cardinale EM, Subar AR, Brotman MA, Leibenluft E, Kircanski K, Pine DS. Inhibitory control and emotion dysregulation: A framework for research on anxiety. Dev Psychopathol. 2019 Aug;31(3):859-69. doi: https://doi.org/10.1017/S0954579419000300

Isbel BD, Lagopoulos J, Hermens DF, Summers MJ. Mental training affects electrophysiological markers of attention resource allocation in healthy older adults. Neurosci Lett. 2019 Apr 17;698:186-91. doi: https://doi.org/10.1016/j.neulet.2019.01.029

Figurska M, Stańczyk M, Kulesza K. Humans cannot consciously generate random numbers sequences: Polemic study. Med Hypotheses. 2008;70(1):182-5. doi: https://doi.org/10.1016/j.mehy.2007.06.038

Joppich G, Däuper J, Dengler R, Johannes S, Rodriguez-Fornells A, Münte TF. Brain potentials index executive functions during random number generation. Neurosci Res. 2004 Jun;49(2):157-64. doi: https://doi.org/10.1016/j.neures.2004.02.003

Barros VV, Kozasa EH, Souza ICW, Ronzani TM. Validity evidence of the brazilian version of the five facet mindfulness questionnaire (FFMQ). Psicol Teor Pesquisa. 2014 Sep;30:317-27. doi: https://doi.org/10.1590/S0102-37722014000300009

Vignola RCB, Tucci AM. Adaptation and validation of the depression, anxiety and stress scale (DASS) to Brazilian Portuguese. J Affect Disord. 2014 Feb 1;155:104-9. doi: https://doi.org/10.1016/j.jad.2013.10.031

Gouveia VV, Milfont TL, Fonseca PN, Coelho JAPM. Life Satisfaction in Brazil: Testing the Psychometric Properties of the Satisfaction With Life Scale (SWLS) in Five Brazilian Samples. Soc Indic Res. 2009 Jan 1;90(2):267-77. doi: https://doi.org/10.1007/s11205-008-9257-0

Vasconcellos SJL, Hutz CS. Construção e validação de uma escala de abertura à experiência. Aval Psicológica. [internet] 2008 Aug [citado 2022 set 13];7(2):135-41. Disponível em: http://pepsic.bvsalud.org/scielo.php?script=sci_arttext&pid=S1677-04712008000200004

Brown DB, Bravo AJ, Roos CR, Pearson MR. Five Facets of Mindfulness and Psychological Health: Evaluating a Psychological Model of the Mechanisms of Mindfulness. Mindfulness. 2015 Oct 1;6(5):1021-32. doi: https://doi.org/10.1007/s12671-014-0349-4

Baer RA, Smith GT, Hopkins J, Krietemeyer J, Toney L. Using self-report assessment methods to explore facets of mindfulness. Assessment. 2006 Mar;13(1):27-45. doi: https://doi.org/10.1177/1073191105283504

Fox E. Allocation of visual attention and anxiety. Cogn Emot. 1993 Mar 1;7(2):207-15. doi: https://doi.org/10.1080/02699939308409185

Cash M, Whittingham K. What Facets of Mindfulness Contribute to Psychological Well-being and Depressive, Anxious, and Stress-related Symptomatology? Mindfulness. 2010 Sep 1;1(3):177-82. doi: https://doi.org/10.1007/s12671-010-0023-4

Published

2023-03-31

How to Cite

Meneses, D. A. de, Tavares, J. J. C. ., Monteiro, R. E. M. ., & Lopez, L. C. S. . (2023). Digital phenotypes for mindfulness and anxiety found by smartphone app. Saúde E Pesquisa, 16(1), 1–12. https://doi.org/10.17765/2176-9206.2023v16n1.e11196

Issue

Section

Artigos Originais