Cargando…
The ecological momentary assessment approach and the use of big data to analyse possible effects of urbanisation on mental health
INTRODUCTION: Smart healthcare monitoring allows detecting health conditions using Big Data, namely aggregated data concerning physiological and behavioral parameters. The continuous collection of data from smart-devices performed by the Ecological Momentary Assessment approach represents a promisin...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471617/ http://dx.doi.org/10.1192/j.eurpsy.2021.49 |
_version_ | 1784789119869648896 |
---|---|
author | Menculini, G. Pigliautile, I. Moretti, P. Cotana, F. Pisello, A.L. Tortorella, A. |
author_facet | Menculini, G. Pigliautile, I. Moretti, P. Cotana, F. Pisello, A.L. Tortorella, A. |
author_sort | Menculini, G. |
collection | PubMed |
description | INTRODUCTION: Smart healthcare monitoring allows detecting health conditions using Big Data, namely aggregated data concerning physiological and behavioral parameters. The continuous collection of data from smart-devices performed by the Ecological Momentary Assessment approach represents a promising application of Big Data. OBJECTIVES: This preliminary study was aimed at developing a research protocol focused on the use of Big Data in evaluating the impact of urban environment, affected by a variety of potentially damaging anthropogenic actions, on illness relapses in Bipolar Disorders (BD). METHODS: This pilot study was designed by researchers from Departments of Psychiatry and Engineering (CIRIAF), University of Perugia. Environmental, physiological, and behavioral parameters and smart-devices aimed at collecting Big Data were identified. Subjects aged 18-65, affected by BD in current euthymic state referring to the University/General Hospital of Perugia will be recruited. RESULTS: Subjects will undergo a baseline visit and three monitoring visits during one year. Wearable devices will be provided for collecting data about environmental and physiological parameters. Behavioral data will be collected through smartphone accelerometers, GPS, and overall smartphone use. Big data will be stored into an online platform that will provide real-time feedback concerning the recorded variables. Clinical information concerning BD relapses will be collected. Machine learning techniques, integrated to deterministic analysis of urban environmental conditions, will be used to create possible predictive models for BD relapses. CONCLUSIONS: The present project could allow the creation of a new operative platform for a better health management system correlating real-time Big Data to specific clinical features of BD. DISCLOSURE: No significant relationships. |
format | Online Article Text |
id | pubmed-9471617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94716172022-09-29 The ecological momentary assessment approach and the use of big data to analyse possible effects of urbanisation on mental health Menculini, G. Pigliautile, I. Moretti, P. Cotana, F. Pisello, A.L. Tortorella, A. Eur Psychiatry Abstract INTRODUCTION: Smart healthcare monitoring allows detecting health conditions using Big Data, namely aggregated data concerning physiological and behavioral parameters. The continuous collection of data from smart-devices performed by the Ecological Momentary Assessment approach represents a promising application of Big Data. OBJECTIVES: This preliminary study was aimed at developing a research protocol focused on the use of Big Data in evaluating the impact of urban environment, affected by a variety of potentially damaging anthropogenic actions, on illness relapses in Bipolar Disorders (BD). METHODS: This pilot study was designed by researchers from Departments of Psychiatry and Engineering (CIRIAF), University of Perugia. Environmental, physiological, and behavioral parameters and smart-devices aimed at collecting Big Data were identified. Subjects aged 18-65, affected by BD in current euthymic state referring to the University/General Hospital of Perugia will be recruited. RESULTS: Subjects will undergo a baseline visit and three monitoring visits during one year. Wearable devices will be provided for collecting data about environmental and physiological parameters. Behavioral data will be collected through smartphone accelerometers, GPS, and overall smartphone use. Big data will be stored into an online platform that will provide real-time feedback concerning the recorded variables. Clinical information concerning BD relapses will be collected. Machine learning techniques, integrated to deterministic analysis of urban environmental conditions, will be used to create possible predictive models for BD relapses. CONCLUSIONS: The present project could allow the creation of a new operative platform for a better health management system correlating real-time Big Data to specific clinical features of BD. DISCLOSURE: No significant relationships. Cambridge University Press 2021-08-13 /pmc/articles/PMC9471617/ http://dx.doi.org/10.1192/j.eurpsy.2021.49 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Menculini, G. Pigliautile, I. Moretti, P. Cotana, F. Pisello, A.L. Tortorella, A. The ecological momentary assessment approach and the use of big data to analyse possible effects of urbanisation on mental health |
title | The ecological momentary assessment approach and the use of big data to analyse possible effects of urbanisation on mental health |
title_full | The ecological momentary assessment approach and the use of big data to analyse possible effects of urbanisation on mental health |
title_fullStr | The ecological momentary assessment approach and the use of big data to analyse possible effects of urbanisation on mental health |
title_full_unstemmed | The ecological momentary assessment approach and the use of big data to analyse possible effects of urbanisation on mental health |
title_short | The ecological momentary assessment approach and the use of big data to analyse possible effects of urbanisation on mental health |
title_sort | ecological momentary assessment approach and the use of big data to analyse possible effects of urbanisation on mental health |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471617/ http://dx.doi.org/10.1192/j.eurpsy.2021.49 |
work_keys_str_mv | AT menculinig theecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT pigliautilei theecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT morettip theecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT cotanaf theecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT piselloal theecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT tortorellaa theecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT menculinig ecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT pigliautilei ecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT morettip ecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT cotanaf ecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT piselloal ecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth AT tortorellaa ecologicalmomentaryassessmentapproachandtheuseofbigdatatoanalysepossibleeffectsofurbanisationonmentalhealth |