Literature DB >> 29059866

Smartphone app to investigate the relationship between social connectivity and mental health.

Tjeerd W Boonstra, Aliza Werner-Seidler, Bridianne O'Dea, Mark E Larsen, Helen Christensen.   

Abstract

Interpersonal relationships are necessary for successful daily functioning and wellbeing. Numerous studies have demonstrated the importance of social connectivity for mental health, both through direct peer-to-peer influence and by the location of individuals within their social network. Passive monitoring using smartphones provides an advanced tool to map social networks based on the proximity between individuals. This study investigates the feasibility of using a smartphone app to measure and assess the relationship between social network metrics and mental health. The app collected Bluetooth and mental health data in 63 participants. Social networks of proximity were estimated from Bluetooth data and 95% of the edges were scanned at least every 30 minutes. The majority of participants found this method of data collection acceptable and reported that they would be likely to participate in future studies using this app. These findings demonstrate the feasibility of using a smartphone app that participants can install on their own phone to investigate the relationship between social connectivity and mental health.

Entities:  

Mesh:

Year:  2017        PMID: 29059866     DOI: 10.1109/EMBC.2017.8036818

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  11 in total

Review 1.  The Best Digital Biomarkers Papers of 2017.

Authors:  Christopher W Snyder; E Ray Dorsey; Ashish Atreja
Journal:  Digit Biomark       Date:  2018-05-30

2.  Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions.

Authors:  Tjeerd W Boonstra; Jennifer Nicholas; Quincy Jj Wong; Frances Shaw; Samuel Townsend; Helen Christensen
Journal:  J Med Internet Res       Date:  2018-07-30       Impact factor: 5.428

3.  Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations.

Authors:  Alina Trifan; Maryse Oliveira; José Luís Oliveira
Journal:  JMIR Mhealth Uhealth       Date:  2019-08-23       Impact factor: 4.773

4.  Measuring Mental Effort for Creating Mobile Data Collection Applications.

Authors:  Johannes Schobel; Thomas Probst; Manfred Reichert; Winfried Schlee; Marc Schickler; Hans A Kestler; Rüdiger Pryss
Journal:  Int J Environ Res Public Health       Date:  2020-03-03       Impact factor: 3.390

5.  Understanding the complexities of Bluetooth for representing real-life social networks: A methodology for inferring and validating Bluetooth-based social network graphs.

Authors:  Bojan Simoski; Michel C A Klein; Eric Fernandes de Mello Araújo; Aart T van Halteren; Thabo J van Woudenberg; Kirsten E Bevelander; Moniek Buijzen; Henri Bal
Journal:  Pers Ubiquitous Comput       Date:  2020-08-13

Review 6.  Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review.

Authors:  Jean P M Mendes; Ivan R Moura; Pepijn Van de Ven; Davi Viana; Francisco J S Silva; Luciano R Coutinho; Silmar Teixeira; Joel J P C Rodrigues; Ariel Soares Teles
Journal:  J Med Internet Res       Date:  2022-02-17       Impact factor: 7.076

7.  Smartphone Sensor Data for Identifying and Monitoring Symptoms of Mood Disorders: A Longitudinal Observational Study.

Authors:  Taylor A Braund; May The Zin; Tjeerd W Boonstra; Quincy J J Wong; Mark E Larsen; Helen Christensen; Gabriel Tillman; Bridianne O'Dea
Journal:  JMIR Ment Health       Date:  2022-05-04

8.  Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review.

Authors:  Abinaya Gopalakrishnan; Revathi Venkataraman; Raj Gururajan; Xujuan Zhou; Rohan Genrich
Journal:  PeerJ Comput Sci       Date:  2022-08-02

9.  Validation of a smartphone app to map social networks of proximity.

Authors:  Tjeerd W Boonstra; Mark E Larsen; Samuel Townsend; Helen Christensen
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

10.  Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study.

Authors:  Yuezhou Zhang; Amos A Folarin; Shaoxiong Sun; Nicholas Cummins; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum Stewart; Petroula Laiou; Faith Matcham; Carolin Oetzmann; Femke Lamers; Sara Siddi; Sara Simblett; Aki Rintala; David C Mohr; Inez Myin-Germeys; Til Wykes; Josep Maria Haro; Brenda W J H Penninx; Vaibhav A Narayan; Peter Annas; Matthew Hotopf; Richard J B Dobson
Journal:  JMIR Mhealth Uhealth       Date:  2021-07-30       Impact factor: 4.773

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