Literature DB >> 27836243

Activity monitoring using a mHealth device and correlations with psychopathology in patients with chronic schizophrenia.

Seunghwan Shin1, Chan-Woo Yeom2, Cheolmin Shin3, Jae-Hyun Shin3, Jae Hoon Jeong3, Jung Uk Shin3, Young Ryeol Lee3.   

Abstract

There are few studies of mobile-Health (mHealth) device application with schizophrenic patients. We aimed to quantitatively assess patient's activity and the relationship between their physical activity and the severity of their psychopathologies. Then we attempted to identify the patients who required intervention and evaluated the feasibility of using the mHealth device. A total of 61 of the 76 available hospitalized patients with chronic schizophrenia who participated in the activity programs were enrolled. They wore a mHealth device for a week to assess their activity (steps/day). The Positive and Negative Syndrome Scale (PANSS) was completed by the subjects. As a result, the positive subscale of the PANSS and the positive and negative factors of the PANSS 5-factor structure showed a predictive value for low levels of physical activity. The group of subjects with a high total PANSS score had a significantly lower level of physical activity than the other groups. In conclusion, physical activity showed a significant association with positive symptoms as well as negative symptoms. The mHealth device showed relatively good feasibility for schizophrenic patients. We should pay more attention to the activity of patients with high PANSS scores.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Activity; Activity tracker; Feasibility; MHealth device; Schizophrenia

Mesh:

Year:  2016        PMID: 27836243     DOI: 10.1016/j.psychres.2016.10.059

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  8 in total

1.  Actigraphy studies and clinical and biobehavioural correlates in schizophrenia: a systematic review.

Authors:  Zi Ying Wee; Samantha Wei Lee Yong; Qian Hui Chew; Cuntai Guan; Tih Shih Lee; Kang Sim
Journal:  J Neural Transm (Vienna)       Date:  2019-03-19       Impact factor: 3.575

2.  Real-Time Monitoring: A Key Element in Personalized Health and Precision Health.

Authors:  John Zulueta; Alex D Leow; Olusola Ajilore
Journal:  Focus (Am Psychiatr Publ)       Date:  2020-04-23

Review 3.  A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses.

Authors:  Erik Reinertsen; Gari D Clifford
Journal:  Physiol Meas       Date:  2018-05-15       Impact factor: 2.833

Review 4.  Physical Activity, Positive and Negative Symptoms of Psychosis, and General Psychopathology among People with Psychotic Disorders: A Meta-Analysis.

Authors:  Ernest Swora; Monika Boberska; Ewa Kulis; Nina Knoll; Jan Keller; Aleksandra Luszczynska
Journal:  J Clin Med       Date:  2022-05-11       Impact factor: 4.964

Review 5.  Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review.

Authors:  Jussi Seppälä; Ilaria De Vita; Maria Bulgheroni; Timo Jämsä; Jouko Miettunen; Matti Isohanni; Katya Rubinstein; Yoram Feldman; Eva Grasa; Iluminada Corripio; Jesus Berdun; Enrico D'Amico
Journal:  JMIR Ment Health       Date:  2019-02-20

6.  Evaluating the utility of digital phenotyping to predict health outcomes in schizophrenia: protocol for the HOPE-S observational study.

Authors:  Nur Amirah Abdul Rashid; Wijaya Martanto; Zixu Yang; Xuancong Wang; Creighton Heaukulani; Nikola Vouk; Thisum Buddhika; Yuan Wei; Swapna Verma; Charmaine Tang; Robert J T Morris; Jimmy Lee
Journal:  BMJ Open       Date:  2021-10-20       Impact factor: 2.692

7.  Predicting Psychotic Relapse in Schizophrenia With Mobile Sensor Data: Routine Cluster Analysis.

Authors:  Joanne Zhou; Bishal Lamichhane; Dror Ben-Zeev; Andrew Campbell; Akane Sano
Journal:  JMIR Mhealth Uhealth       Date:  2022-04-11       Impact factor: 4.947

8.  Physical Activity of Patients with Chronic Schizophrenia and Related Clinical Factors.

Authors:  Sook-Hyun Lee; Gyurin Kim; Chul-Eung Kim; Seunghyong Ryu
Journal:  Psychiatry Investig       Date:  2018-07-04       Impact factor: 2.505

  8 in total

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