scholarly journals Data mining-based air pollution characteristics and real-time monitoring of college students’ physical and mental health

2021 ◽  
Vol 14 (15) ◽  
Author(s):  
Xiaomei Wu ◽  
Xuejun Ma
Keyword(s):  
Mental Health ◽  
College Students ◽  
Data Mining ◽  
Air Pollution ◽  
Real Time ◽  
Physical And Mental Health ◽  
Real Time Monitoring ◽  
Pollution Characteristics

Relationship Between Extracurricular Occupations and Health in College Students: A Longitudinal Study

2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512505178p1-7512505178p1
Author(s):  
Buwen Yao ◽  
Sandy Takata ◽  
Shawn C. Roll
Keyword(s):  
Mental Health ◽  
College Students ◽  
Longitudinal Study ◽  
Physical Health ◽  
Extracurricular Activities ◽  
Positive Mental Health ◽  
Student Health ◽  
Physical And Mental Health ◽  
Primary Author

Abstract Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations. We examined the relationships between participation in different extracurricular activities and the overall physical and mental health in college students across a 2-year period. Participation in certain occupations was associated with positive mental health, whereas other occupations were linked to poorer physical health. Exploration and promotion of participation in extracurricular occupations should be considered to support student health. Primary Author and Speaker: Buwen Yao Contributing Authors: Sandy Takata, Shawn C. Roll

scholarly journals Evaluation of the Effect of Ideological and Political Education on Psychological Crisis Intervention for University Students Based on Data Mining Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hexia Yao ◽  
Mohd. Dahlan Hj. A. Malek
Keyword(s):  
Mental Health ◽  
College Students ◽  
Data Mining ◽  
Health Education ◽  
University Students ◽  
Civic Education ◽  
Psychological Health ◽  
Mental Health Education ◽  
Ideological Education

The mental health level of university students not only directly affects their own growth, but also affects the stability of the campus, which in turn affects the harmony of society and the improvement of the quality of all people. The combination of ideological education and mental health education is an important educational project in contemporary universities. To enhance the quality of psychological health education of college students can promote the overall development of students’ comprehensive quality; the two are closely integrated together, so as to successfully promote the effective combination of ideological education and psychological education, thus realizing the role of ideological education and psychological health education in promoting the physical and mental health development of contemporary college students. This paper explains the technology of data mining and the current situation of the psychological impact of Civic Education on college students and analyzes in depth the feasibility of introducing data mining technology in Civic Education to intervene in the psychological crisis of college students. The results show that the application of the technology provides a new idea for the mental health education of college students and a new way for the construction of a preventive college student mental health education model.

Protocol for Remote Assessment of Lung Disease and Impact on Physical and Mental Health (RALPMH) (Preprint)

2021 ◽  
Author(s):  
Yatharth Ranjan ◽  
Malik Althobiani ◽  
Joseph Jacob ◽  
Michele Orini ◽  
Richard Dobson ◽  
...  
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Real Time ◽  
Remote Monitoring ◽  
Wearable Devices ◽  
Physical And Mental Health ◽  
Disease Trajectory ◽  
Passive Data ◽  
Active Data ◽  
Finger Pulse

BACKGROUND Chronic Lung disorders like COPD and IPF are characterised by exacerbations which are a significant problem: unpleasant for patients, and sometimes severe enough to cause hospital admission (and therefore NHS pressures) and death. Reducing the impact of exacerbations is very important. Moreover, due to the COVID-19 pandemic, the vulnerable populations with these disorders are at high risk and hence their routine care cannot be done properly. Remote monitoring offers a low cost and safe solution of gaining visibility into the health of people in their daily life. Thus, remote monitoring of patients in their daily lives using mobile and wearable devices could be useful especially in high vulnerability groups. A scenario we consider here is to monitor patients and detect disease exacerbation and progression and investigate the opportunity of detecting exacerbations in real-time with a future goal of real-time intervention. OBJECTIVE The primary objective is to assess the feasibility and acceptability of remote monitoring using wearable and mobile phones in patients with pulmonary diseases. The aims will be evaluated over these areas: Participant acceptability, drop-out rates and interpretation of data, Detection of clinically important events such as exacerbations and disease progression, Quantification of symptoms (physical and mental health), Impact of disease on mood and wellbeing/QoL and The trajectory-tracking of main outcome variables, symptom fluctuations and order. The secondary objective of this study is to provide power calculations for a larger longitudinal follow-up study. METHODS Participants will be recruited from 2 NHS sites in 3 different cohorts - COPD, IPF and Post hospitalised Covid. A total of 60 participants will be recruited, 20 in each cohort. Data collection will be done remotely using the RADAR-Base mHealth platform for different devices - Garmin wearable devices, smart spirometers, mobile app questionnaires, surveys and finger pulse oximeters. Passive data collected includes wearable derived continuous heart rate, SpO2, respiration rate, activity, and sleep. Active data collected includes disease-specific PROMs, mental health questionnaires and symptoms tracking to track disease trajectory in addition to speech sampling, spirometry and finger Pulse Oximetry. Analyses are intended to assess the feasibility of RADAR-Base for lung disorder remote monitoring (include quality of data, a cross-section of passive and active data, data completeness, the usability of the system, acceptability of the system). Where adequate data is collected, we will attempt to explore disease trajectory, patient stratification and identification of acute clinically interesting events such as exacerbations. A key part of this study is understanding the potential of real-time data collection, here we will simulate an intervention using the Exacerbation Rating Scale (ERS) to acquire responses at-time-of-event to assess the performance of a model for exacerbation identification from passive data collected. RESULTS RALPMH study provides a unique opportunity to assess the use of remote monitoring in the study of lung disorders. The study is set to be started in mid-May 2021. The data collection apparatus, questionnaires and wearable integrations have been set up and tested by clinical teams. While waiting for ethics approval, real-time detection models are currently being constructed. CONCLUSIONS RALPMH will provide a reference infrastructure for the use of wearable data for monitoring lung diseases. Specifically information regarding the feasibility and acceptability of remote monitoring and the potential of real-time remote data collection and analysis in the context of chronic lung disorders. Moreover, it provides a unique standpoint to look into the specifics of novel coronavirus without burdensome interventions. It will help plan and inform decisions in any future studies that make use of remote monitoring in the area of Respiratory health. CLINICALTRIAL https://www.isrctn.com/ISRCTN16275601

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