Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Adverse effects (1)
- Covid-19 (1)
- Epidemic (1)
- GMDH (1)
- GMDH Shell (1)
-
- Human Factors ∙ Active Ageing ∙ Older Adult ∙ Driver Task ∙ Au-tomated Driving ∙ Adaption ∙ Self-efficacy ∙ Ethics ∙ User Acceptability (1)
- Increased risks (1)
- Mental health (1)
- Overweight obeseity (1)
- Physical (1)
- Physical literacy; movement; skill development; youth; movement screening (1)
- Shift work (1)
- Short-term forecast (1)
- Publication
Articles 1 - 4 of 4
Full-Text Articles in Medicine and Health Sciences
Adherence To Dietary And Physical Activity Guidelines Among Shift Workers: Associations With Individual And Work-Related Factors, Ciara Kelly, Fiona M. Nea, Kirsty Pourshahidi, John Kearney, Victoria M O'Brien, M Barbara E Livingstone, Clare Corish
Adherence To Dietary And Physical Activity Guidelines Among Shift Workers: Associations With Individual And Work-Related Factors, Ciara Kelly, Fiona M. Nea, Kirsty Pourshahidi, John Kearney, Victoria M O'Brien, M Barbara E Livingstone, Clare Corish
Articles
Objectives Shift work is associated with adverse effects on the health and lifestyle behaviours of employees. This study aimed to examine factors associated with adherence among shift workers to selected indicators of dietary and physical activity guidelines. Methods A cross-sectional study was conducted on 1300 shift workers. Data were collected using a 15 minute telephone-administered questionnaire. Logistic regression methods were used for data analysis. Results Male shift workers (p
A Four-Week Fundamental Motor Skill Intervention Improves Motor Skills In Eight To 10-Year-Old Irish Primary School Children, Keith Costello, Joe Warne
A Four-Week Fundamental Motor Skill Intervention Improves Motor Skills In Eight To 10-Year-Old Irish Primary School Children, Keith Costello, Joe Warne
Articles
Aim: To determine if a four-week fundamental motor skills intervention improves fundamental motor skills in Irish school children. Methods: 100 Primary School boys (n = 58) and girls (n = 42) participated in this study (Age 9 ± 1 years, equally divided into a control and intervention group. Proficiency was assessed qualitatively using the Fundamental Motor Skills Quotient (FMSQ) pre and post intervention, and between gender. Results: There was no change in the control group over time (p = 0.54; Mean change = 0.06 [−0.14 to 0.26]; Cohen’s d = 0.01 [Trivial]). In the intervention group, both the male (p …
Driver Persistence, Safety And Older Adult Self-Efficacy: Addressing Driving Challenges Using Innovative Multimodal Communication Concepts, Joan Cahill, Katie Crowley, Sam Cromie, Alison Kay, Michael Gormley, Eamonn Kenny, Sonja Hermann, Ciaran Doyle, Ann Hever, Robert J. Ross
Driver Persistence, Safety And Older Adult Self-Efficacy: Addressing Driving Challenges Using Innovative Multimodal Communication Concepts, Joan Cahill, Katie Crowley, Sam Cromie, Alison Kay, Michael Gormley, Eamonn Kenny, Sonja Hermann, Ciaran Doyle, Ann Hever, Robert J. Ross
Conference papers
New assisted driving technology provides a solution to enabling driver persistence while also addressing older adult fitness to drive issues. The proposed driver assistance system follows a detailed literature review, an analysis of secondary data, and the specification of a solution using human machine interaction (HMI) design methods. Overall, the assisted driving concept follows from a principled/ethical perspective in relation to promoting self-efficacy and enablement for older adults. The system is conceptualized as a supportive friend or ‘co-pilot’. It is argued that the use of new car-based sensors, along with machine learning intelligence and novel multimodal HMI communication methods will …
Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova
Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova
Conference papers
The sudden onset and quick development of an unknown epidemic may lead to tragic consequences: panic of population due to victims and unpreparedness of authorities for effectively help to population. These circumstances define extremely high requirements to the tools for short-term operational forecast. Namely, such tools should provide reliable results when model of phenomenon is unknown (factors of disease spreading) and data are limited (time series of observations). GMDH-based algorithms just meet these requirements unlike modern differential or advanced statistical models. In this study we test different algorithms from GMDH Shell platform on the example of Covid-19 epidemic in Moscow …