An IoT Based Intelligent Control System for Physically Disabled People

Author(s):  
C. Ramesh ◽  
E. Udayakumar ◽  
K. Yogeshwaran ◽  
P. Omprakash
Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 361
Author(s):  
Su Jeong Yi ◽  
Yoo Mi Jeong ◽  
Jae-Hyun Kim

Physically disabled persons can have sleep problems, which affects their mental health more than those in non-disabled people. However, there are few studies on the relationship between sleep duration and mental health targeting physically disabled people in South Korea, and existing studies on the disabled have mostly used data collected from convenience rather than nationally representative samples, limiting the generalization of the results. This study used data from the second wave of the Panel Survey of Employment for the Disabled (PSED, 2016–2018, 1st–3rd year). Participants included 1851 physically disabled individuals. The Chi-square test and generalized estimating equation (GEE) were used and the Akaike information criterion (AIC) value and the AIC log Bayes factor approximation were used to select sleep trajectories. This is the first study to elucidate multiple sleep trajectories in physically disabled people in Korea, and the relationship between sleep duration trajectories and self-rated depressive symptoms. People with physical disabilities who sleep more than 9 h have the highest risk of depression and need more intensive management as a priority intervention.


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