A Study of Factors Predicting Dementia of Working Age At-Risk Groups in the East of Thailand (78689)

Session Information: Psychology and Education
Session Chair: Boby Ho-Hong Ching

Wednesday, 27 March 2024 09:40
Session: Session 1
Room: Room 605
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

This predictive relationship research’s objective was to study dementia and factors predicting dementia among working-age people at risk in the eastern region of Thailand. The sample group consisted of 105 people aged between 20 to 59 years old and over, both male and female who were working regular hours and living in the East of Thailand. They were selected by using a multi-staged random sampling. The data were collected between August and November 2023. The tools used for data collections included personal information questionnaire, stress test, depression symptom assessment form, World Health Organization Quality of Life Assessment, and dementia assessment form. The data analysis used was the stepwise multiple regression analysis at the statistical significance level of .05.
The research results revealed that dementia scores for working age groups at risk in the eastern region was at the normal level. The average value was 26.67. The factor predicting dementia in working-age people at risk in the eastern region that affected dementia was the psychological factors—the depression, which explained 22.70% of the variance in dementia.
From the research results, it is suggested that assessments of dementia among working age groups at risk should be conducted, and they should be screened for dementia. Emotional and mental conditions together should also be evaluated to reduce the risk of dementia.

Authors:
Kasarin Photingam, Burapha University, Thailand


About the Presenter(s)
Ms Kasarin Photingam is a University Doctoral Student at Burapha University in Thailand

See this presentation on the full scheduleWednesday Schedule



Conference Comments & Feedback

Place a comment using your LinkedIn profile

Comments

Share on activity feed

Powered by WP LinkPress

Share this Presentation

Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00