41st World Seminar on COVID-19 (Part VII)
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Accepted Abstracts

Post “Apecr” on Self – Health Profiling among Aged 50’s to 60’s Individuals – An Overview

Chee Hian Tan*1, Jung Young Lee2, Raja Mohammad Firhad3 & Walter King Yan HO4

1,3
Faculty of Sports Science and Recreation, UiTM Shah Alam, Selangor, Malaysia
2 University of SUWON, Seoul, South Korea.
4 Faculty of Education. University of Macau, Taipa, Macau, Macau.

Citation:
 Tan CH, Lee JY, Firhad RM, Yan HO WK (2023) Post “Apecr” on Self – Health Profiling among Aged 50’s to 60’s Individuals – An Overview. SciTech Central COVID-19.

Received: July 07, 2023         Accepted: July 10, 2023         Published: July 10, 2023

Abstract

Introduction: APecR was a self – health profiling programme with natural physical activity which came to one APecR = 138 Kcl burnt and was registered as one measured unit or patterned (LY2019004970- 28/8/19).
Method: Field experimental to justify the  effectiveness of APecR as profiling tool. 21 participants voluntarily involved in the study with continuity another 3 cycles (3 months’ time, 2018).
Results: Lifestyle which was categorized as Very Active (> 12,000 steps) = 10.2%, Active (> 10,000 steps) = 43.7%, Moderate (7,500 - 9,999 steps) = 37%, Not Active (50000 – 7499 steps) = 10.0% and without Sedentary lifestyle (< 5,000 steps) after the APecR. Overall mean steps and Kilocalories burnt liked: October - 12,161 steps, and burn with 524.4Kcl, November - 13,197 steps, burned with 483Kcl and December with average steps - 12, 005, and burn up to 731.4Kcl. Sleeping pattern showed on bed time was longer from 7 hours 6 second (October) to 7 hours and 16 minutes (December). Weight Lose and Heart Rate: October with average weight 81.5Kg, BP reading Excel = 120/80 - 31%, Normal = 130/85- 35%, Normal Systolic = 140/90- 32% and Mild Hyper (2%). In December weight scale slightly dropped to 80.3Kg and blood pressure with Excel (34%), Normal (45%), Normal Systolic = 19% and Mild = 2%.  
Conclusion: ApecR contributed to practices, delivering fitness towards health knowledge and post effect of APecR as unit measured and technique proven as  an activty in maintenance domain.
Keywords: Self-Health profiling, “APecR,” Effectiveness, Sleeping pattern