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Socio-Demographic and Health-Related Predictors of Perceived Academic Performance of Students: An Academe-Centered Analysis

Author

Listed:
  • Yvonne M. Sevilla

    (College of Allied Health Sciences. University of the Visayas)

  • Resty L. Picardo

    (College of Allied Health Sciences. University of the Visayas)

  • Joel B. Serad

    (College of Allied Health Sciences. University of the Visayas)

  • Joan P. Bacarisas

    (College of Allied Health Sciences. University of the Visayas)

  • Rosenie S. Coronado

    (College of Allied Health Sciences. University of the Visayas)

  • Geronima Emma A. Amores

    (College of Allied Health Sciences. University of the Visayas)

Abstract

The knowledge of the world that one acquires through education has a significant impact in the future lives and enables people to comprehend the events that are taking place in a manner that is significantly more cohesive. In the meantime, educational achievement is a measurement that is based on the academic performance of an individual student. A path analysis on the academic performance with personal characteristics and health factors is scarcely being done. This quantitative research made use of the descriptive, correlational (associative and predictive) design. The study further took the path analysis to assess the predictors and correlates of academic performance of students of higher education institution in Cebu City during the academic year 2023-2024. The findings of the study revealed that most of the respondents were 18 to 20 years old. There was an almost equal number of male and female. Almost a quarter were coming from the College of Maritime Education and almost a quarter of them took the Bachelor of Science in Marine Transportation. Majority had their residence in the city and majority were living with their family. The dietary healthy choices and social and mental balance were good while dietary harm avoidance, daily routine, organized physical exercise were poor. Overall, the health lifestyle and personal control of the respondents was poor. Physical, cognitive, psychological/emotional, behavioral, interpersonal, and existential self-care practices were good. Overall, the self-care practices was good. The personal well-being was high. Overall, the respondents had a good perceived academic performance. The path model revealed that the age, gender, self-care practices and personal well-being were predictors of perceived academic performance while the personal characteristics of college and the variable health lifestyle and personal control were the correlates of perceived academic performance. The model further explains that gender predicts health lifestyle and personal control as residency predicts self-care practices while age was a correlate of health lifestyle and personal control while college was a correlate of personal well-being. Based on the findings, an academic performance framework and academic performance enhancement plans was proposed.

Suggested Citation

  • Yvonne M. Sevilla & Resty L. Picardo & Joel B. Serad & Joan P. Bacarisas & Rosenie S. Coronado & Geronima Emma A. Amores, 2024. "Socio-Demographic and Health-Related Predictors of Perceived Academic Performance of Students: An Academe-Centered Analysis," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(9), pages 672-721, September.
    • Handle: RePEc:bjc:journl:v:11:y:2024:i:9:p:672-721
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    References listed on IDEAS

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    1. Evelyn N. Nwagu & Jude C. Enebechi & Amelia N. Odo, 2018. "Self-Control in Learning for Healthy Living Among Students in a Nigerian College of Education," SAGE Open, , vol. 8(3), pages 21582440187, August.
    2. Marie-Maude Dubuc & Mylène Aubertin-Leheudre & Antony D. Karelis, 2019. "Lifestyle Habits Predict Academic Performance in High School Students: The Adolescent Student Academic Performance Longitudinal Study (ASAP)," IJERPH, MDPI, vol. 17(1), pages 1-15, December.
    3. McGovern, Pauline & Nazroo, James, 2015. "Patterns and causes of health inequalities in later life: A Bourdieusian approach," Greenwich Papers in Political Economy 14583, University of Greenwich, Greenwich Political Economy Research Centre.
    4. Nam, Kigon, 2014. "Until when does the effect of age on academic achievement persist? Evidence from Korean data," Economics of Education Review, Elsevier, vol. 40(C), pages 106-122.
    5. Mollborn, Stefanie & Lawrence, Elizabeth M. & Hummer, Robert A., 2020. "A gender framework for understanding health lifestyles," Social Science & Medicine, Elsevier, vol. 265(C).
    6. Agoestina Mappadang & Khusaini Khusaini & Melan Sinaga & Elizabeth Elizabeth, 2022. "Academic interest determines the academic performance of undergraduate accounting students: Multinomial logit evidence," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2101326-210, December.
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