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Cross-Sectional Analysis of University Students’ Health Using a Digitised Health Survey

Author

Listed:
  • Pier A. Spinazze

    (Department of Primary Care and Public Health, Global Digital Health Unit, School of Public Health, Imperial College London, London W6 8RP, UK
    Centre for Population Health Sciences (CePHaS), Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore)

  • Marise J. Kasteleyn

    (Department of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
    National eHealth Living Lab, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands)

  • Jiska J. Aardoom

    (Department of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
    National eHealth Living Lab, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands)

  • Josip Car

    (Department of Primary Care and Public Health, Global Digital Health Unit, School of Public Health, Imperial College London, London W6 8RP, UK
    Centre for Population Health Sciences (CePHaS), Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore)

  • Niels H. Chavannes

    (Department of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
    National eHealth Living Lab, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands)

Abstract

University student years are a particularly influential period, during which time students may adopt negative behaviours that set the precedent for health outcomes in later years. This study utilised a newly digitised health survey implemented during health screening at a university in Singapore to capture student health data. The aim of this study was to analyze the health status of this Asian university student population. A total of 535 students were included in the cohort, and a cross-sectional analysis of student health was completed. Areas of concern were highlighted in student’s body weight, visual acuity, and binge drinking. A large proportion of students were underweight (body mass index (BMI) < 18.5)—18.9% of females and 10.6% of males—and 7% of males were obese (BMI > 30). Although the overall prevalence of alcohol use was low in this study population, 9% of females and 8% of males who consumed alcohol had hazardous drinking habits. Around 16% of these students (male and female combined) typically drank 3–4 alcoholic drinks each occasion. The prevalence of mental health conditions reported was very low (<1%). This study evaluated the results from a digitised health survey implemented into student health screening to capture a comprehensive health history. The results reveal potential student health concerns and offer the opportunity to provide more targeted student health campaigns to address these.

Suggested Citation

  • Pier A. Spinazze & Marise J. Kasteleyn & Jiska J. Aardoom & Josip Car & Niels H. Chavannes, 2020. "Cross-Sectional Analysis of University Students’ Health Using a Digitised Health Survey," IJERPH, MDPI, vol. 17(9), pages 1-20, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:9:p:3009-:d:350649
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    Cited by:

    1. András Fehér & Miklós Véha & Henrietta Mónika Boros & Bence Kovács & Enikő Kontor & Zoltán Szakály, 2021. "The Relationship between Online and Offline Information-Seeking Behaviors for Healthy Nutrition," IJERPH, MDPI, vol. 18(19), pages 1-18, September.

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