Cross-sectional analysis of university students’ health using a digitised health survey

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Spinazze, Pier A., Kasteleyn, Marise J., Aardoom, Jiska J., Car, Josip, Chavannes, Niels H.
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/145717
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-145717
record_format dspace
spelling sg-ntu-dr.10356-1457172023-03-05T16:49:24Z Cross-sectional analysis of university students’ health using a digitised health survey Spinazze, Pier A. Kasteleyn, Marise J. Aardoom, Jiska J. Car, Josip Chavannes, Niels H. Lee Kong Chian School of Medicine (LKCMedicine) Centre for Population Health Sciences Science::Medicine Health Screening Health Survey 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. Published version 2021-01-06T01:17:13Z 2021-01-06T01:17:13Z 2020 Journal Article Spinazze, P. A., Kasteleyn, M. J., Aardoom, J. J., Car, J., & Chavannes, N. H. (2020). Cross-sectional analysis of university students’ health using a digitised health survey. International Journal of Environmental Research and Public Health, 17(9), 3009-. doi:10.3390/ijerph17093009 1661-7827 https://hdl.handle.net/10356/145717 10.3390/ijerph17093009 32357473 9 17 en International Journal of Environmental Research and Public Health © 2020 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Health Screening
Health Survey
spellingShingle Science::Medicine
Health Screening
Health Survey
Spinazze, Pier A.
Kasteleyn, Marise J.
Aardoom, Jiska J.
Car, Josip
Chavannes, Niels H.
Cross-sectional analysis of university students’ health using a digitised health survey
description 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.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Spinazze, Pier A.
Kasteleyn, Marise J.
Aardoom, Jiska J.
Car, Josip
Chavannes, Niels H.
format Article
author Spinazze, Pier A.
Kasteleyn, Marise J.
Aardoom, Jiska J.
Car, Josip
Chavannes, Niels H.
author_sort Spinazze, Pier A.
title Cross-sectional analysis of university students’ health using a digitised health survey
title_short Cross-sectional analysis of university students’ health using a digitised health survey
title_full Cross-sectional analysis of university students’ health using a digitised health survey
title_fullStr Cross-sectional analysis of university students’ health using a digitised health survey
title_full_unstemmed Cross-sectional analysis of university students’ health using a digitised health survey
title_sort cross-sectional analysis of university students’ health using a digitised health survey
publishDate 2021
url https://hdl.handle.net/10356/145717
_version_ 1759858154574708736