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...
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doaj-1af45ae43c01406aba7f6119e38adc042020-11-25T03:35:36ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012020-04-01173009300910.3390/ijerph17093009Cross-Sectional Analysis of University Students’ Health Using a Digitised Health SurveyPier A. Spinazze0Marise J. Kasteleyn1Jiska J. Aardoom2Josip Car3Niels H. Chavannes4Department of Primary Care and Public Health, Global Digital Health Unit, School of Public Health, Imperial College London, London W6 8RP, UKDepartment of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, The NetherlandsDepartment of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, The NetherlandsDepartment of Primary Care and Public Health, Global Digital Health Unit, School of Public Health, Imperial College London, London W6 8RP, UKDepartment of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, The NetherlandsUniversity 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.https://www.mdpi.com/1660-4601/17/9/3009health screeninghealth surveyuniversity student healthyoung Asian adults |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pier A. Spinazze Marise J. Kasteleyn Jiska J. Aardoom Josip Car Niels H. Chavannes |
spellingShingle |
Pier A. Spinazze Marise J. Kasteleyn Jiska J. Aardoom Josip Car Niels H. Chavannes Cross-Sectional Analysis of University Students’ Health Using a Digitised Health Survey International Journal of Environmental Research and Public Health health screening health survey university student health young Asian adults |
author_facet |
Pier A. Spinazze Marise J. Kasteleyn Jiska J. Aardoom Josip Car Niels H. Chavannes |
author_sort |
Pier A. Spinazze |
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 |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1661-7827 1660-4601 |
publishDate |
2020-04-01 |
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. |
topic |
health screening health survey university student health young Asian adults |
url |
https://www.mdpi.com/1660-4601/17/9/3009 |
work_keys_str_mv |
AT pieraspinazze crosssectionalanalysisofuniversitystudentshealthusingadigitisedhealthsurvey AT marisejkasteleyn crosssectionalanalysisofuniversitystudentshealthusingadigitisedhealthsurvey AT jiskajaardoom crosssectionalanalysisofuniversitystudentshealthusingadigitisedhealthsurvey AT josipcar crosssectionalanalysisofuniversitystudentshealthusingadigitisedhealthsurvey AT nielshchavannes crosssectionalanalysisofuniversitystudentshealthusingadigitisedhealthsurvey |
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