Dataset Information

Study-Related Work and Commuting Accidents among Students at the University of Mainz from 12/2012 to 12/2018: Identification of Potential Risk Groups and Implications for Prevention.

ABSTRACT: BACKGROUND:Universities represent an important setting of everyday life for health promotion. The aim of the present study was to assess whether university students of specific disciplines might have an increased risk for having a study-related work accident and to analyze what types of study-related work accidents occur most frequently. Furthermore, knowledge regarding study-related commuting accidents will be provided by identifying places where study-related commuting accidents might occur most frequently and on potential types of commuting (walking vs. biking) which might be associated with an increased risk for having a study-related commuting accident. METHODS:Retrospective analyses of a dataset provided by the Accident Insurance Fund of Rhineland-Palatinate, Germany, including all accidents that happened at the University of Mainz (JGU) between December 2012 and December 2018 were performed. Binominal tests were computed to reveal whether the frequency of study-related work accidents in students affiliated with a specific faculty or institution differs significantly from the expected frequency of all reported study-related work accidents. RESULTS:Overall, 1285 study-related accidents were analyzed-of which, 71.8% were work and 28.2% commuting accidents. Students of 'Faculty-Medicine' (80.5%; p = 0.003), 'Faculty-Chemistry, Pharmaceutical Sciences, Geography and Geosciences' (90.7%; p < 0.001), and students that participated in study-related sports activities (97.4%; p ? 0.001) had a significantly increased risk for the occurrence of a study-related work accident. Needlestick and sharps injuries (NSIs) as well as lab accidents play a pivotal role. Furthermore, above 40% of the study-related commuting accidents were cycling accidents. CONCLUSIONS:There is a call for prevention in order to decrease the number of NSIs among medical students, lab accidents as well as sport-related accidents. Concrete implications for prevention are discussed in the present paper. In addition, given that students are among the most likely to bicycle, and given that most bicycle-related accidents involve fatal injuries, cycling safety campaigns need to be initiated on campus.

SUBMITTER: Dietz P

PROVIDER: S-EPMC7277531 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Study-Related Work and Commuting Accidents among Students at the University of Mainz from 12/2012 to 12/2018: Identification of Potential Risk Groups and Implications for Prevention.

Dietz Pavel P Reichel Jennifer L JL Werner Antonia M AM Letzel Stephan S

International journal of environmental research and public health 20200523 10

<h4>Background</h4>Universities represent an important setting of everyday life for health promotion. The aim of the present study was to assess whether university students of specific disciplines might have an increased risk for having a study-related work accident and to analyze what types of study-related work accidents occur most frequently. Furthermore, knowledge regarding study-related commuting accidents will be provided by identifying places where study-related commuting accidents might ...[more]

PMID: 32456141

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Project description:Background and Objectives: Active commuting to and from university (ACU) could be a strategy to increase physical activity levels (PA) and promote health in young university students. We aimed to a) examine the patterns of commuting to university in Chilean students; b) the association between the mode of commuting to and from university and socio-demographic factors and PA-levels. Materials and Methods: A total of 496 university students (21.6 ± 2.4 years old) from two universities from Valparaíso (central coast of Chile) participated in this study. Personal data, home address, socio-economic status, PA, and the usual mode of commuting to and from the university were self-reported by a questionnaire. The commute distances were objectively measured using Google-Maps-software. Associations were examined using binary logistic regressions. Results: The main mode of commuting was by bus (to university: 55.2% vs. from university: 59.3%; p < 0.001). The least used mode was cycling (1.4% to and from university). Students living >5-km from university were less active commuters than those living in closer distances: (2-5 km, odds ratio (OR): 4.424, 95% and 95% confidence intervals (CI): 2.443-8.011, p < 0.001; 2 km, OR: 143.052, 95% CI: 55.154-371.030, p < 0.001). Students with low PA-levels were less active commuters than those with medium (OR: 1.446; 95% CI: 0.864-2.421; p = 0.160) or higher levels (OR: 1.880; 95% CI: 1.880-1.094; p = 0.022). Students who lived between 2 and 5 km, presented a significant association to be active commuters when they showed medium PA-levels (OR: 5.244, 95% CI: 1.358-20.246; p = 0.016). Conclusions: Chilean university students from Valparaíso are mainly passive commuters using public transport as the main mode of commuting to and from university; longer distances from home to the university are associated with low PA levels. ACU in distances between 2-5 km (mainly walking) could contribute to having medium PA-levels in Chilean university students. Thus, promoting the ACU walking to and from the university in such distances could be an effective strategy to increase the overall PA levels in Chilean university students.

Project description:Background: Universities represent an important setting of everyday life for health promotion. The Healthy Campus Mainz project aims to develop an evidence-based and comprehensive student health management program covering physical, mental, and social health promotion. Hence, an initial health survey was performed in order to identify the students' health concerns and resources. Up until now, it remains unclear which topics to choose in a health survey among university students and which strategies can be recommended to receive an acceptable response rate or representative student sample within a university setting. The present paper contributes to the call for the present research topic "Public Health Promotion in University Students" by describing methods for health assessment. Therefore, the current paper aims to give an empirical example on how to perform a health survey among university students, focusing on (1) choosing topics for the survey and (2) methodological considerations of how to reach the target population. Methods: An online questionnaire including around 270 items was developed covering a comprehensive set of health topics. Participants were recruited via the university email. Mixed channels for survey promotion, such as lecture visits and social media, were used, accompanied by different monetary and non-monetary incentives. Descriptive analyses were performed to describe the sample. Results: A total of 5,006 participants (out of 31,213 registered students) viewed the first page of the questionnaire; of whom, 4,714 continued further. After a manual data cleaning according to the predefined criteria, the final sample was 4,351, demonstrating a response rate of 13.9%. Students from different study disciplines participated. However, some study disciplines showed a low participation rate, hence, making the results not free from some bias. Discussion: This survey is exceptional as it integrates a great variety of health aspects. The incentive strategy demonstrated promising results. Future research should try to improve target-group-specific recruitment strategies for the traditionally underrepresented groups, such as males and specific study disciplines. This would not only include advancing marketing strategies, but also refining the incentive strategy.

Project description:BackgroundEconomically underdeveloped areas in western China are hotspots of tuberculosis, especially among students. However, the related spatial and temporal patterns and influencing factors are still unclear and there are few studies to analyze the causes of pulmonary tuberculosis in students from the perspective of space.MethodsWe collected data regarding the reported incidence of pulmonary tuberculosis (PTB) among students at township level in Nanning, from 2012 to 2018. The reported incidence of pulmonary tuberculosis among students in Nanning was analyzed using spatial autocorrelation and spatial scan statistical analysis to depict hotspots of PTB incidence and spatial and temporal clustering. Spatial panel data of the reported incidence rates and influencing factors at district and county levels in Nanning were collected from 2015 to 2018. Then, we analyzed the spatial effects of incidence and influencing factors using the spatial Durbin model to explore the mechanism of each influencing factor in areas with high disease prevalence under spatial effects.ResultsFrom 2012 to 2018, 1609 cases of PTB were reported among students in Nanning, with an average annual reported incidence rate of 14.84/100,000. Through the Joinpoint regression model, We observed a steady trend in the percentage of cases reported each year (P>0.05). There was spatial autocorrelation between the annual reported incidence and the seven-years average reported incidence from 2012 to 2018. The high-incidence area was distributed in the junction of six urban areas and spread to the periphery, with the junction at the center. The population of college students, per capita financial expenditure on health, per capita gross domestic product, and the number of health technicians per 1,000 population were all influencing factors in the reported incidence of PTB among students.ConclusionWe identified spatial clustering of the reported incidence of PTB among students in Nanning, mainly located in the urban center and its surrounding areas. The clustering gradually decreased from the urban center to the surrounding areas. Spatial effects influenced the reported incidence of PTB. The population density of college students, per capita health financial expenditure, gross domestic product (GDP) per capita, and the number of health technicians per 1,000 were all influencing factors in the reported incidence of PTB among students.

Dataset Information

Study-Related Work and Commuting Accidents among Students at the University of Mainz from 12/2012 to 12/2018: Identification of Potential Risk Groups and Implications for Prevention.

Publications

Study-Related Work and Commuting Accidents among Students at the University of Mainz from 12/2012 to 12/2018: Identification of Potential Risk Groups and Implications for Prevention.

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