scholarly journals Skipping Breakfast and Its Association with Health Risk Behaviour and Mental Health Among University Students in 28 Countries

2020 ◽  
Vol Volume 13 ◽  
pp. 2889-2897
Author(s):  
Supa Pengpid ◽  
Karl Peltzer
Keyword(s):  
Mental Health ◽  
University Students ◽  
Health Risk ◽  
Risk Behaviour ◽  
Health Risk Behaviour ◽  
Skipping Breakfast

scholarly journals Practice and awareness of health risk behaviour among Egyptian university students

2004 ◽  
Vol 10 (1-2) ◽  
pp. 72-81
Author(s):  
A. Refaat
Keyword(s):  
University Students ◽  
Health Risk ◽  
Risk Behaviour ◽  
Cross Sectional Study ◽  
Sexual Relationships ◽  
Health Risk Behaviour ◽  
Risky Behaviour ◽  
Transmitted Infection ◽  
Cross Sectional ◽  
Adequate Knowledge

Health risk behaviour contributes markedly to today’s major killers. A descriptive cross-sectional study was conducted to assess current awareness and practice of health risk behaviour among Egyptian university students. Only 121 students [18%] were practising risky behaviour. Tobacco use, alcohol and drugs use and risky sexual behaviour were positively correlated. Multiple regression analysis revealed that the main determinants of risky behaviour were being a male, of older age, having a high allowance and having no attention to danger. About 30% of students lacked adequate knowledge on AIDS. Most of those who had sexual relationships did not use contraceptives or any method of protection from sexually transmitted infection. Main sources of knowledge were the media [38%] then peers [30%]

scholarly journals Spirituality as a determinant of health risk behaviour among black university students in Limpopo, South Africa

2017 ◽  
Vol 41 (1) ◽  
pp. 75-85
Author(s):  
S. Makhubela ◽  
S. Mashegoane
Keyword(s):  
South Africa ◽  
University Students ◽  
Health Risk ◽  
Risk Behaviour ◽  
Alcoholic Beverages ◽  
Risk Behaviours ◽  
Healthy Foods ◽  
Health Risk Behaviour ◽  
Health Risk Behaviours ◽  
Almost All

Data from 333 Black university students in Limpopo, South Africa were used to investigate the association between the spirituality dimensions of religious and existential wellbeing (RWB and EWB) and health risk behaviours. The mean scores of almost all health risk behaviours, with the exception of the daily eating of healthy foods, varied according to the levels of RWB (p ≤ 0.05). On the other hand, with regards to levels of EWB, the analysis of physical activity produced a gender by EWB interaction only, and the results pertaining to the drinking of alcoholic beverages were marginal (p ≤ 0.10). There was a marginal gender by EWB effect for cigarette and marijuana use (p ≤ 0.10), with a 0.019 effect size (partial eta squared) for each analysis, and a gender effect for both (p ≤ 0.001 and 0.01, respectively). Effectively, there were no instances of statistically significant main effect of EWB (p > 0.05). Apparently, the type or dimensionality of spirituality used is important, and future studies should investigate varied measures of the construct to establish its relationship with health risk behaviour.

Religiosity and Health Risk Behaviour Among University Students in 26 Low, Middle and High Income Countries

2016 ◽  
Vol 55 (6) ◽  
pp. 2131-2140 ◽  
Author(s):  
Karl Peltzer ◽  
Supa Pengpid ◽  
Omowale Amuleru-Marshall ◽  
Pempelani Mufune ◽  
Alaa Abou Zeid
Keyword(s):  
University Students ◽  
Health Risk ◽  
Risk Behaviour ◽  
High Income ◽  
Health Risk Behaviour

scholarly journals Smart Monitoring of Population Health Risk Behaviour

2019 ◽  
Vol 8 (1) ◽  
pp. 76-80
Author(s):  
Kirti Sundar Sahu ◽  
Arlene Oetomo ◽  
Plinio Morita
Keyword(s):  
Physical Activity ◽  
Health Risk ◽  
Health Agency ◽  
Health Indicators ◽  
Population Level ◽  
Risk Behaviour ◽  
Sensor Data ◽  
Health Risk Behaviour ◽  
Individual Level ◽  
Smart Technologies

Monitoring population-level health-risk behaviour is integral to preventing chronic diseases (i.e., diabetes, cardiovascular disease, cancer, etc.). Physical activity and sleep are the key behaviours which influence human health. Smart technologies can be used to improve real-time monitoring of risky behaviours. The objective of this study is to explore population- and individual-level remote monitoring of sleep, indoor physical activity and sedentary behaviours in Canada using data from the Internet of Things (IoT) (ecobee smart thermostat) and fitness trackers. Method: 386 person-hours of data were collected in a pilot study (n =8) to validate the motion sensor data from ecobee smart thermostats. Then, using “Donate your Data” data from ecobee indicators of population-level health were calculated. Results: A positive Spearman correlation coefficient 0.8 (p>0.0001) was found between standard fitness tracker data and ecobee sensors validating its use for population-level analysis. Our results were similar to the Public Health Agency of Canada’s results derived from self-reported surveillance methods. Discussion: This project demonstrates the use of data from non-health sources, like ubiquitous IoT to curate population- and individual-level health indicators. We will deliver novel indicators and insights into health status through the creation of user-centered designed dashboards for individuals, researchers, and policy-makers.

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