scholarly journals Health-Risk Behaviour of Women and Men—Differences According to Partnership and Parenthood. Results of the German Health Update (GEDA) Survey 2009–2010

2018 ◽  
pp. 233-261
Author(s):  
Elena von der Lippe ◽  
Petra Rattay
Keyword(s):  
Health Risk ◽  
Risk Behaviour ◽  
Health Risk Behaviour ◽  
German Health

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 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.

scholarly journals Health Risk Behaviour as Depicted in the Media

2016 ◽  
Vol 3 (2) ◽  
Author(s):  
K. Lalitha ◽  
B. Venkata Subbaiah
Keyword(s):  
Health Risk ◽  
Risk Behavior ◽  
Risk Behaviour ◽  
Explanatory Models ◽  
Good Evidence ◽  
Health Risk Behavior ◽  
Health Risk Behaviour ◽  
High Quality Research ◽  
Cultural Variables ◽  
The Media

Media plays a very significant and influential role in our day today life. Everyday programs include advertisement and entertainment programmes like serials etc., but now a days, everyday at least five risky behaviours are witnessed by the public. The present study was planned to know the role of media in relation to health risk behavior. The selection of the sample was done randomly in Siddavatam village and Kadapa town. After obtaining prior information, the subjects were contacted individually at their home and explained the purpose of the study and seeking their co-operation. The obtained data was analyzed and results show that health risk behavior is commonly witnessed in the media and found less preventive measures to reduce health risk behaviour. The links between media consumption and smoking and alcohol use also are strong and there is good evidence that they are causal. Currently there is need of high-quality research to make it possible to say whether the links are causal. To better understand the effect of the media on youth risk behavior, researchers will have to develop comprehensive explanatory models that include socioeconomic and cultural variables.

How social context moderates the self-evaluative emotions experienced due to health risk behaviour

2011 ◽  
Vol 26 (10) ◽  
pp. 1344-1360 ◽  
Author(s):  
Judith D.M. Grob ◽  
Arie Dijkstra ◽  
Carla de Groot
Keyword(s):  
Social Context ◽  
Health Risk ◽  
Risk Behaviour ◽  
The Self ◽  
Health Risk Behaviour

scholarly journals Health, risk behaviour and consumption of addictive substances among physicians - results of an online survey

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Dominik Pförringer ◽  
Regina Mayer ◽  
Christa Meisinger ◽  
Dennis Freuer ◽  
Florian Eyer
Keyword(s):  
Health Risk ◽  
Online Survey ◽  
Risk Behaviour ◽  
Health Risk Behaviour
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