scholarly journals Smart Monitoring of Population Health Risk Behaviour

Author(s):  
Kirti Sundar Sahu ◽  
Arlene Oetomo ◽  
Plinio Morita

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.

2004 ◽  
Vol 10 (1-2) ◽  
pp. 72-81
Author(s):  
A. Refaat

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%]


2016 ◽  
Vol 3 (2) ◽  
Author(s):  
K. Lalitha ◽  
B. Venkata Subbaiah

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.


2018 ◽  
Vol 47 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Gro Beate Samdal ◽  
Eivind Meland ◽  
Geir Egil Eide ◽  
Sveinung Berntsen ◽  
Eirik Abildsnes ◽  
...  

Aims: The aim of this study was to evaluate the effect of behaviour change interventions at Norwegian Healthy Life Centres (HLCs) on participants’ moderate to vigorous intensity physical activity (MVPA) six months after baseline. We also explore predictors of change in MVPA, and if level of education and MVPA at baseline modify the effect. Methods: A randomised controlled trial with inclusion criteria age ⩾ 18 years and ability to participate in group-based physical activity. Participants were randomised to either behaviour change interventions or a waiting list (control). Objective recordings of physical activity were the main outcome, analysed with simple and multiple linear regression. Results: We recruited 118 participants from six HLCs. Participants with mental, musculoskeletal, or chronic somatic disease were more likely to drop out. We revealed no differences in MVPA or sedentary time between the groups. Types of motivation or several characteristics of disadvantage at baseline could not explain changes in MVPA. Across both groups, 83% achieved the recommended 150 minutes of MVPA per week, and participants with a lower level of education were less likely to improve. Participants in the intervention group who were least active at baseline significantly increased their MVPA. Conclusions: The study revealed that the intervention had no short-term effect on time spent on MVPA or sedentary. This study does not support a strong emphasis on behaviour change on an individual level as a way of targeting general health and risk reduction at a population level. Although less active people benefitted more from the HLC intervention, the intervention was unable to counteract widening of inequity across educational groups.


2011 ◽  
Vol 26 (10) ◽  
pp. 1344-1360 ◽  
Author(s):  
Judith D.M. Grob ◽  
Arie Dijkstra ◽  
Carla de Groot

Author(s):  
Dominik Pförringer ◽  
Regina Mayer ◽  
Christa Meisinger ◽  
Dennis Freuer ◽  
Florian Eyer

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