Predicting microcystin concentrations in lakes and reservoirs at a continental scale: A new framework for modelling an important health risk factor

2017 ◽  
Vol 26 (6) ◽  
pp. 625-637 ◽  
Author(s):  
Zofia E. Taranu ◽  
Irene Gregory-Eaves ◽  
Russell J. Steele ◽  
Marieke Beaulieu ◽  
Pierre Legendre
Keyword(s):  
Risk Factor ◽  
Health Risk ◽  
Continental Scale ◽  
Important Health ◽  
Lakes And Reservoirs ◽  
Health Risk Factor ◽  
New Framework

scholarly journals Adherence, Compliance, and Health Risk Factor Changes following Short-Term Physical Activity Interventions

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Lynda H. Norton ◽  
Kevin I. Norton ◽  
Nicole R. Lewis
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Risk Factor ◽  
Health Risk ◽  
Group Versus ◽  
Physical Activity Interventions ◽  
Before And After ◽  
Important Health ◽  
Fitness Parameters ◽  
Health Risk Factor

Background.Low physical activity (PA) levels are associated with poor health risk factor profiles. Intervention strategies to increase PA and quantify the rate and magnitude of change in risk factors are important.Methods.Interventions were conducted over 40 days to increase PA in 736 insufficiently active (<150 min/wk PA) participants using either a pedometer or instructor-led group protocol. There were a further 135 active participants as controls. Major cardiovascular and metabolic risk factors, including fitness parameters, were measured before and after intervention.Results.Adherence to the interventions was higher for the group versus pedometer participants (87.1% versus 79.8%) and compliance rates for achieving sufficient levels of PA (≥150 min/wk) were also higher for the group participants (95.8% versus 77.6%). Total weekly PA patterns increased by 300 and 435 minutes, for the pedometer and group participants, respectively. Improvements were found for waist girth, total cholesterol, aerobic fitness, and flexibility relative to controls. The change in vigorous PA, but not moderate PA, was a significant predictor of the change in eight of 11 risk factor variables measured.Conclusions.Rapid and dramatic increases in PA among previously insufficiently active adults can result in important health benefits.

scholarly journals Overuse of Medical Tests: A New Health Risk Factor?

2016 ◽  
Vol 29 (9) ◽  
pp. 497 ◽  
Author(s):  
Carlos Martins
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Health Risk ◽  
Risk Reduction ◽  
Practice Patterns ◽  
Medical Overuse ◽  
Risk Reduction Behavior ◽  
Reduction Behavior ◽  
Medical Tests ◽  
Health Risk Factor

Keywords: Medical Overuse; Practice Patterns, Physicians; Risk Factors; Risk Reduction Behavior.

Pesticide Contamination and Human Health Risk Factor

2017 ◽  
pp. 49-68 ◽  
Author(s):  
Ngangbam Sarat Singh ◽  
Ranju Sharma ◽  
Talat Parween ◽  
P. K. Patanjali
Keyword(s):  
Risk Factor ◽  
Health Risk ◽  
Human Health ◽  
Human Health Risk ◽  
Pesticide Contamination ◽  
Health Risk Factor

Tobacco as Global Health Risk Factor

2021 ◽  
pp. 617-677
Author(s):  
Douglas Bettcher ◽  
Juliette McHardy ◽  
Hebe Gouda ◽  
Ranti Fayokun
Keyword(s):  
Risk Factor ◽  
Global Health ◽  
Health Risk ◽  
Health Risk Factor

Injuries as Global Health Risk Factor

2021 ◽  
pp. 823-854
Author(s):  
Jagnoor Jagnoor ◽  
Margie Peden
Keyword(s):  
Risk Factor ◽  
Global Health ◽  
Health Risk ◽  
Health Risk Factor

High BMI: an important health risk factor among older adults in Ghana

2020 ◽  
pp. 1-8
Author(s):  
E Yorke ◽  
J Tetteh ◽  
Vincent Boima ◽  
AE Yawson
Keyword(s):  
Risk Factor ◽  
Health Risk ◽  
Prevalence Rate ◽  
Chronic Conditions ◽  
Communicable Disease ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
World Health ◽  
Health Risk Factor ◽  
The Individual

Abstract Objective: We examined BMI as a health risk factor for self-reported diabetes mellitus, angina, strokes and arthritis among older Ghanaians aged 50 years and above. Design: We analysed the individual-level data from the World Health Organization Study on global AGEing and adult health Ghana Wave 2 (2014/2015). The influence of BMI on self-reported chronic conditions including diabetes, angina, stroke and arthritis was examined. Setting: Households from all the administrative regions of Ghana. Participants: Included 3350 adults aged 50 years and older. Results: The prevalence of overweight and obesity among participants was 22·8 % (95 % CI 20·6, 25·2) and 13·2 %, respectively (95 % CI 11·5, 15·1). With respect to individual chronic conditions, arthritis emerged with the highest prevalence rate of 7·3 (95 % CI 5·3, 9·9), while the prevalence rate of diabetes, angina and stroke was 2·8 % (95 % CI 2·0, 3·9), 1·7 % (95 % CI 1·1, 2·6) and 1·3 % (95 % CI 1·0, 1·8), respectively. The risk of diabetes among overweight and obesity was over three and two times, respectively, higher compared with participants with normal weights. Overweight and obesity were significantly more than two and three times likely to experience angina, respectively, compared with participants with normal weight. Obesity significantly influences arthritis with approximately two times increased odds compared with normal weight participants. Conclusion: Prevalence of obesity and overweight in Ghana is high and increasing, which poses a health risk at the individual and population levels. Inter-sectorial and multidisciplinary measures in line with the national non-communicable disease policies aimed at curbing this trend are imperative.

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