Sentences with phrase «likely areas of risk»

It's impossible to completely avoid all risks, but here are a few ways to anticipate likely areas of risk and exercise some simple precautions to avoid them:

Not exact matches

«Technology can and will continue to create jobs in certain sections of the economy, but that will likely happen in what we've identified as the low - risk area,» admits Mullin.

Lowering our risk in these two areas is very likely to be one of the mechanisms involved with the diabetes - preventing benefits of green peas.

We believe that avocado is likely to provide you with health benefits in the areas of blood sugar control, insulin regulation, satiety and weight management, and decreased overall risk of unwanted inflammation.

Under this announcement, ARPA - E will fund energy technology projects that (1) translate scientific discoveries and cutting - edge inventions into technological innovations and (2) accelerate transformational technological advances in areas that industry is not likely to undertake independently because of high technical or financial risk.

For example, coastal areas or areas in the flood plain of a river are more likely to experience a natural disaster, whereas areas at higher elevation are at lower risk.

The fact that the number of residential buildings in coastal areas has increased significantly combined with the increasing risks of impacts of due climate change means that the cost of damage to coastal developments are likely to continue to rise.

Although heterosexual men seem to be at higher risk for HPV - positive oropharyngeal cancers (likely, researchers posit, because the virus tends to infect — and persist in — the genital area of female partners), men who have sex with men face an increased risk for HPV anal cancer.

The consequences of climate change are being felt not only in the environment, but in the entire socio - economic system and, as seen in the findings of numerous reports already available, they will impact first and foremost the poorest and weakest who, even if they are among the least responsible for global warming, are the most vulnerable because they have limited resources or live in areas at greater risk... Many of the most vulnerable societies, already facing energy problems, rely upon agriculture, the very sector most likely to suffer from climatic shifts.»

Lead researcher Prof Paul Hunter, from UEA's Norwich Medical School, said: «Our study has shown that the risk of dengue fever is likely to increase in Europe under climate change, but that almost all of the excess risk will fall on the coastal areas of the Mediterranean and Adriatic seas and the North Eastern part of Italy, particularly the Po Valley.»

Other research backs this up, showing that people with low levels of omega - 3s may be at increased risk of anxiety and depression, likely because these fats help maintain function in areas of the brain responsible for regulating mood and emotion.

A final area of likely benefit involves decreased risk of allergy — especially for individuals who have adverse reactions to certain grains and seek practical alternatives.

Referencing Prime Minister Thera May's comments that those at state schools are less likely to reach the top professions, the charity warns that without a focus on education in areas of the country being left behind, thousands of young people risk losing out.

Because of their decreased risks, condo owners in safer areas such as Collierville and Spring Hill will likely pay lower insurance rates than those in areas such as Memphis and Jackson, where burglary rates are elevated.

Windstorm insurance, also called wind and hail insurance, isn't required by the state of Texas, but it will likely be required by your mortgage lender if you live in a high - risk area.

A three - year study of euthanasia risks in a Philadelphia - area animal shelter concluded that adult dogs are most likely to die, purebred dogs are more likely to be reclaimed by owners, and that compilation of such information is necessary for the design of community intervention programs to reduce euthanasia of dogs and cats.

If you live in desert - like areas, you are likely aware of the risk of rattlesnakes around your home and the places you spend time outdoors.

I can only suggest that the residents at risk also «lawyer up» and demand that dam levels be kept low enough so that the dam can contain the inflow for sufficient enough time to allow evacuation of any and all areas likely to be at risk due to catastrophic failure.

The risk they face from wind energy facilities is likely greater during conditions of high winds, heavy rain, fog, or low cloud cover, which can affect flight altitude and bring them within the rotor - swept area of the turbines.

* 20 to 30 % of plant and animal species likely to be at increased risk of extinction * many millions more people than today projected to experience floods every year due to sea level rise * increases in malnutrition; increased deaths, diseases and injury due to extreme weather events; increased burden of diarrhoeal diseases; increased frequency of cardio - respiratory diseases due to higher concentrations of ground - level ozone in urban areas * hundreds of millions of people exposed to increased water stress

The aftermath of these fires will likely also have officials rethinking which areas are at risk for wildfire and better strategies for living in the «wildland - urban interface» — areas adjacent to wildlands that are at risk of fire.

For example, an analysis of the risks of sea level rise for the State of California evaluated the economic value of property at risk of flooding, as well as the size, economic status, and demographic backgrounds of the population living in areas vulnerable to flooding, area of wetland likely to be lost, and other metrics related to threatened transportation, energy, and water infrastructure (Heberger et al 2011).

In addition, the poor, minority groups, and people who live in areas downwind of multiple power plants are likely to be disproportionately exposed to the health risks and costs of fine particle pollution.

It describes the risks to agriculture and livelihood security in Sub-Saharan Africa; the rise in sea - level, loss of coral reefs and devastation to coastal areas likely in South East Asia; and the fluctuating water resources in South Asia that can lead to flooding in some areas and water scarcity in others, as well as affecting power supply.

Sea level rise due to global warming has already doubled the annual risk of coastal flooding of historic proportions across widespread areas of the United States... By 2030, many locations are likely to see storm surges combining with sea level rise to raise waters at least 4 feet above the local high - tide line.

Even for the capture of much smaller asteroids, there will likely be reservations from all areas of society, though the risks would be much less.»

The frequency of heavy precipitation events (or proportion of total rainfall from heavy falls) will be very likely to increase over most areas during the 21st century, with consequences for the risk of rain - generated floods.

Global warming is likely to increase the number of people at risk of dengue epidemics by expanding both the area suitable for the mosquito vectors and the length of dengue transmission season in temperate areas.

Adverse impacts are especially severe for the elderly, children, and those with respiratory disease.In addition, the poor, minority groups, and people who live in areas downwind of multiple power plants are likely to be disproportionately exposed to the health risks and costs of fine particle pollution.

It would most likely be a violation of Model Rule 1.1 to ignore remote backup in any state, but especially if you live in an area at risk of similar natural disasters.

Areas with increased blast exposure risks are most likely to suffer a TBI, but military personnel in nondeployed settings are still vulnerable to all the civilian causes of brain injury.

«You load them and Luminance will immediately tell you what they are, where they are from, which countries they are represented in, what languages and what type of documents they are, what clauses are contained within them, and flag up likely areas of hidden risk.»

As the insurance company loses the clients in that area who aren't willing to pay the premium they want to charge for what they have determined as the risk, their profitability or loss ratios will likely decrease and this is good for business for the insurance company and the remaining clients they insure, since the cost of claims is spread out over the many clients they have.

Because of the decreased risk of property crime, condos in safer areas such as Zephyr Cove will likely require lower insurance premiums than those in areas such as North Las Vegas.

If you live or are likely to drive through an area that has a high accident risk, you can be sure that your car insurance company knows about it, and that they are going to charge you accordingly to mitigate the risk of an expensive payout.

For example, if you are living in a complex unit, then the risk of fire is more likely as there are more people in the area.

For example, if you live in a city that has frequent auto accidents, your premium will likely be higher than that of someone who lives in a rural area that carries a low risk of auto accidents.

The second thing they look at is your relative risk; the more likely the insurance company is to pay out large sums of money for your policy, the more your rates will be (this is why drivers who have never been in an accident and homes in low - crime areas cost less to insure).

Because of their decreased risks, condo owners in safer areas such as Collierville and Spring Hill will likely pay lower insurance rates than those in areas such as Memphis and Jackson, where burglary rates are elevated.

In the next demographic group, we have 40 per cent of Edmontonians paying $ 57 or less a month in home insurance costs; this group most likely consists of condos, apartments, or small houses that are in low - risk areas.

They conclude that living in areas of localised high unemployment is likely to put otherwise vulnerable families at greater risk of child physical abuse and neglect (Gillham et al, 1998, p. 87).

A study revealed the reason why adolescents from rural area were at higher risk of alcohol use was likely that rural adolescent and peer attitudes regarding alcohol use are influenced by lower levels of parental less disapproval of adolescent alcohol use and the higher tolerance for alcohol use in rural communities [9].

Allowing children flexibility and freedom may result in positive outcomes when children live in safe areas and their peers are less likely to engage in dangerous behaviour, but in high - risk neighbourhoods, higher degrees of parental control might be necessary.

3 THE EXTENT AND CHARACTER OF HEALTH INEQUALITIES IN THE EARLY YEARS 3.1 Key findings about health inequalities in the first four years 3.2 Introduction 3.3 Pregnancy, birth and the first three months 3.3.1 Risk factors and health outcomes in the early years 3.3.2 Inequalities in the early stages 3.4 Health measures in the first four years of life 3.5 Overview of health outcomes 3.5.1 Physical health 3.5.2 Problems reported by parents 3.5.3 Psychosocial health 3.5.4 Body mass index 3.6 Inequalities in health outcomes 3.6.1 Area deprivation 3.6.2 Household income 3.6.3 Socio - economic classification (NS - SEC) 3.6.4 Conclusion 3.7 Exposure to risk factors likely to have an adverse impact on health 3.8 Inequalities in exposure to risk factors for poor health outcomes 3.8.1 Area deprivation 3.8.2 Houshold income 3.8.3 Socio - economic classification (NS - SEC) 3.8.4 Conclusion 3.9 Summary measure of negative outcomOF HEALTH INEQUALITIES IN THE EARLY YEARS 3.1 Key findings about health inequalities in the first four years 3.2 Introduction 3.3 Pregnancy, birth and the first three months 3.3.1 Risk factors and health outcomes in the early years 3.3.2 Inequalities in the early stages 3.4 Health measures in the first four years of life 3.5 Overview of health outcomes 3.5.1 Physical health 3.5.2 Problems reported by parents 3.5.3 Psychosocial health 3.5.4 Body mass index 3.6 Inequalities in health outcomes 3.6.1 Area deprivation 3.6.2 Household income 3.6.3 Socio - economic classification (NS - SEC) 3.6.4 Conclusion 3.7 Exposure to risk factors likely to have an adverse impact on health 3.8 Inequalities in exposure to risk factors for poor health outcomes 3.8.1 Area deprivation 3.8.2 Houshold income 3.8.3 Socio - economic classification (NS - SEC) 3.8.4 Conclusion 3.9 Summary measure of negative outcRisk factors and health outcomes in the early years 3.3.2 Inequalities in the early stages 3.4 Health measures in the first four years of life 3.5 Overview of health outcomes 3.5.1 Physical health 3.5.2 Problems reported by parents 3.5.3 Psychosocial health 3.5.4 Body mass index 3.6 Inequalities in health outcomes 3.6.1 Area deprivation 3.6.2 Household income 3.6.3 Socio - economic classification (NS - SEC) 3.6.4 Conclusion 3.7 Exposure to risk factors likely to have an adverse impact on health 3.8 Inequalities in exposure to risk factors for poor health outcomes 3.8.1 Area deprivation 3.8.2 Houshold income 3.8.3 Socio - economic classification (NS - SEC) 3.8.4 Conclusion 3.9 Summary measure of negative outcomof life 3.5 Overview of health outcomes 3.5.1 Physical health 3.5.2 Problems reported by parents 3.5.3 Psychosocial health 3.5.4 Body mass index 3.6 Inequalities in health outcomes 3.6.1 Area deprivation 3.6.2 Household income 3.6.3 Socio - economic classification (NS - SEC) 3.6.4 Conclusion 3.7 Exposure to risk factors likely to have an adverse impact on health 3.8 Inequalities in exposure to risk factors for poor health outcomes 3.8.1 Area deprivation 3.8.2 Houshold income 3.8.3 Socio - economic classification (NS - SEC) 3.8.4 Conclusion 3.9 Summary measure of negative outcomof health outcomes 3.5.1 Physical health 3.5.2 Problems reported by parents 3.5.3 Psychosocial health 3.5.4 Body mass index 3.6 Inequalities in health outcomes 3.6.1 Area deprivation 3.6.2 Household income 3.6.3 Socio - economic classification (NS - SEC) 3.6.4 Conclusion 3.7 Exposure to risk factors likely to have an adverse impact on health 3.8 Inequalities in exposure to risk factors for poor health outcomes 3.8.1 Area deprivation 3.8.2 Houshold income 3.8.3 Socio - economic classification (NS - SEC) 3.8.4 Conclusion 3.9 Summary measure of negative outcrisk factors likely to have an adverse impact on health 3.8 Inequalities in exposure to risk factors for poor health outcomes 3.8.1 Area deprivation 3.8.2 Houshold income 3.8.3 Socio - economic classification (NS - SEC) 3.8.4 Conclusion 3.9 Summary measure of negative outcrisk factors for poor health outcomes 3.8.1 Area deprivation 3.8.2 Houshold income 3.8.3 Socio - economic classification (NS - SEC) 3.8.4 Conclusion 3.9 Summary measure of negative outcomof negative outcomes

While rates of risky / high risk drinking were similar for Indigenous peoples in remote and non-remote areas, people in remote areas were nearly three times as likely as those in non-remote areas to report never having consumed alcohol (18 % compared with 6 %).

«Although only 1.3 percent of all U.S. mortgages are likely to be impacted by the capping of the mortgage interest deduction, it poses a risk to large urban areas with high - priced housing stock,» says realtor.com ® Senior Economist Joseph Kirchner, Ph.D. «The No. 1 area with the greatest risk to its home prices and sales is Washington, D.C., followed by California, Hawaii, Massachusetts and New York.»

It can be an overwhelming task, especially in areas at frequent risk of flooding, but REALTORS ® who offer that additional peace of mind are more likely to enjoy success.