Sentences with phrase «group differences in risk»

Not exact matches

«In the financial industry, there's been a lot of debate, post — financial crisis, around different approaches to risk and gender difference,» says Brenda Trenowden, global head of funds at ANZ Banking Group in London and a member of the steering committee of the 30 % Club, which works to get more women on corporate boardIn the financial industry, there's been a lot of debate, post — financial crisis, around different approaches to risk and gender difference,» says Brenda Trenowden, global head of funds at ANZ Banking Group in London and a member of the steering committee of the 30 % Club, which works to get more women on corporate boardin London and a member of the steering committee of the 30 % Club, which works to get more women on corporate boards.

It's more accurate to say that each week we have a small, statistically insignificant and wholly unreliable forecast for the coming week's market direction, but that when grouped over a large number of instances, the differences in the average return / risk profile of different Market Climates are highly statistically significant.

«The [difference] between active and passive investing is that an active investor tries to beat the market on a risk - adjusted basis, while a passive investor tries to take the market return,» says Cullen Roche, founder of Orcam Financial Group in Encinitas, California.

Over a three - month period there was no statistically significant difference in injury risk between the pre-run stretching and non-stretching groups.

Flint and colleagues suggested that when midwives get to know the women for whom they provide care, interventions are minimised.22 The Albany midwifery practice, with an unselected population, has a rate for normal vaginal births of 77 %, with 35 % of women having a home birth.23 A review of care for women at low risk of complications has shown that continuity of midwifery care is generally associated with lower intervention rates than standard maternity care.24 Variation in normal birth rates between services (62 % -80 %), however, seems to be greater than outcome differences between «high continuity» and «traditional care» groups at the same unit.25 26 27 Use of epidural analgesia, for example, varies widely between Queen Charlotte's Hospital, London, and the North Staffordshire NHS Trust.

The strengths of the study include the ability to compare outcomes by the woman's planned place of birth at the start of care in labour, the high participation of midwifery units and trusts in England, the large sample size and statistical power to detect clinically important differences in adverse perinatal outcomes, the minimisation of selection bias through achievement of a high response rate and absence of self selection bias due to non-consent, the ability to compare groups that were similar in terms of identified clinical risk (according to current clinical guidelines) and to further increase the comparability of the groups by conducting an additional analysis restricted to women with no complicating conditions identified at the start of care in labour, and the ability to control for several important potential confounders.

However, graded inequalities by maternal education emerged in the intervention group -LCB- relative risk [RR] = 1.12 [95 % confidence interval (CI): 1.04, 1.20] for partial university and RR = 1.20 [95 % CI: 1.11, 1.31] for secondary education or less vs complete university; risk difference [RD] = 0.06 [95 % CI: 0.03, 0.09] and 0.10 [95 % CI: 0.06, 0.14], respectively -RCB-.

The corresponding risk differences were larger in the intervention group: 0.11 (95 % CI: 0.08, 0.15) for mothers with partial university and 0.10 (95 % CI: 0.06, 0.14) for mothers with secondary education or less.

In the control group, absolute risk differences of weaning before 12 months (vs mothers with complete university education) were 0.02 (95 % CI: 0.00, 0.04) for mothers with partial university and 0.04 (95 % CI: 0.02, 0.06) for those with secondary education or less.

Other strengths of the underpinning cohort study include high participation by midwifery units and trusts in England; the minimisation of selection bias through achievement of a high response rate and absence of self selection bias because of non-consent; and the ability to compare groups that were similar in terms of identified clinical risk.12 The economic evaluation was conducted according to nationally agreed design and reporting guidelines.15 26 Collection of primary unit cost data was thorough and accounted for regional differences in care patterns.

Absolute inequality measures reflect not only inequalities across socioeconomic subgroups but also public health importance of the outcome in consideration, and they could provide different, even contradictory, patterns of inequalities from relative measures in a given outcome.21, 22 However, measuring absolute inequality is often neglected in health inequalities research.23 Relative risks (RRs) and absolute risk differences (RDs) of discontinuing breastfeeding among mothers with lower education compared with mothers with complete university education (reference category) were separately estimated in the intervention and in the control group and then compared between the two groups.

No significant differences between groups were observed at six to seven months in the risk of underweight (RR 0.92, 95 % CI [0.54 to 1.58], stunting (RR 1.20, 95 % CI [0.57 to 2.53]-RRB-, or wasting (RR 0.42, 95 % CI [0.12 to 1.50]; 1 study / 370 infants) or at nine to ten months (underweight RR 0.93, 95 % CI [0.64 to 1.36]; stunting RR 1.21, 95 % CI [0.62 to 2.37]; wasting RR 0.82, 95 % CI [0.39 to 1.71]; 1 study / 319 infants).

Mean age at which infants first sat from lying did not differ between groups, and there was no evidence of a difference in pooled risk of a delay in walking until after 12 months (2 trials / 240 infants).

The last link addressed the issue best, I thought: «The increase in risk of severe maternal morbidities in non-white women seems to be independent of differences in age, socioeconomic and smoking status, body mass index, and parity between ethnic groups.»

So it makes no sense whatsoever to try and compare the two groups as you are attempting to, since you have no way of knowing whether the difference in death rate is due to the place of birth or due to the underlying conditions which make the women in question high risk.

Despite the care taken in this study to match the 3 groups, there may be differences regarding the women who chose home birth that placed them at either lower or higher risk for adverse outcomes that we are unable to measure.

To understand better the difference between the overall risk reduction and the reduction in those with a family history, Stuebe offers this analogy: Suppose the Los Angeles Lakers and a group of 5 - year - olds had a free - throw contest.

To highlight the differences in how men and women approach their financial commitments, research conducted last year by the Barclays Wealth Female Client Group showed that wealthy women, across the world, were less risk averse than men when it came to their investments.

This suggests that the results were not wholly driven by differences in lifestyle factors or ethnicity between the two groups, and may therefore point towards schizophrenia's direct role in increasing risk of diabetes.

«The lack of differences of the Aβ concentrations reported in this study between the groups with and without increased genetic risk of AD does not mean that ongoing pre-clinical neurodegeneration can be fully excluded in all young subjects,» says Dr. Lewczuk.

Though the standing - desk employees burned more calories than those with seated desks, the study found there were no between group differences in cardiometabolic health risk factors such as weight, percent body fat, blood pressure, and heart rate.

The results showed some increased risk for nonserious adverse effects in the medical cannabis group but no difference in the risk of serious adverse events.

They also plan to assess whether there are any differences in the risk factor associations among different racial groups.

Groups of cockroaches have consistently shy and bold members, whereas damselflies have shown differences in risk tolerance that stay the same from grubhood to adulthood.

Importantly, there was no difference in risk taking or preference for immediate rewards between solo drivers and drivers in mixed - age groups.

There is no significant difference in risk between these two groups.

Although differences in the environments in which people live often are suspected when asthma risks among populations differ, the new findings illustrate the importance of also considering genetic differences among ethnic groups in diagnosing and treating disease, said Esteban Burchard, MD, professor of bioengineering for the UCSF School of Pharmacy and the senior scientist for the study.

No significant difference was seen between the groups of patients in risk for intracranial bleeding (Table 2).

«There are differences in asthma prevalence in these three groups, so it's important to understand whether these are caused by environmental exposures or by differences in genetic risk factors.»

However, no statistically significant difference was seen in 2 - year PFS between patients in the intermediate - and high - risk groups.

Then again, in a randomized trial of high - cardiovascular - risk people who were given the Mediterranean diet supplemented with either nuts or free extra virgin olive oil and were compared with people on a low - fat diet, there was no difference in diabetes incidence between the 2 variants of the Mediterranean diet in comparison to the low fat diet group.

There were no significant differences in mortality risk observed between the «Healthy diet» group and the «Refined grains» or «Breakfast cereal» groups.

In the Nursesâ $ ™ Health Study (Wolk et al., 1999) there is a difference of 11.4 g of fiber between the highest and lowest intake groups (22.9 â $ «11.5) and a relative risk of 0.77 for total CHD.

Conclusion: There was no difference in weight loss or common risk factors between groups.

The reason for these differences is not well understood, but researchers believe that higher rates of vascular disease in these groups may also put them at greater risk for developing Alzheimer's.

And although such an approach is promising, as with any instructional reform strategy designed to bolster at - risk students» skills, the key in implementation will be accommodating differences, not only between linguistic and racial groups but also within them, while maintaining relentless attention to quality.

«Although there are differences of frequency of infection for various groups of dogs, all dogs in regions where mosquitoes are found should be considered at risk, placed on prevention programs, tested annually for heartworm disease, and examined frequently by a veterinarian,» advises Dr. Paul.

We are organised into internal practice groups and Addleshaw Goddard's key point of difference is the integration of experienced Financial Regulation lawyers with senior Compliance Directors specialising in operational governance, risk and compliance; combining sound technical and industry legal and consultancy experience.

«Risk adjustment plays an important stabilizing function in the individual and small group markets, leveling out the differences in risk among enrolled populations through payments to and from insurers,» said Academy Senior Health Fellow Cori UcceRisk adjustment plays an important stabilizing function in the individual and small group markets, leveling out the differences in risk among enrolled populations through payments to and from insurers,» said Academy Senior Health Fellow Cori Uccerisk among enrolled populations through payments to and from insurers,» said Academy Senior Health Fellow Cori Uccello.

The difference in the risk assessment between men and women in this age group is so big that it account for most of the lifetime difference in insurance costs between men and women.

There were no differences in positive chlamydia or HSV - 2 tests across study groups (Table 3) or STI risk after adjusting for variables known to influence STI rates (Table 4).

The finding of similar STI acquisition rates among study groups seems plausible given the lack of difference in self - reported measures of risk.

We did not observe a difference in pregnancy rates in women with either pharmacy access or advance provision; the adjusted risk of pregnancy for both treatment groups was not significantly less than 1.

The study aimed to: (1) explore possible differences and similarities in risk factors among adolescents with DSH and SA and (2) explore the role of impulsivity in these two groups.

Objectives The aim of this study was to investigate differences and similarities in risk factors for deliberate self - harm (DSH) and suicidal attempt (SA), and the role of impulsivity among a group of community adolescents.

There was also a significant difference in subjective depressive symptoms, with the at - risk group reporting a higher level of subjective depressive symptoms (measured using CES - D) than the not - at - risk.

There was a significant difference in scores with the at - risk group demonstrating lower levels of functioning.

No differences in childhood risk factors existed between the adult onset MDD group and the never depressed group except for being subjected to inappropriate sexual contact and more residence changes.

The Mann - Whitney U test and cross tabulations (χ2 tests) were used to compare demographic and risk factor differences between those who remained and those who dropped out in each group.

However, when they controlled for comorbid attention problems, they found that the difference in injury risk between the two groups all but disappeared, indicating to the researchers that attention problems, in children with or without autism, may be the real factor behind the increased injury risk seen in previous studies.