Sentences with phrase «specific differences in risk»

In a cross-sectional study, patients with T2DM featured sex - specific differences in risk factors for peripheral arterial disease (316).

Not exact matches

More research into the effects of legal body checking, including specific attention to injury risk attributable to differences in size and physical maturity.

«Shifting bacterial communities in the stomach may influence cancer risk: Microbe changes linked with specific conditions could explain differences in risk and type of tumor.»

«These findings clearly indicate the need for further study,» said Dr. Lipshultz, while pointing to one of the study's key conclusions: «Subclinical differences in left ventricular structure and function with specific in - utero antiviral exposures indicate the need for a longitudinal study to assess long - term cardiac risk and cardiac monitoring recommendations.»

Her research findings showed that not only are there differences for women in some of the risk factors for addiction, but gender - specific treatment can also enhance treatment outcomes for women with substance use disorders.

Furthermore, sex - specific differences in gene polymorphism are suggested by one study showing that diabetic women carrying ACE D allele have a higher risk for development of diabetic nephropathy, which was not seen in diabetic men (Table 2)(331).

Sex - specific differences in the ANKK1 (rs1800497) polymorphism of dopamine receptor D2 in humans were reported with increased risk for T2DM in women, which could not be found in men (193).

Whereas Contract for Difference (CFD) trading protects investors from stock specific risks or a declining market, choosing to invest heavily in emerging technologies or economies leaves a trader exposed to the threat -LSB-...]

Whereas Contract for Difference (CFD) trading protects investors from stock specific risks or a declining market, choosing to invest heavily in emerging technologies or economies leaves a trader exposed to the threat of significant losses.

These differences in growth rates explain why large and giant breeds have a greater risk of disorders associated with growth and highlight the fact that the requirements of puppies of different breeds are not the same and must be tailored to specific needs.

Notwithstanding these gender - specific risk and protective factors, in most cases, the same factors — ADHD, negative temperament, impulsivity, compromised intelligence — predict antisocial behavior in both males and females, as suggested by the substantial overlap shown in figure 4.99 Although some analysts have argued the need to concentrate on the commonalities in predictors of male and female offending, it is also important to note the areas in which risk factors differ by gender.100 Even if the differences between male and female offenders are confined to only a few key areas, the differences in these areas — for example, sensitivity to victimization, timing of onset of persistent offending, prevalence of mental health problems — can be substantial and can profoundly influence the effectiveness of risk assessments and treatment programs.

Although the lack of case - specific socioeconomic data is a limitation of this study, other than the prevalence - of - risk findings, which have been shown to be sensitive to socioeconomic differences, the reliability and CFA findings reported in this study are statistically meaningful even in nonrepresentative samples.

As noted in the previous chapter, health inequalities can be fairly broadly defined to include differences in: specific health outcomes (such as low birthweight, obesity, long - term conditions, accidents); health related risk factors that impact directly on children (such as poor diet, low levels of physical activity, exposure to tobacco smoke); as well as exposure to wider risks from parental / familial behaviours and environmental circumstances (maternal depression and / or poor physical health, alcohol consumption, limited interaction, limited cognitive stimulation, poor housing, lack of access to greenspace).

This class explores personal, political and clinical issues of race and gender in eating disorder treatment including differences between gender roles, sexual orientation and gender identity as well as specific risk and protective factors, the impact of oppression and assimilation stress on identity development, and culturally relevant treatment implications.

An extensive review of the unique and interactive functions across neurobiological regions is beyond the scope of this brief report, and thus we highlight several specific and robust examples in which emotion regulation difficulties manifest as neurobiological differences and help explain risk for comorbid disorders among youths.

Constructed without a priori knowledge about the types of intradyad dynamics that might be identified in 42 - occasion data, the emergence of group differences suggests the method can capture different types of dynamics and help us further understand the specific features of everyday dyad - level function that indicate risk and / or resilience.