Sentences with phrase «predicting health outcomes»

In adulthood, romantic relationships have been recognized as being particularly important in predicting health outcomes [7 — 10].

The study was conducted by Loyola's predictive analytics program, which mines large data sets to predict health outcomes.

Rapid and accurate disease risk profiling predicts health outcomes and allows responsive feedback on the effect of drug and lifestyle intervention strategies.

Marijuana use trajectories during college predict health outcomes nine years post-matriculation.

Not exact matches

Such risks and uncertainties include, but are not limited to: our ability to achieve our financial, strategic and operational plans or initiatives; our ability to predict and manage medical costs and price effectively and develop and maintain good relationships with physicians, hospitals and other health care providers; the impact of modifications to our operations and processes; our ability to identify potential strategic acquisitions or transactions and realize the expected benefits of such transactions, including with respect to the Merger; the substantial level of government regulation over our business and the potential effects of new laws or regulations or changes in existing laws or regulations; the outcome of litigation, regulatory audits, investigations, actions and / or guaranty fund assessments; uncertainties surrounding participation in government - sponsored programs such as Medicare; the effectiveness and security of our information technology and other business systems; unfavorable industry, economic or political conditions, including foreign currency movements; acts of war, terrorism, natural disasters or pandemics; our ability to obtain shareholder or regulatory approvals required for the Merger or the requirement to accept conditions that could reduce the anticipated benefits of the Merger as a condition to obtaining regulatory approvals; a longer time than anticipated to consummate the proposed Merger; problems regarding the successful integration of the businesses of Express Scripts and Cigna; unexpected costs regarding the proposed Merger; diversion of management's attention from ongoing business operations and opportunities during the pendency of the Merger; potential litigation associated with the proposed Merger; the ability to retain key personnel; the availability of financing, including relating to the proposed Merger; effects on the businesses as a result of uncertainty surrounding the proposed Merger; as well as more specific risks and uncertainties discussed in our most recent report on Form 10 - K and subsequent reports on Forms 10 - Q and 8 - K available on the Investor Relations section of www.cigna.com as well as on Express Scripts» most recent report on Form 10 - K and subsequent reports on Forms 10 - Q and 8 - K available on the Investor Relations section of www.express-scripts.com.

A new report shows that predicting for health outcomes and creating genetic fixes for common diseases is very difficult.

Because socio - economic status predicts both likelihood of breastfeeding and positive health outcomes, it (SES) confounds the results.

«If learning about adverse health outcomes helps them to predict patients at risk, then this is a perfectly reasonable way to make money,» he says.

Although self - appraisal of overall well - being may mediate physiologic responses to surgery, patient - reported health status has not been extensively studied among bladder cancer patients to date, and its utility in predicting postoperative outcomes, such as complications, has not been previously examined.»

These behaviors predict more serious adverse outcomes later in life, such as substance abuse, delinquency, and violence, explains study leader Anne Riley, PhD, professor in the Department of Population, Family, and Reproductive Health at the Johns Hopkins Bloomberg School of Health.

These family conditions have been shown to predict poor health and developmental outcomes, according to the authors.

Now, researchers have developed a model that can predict preemie outcomes with greater than 90 % accuracy — an advance that could help doctors identify the sickest babies and save billions of dollars in health care costs.

«While these observational data can not prove that treating patients based on the results of CTA testing will automatically result in better health outcomes, they do provide new information enabling a more informed choice of testing for patients with stable chest pain, especially for predicting future cardiovascular risk.»

New CSAIL research employs many types of medical data, including electronic health records, to predict outcomes in hospitals.

The ability of children to control impulsive behaviour and plan before action may be critical to their success in adult life; it has been suggested that possessing such self - control in childhood can predict health, relationship and career outcomes in adulthood.

«So far, we are finding that they do predict area - level health outcomes at various levels: zip code, census tract, county and state,» she says.

Dieting predicts weight gain and eating disorders, and intuitive eating leads to positive health outcomes.

Results show that kindergarten teachers» ratings of children's prosocial skills, such as kindness, sharing, and empathy, predicted adult outcomes such as higher educational attainment, stronger employment, and better mental health, in addition to reduced criminal activity and substance use.

Researchers found that teacher - rated social competence in kindergarten consistently predicted outcomes in education, employment, criminal justice, substance use, and mental health into adulthood.

The more I protested about this ambiguity, the more Joanna pointed out to me that it was both a terrible and wonderful part of life: terrible because you can't count on anything for sure — like certain good health and no possibility of cancer; wonderful because no human being knows when another is going to die — no doctor can absolutely predict the outcome of a disease.

• The readiness of the nation to predict and avoid public and occupational health problems caused by heat waves and severe storms • Characterization and quantification of relationships between climate variability, health outcomes, and the main determinants of vulnerability within and between populations • Development of reliable methods to connect climate - related changes in food systems and water supplies to health under different conditions • Prediction of future risks in response to climate change scenarios and of reductions in the baseline level of morbidity, mortality, or vulnerability • Identification of the available resources, limitations of, and potential actions by the current U.S. health care system to prevent, prepare for, and respond to climate - related health hazards and to build adaptive capacity among vulnerable segments of the U.S. population

Health data analytics allows systems to create holistic views of patients, personalise treatments, improve communication, and streamline services to save costs and predict better health ouHealth data analytics allows systems to create holistic views of patients, personalise treatments, improve communication, and streamline services to save costs and predict better health ouhealth outcomes

The model, the researchers said, was particularly adept at «predicting life outcomes such as substance use, political attitudes and physical health.»

Attention should also be given to developing disease - specific measures of daily hassles and social support, as they may better predict adaptation to chronic disease, adherence to medical regimens, and health outcomes compared to generic measures (La Greca & Schuman, 1999).

Despite controversies concerning the extent to which daily hassles are confounded with mental health outcomes, measuring daily hassles may be more useful than assessing major life events (e.g., parents divorce) in predicting psychological and somatic adaptational outcomes (Holm & Holroyd, 1992).

Advances in prevention in public health2 provide a model for prevention of adolescent health - risk behaviors by focusing on risk and protective factors predictive of these behaviors.3, 4 Research on the predictors of school failure, delinquency, drug abuse, teen pregnancy, and violence indicates that many of the same factors predict these different outcomes.5, 6 Recent research has shown that bonding to school and family protects against a broad range of health - risk behaviors in adoles cence.6 Yet, prevention studies typically have focused narrowly on a specific outcome, such as preventing substance abuse, and on attitudes and social influences that predict that outcome.7, 8 Previous studies on prevention have not sought to address the shared risk and protective factors for diverse health - risk behaviors that are the main threats to adolescent health.

The tendency for number of ACEs to predict health - risk behaviors and / or negative health outcomes has been reported in a number of subsequent studies as well, including those with more diverse samples than in the original investigation (e.g., Anderson & Blosnich, 2013; Mersky et al., 2013; Schilling, Aseltine, & Gore, 2007).

On the one hand, low self - control's capacity to predict health, wealth, and crime outcomes from childhood to adulthood was, in part, a function of mistakes our research participants made in the interim adolescent period.

Despite the predicted rise in poor health outcomes and increase in mental health and suicide rates, the accessibility of housing will be another major hurdle.

Fathers» absence at the 20 - week ultrasound, in particular, strongly predicts fathers» absence at the child's birth and should be considered a signal that a mother is at elevated risk for prenatal stress and adverse child health outcomes.

«There has been a lot of research on what predicts risky sexual behavior, but not a lot about how adolescents and young adults experience their sexual behavior and what might be some of the mental health and well - being outcomes,» Vasilenko said.

Childhood LD are over-represented among homeless adults with complex comorbidities and predict a range of poor health outcomes in adulthood, including mood and anxiety disorders, suicidal ideation, early and severe substance use and physical health problems.

Kaplow, J.B. and Widom, C.S. (2007) Age of onset of child maltreatment predicts long - term mental health outcomes.

Two primary outcomes are predicted: in comparison to the control treatment, BEST - YMH will produce a greater improvement in parental and youth mental health, and a larger number of youth engaging in individual treatments through the course of the family - based interventions.

Age of Onset of Child Maltreatment Predicts Long - Term Mental Health Outcomes Kaplow & Widom Journal of Abnormal Psychology, 116 (1), 2007 View Abstract Shows results that indicate early onset of maltreatment predict anxiety and depression in adulthood; later onset of maltreatment predicts behavioral problems in adPredicts Long - Term Mental Health Outcomes Kaplow & Widom Journal of Abnormal Psychology, 116 (1), 2007 View Abstract Shows results that indicate early onset of maltreatment predict anxiety and depression in adulthood; later onset of maltreatment predicts behavioral problems in adpredicts behavioral problems in adulthood.

Research most clearly demonstrating this relationship includes evidence that low childhood socioeconomic status (SES) predicts adult health outcomes, controlling for adult SES (13) and evidence that a harsh early family environment marked by abuse, conflict, cold nonnurturant parenting, or neglect predicts adverse health outcomes (12).

HRV also predicts long term health outcomes in the whitehall study.

In a study released in July 2015 that examined nearly 20 years of data from the Fast Track Research Project, researchers found that teacher - rated social competence in kindergarten consistently and significantly predicted outcomes in education, employment, criminal justice, substance use, and mental health into adulthood.

From a public health perspective, the ability to predict the course of antisocial behavior over the long term could help to focus limited societal resources on those with persistent antisocial behavior problems with complicated outcomes.

Understanding how and why certain types of early - life experiences predict better vs. worse health outcomes later in life.

Table 3 reports a series of OLS regression models predicting variations in mental health outcomes by marital status and spousal age gap.

Results show that kindergarten teachers» ratings of children's prosocial skills, such as kindness, sharing, and empathy, predicted adult outcomes such as higher educational attainment, stronger employment, and better mental health, in addition to reduced criminal activity and substance use.

We acknowledged that sex differences might reliably emerge for other types of outcomes (e.g., a woman's attractiveness might positively predict her offspring's health and survival more strongly than a man's attractiveness).

Research show that more neighbourhood cohesion predicts better development and behavioural outcomes in children.42 Despite the established benefits, neither authoritative parenting style nor neighbourhood cohesion has been studied as a moderator of the relationship between parental stress and child health.

In addition, the ACE Study list of preventable childhood adversities omits certain domains judged by many developmental researchers to be important in predicting long - term health and well - being outcomes.

Although additional efforts to refine an adverse childhood experience checklist that predicts later health outcomes has scientific merit, an argument can be made that enough is known about certain harmful childhood experiences22 that more testing of parts of this model should be carried out through experiment rather than correlation.

This allowed for an examination of the utility of the same risk models across different health - risk outcomes to determine whether models predict specific outcomes or general risk behavior.

For example, higher levels of depression have been shown to be predictive of poorer treatment outcomes for patients with chronic pain, 11 as well as higher health care costs over time.12 Equally, the presence of pain in people being treated for mood disturbance has predicted delayed responses to mood interventions.13 Therefore, improving our understanding of how chronic pain and depression are linked, and treating both components offers the prospect of enhancing treatment effects beyond the benefits of treating either condition alone.14

Socioeconomic factors are possible confounding variables that are known to predict physical health outcomes and were therefore included as control variables.