Sentence examples for predictors of negative from inspiring English sources

Sadness and distress proved to be the best predictors of negative affectivity in university students.

A regression analysis identified several important psychosocial and cognitive behavioral predictors of negative outcomes associated with generalized PIU.

This investigation was guided by the stress process model and had two objectives: first, to describe the extent of negative caregiving effects for family caregivers of veterans with dementia, and second, to identify salient predictors of negative caregiving effects.

According to the APA, one of the predictors of negative psychological effects as a result of an abortion is due to "the perceptions of stigma, need for secrecy, and low or anticipated social support for (an) abortion decision". Stigma created by anti-abortion advocates and policies, not the abortion procedure itself, is actually what can have an impact on our mental health.

Predictors of negative vocational prognosis for healthcare workers are unknown.

However, it also shows that physical resources are identified as strong predictors of negative evolution towards a critical phase.

Bleeding is a major independent predictor of negative long-term outcomes including death, predisposes patients to transfusions, and attenuates the ability to administer cardioprotective post-procedural anticoagulation.

In the nonstress condition only level of pain intensity was an independent predictor of negative affectivity (model R2 =.16), with 69% of the total model variance accounted for by maximum pain intensity.

Results from correlations and Structural Equation Modeling using AMOS 6 indicated that direct personality effects on driving outcomes were few, whereas personality had significant correlations with aberrant driving behavior, showing that personality is a distal but important predictor of negative driving outcomes.

Audit Integrity claims that its scoring system has proved to be a statistically reliable predictor of negative events, such as U.S. Securities and Exchange Commission enforcement actions, delays in financial reporting, shareholder litigation or bankruptcy filings.

RESULTS: Hierarchical linear regression analyses demonstrated that even after controlling for important demographic variables, self-compassion was a significant predictor of negative affect (β=-0.48, P<0.001), positive affect (β=0.29, P=0.01), pain catastrophizing (β=-0.32, P=0.003), and pain disability (β=-0.24, P<0.05).