Sentence examples for distress model from inspiring English sources
His additional contributions to study of suicide include enhancement of Scambler's hidden distress model of stigma for NTDs, mental illness and other health problems; his tools for assessment continue to be used by other NTD, TB, HIV and mental health stigma researchers.
Prospective associations between gender and baseline social class and psychiatric distress at age 57 are then estimated with adjustment for baseline psychiatric distress (model C).
Adjustment is then made for baseline psychiatric distress (model B) in order to see how much of the gender and social class patterning of insomnia symptoms can be accounted for by initial distress.
First binary logistic regression analyses were conducted between each and separate explanatory variables with the outcome of our interest (mental distress) (Model I) and reported using crude Odds Ratios.
Notes: *p < 0.001; Model 1 - demographic variables; Model 2 - demographic variables and psychological distress; Model 3 - demographic variables and vascular risk factors; Model 4 - demographic variables, vascular risk factors and psychological distress.
A one-factor general psychological distress model was also examined to test proposals put forward by some authors concerning the use of the HADS as a unidimensional scale [ 10, 11].
No significant direct effects of a parental cancer history were observed in the parental distress models.
Ang-2 seems to be in the causal pathway linking rosetting frequency to respiratory distress (models 7, 12 and 13).
The CAGE items "Criticized" and "Felt bad or guilty" still significantly predicted an increase in spousal mental distress in model 4. In model 5, the effect of index person alcohol consumption increased, and still significantly predicted decreasing spousal mental distress.
Education, marital status and living in the eastern part of Oslo exhibited no significant association with psychological distress in Model 4, as contrasted to the analyses in Model 1.
This paper presents a financial distress prediction model that combines the approaches of neural network learning and logit analysis.
