OBJECTIVE: This study tested a structural model, examining the relationship between a latent variable termed demoralization and measured variables (anxiety, depression and hopelessness) in a community sample of Canadian youth. METHODS: The combined sample consisted of data collected from four independent studies from 2001 to 2005. Nine hundred and seventy one (n=971) participants were high school students (grades 10-12) from three geographic locations: Calgary, Saskatchewan and Lethbridge. Participants completed the Beck Anxiety Inventory (BAI), Beck Depression Inventory-Revised (BDI-II), Beck Hopelessness Scale (BHS), and demographic survey. Structural equation modeling was used for statistical analysis. RESULTS: The analysis revealed that the final model, including depression, anxiety and hopelessness and one latent variable demoralization, fit the data (chi-square value, X(2) (2) = 7.25, p< .001, goodness of fit indices (CFI=0.99, NFI=0.98) and standardized error (0.05). Overall, the findings suggest that close relationships exist among depression, anxiety, hopelessness and demoralization that is stable across demographic variables. Further, the model explains the relationship between sub-clinical anxiety, depression and hopelessness. CONCLUSION: These findings contribute to a theoretical framework, which has implications for educational and clinical intervention. The present findings will help guide further preventative research on examining demoralization as a precursor to sub-clinical anxiety and depression.
OBJECTIVE: This study tested a structural model, examining the relationship between a latent variable termed demoralization and measured variables (anxiety, depression and hopelessness) in a community sample of Canadian youth. METHODS: The combined sample consisted of data collected from four independent studies from 2001 to 2005. Nine hundred and seventy one (n=971) participants were high school students (grades 10-12) from three geographic locations: Calgary, Saskatchewan and Lethbridge. Participants completed the Beck Anxiety Inventory (BAI), Beck Depression Inventory-Revised (BDI-II), Beck Hopelessness Scale (BHS), and demographic survey. Structural equation modeling was used for statistical analysis. RESULTS: The analysis revealed that the final model, including depression, anxiety and hopelessness and one latent variable demoralization, fit the data (chi-square value, X(2) (2) = 7.25, p< .001, goodness of fit indices (CFI=0.99, NFI=0.98) and standardized error (0.05). Overall, the findings suggest that close relationships exist among depression, anxiety, hopelessness and demoralization that is stable across demographic variables. Further, the model explains the relationship between sub-clinical anxiety, depression and hopelessness. CONCLUSION: These findings contribute to a theoretical framework, which has implications for educational and clinical intervention. The present findings will help guide further preventative research on examining demoralization as a precursor to sub-clinical anxiety and depression.
Authors: Micah S Brosbe; Caitlin C Thompson; Ximena C Flanders; Alyssa Day; Cynthia Ward; Keith J Slifer Journal: J Clin Psychol Med Settings Date: 2022-05-12
Authors: Paolo Iliceto; Maurizio Pompili; David Lester; Xenia Gonda; Cinzia Niolu; Nicoletta Girardi; Zoltán Rihmer; Gabriella Candilera; Paolo Girardi Journal: Depress Res Treat Date: 2011-07-21
Authors: Julius Y Fonsah; Alfred K Njamnshi; Charles Kouanfack; Fang Qiu; Dora M Njamnshi; Claude T Tagny; Emilienne Nchindap; Léopoldine Kenmogne; Dora Mbanya; Robert Heaton; Georgette D Kanmogne Journal: PLoS One Date: 2017-01-31 Impact factor: 3.240
Authors: Georgette D Kanmogne; Fang Qiu; Félicien E Ntone; Julius Y Fonsah; Dora M Njamnshi; Callixte T Kuate; Roland F Doh; Anne M Kengne; Claude T Tagny; Emilienne Nchindap; Léopoldine Kenmogne; Dora Mbanya; Mariana Cherner; Robert K Heaton; Alfred K Njamnshi Journal: PLoS One Date: 2017-02-23 Impact factor: 3.240