Summary of IPV and Cognition Regression Results

Trails A (logarithmic transformation)

Final Model 1: TrailsAtestSec ~ Age + PovStat + (Age | HNDid) + (1 | subclass)

Conclusions

  1. There is a significant main effect for Age (p < .001).

    -Overall, there is a statistically significant decline in performance with age on Trail Making Test Part A.

  2. There is a significant main effect for Poverty Status (p = .008)

    -Overall, living 125% or more below the poverty line predicted a statistically significant decline in performance on Trail Making Test Part A.

Trails A (logarithmic transformation with Depression as a Covariate)

Final Model 2: logTrailsA ~ Age + IPVstatus + PovStat + Sex + CES1 + (Age | HNDid) + (1 | subclass) + Age:IPVstatus + Age:PovStat + Age:Sex + Age:CES1 + IPVstatus:PovStat + IPVstatus:Sex + IPVstatus:CES1 + PovStat:Sex + PovStat:CES1 + Sex:CES1 + Age:IPVstatus:PovStat + Age:IPVstatus:Sex + Age:IPVstatus:CES1 + Age:PovStat:Sex + Age:Sex:CES1 + IPVstatus:PovStat:Sex + IPVstatus:Sex:CES1 + PovStat:Sex:CES1 + Age:IPVstatus:PovStat:Sex + Age:IPVstatus:Sex:CES1

Conclusions:

  1. ##(Unsure about this interpretation) There is a significant main effect for CES1 (p = .030).

    -Overall, clinically significant depressive symptomatology predicted a statistically significant decline in performance on Trail Making Test Part A.

  2. There is a significant interaction for Age*IPVstatus (p = .032).

    -Overall, a reported history of intimate partner violence predicted a statistically significant decline in performance on Trail Making Test Part A over time.

  3. There is a significant interaction for IPVstatus*PovStat (p = .024).

    -For participants with a reported history of IPV, living 125% or more below the poverty line predicted a statistically significant increase in completion time (worse performance) on Trail Making Test Part A.

  4. There is a significant interaction for IPVstatus*CES1 (p = .005).

    -For participants with a reported history of intimate partner violence, clinically significant depressive symptomatology predicted a statistically significant decrease in completion time (better performance) on Trail Making Test Part A.

  5. There is a significant interaction for PovStat*CES1 (p = .006).

    -For participants livng below the poverty line, clinically significant depressive symptomatology predicted a statistically significant decrease in completion time (better performance) on Trail Making Test A.

  6. There is a significant interaction for Sex*CES1 (p = .026).

    -For men, clinically significant depressive symptomatology predicted a statistically significant decrease in completion time (better performance) on Trail Making Test Part A.

  7. There is a significant interaction for Age*IPVstatus*PovStat (p = .004).

    -For participants with a reported history of IPV, living below the poverty line predicted a statistically significant increase in completion time (worse performance) on Trail Making Test A over time.

  8. There is a significant interaction for Age*IPVstatus*CES1 (p = .002).

    -For participants with a reported history of IPV, clinically significant depressive symptomatology predicted a statistically significant decrease in completion time (better performance) on Trail Making Test Part A over time.

  9. There is a significant interaction for IPVstatus*Sex*CES1 (p < .001).

    -For participants with a reported history of intimate partner violence, being a man with clinically significant depressive symptomatology predicted a statistically significant increase in completion time (worse performance) on Trail Making Test Part A.

  10. There is a significant interaction for Age*IPVstatus*Sex*CES1 (p = .008).

    -For men with clinically significant depressive symptomatology, a reported history of IPV predicted a statistically significant increase in completion time (worse performance) on Trail Making Test Part A over time.

    -Over time, non-depressed women's performance on TMT Part A was significantly more negatively impacted by IPV victimization than the performance of non-depressed men.

    -Over time, the performance of non-depressed women was more negatively impacted by IPV than the performance of depressed women on TMT Part A.

Trails B (with Logarithmic Transformation)

Final Model 1: TrailsBtestSec~Age + IPVstatus + Sex + PovStat + (Age | HNDid) + (1|subclass) + Age:PovStat + IPVstatus:Sex

Conclusions:

  1. There is a significant main effect for Poverty Status (p = .007).

    -Overall, living 125% or more below the poverty line predicted a statistically significant increase in completion time (worse performance) on Trail Making Test Part B.

  2. There is a significant interaction for Age*PovStat (p < .001).

    -Living 125% or more below the poverty line predicted a statistically significant increase in completion time (worse performance) on Trail Making Test Part B over time.

  3. There is a significant interaction for IPVstatus*Sex (p = .008).

    -For men, a reported history of intimate partner violence predicted a statistically significant increase in completion time (worse performance) on Trail Making Test Part B.

    -For participants with a reported history of intimate partner violence, identiying as a man predicted a statistically significant increase in completion time (worse performance) on Trail Making Test Part B.

Trails B (with Logarithmic Transformation and Depression as a Covariate)

Final Model 2: TrailsBtestSec ~ Age + IPVstatus + Sex + PovStat + CES1 + (Age | HNDid) + (1 | subclass) + Age:Sex + Age:PovStat + Age:CES1 + IPVstatus:Sex + Sex:CES1 + PovStat:CES1 + Age:Sex:CES1

Conclusions:

-SAME AS MODEL 1

Word Fluency

Final Model 1: FluencyWord ~ Age + Sex + PovStat + (Age | HNDid) + (1 | subclass)

Conclusions:

  1. There is a significant main effect for Sex (p = .003).

    -Identifying as male predicted a statistically significant improvement in performance (4.05 words) on the Animal Naming test.

  2. There is a significant main effect for Poverty Status (p = .019).

    -Living 125% or more below the poverty line predicted a statistically significant decline in performance (3.57 words) on the Animal Naming Test.

Word Fluency (With Depression as a Covariate)

Final Model 2: FluencyWord ~ Age + Sex + PovStat + (Age | HNDid) + (1 | subclass)

Conclusions:

-SAME AS MODEL 1