Evaluating the Validity of Depressive Symptomology as a Mediator Between Attributional Style and Heart Rate Variability in a Sample of Howard University Students.

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Overview

The purpose of this study is to evaluate the validity of depressive symptomology as a mediator between attributional style and heart rate variability in a sample of Howard University students. The study implemented a cross-sectional design consisting of 90 Howard University students. Participants were administered the ASQ to assess attributional style, and BDI-II and CES-D to determine levels depressive symptoms. HRV was obtained at rest, derived from the inter-beat intervals (IBI) based on the R waves of an electrocardiograph signal. Using CMetX software LogRSA (a measure of HRV) was computed reflecting parasympathetic influences on the heart. There were three major hypotheses of the study, (1) Negative attributional style will significantly predict total depression scores of both the BDI-II and CES-D (2) Depressive symptom scores will significantly predict measures of heart rate variability (HRV), and (3) Measures of depressive symptomology will mediate the relationship between negative attributional style and HRV. Females were slightly more depressed than males. None of the study hypotheses were found significant in the full sample. Negative attributional style was found to be a significant predictor of both BDI-II scores (beta = .55, p = .04), and CES-D scores (beta = .73, p = .03) in the female sample (hypothesis 1 confirmed); no other hypotheses were significant in the female sample. Both the BDI-II (beta = .215; p = .006) and CES-D (beta = .234; p = .004) were found to be significant predictors of IBI after controlling for confounding variables and other related cardiac predictors. The BDI-II and CES-D predicted 4.4% and 5% of the variance in IBI respectively. The findings support that attributional style is predictive of depressive symptomology in a female sample with moderately elevated depressive symptomology. Additionally, depressive symptomology significantly predicted IBI in the full sample.
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Product Details

  • BN ID: 2940043516275
  • Publisher: ProQuest LLC
  • Sold by: Barnes & Noble
  • Format: eTextbook
  • Pages: 103

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