Krista Ekberg

Graduate Trainee, Rosalind Franklin University of Medicine and Science

1 active project

Inflammation and Depression

I aim to investigate the relationship between inflammation and depression, taking into account influential factors such as BMI, smoking habits, antidepressant medication usage, and physical activity. This research is important due to the existing association between inflammation and depression, and…

Scientific Questions Being Studied

I aim to investigate the relationship between inflammation and depression, taking into account influential factors such as BMI, smoking habits, antidepressant medication usage, and physical activity. This research is important due to the existing association between inflammation and depression, and the need to discern whether inflammation is an independent factor or a consequence of elevated BMI. By conducting this study in a representative sample of adults in the US, we strive to provide valuable insights into the interplay of these variables, contributing to a more nuanced understanding of the mechanisms underlying depression and its potential connections to inflammatory processes. The findings could have implications for both scientific understanding and public health interventions related to mental well-being.

Project Purpose(s)

  • Population Health
  • Educational

Scientific Approaches

-We will begin by examining the central tendencies, distributions, and variability of variables such as inflammation markers (e.g., CRP), depression scores, BMI, smoking habits, antidepressant medication usage, and physical activity levels within our representative sample of adults in the US.

-To explore the relationships between different variables, we will conduct bivariate correlation analyses. These correlations will serve as a foundation for further investigation.

-Our primary analytical approach involves regression analyses to assess the relationship between inflammation and depression while controlling for potential confounding variables. Multiple regression models will be employed to determine the extent to which inflammation is independently associated with depression when accounting for factors such as BMI, smoking, antidepressant medication usage, and physical activity.

Anticipated Findings

The anticipated findings from our study suggest a significant association between inflammation, measured by C-reactive protein (CRP), and depression, even after accounting for factors such as BMI. If our hypotheses are confirmed, the findings would strengthen the existing evidence linking inflammation to depressive symptoms. Utilizing a diverse sample of adults in the US ensures that our findings are representative of a broad spectrum of individuals. This contributes to the external validity of the study, allowing for the generalization of results to populations with various demographic and socio-economic characteristics.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Krista Ekberg - Graduate Trainee, Rosalind Franklin University of Medicine and Science

Collaborators:

  • Ronald Berkowsky - Early Career Tenure-track Researcher, California State University, Channel Islands
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