<p>Systemic inflammation is one potential
mechanism underlying the depression to cardiovascular disease (CVD)
relationship. In addition, somatic rather than cognitive/affective symptoms of depression
may be more predictive of poorer CVD outcomes due to systemic inflammation. However,
the small existing literature in this area has yielded mixed results. Therefore,
the present study aimed to examine longitudinal associations between depressive
symptom clusters and inflammatory biomarkers implicated in CVD (i.e.,
interleukin-6, IL-6; and C-reactive protein, CRP) using data from the eIMPACT trial.<b> </b>In addition, race was examined as a moderator given findings from two
previous studies. </p>
<p>The eIMPACT trial
was a phase II, single-center randomized controlled trial comparing 12 months
of the eIMPACT intervention to usual primary care for depression. Participants
were 216 primary care patients aged ≥ 50 years with a depressive disorder
and CVD risk factors but no clinical CVD from a safety net healthcare system (<i>M<sub>age</sub></i>
= 58.7 years, 78% female, 50% Black, <i>M</i><i><sub>education</sub></i> = 12.8 years). Depressive symptoms clusters (i.e., somatic and
cognitive/affective clusters) were assessed using the Patient Health
Questionnaire-9 (PHQ-9). IL-6 and high-sensitivity CRP were assessed by the local clinical research
laboratory using R&D Systems ELISA kits. Change
variables were modeled in MPlus using a latent difference score approach. </p>
<p>The results of
this study were largely null. Very few
associations between depressive symptom clusters and inflammatory biomarkers implicated
in CVD were observed, and the detected relationships may be due to type I error. Similarly, only one association was observed for race as a
moderator, and the detected relationship may be due to type I error. The present findings do not provide
strong support for the longitudinal associations between depressive symptom
clusters and inflammatory biomarkers implicated in CVD nor the moderating
effects of race. However, the present findings do not rule out the possibility
of these relationships given important study limitations, such as study design
and power. Future prospective cohort studies with multiple waves of data
collection are needed to determine the longitudinal associations between
depression facets and various inflammatory biomarkers implicated in CVD. In
addition, a biologically-based approach to identifying facets of depression –
e.g., the endophenotype model – may provide a clearer understanding of the
depression-inflammation relationship.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/16735441 |
| Date | 20 December 2021 |
| Creators | Jay Sunil Patel (11521522) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/LONGITUDINAL_RELATIONSHIPS_BETWEEN_DEPRESSIVE_SYMPTOM_CLUSTERS_AND_INFLAMMATORY_BIOMARKERS_IMPLICATED_IN_CARDIOVASCULAR_DISEASE_IN_PEOPLE_WITH_DEPRESSION/16735441 |
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