A complete clinical assessment, assessment of vascular risk factors, blood sample for the evaluation of serum CRP was obtained, and baseline depression severity was measured on Hamilton Depression Rating Scale (HDRS).
Lower Serum Zinc and Higher CRP Strongly Predict Prenatal Depression and Physio-somatic Symptoms, Which All Together Predict Postnatal Depressive Symptoms.
This study found an association between SF-36 physical health score and CRP in patients with depression, thereby showing the need to consider physical well-being in depression.
Decreased UA levels showed weak negative correlation with the presence of sadness and disturbed daily activities, higher CRP levels positively correlated with severe depression and the correlation between depression and fatigue was also observed (p < 0.05).
The significant relationship between CRP and depression in the underweight group suggested that not only obesity but also a low BMI could explain a substantial portion of the inflammation-depression link.
There were no longitudinal associations between DGIH/BMI and depression, and adjustment for IL-6 and C-reactive protein did not attenuate associations between IR/BMI and depression; however, the longitudinal analyses may have been underpowered.
Participants with a high CRP levels had a significantly higher rate of depression than did those with a low hs-CRP levels (25.1% vs. 19.8%, p = 0.007).
After additionally controlling for physical activity, elevated WBC count (p = 0.002) and decreased levels of urine cortisol (p = 0.05) remained significant predictors of PTSD course, and elevated WBC count (p = 0.001), CRP (p = 0.03), and fibrinogen (p = 0.02) remained significant predictors of depression course.
Our results suggest sex-specific differences with respect to two important clinical outcomes (i.e., anxiety and CRP in women and depression and glycemic control in men).
Fatigued bereaved individuals (33%; SF-36 energy/vitality score 0-45) had significantly higher CRP levels (p < .05) as compared to non-fatigued bereaved individuals and reported higher levels of pain (p < .001), greater stress (p < .001), depression (p < .001), and sleeping problems (p < .001), as well as poorer social functioning (p < .001) and general health (p < .001) than those in the non-fatigued group.
Numerous studies have shown associations between an on-going depression and elevated serum levels of the acute-phase reactant C-reactive protein (CRP).
Although previous data indicate that dyadic coping is associated with Hypothalamic-Pituitary-Adrenal (HPA-axis and C-reactive protein (CRP) separately, no study has reported on the ratio between these two systems and dyadic coping, despite this index of physiological homeostasis being associated with physical health and depression.
The specific aim of this study was to explore the relationships between biomarkers of neural health: nerve growth factor (NGF) and brain-derived neurotrophic factor (BDNF), immune health: interleukin 6 (IL-6), c-reactive protein (CRP), and cortisol, as well as the presence of depression, in physically active cannabis users (CU) and non-users (NU).
Both positive affect and life satisfaction were significantly related to lower CRP even after controlling for demographics and depression, in both the overall sample and chronically ill group.
Findings across the literature suggest that functional allelic variants of genes for interleukin-1beta (IL)-1β, tumor necrosis factor-alpha (TNF-α) and C-reactive protein (CRP), as well as genetic variations affecting T-cell function, may increase the risk for depression.
After adjusting for age, gender, BMI, smoking, and dyslipidemia-inducing antipsychotics, TC and LDL scores showed significant associations with depression [β = 0.13, p = 0.007; β = 0.14, p = 0.007], and with two inflammatory markers: CRP [β = 0.14, p = 0.007; β = 0.16, p = 0.007] and OPG [β = 0.14, p = 0.007; β = 0.11, p = 0.007].
Separate generalised estimating equation models estimated standardised associations between CRP and (i) baseline functional status and (ii) change in function over time, adjusting for demographics, vascular risk factors, social variables, cognition, and depression measured at baseline, and stroke and MI occurring during follow-up.