| Autor: |
Nina Bertele, Alexander Karabatsiakis, Anat Talmon, Claudia Buss |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Brain, Behavior, & Immunity - Health, Vol 21, Iss , Pp 100432- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2666-3546 |
| DOI: |
10.1016/j.bbih.2022.100432 |
| Popis: |
Background: Chronic systemic inflammation has been linked to premature mortality and limited somatic as well as mental health with consequences for capability to work and everyday functioning. We recently identified three biochemical clusters of endocrine and immune parameters (C-reactive protein (CRP), interleukin-6 (IL-6), fibrinogen, cortisol and creatinine) in participants, age 35–81 years, of the open access Midlife in the United States Study (MIDUS) dataset. These clusters have been validated in an independent cohort of Japanese mid-life adults. Among these clusters, the one characterized by high inflammation coupled with low cortisol and creatinine concentrations was associated with the highest disease burden, referred to as high-risk cluster in the following. The current study aims to further examine the nature of this cluster and specifically whether it predicts mortality and the reported inability to work the last 30 days 10 years after the biomarker assessment. Methods and findings: Longitudinally assessed health data from N = 1234 individuals were analyzed in the current study. Logistic regression analyses were performed to predict mortality within one decade after first assessment (T0 = first assessment; T1 = second assessment). General linear models were used to predict the number of days study participants were unable to work due to health issues in the last 30 days (assessed at T1, analyses restricted to individuals |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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