Background: Previous research has shown that metabolic syndrome as well as early life stress can account for immunoactivation (e.g. in the form of altered fibrinogen levels) in patients with major depression. This study aims at assessing the relationship between components of metabolic syndrome, early life stress and fibrinogen levels, taking the severity of depression into consideration.
Subjects And Methods: Measures of early life stress and signs of metabolic syndrome were collected in 58 adult inpatients diagnosed with depression. The relationships between the factors were assessed by means of path analyses. Two main models were tested: the first model with metabolic syndrome mediating between early life stress and fibrinogen levels and the second model without the mediating effect of metabolic syndrome.
Results: The first model was not supported by our data (χ²=7.02, df=1, p=0.008, CFI=0.00, NNFI=-9.44, RMSEA=0.50). The second model however provided an excellent fit for the data (χ²=0.02, df=1, p=0.90, CFI=1.00, NNFI=2.71, RMSEA=0.00). Extending the models by introducing severity of depression into them did not yield good indices of fit.
Conclusions: The developmental trajectory between early life stress and inflammation appears not to be mediated by metabolic syndrome associated factors in our sample. Possible reasons including severity and type of early life stress, as well as potential epigenetic influences are discussed.
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Public Health Nutr
January 2025
Queensland Brain Institute, The University of Queensland, 79 Upland Road, St Lucia, QLD Australia 4067.
Objective: Early education and care (ECEC) is part of the everyday life of most children in developed economies presenting exceptional opportunity to support nutrition and ongoing food preferences. Yet, the degree to which such opportunity is captured in policy-driven assessment and quality ratings of ECEC services is unknown.
Design: Abductive thematic analysis was conducted, guided by key domains of knowledge in nutrition literature and examining identified themes within these domains.
EClinicalMedicine
October 2024
Department of Oncology, Queen's University, Kingston, Canada.
Patients with cancer expect prolonged life (overall survival, OS) or better life (quality of life, QOL) from cancer treatments. However, majority of new cancer drugs are now being approved not based on improved OS or QOL, but based on surrogate endpoints such as tumor shrinkage or delayed tumor progression. These surrogate endpoints, including their validity as a proxy for overall survival, differ based on disease settings and lines of treatment but in general, most surrogate measures have weak correlation with outcomes that matter to patients.
View Article and Find Full Text PDFEClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
View Article and Find Full Text PDFEClinicalMedicine
December 2024
Nottingham Digestive Diseases Centre (NDDC), Translational Medical Sciences, School of Medicine, University of Nottingham, NG7 2UH, UK.
Background: Despite the availability of various pharmacological and behavioural interventions, alcohol-related mortality is rising. This systematic review aimed to critically evaluate the existing literature on the association between glucagon-like peptide-1 receptor agonists use (GLP-1 RAs) and alcohol consumption.
Methods: Electronic searches were conducted on Ovid Medline, EMBASE, PsycINFO, clintrials.
Front Allergy
December 2024
Respiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Background: Infant antibiotic use is associated with increased risk of asthma. We examined the population impact of antibiotic exposure in the first year of life on the burden of pediatric asthma in British Columbia, Canada, using simulation modeling.
Methods: We performed a Bayesian meta-analysis of empirical studies to construct dose-response equations between antibiotic exposure in the first year of life and pediatric (<19 years of age) asthma.
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