Allostatic Load in Parents and Offspring: Sex Differences and Intergenerational Effects on Cardiovascular Disease-Free Survival.

Background: Allostatic load (AL), a measure of cumulative stress-related physiological dysregulation, predicts the onset of chronic diseases. We investigated the relationship between AL and cardiovascular disease (CVD)-free survival in parents and offspring, including sex-specific differences.

Methods: The analysis consisted of 6145 offspring-mother-father trios derived from the Framingham Heart Study.

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.

Evaluation of a Medical Fitness Referral Program at a Single Institution From 2015 to 2022.

Purpose: To assess whether biometric data of participants (i.e., weight, body mass index (BMI), body fat percentage (BFP), heart rate, and blood pressure) would be statistically different from pre- to post-program assessments after completion of a single institution medical fitness referral program.

Zinc and copper effect mechanical cell adhesion properties of the amyloid precursor protein.

The amyloid precursor protein (APP) can be modulated by the binding of copper and zinc ions. Both ions bind with low nanomolar affinities to both subdomains (E1 and E2) in the extracellular domain of APP. However, the impact of ion binding on structural and mechanical trans-dimerization properties is yet unclear.