Policy Points The structural determinants of health are 1) the written and unwritten rules that create, maintain, or eliminate durable and hierarchical patterns of advantage among socially constructed groups in the conditions that affect health, and 2) the manifestation of power relations in that people and groups with more power based on current social structures work-implicitly and explicitly-to maintain their advantage by reinforcing or modifying these rules. This theoretically grounded definition of structural determinants can support a shared analysis of the root causes of health inequities and an embrace of public health's role in shifting power relations and engaging politically, especially in its policy work. Shifting the balance of power relations between socially constructed groups differentiates interventions in the structural determinants of health from those in the social determinants of health.
View Article and Find Full Text PDFJ Public Health Manag Pract
December 2022
Context: Within the field of public health, there is growing awareness of how complex social conditions shape health outcomes and the role that power plays in driving health inequities. Despite public health frameworks lifting up the need to tackle power imbalances to advance equity, there is little guidance on how to accomplish this as an integral part of health promotion.
Objective: This article addresses the need for public health professionals to better understand power and identifies opportunities for shifting power to achieve more equitable outcomes.
A capillary electrophoresis-mass spectrometry (CE-MS) method has been developed to perform routine, automated analysis of low-molecular-weight peptides in human serum. The method incorporates transient isotachophoresis for in-line preconcentration and a sheathless electrospray interface. To evaluate the performance of the method and demonstrate the utility of the approach, an experiment was designed in which peptides were added to sera from individuals at each of two different concentrations, artificially creating two groups of samples.
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