A Community-Based Participatory Research/Translational Biomedical Research Strategy for Personalizing Nutrition, Medicine, and Healthcare

摘要: Personal and public health information is usually derived from studies of large population groups. Although reported as attributable risk (PAR), these estimates are often applied to individuals. PARs for intake nutrients, exposure toxins, responses drug, having certain genetic variants, and, more recently, nutrient{--}gene interactions statistical the percentage reduction in disease if were be avoided or gene variant not present. Individuals differ makeup, life-style, dietary patterns may represented by individuals study population. factors valuable guidelines, they apply Intervention likewise limited small sample sizes, short time frames assess physiological changes, variable experimental designs that preclude comparative consensus analyses. A fundamental challenge personalizing nutritional recommendations optimize medicine getting right drug person at will develop a means sort into groups eventually, The classic case{--}control prospective design need revised order individual factors. promising approach complete analyses interaction makeups environment relies on translational research strategies where participant physiologically monitored over time. Community-based participatory (CBPR) methodology form whose central focus developing partnership among researchers community allows in-depth life-style but simultaneously helps improve communities through application outcomes. Keywords: community-based research; healthcare; nutrigenomics; personalized nutrition; population risk; translational