ABSTRACT. Despite the relevance of nutritional genomics in personalized medicine, only limited research has been conducted on this topic. Using and replicating data from ABS, CCHS, CRN, Euromonitor International, Ipsos Public Affairs, Mintel, and Statista, I performed analyses and made estimates regarding U.S. people who take nutritional supplements and top reasons for taking them (%, by age group and sex), healthy habits of U.S. adult supplement users vs. non-users (%), U.S. adults who use an app to track their diet and nutrition (%), proportion of calories from fresh food, packaged food, soft drinks, and alcoholic drinks (% of total calories purchased), prevalence of inadequate fruit and vegetable intake (%, age groups), and prevalence of usual intakes of sodium exceeding the tolerable upper intake level (%, by sex and age groups). The data for this article were collected through an online survey questionnaire and were analyzed via structural equation modeling on a sample of 4,800 respondents.

Keywords: nutritional genomics; personalized medicine; customized treatment; disease

How to cite: Bratu, Sofia (2019). “Nutritional Genomics in Personalized Medicine: Data-driven Customized Treatments and Lifestyle-based Disease Management and Prevention,” Linguistic and Philosophical Investigations 18: 140–146. doi:10.22381/LPI18201910

Received 22 December 2018 • Received in revised form 24 March 2019
Accepted 27 March 2019 • Available online 18 April 2019

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Spiru Haret University, Bucharest, Romania

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