Exploration of Predictive Modeling of DHA & VA Beneficiaries Dietary Supplements Use

Exploration of Predictive Modeling of DHA & VA Beneficiaries Dietary Supplements Use

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Name: Tomás Eduardo Ceremuga

Rank: COL (Ret)

Presenter/Poster: Accepted - no presentation due to COVID19 response

Year: 2020

Abstract

Description of Study: This exploratory descriptive cross-sectional study voluntarily solicited data from 2623 preoperative patients at six different Defense Health Agency (DHA) and Veterans Administration medical centers throughout the United States. Data pertaining to consumption of dietary supplements (DS) were collected using an electronic SurveyMonkey® assessment tool during routine preanesthetic evaluations.

Objectives: The purposes of this study were: 1. Explore predictors of DS use among DHA and VA beneficiaries who were scheduled for surgical procedures; and 2. Investigate potential predictors of overall health and fitness perceptions among military personnel, family members, and Veterans who take DS.

Background: Descriptive empirical data is limited related to dietary supplement consumption and patient knowledge of dietary supplements. There are no descriptive empirical data related to predictive modeling of dietary supplement use by DHA beneficiaries and Veterans who are undergoing anesthesia and surgery.

Methods: Data were collected during preanesthetic evaluations or in holding areas prior to surgery, using a validated data collection tool. The total convenience sample size was 2623 subjects from six medical centers. Data were voluntarily, anonymously, and verbally obtained using SurveyMonkey®. Collected data included: sex, age, rank, beneficiary status, race, BMI, tobacco use, marital status, DS usage, and knowledge of DS side effects and drug interactions. For predictive modeling of DS use, multiple logistic regression were performed for binary and ordinal outcomes via SPSS.

Findings: For binary logistic regression the predictors were significant for the following outcomes: taking DS (education, sex, age, and race); knowledge of side effects (age, race, and rank); believe they are having side effects (age), and participation in aerobic or strength training (education, age, BMI, and rank). There were no significant predictors for knowledge of drug interactions. For ordinal regression: education, age, and BMI were significant predictors for general health; and gender, age, and BMI significantly predicted overall fitness.

Implications: These findings provide opportunities for anesthesia providers to improve preoperative assessments and education regarding DS use and potentially abate surgical complications. Continued research should fully elucidate the detriments to patient outcomes that ultimately effect mission readiness.