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Impact of Precision Nutrition Counseling for Active Duty Service Members at Risk for Metabolic Syndrome
OBJECTIVES: Metabolic Syndrome (MetS) is characterized by abdominal obesity, dyslipidemia, elevated fasting blood glucose (FBG), and hypertension; personalized nutrition counseling and wellness applications have demonstrated positive results for weight management when coupled with high levels of par...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194065/ http://dx.doi.org/10.1093/cdn/nzac078.013 |
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author | McCarthy, Mary Elshaw, Evelyn Szekely, Barbara Honig, Jennifer Thompson, Autumn Colburn, Zachary Gillette, Laurel Langevin, Stanley Yeung-Rhee, Ka Yee |
author_facet | McCarthy, Mary Elshaw, Evelyn Szekely, Barbara Honig, Jennifer Thompson, Autumn Colburn, Zachary Gillette, Laurel Langevin, Stanley Yeung-Rhee, Ka Yee |
author_sort | McCarthy, Mary |
collection | PubMed |
description | OBJECTIVES: Metabolic Syndrome (MetS) is characterized by abdominal obesity, dyslipidemia, elevated fasting blood glucose (FBG), and hypertension; personalized nutrition counseling and wellness applications have demonstrated positive results for weight management when coupled with high levels of participant engagement and motivation. METHODS: In a prospective RCT RDs conducted personalized nutrition counseling using results of targeted sequencing, biomarkers, and expert recommendations to reduce risk for MetS. Treatment Group (TG) received six weekly sessions; Control Group (CG) received a pamphlet of expert recommendations upon randomization. A digital application provided real-time health data capture. Anthropometrics and BP were evaluated at baseline, 6, & 12 wks; biomarkers at baseline & 12 wks. Primary outcome was change in weight at 12 wks. Statistical analyses included descriptives and t-test or ANOVA; significance set at P < .05. RESULTS: 138 subjects enrolled from Nov 2019 - Feb 2021 between 2 sites [Northwest (NW) in WA; Southwest (SW) in TX]; 107 completed the study with n = 70 in the TG. Demographics: 66% male, mean age 31 yrs, 66% married, 49% Caucasian, non-Hispanic. There were no differences between TG and CG at baseline. High deleterious variant prevalence found for genes/SNPs associated with obesity (40%), cholesterol (38%), and BP (58%). 65% of subjects had 25(OH) D less than 30 ng/mL upon enrollment. In NW cohort primary outcome of change in weight at 12 wks was not significant p = .34. Significant difference at 6 wks noted for TG change in weight p = 0.02; fat mass p = .01; BMI p = 0.02; and % body fat p = 0.01. BP significant at 12 wks, both systolic (p = .04) and diastolic (p = .04). Change in 25(OH)D favored TG, p = 0.01. SW TG had greater reduction in waist circ p = .04 at 6 wks. Digital app had low adherence and poor correlation with ASA24 reference. CONCLUSIONS: Significant progress was achieved in the TG at 6 weeks although not sustained at 12 weeks. The concept of nutrigenomics was well-received in this cohort. FUNDING SOURCES: TriService Nursing Research Program. |
format | Online Article Text |
id | pubmed-9194065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91940652022-06-14 Impact of Precision Nutrition Counseling for Active Duty Service Members at Risk for Metabolic Syndrome McCarthy, Mary Elshaw, Evelyn Szekely, Barbara Honig, Jennifer Thompson, Autumn Colburn, Zachary Gillette, Laurel Langevin, Stanley Yeung-Rhee, Ka Yee Curr Dev Nutr Precision Nutrition/Nutrient-Gene Interactions OBJECTIVES: Metabolic Syndrome (MetS) is characterized by abdominal obesity, dyslipidemia, elevated fasting blood glucose (FBG), and hypertension; personalized nutrition counseling and wellness applications have demonstrated positive results for weight management when coupled with high levels of participant engagement and motivation. METHODS: In a prospective RCT RDs conducted personalized nutrition counseling using results of targeted sequencing, biomarkers, and expert recommendations to reduce risk for MetS. Treatment Group (TG) received six weekly sessions; Control Group (CG) received a pamphlet of expert recommendations upon randomization. A digital application provided real-time health data capture. Anthropometrics and BP were evaluated at baseline, 6, & 12 wks; biomarkers at baseline & 12 wks. Primary outcome was change in weight at 12 wks. Statistical analyses included descriptives and t-test or ANOVA; significance set at P < .05. RESULTS: 138 subjects enrolled from Nov 2019 - Feb 2021 between 2 sites [Northwest (NW) in WA; Southwest (SW) in TX]; 107 completed the study with n = 70 in the TG. Demographics: 66% male, mean age 31 yrs, 66% married, 49% Caucasian, non-Hispanic. There were no differences between TG and CG at baseline. High deleterious variant prevalence found for genes/SNPs associated with obesity (40%), cholesterol (38%), and BP (58%). 65% of subjects had 25(OH) D less than 30 ng/mL upon enrollment. In NW cohort primary outcome of change in weight at 12 wks was not significant p = .34. Significant difference at 6 wks noted for TG change in weight p = 0.02; fat mass p = .01; BMI p = 0.02; and % body fat p = 0.01. BP significant at 12 wks, both systolic (p = .04) and diastolic (p = .04). Change in 25(OH)D favored TG, p = 0.01. SW TG had greater reduction in waist circ p = .04 at 6 wks. Digital app had low adherence and poor correlation with ASA24 reference. CONCLUSIONS: Significant progress was achieved in the TG at 6 weeks although not sustained at 12 weeks. The concept of nutrigenomics was well-received in this cohort. FUNDING SOURCES: TriService Nursing Research Program. Oxford University Press 2022-06-14 /pmc/articles/PMC9194065/ http://dx.doi.org/10.1093/cdn/nzac078.013 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Precision Nutrition/Nutrient-Gene Interactions McCarthy, Mary Elshaw, Evelyn Szekely, Barbara Honig, Jennifer Thompson, Autumn Colburn, Zachary Gillette, Laurel Langevin, Stanley Yeung-Rhee, Ka Yee Impact of Precision Nutrition Counseling for Active Duty Service Members at Risk for Metabolic Syndrome |
title | Impact of Precision Nutrition Counseling for Active Duty Service Members at Risk for Metabolic Syndrome |
title_full | Impact of Precision Nutrition Counseling for Active Duty Service Members at Risk for Metabolic Syndrome |
title_fullStr | Impact of Precision Nutrition Counseling for Active Duty Service Members at Risk for Metabolic Syndrome |
title_full_unstemmed | Impact of Precision Nutrition Counseling for Active Duty Service Members at Risk for Metabolic Syndrome |
title_short | Impact of Precision Nutrition Counseling for Active Duty Service Members at Risk for Metabolic Syndrome |
title_sort | impact of precision nutrition counseling for active duty service members at risk for metabolic syndrome |
topic | Precision Nutrition/Nutrient-Gene Interactions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194065/ http://dx.doi.org/10.1093/cdn/nzac078.013 |
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