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Association between healthy eating index-2015 and abdominal aortic calcification among US Adults

AIMS: To evaluate the relationship of the healthy eating index-2015 (HEI-2015) with abdominal aortic calcification (AAC) in US adults. METHODS: We conducted a cross-sectional study with data extracted from the National Health and Nutrition Examination Survey (NHANES). AAC score was measured using th...

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Autores principales: Jia, Jundi, Zhang, Jie, Ma, Dan, Zhang, Zihao, Zhao, Lin, Wang, Tongxin, Xu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889545/
https://www.ncbi.nlm.nih.gov/pubmed/36742001
http://dx.doi.org/10.3389/fnut.2022.1027136
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author Jia, Jundi
Zhang, Jie
Ma, Dan
Zhang, Zihao
Zhao, Lin
Wang, Tongxin
Xu, Hao
author_facet Jia, Jundi
Zhang, Jie
Ma, Dan
Zhang, Zihao
Zhao, Lin
Wang, Tongxin
Xu, Hao
author_sort Jia, Jundi
collection PubMed
description AIMS: To evaluate the relationship of the healthy eating index-2015 (HEI-2015) with abdominal aortic calcification (AAC) in US adults. METHODS: We conducted a cross-sectional study with data extracted from the National Health and Nutrition Examination Survey (NHANES). AAC score was measured using the scoring system of Kauppila (AAC-24) and Schousboe (AAC-8). HEI-2015, which was used for evaluating compliance with Dietary Guidelines for Americans (DGA), was calculated through two rounds of 24-h recall interviews. HEI-2015 was categorized as inadequate (<50), average (50~70), and optimal (≥70) groups for analysis, while the AAC-24 score was grouped by whether the score was >0. Weighted multiple regression analyses were conducted to estimate the association of HEI-2015 with AAC score and the presence of AAC. Moreover, smooth curve fittings, based on a generalized additive model (GAM), were applied to evaluate a possible non-linear relationship. Sensitivity analysis and subgroup analysis were performed to provide more supporting information. RESULTS: A total of 2,704 participants were included in the study (mean age, 57.61 ± 11.40 years; 51.78% were women). The mean score of HEI-2015 was 56.09 ± 13.40 (41.33 ± 6.28, 59.44 ± 5.54, and 76.90 ± 5.37 for inadequate, average, and optimal groups, respectively). After adjusting for covariates, higher HEI-2015 was associated with decreased AAC score (AAC-24: β = −0.121, 95% CI: −0.214, −0.028, P = 0.010; AAC-8: β= −0.054, 95% CI: −0.088, −0.019, P = 0.003) and lower risk of AAC (OR = 0.921, 95% CI: 0.855, 0.993, P = 0.031). Among the components of HEI-2015, a higher intake of fruits, greens, and beans was associated with a lower AAC score. Subgroup analysis showed that an inverse association of HEI-2015 with AAC score existed among different groups. CONCLUSION: The study presented that higher HEI-2015 was related to a lower AAC score and decreased risk of having AAC, indicating that greater compliance with 2015–2020 DGA, assessed by HEI-2015, might be beneficial for preventing vascular calcification and CVD among US adults.
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spelling pubmed-98895452023-02-02 Association between healthy eating index-2015 and abdominal aortic calcification among US Adults Jia, Jundi Zhang, Jie Ma, Dan Zhang, Zihao Zhao, Lin Wang, Tongxin Xu, Hao Front Nutr Nutrition AIMS: To evaluate the relationship of the healthy eating index-2015 (HEI-2015) with abdominal aortic calcification (AAC) in US adults. METHODS: We conducted a cross-sectional study with data extracted from the National Health and Nutrition Examination Survey (NHANES). AAC score was measured using the scoring system of Kauppila (AAC-24) and Schousboe (AAC-8). HEI-2015, which was used for evaluating compliance with Dietary Guidelines for Americans (DGA), was calculated through two rounds of 24-h recall interviews. HEI-2015 was categorized as inadequate (<50), average (50~70), and optimal (≥70) groups for analysis, while the AAC-24 score was grouped by whether the score was >0. Weighted multiple regression analyses were conducted to estimate the association of HEI-2015 with AAC score and the presence of AAC. Moreover, smooth curve fittings, based on a generalized additive model (GAM), were applied to evaluate a possible non-linear relationship. Sensitivity analysis and subgroup analysis were performed to provide more supporting information. RESULTS: A total of 2,704 participants were included in the study (mean age, 57.61 ± 11.40 years; 51.78% were women). The mean score of HEI-2015 was 56.09 ± 13.40 (41.33 ± 6.28, 59.44 ± 5.54, and 76.90 ± 5.37 for inadequate, average, and optimal groups, respectively). After adjusting for covariates, higher HEI-2015 was associated with decreased AAC score (AAC-24: β = −0.121, 95% CI: −0.214, −0.028, P = 0.010; AAC-8: β= −0.054, 95% CI: −0.088, −0.019, P = 0.003) and lower risk of AAC (OR = 0.921, 95% CI: 0.855, 0.993, P = 0.031). Among the components of HEI-2015, a higher intake of fruits, greens, and beans was associated with a lower AAC score. Subgroup analysis showed that an inverse association of HEI-2015 with AAC score existed among different groups. CONCLUSION: The study presented that higher HEI-2015 was related to a lower AAC score and decreased risk of having AAC, indicating that greater compliance with 2015–2020 DGA, assessed by HEI-2015, might be beneficial for preventing vascular calcification and CVD among US adults. Frontiers Media S.A. 2023-01-18 /pmc/articles/PMC9889545/ /pubmed/36742001 http://dx.doi.org/10.3389/fnut.2022.1027136 Text en Copyright © 2023 Jia, Zhang, Ma, Zhang, Zhao, Wang and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Jia, Jundi
Zhang, Jie
Ma, Dan
Zhang, Zihao
Zhao, Lin
Wang, Tongxin
Xu, Hao
Association between healthy eating index-2015 and abdominal aortic calcification among US Adults
title Association between healthy eating index-2015 and abdominal aortic calcification among US Adults
title_full Association between healthy eating index-2015 and abdominal aortic calcification among US Adults
title_fullStr Association between healthy eating index-2015 and abdominal aortic calcification among US Adults
title_full_unstemmed Association between healthy eating index-2015 and abdominal aortic calcification among US Adults
title_short Association between healthy eating index-2015 and abdominal aortic calcification among US Adults
title_sort association between healthy eating index-2015 and abdominal aortic calcification among us adults
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889545/
https://www.ncbi.nlm.nih.gov/pubmed/36742001
http://dx.doi.org/10.3389/fnut.2022.1027136
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