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Association between phytochemical index and metabolic syndrome
BACKGROUND/OBJECTIVES: Although previous experimental studies reported the health benefits of foods rich in phytochemicals, few epidemiologic studies have investigated the associations between phytochemicals and metabolic disorders. This study aimed to calculate a phytochemical index (PI) and examin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Nutrition Society and the Korean Society of Community Nutrition
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263893/ https://www.ncbi.nlm.nih.gov/pubmed/32528632 http://dx.doi.org/10.4162/nrp.2020.14.3.252 |
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author | Kim, Minkyeong Park, Kyong |
author_facet | Kim, Minkyeong Park, Kyong |
author_sort | Kim, Minkyeong |
collection | PubMed |
description | BACKGROUND/OBJECTIVES: Although previous experimental studies reported the health benefits of foods rich in phytochemicals, few epidemiologic studies have investigated the associations between phytochemicals and metabolic disorders. This study aimed to calculate a phytochemical index (PI) and examine its association with metabolic syndrome in the Korean population. SUBJECTS/METHODS: Data of Korean adults aged ≥ 19 years who participated in the 2008–2016 Korea National Health and Nutrition Examination Surveys were analyzed. The PI was calculated using 24-hour intake recall data regarding whole grains, vegetables, fruits, legumes, nuts and seeds, and soybeans and soy products. Demographic and lifestyle data were obtained using self-administered questionnaires. A multivariable logistic regression was performed to calculate the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the prevalence of metabolic syndrome and its components according to PI quintiles. RESULTS: Overall, 31,319 adults were evaluated. Compared with men, women had a higher median PI level (9.96 vs. 13.63) and significantly higher caloric intake levels from most PI components (P < 0.05), except for soy products. After adjusting for multiple confounding variables, participants in the highest PI quintile had significantly lower prevalences of abdominal obesity (OR: 0.90, 95% CI: 0.81–0.99), hyperglycemia (OR: 0.83, 95% CI: 0.74–0.94), high blood pressure (OR: 0.82, 95% CI: 0.73–0.93), hypertriglyceridemia (OR: 0.84, 95% CI: 0.75–0.94), and metabolic syndrome (OR: 0.78, 95% CI: 0.69–0.88). CONCLUSIONS: Higher intakes of phytochemical-rich foods are associated with a lower prevalence of metabolic dysregulation and consequently, cardiometabolic diseases. |
format | Online Article Text |
id | pubmed-7263893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Korean Nutrition Society and the Korean Society of Community Nutrition |
record_format | MEDLINE/PubMed |
spelling | pubmed-72638932020-06-10 Association between phytochemical index and metabolic syndrome Kim, Minkyeong Park, Kyong Nutr Res Pract Original Research BACKGROUND/OBJECTIVES: Although previous experimental studies reported the health benefits of foods rich in phytochemicals, few epidemiologic studies have investigated the associations between phytochemicals and metabolic disorders. This study aimed to calculate a phytochemical index (PI) and examine its association with metabolic syndrome in the Korean population. SUBJECTS/METHODS: Data of Korean adults aged ≥ 19 years who participated in the 2008–2016 Korea National Health and Nutrition Examination Surveys were analyzed. The PI was calculated using 24-hour intake recall data regarding whole grains, vegetables, fruits, legumes, nuts and seeds, and soybeans and soy products. Demographic and lifestyle data were obtained using self-administered questionnaires. A multivariable logistic regression was performed to calculate the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the prevalence of metabolic syndrome and its components according to PI quintiles. RESULTS: Overall, 31,319 adults were evaluated. Compared with men, women had a higher median PI level (9.96 vs. 13.63) and significantly higher caloric intake levels from most PI components (P < 0.05), except for soy products. After adjusting for multiple confounding variables, participants in the highest PI quintile had significantly lower prevalences of abdominal obesity (OR: 0.90, 95% CI: 0.81–0.99), hyperglycemia (OR: 0.83, 95% CI: 0.74–0.94), high blood pressure (OR: 0.82, 95% CI: 0.73–0.93), hypertriglyceridemia (OR: 0.84, 95% CI: 0.75–0.94), and metabolic syndrome (OR: 0.78, 95% CI: 0.69–0.88). CONCLUSIONS: Higher intakes of phytochemical-rich foods are associated with a lower prevalence of metabolic dysregulation and consequently, cardiometabolic diseases. The Korean Nutrition Society and the Korean Society of Community Nutrition 2020-06 2020-04-03 /pmc/articles/PMC7263893/ /pubmed/32528632 http://dx.doi.org/10.4162/nrp.2020.14.3.252 Text en ©2020 The Korean Nutrition Society and the Korean Society of Community Nutrition 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 unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Kim, Minkyeong Park, Kyong Association between phytochemical index and metabolic syndrome |
title | Association between phytochemical index and metabolic syndrome |
title_full | Association between phytochemical index and metabolic syndrome |
title_fullStr | Association between phytochemical index and metabolic syndrome |
title_full_unstemmed | Association between phytochemical index and metabolic syndrome |
title_short | Association between phytochemical index and metabolic syndrome |
title_sort | association between phytochemical index and metabolic syndrome |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263893/ https://www.ncbi.nlm.nih.gov/pubmed/32528632 http://dx.doi.org/10.4162/nrp.2020.14.3.252 |
work_keys_str_mv | AT kimminkyeong associationbetweenphytochemicalindexandmetabolicsyndrome AT parkkyong associationbetweenphytochemicalindexandmetabolicsyndrome |