Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Minkyeong, Park, Kyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Nutrition Society and the Korean Society of Community Nutrition 2020
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
_version_ 1783540871216496640
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