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Association between plant-based diets and metabolic syndrome in obese adults from Iran: a cross-sectional study

BACKGROUND: Metabolic syndrome (MetS) is a common chronic disease with several complications. Given that, studies on the association of plant-based diet indices (PDIs) with risk of MetS among adults with obesity, are limited, we aimed to examine the association between PDIs (including overall PDI, h...

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Autores principales: Vajdi, Mahdi, Karimi, Arash, Tousi, Ayda Zahiri, Hosseini, Babak, Nikniaz, Zeinab, Farhangi, Mahdieh Abbasalizad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186771/
https://www.ncbi.nlm.nih.gov/pubmed/37193979
http://dx.doi.org/10.1186/s12902-023-01358-7
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author Vajdi, Mahdi
Karimi, Arash
Tousi, Ayda Zahiri
Hosseini, Babak
Nikniaz, Zeinab
Farhangi, Mahdieh Abbasalizad
author_facet Vajdi, Mahdi
Karimi, Arash
Tousi, Ayda Zahiri
Hosseini, Babak
Nikniaz, Zeinab
Farhangi, Mahdieh Abbasalizad
author_sort Vajdi, Mahdi
collection PubMed
description BACKGROUND: Metabolic syndrome (MetS) is a common chronic disease with several complications. Given that, studies on the association of plant-based diet indices (PDIs) with risk of MetS among adults with obesity, are limited, we aimed to examine the association between PDIs (including overall PDI, healthy PDI (hPDI), unhealthy PDI (uPDI)) and MetS in Iranian adults with obesity. METHODS: In Tabriz, Iran, a total of 347 adults between the ages of 20 and 50 participated in this cross-sectional research study. We created an overall PDI, hPDI, and uPDI from validated semi-quantitative food-frequency questionnaire (FFQ) data. To investigate the association between hPDI, overall PDI, uPDI, and MetS and its components, a binary logistic regression analysis was performed. RESULTS: The average age was 40.78 ± 9.23 years, and the average body mass index was 32.62 ± 4.80 kg/m(2). There was no significant association between overall PDI (OR: 0.87; 95% CI: 0.54–1.47), hPDI (OR: 0.82; 95% CI: 0.48–1.40), and uPDI (OR: 0.83; 95% CI: 0.87–2.46) with MetS, even after adjustment for confounders. Moreover, our findings showed that participants with the highest adherence to uPDI had a higher chance of hyperglycemia (OR: 2.50; 95% CI: 1.13–5.52). Also, this association was significant in the first (OR: 2.51; 95% CI: 1.04–6.04) and second (OR: 2.58; 95% CI: 1.05–6.33) models, after controlling for covariates. However, in both adjusted and crude models, we did not find a significant association between hPDI and PDI scores and MetS components such as high triglyceride, high waist circumference, low High-density lipoprotein cholesterol, raised blood pressure, and hyperglycemia. Moreover, those in the top tertile of uPDI had higher fasting blood sugar and insulin levels when compared with those in the first tertile, and subjects in the last tertile of hPDI compared with participants in the first tertile had lower weight, waist-to-hip ratio, and fat-free mass. CONCLUSION: We found a direct significant association between uPDI and odds of hyperglycemia in the whole population of study. Future large-scale, prospective studies on PDIs and the MetS are necessary to confirm these findings.
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spelling pubmed-101867712023-05-17 Association between plant-based diets and metabolic syndrome in obese adults from Iran: a cross-sectional study Vajdi, Mahdi Karimi, Arash Tousi, Ayda Zahiri Hosseini, Babak Nikniaz, Zeinab Farhangi, Mahdieh Abbasalizad BMC Endocr Disord Research BACKGROUND: Metabolic syndrome (MetS) is a common chronic disease with several complications. Given that, studies on the association of plant-based diet indices (PDIs) with risk of MetS among adults with obesity, are limited, we aimed to examine the association between PDIs (including overall PDI, healthy PDI (hPDI), unhealthy PDI (uPDI)) and MetS in Iranian adults with obesity. METHODS: In Tabriz, Iran, a total of 347 adults between the ages of 20 and 50 participated in this cross-sectional research study. We created an overall PDI, hPDI, and uPDI from validated semi-quantitative food-frequency questionnaire (FFQ) data. To investigate the association between hPDI, overall PDI, uPDI, and MetS and its components, a binary logistic regression analysis was performed. RESULTS: The average age was 40.78 ± 9.23 years, and the average body mass index was 32.62 ± 4.80 kg/m(2). There was no significant association between overall PDI (OR: 0.87; 95% CI: 0.54–1.47), hPDI (OR: 0.82; 95% CI: 0.48–1.40), and uPDI (OR: 0.83; 95% CI: 0.87–2.46) with MetS, even after adjustment for confounders. Moreover, our findings showed that participants with the highest adherence to uPDI had a higher chance of hyperglycemia (OR: 2.50; 95% CI: 1.13–5.52). Also, this association was significant in the first (OR: 2.51; 95% CI: 1.04–6.04) and second (OR: 2.58; 95% CI: 1.05–6.33) models, after controlling for covariates. However, in both adjusted and crude models, we did not find a significant association between hPDI and PDI scores and MetS components such as high triglyceride, high waist circumference, low High-density lipoprotein cholesterol, raised blood pressure, and hyperglycemia. Moreover, those in the top tertile of uPDI had higher fasting blood sugar and insulin levels when compared with those in the first tertile, and subjects in the last tertile of hPDI compared with participants in the first tertile had lower weight, waist-to-hip ratio, and fat-free mass. CONCLUSION: We found a direct significant association between uPDI and odds of hyperglycemia in the whole population of study. Future large-scale, prospective studies on PDIs and the MetS are necessary to confirm these findings. BioMed Central 2023-05-16 /pmc/articles/PMC10186771/ /pubmed/37193979 http://dx.doi.org/10.1186/s12902-023-01358-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Vajdi, Mahdi
Karimi, Arash
Tousi, Ayda Zahiri
Hosseini, Babak
Nikniaz, Zeinab
Farhangi, Mahdieh Abbasalizad
Association between plant-based diets and metabolic syndrome in obese adults from Iran: a cross-sectional study
title Association between plant-based diets and metabolic syndrome in obese adults from Iran: a cross-sectional study
title_full Association between plant-based diets and metabolic syndrome in obese adults from Iran: a cross-sectional study
title_fullStr Association between plant-based diets and metabolic syndrome in obese adults from Iran: a cross-sectional study
title_full_unstemmed Association between plant-based diets and metabolic syndrome in obese adults from Iran: a cross-sectional study
title_short Association between plant-based diets and metabolic syndrome in obese adults from Iran: a cross-sectional study
title_sort association between plant-based diets and metabolic syndrome in obese adults from iran: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186771/
https://www.ncbi.nlm.nih.gov/pubmed/37193979
http://dx.doi.org/10.1186/s12902-023-01358-7
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