Association between dietary inflammatory index and mental disorders using multilevel modeling with GLIMMIX

IntroductionThe Dietary Inflammatory Index (DII) is a composite nutritional index that has gained significant attention in the past decade due to its association with physical and mental well-being. To accurately assess the precise effects of DII on health outcomes, the effects of nutrients and food...

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Main Authors: Reza Beiranvand, Mohammad Ali Mansournia, Farhad Vahid, Ali-Akbar Nejatisafa, Saharnaz Nedjat
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Nutrition
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2024.1288793/full
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author Reza Beiranvand
Mohammad Ali Mansournia
Farhad Vahid
Ali-Akbar Nejatisafa
Saharnaz Nedjat
author_facet Reza Beiranvand
Mohammad Ali Mansournia
Farhad Vahid
Ali-Akbar Nejatisafa
Saharnaz Nedjat
author_sort Reza Beiranvand
collection DOAJ
description IntroductionThe Dietary Inflammatory Index (DII) is a composite nutritional index that has gained significant attention in the past decade due to its association with physical and mental well-being. To accurately assess the precise effects of DII on health outcomes, the effects of nutrients and foods need to be adjusted. This study aimed to investigate the association between DII and mental disorders (depression, anxiety, and stress) using multilevel modeling to minimize the bias of the previous methods.MethodsThis cross-sectional analytical study was conducted using data from the initial phase of the Tehran University of Medical Sciences Employees’ Cohort Study (TEC). Nutritional information was obtained through a dish-based semi-quantitative food frequency questionnaire (DFQ), while psychological data were collected using the depression, anxiety and stress scale (DASS-42). The acquired data were analyzed using multilevel modeling in three levels (foods, nutrients, and DII, respectively) through GLIMMIX in the SAS software.ResultsA total of 3,501 individuals participated in this study. The results of the multilevel model demonstrated a significant statistical association between DII and mental disorders after adjusting for baseline characteristics, nutrients and foods. For each unit increase in DII, the mean scores for stress, anxiety, and depression increased by 3.55, 4.26, and 3.02, respectively (p < 0.001).ConclusionBased on the multilevel model’s findings, it is recommended to minimize the use of pro-inflammatory nutrients and foods to increase the mental health. Multilevel data analysis has also been recommended in nutritional studies involving nested data to obtain more accurate and plausible estimates.
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spelling doaj.art-0468ba06a9e14a4e9503cd264209a9ac2024-01-12T04:39:17ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2024-01-011110.3389/fnut.2024.12887931288793Association between dietary inflammatory index and mental disorders using multilevel modeling with GLIMMIXReza Beiranvand0Mohammad Ali Mansournia1Farhad Vahid2Ali-Akbar Nejatisafa3Saharnaz Nedjat4Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, IranDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, IranNutrition and Health Group, School of Heath, Arak University of Medical Science, Arak, IranPsychosomatic Research Center, Department of Psychiatry, Tehran University of Medical Sciences, Iranian Association of Psychosomatic Medicine, Tehran, IranSchool of Public Health, Tehran University of Medical Sciences, Tehran, IranIntroductionThe Dietary Inflammatory Index (DII) is a composite nutritional index that has gained significant attention in the past decade due to its association with physical and mental well-being. To accurately assess the precise effects of DII on health outcomes, the effects of nutrients and foods need to be adjusted. This study aimed to investigate the association between DII and mental disorders (depression, anxiety, and stress) using multilevel modeling to minimize the bias of the previous methods.MethodsThis cross-sectional analytical study was conducted using data from the initial phase of the Tehran University of Medical Sciences Employees’ Cohort Study (TEC). Nutritional information was obtained through a dish-based semi-quantitative food frequency questionnaire (DFQ), while psychological data were collected using the depression, anxiety and stress scale (DASS-42). The acquired data were analyzed using multilevel modeling in three levels (foods, nutrients, and DII, respectively) through GLIMMIX in the SAS software.ResultsA total of 3,501 individuals participated in this study. The results of the multilevel model demonstrated a significant statistical association between DII and mental disorders after adjusting for baseline characteristics, nutrients and foods. For each unit increase in DII, the mean scores for stress, anxiety, and depression increased by 3.55, 4.26, and 3.02, respectively (p < 0.001).ConclusionBased on the multilevel model’s findings, it is recommended to minimize the use of pro-inflammatory nutrients and foods to increase the mental health. Multilevel data analysis has also been recommended in nutritional studies involving nested data to obtain more accurate and plausible estimates.https://www.frontiersin.org/articles/10.3389/fnut.2024.1288793/fulldietary inflammatory indexmental disordersmultilevel modelGLIMMIXDiI
spellingShingle Reza Beiranvand
Mohammad Ali Mansournia
Farhad Vahid
Ali-Akbar Nejatisafa
Saharnaz Nedjat
Association between dietary inflammatory index and mental disorders using multilevel modeling with GLIMMIX
Frontiers in Nutrition
dietary inflammatory index
mental disorders
multilevel model
GLIMMIX
DiI
title Association between dietary inflammatory index and mental disorders using multilevel modeling with GLIMMIX
title_full Association between dietary inflammatory index and mental disorders using multilevel modeling with GLIMMIX
title_fullStr Association between dietary inflammatory index and mental disorders using multilevel modeling with GLIMMIX
title_full_unstemmed Association between dietary inflammatory index and mental disorders using multilevel modeling with GLIMMIX
title_short Association between dietary inflammatory index and mental disorders using multilevel modeling with GLIMMIX
title_sort association between dietary inflammatory index and mental disorders using multilevel modeling with glimmix
topic dietary inflammatory index
mental disorders
multilevel model
GLIMMIX
DiI
url https://www.frontiersin.org/articles/10.3389/fnut.2024.1288793/full
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