Luma de Sousa Silva, Natalia Cardoso da Silva, Edna Massae Yokoo
{"title":"Relationship between the Dietary Inflammatory Index (DII), body adiposity indicators, and the metabolic profile of women","authors":"Luma de Sousa Silva, Natalia Cardoso da Silva, Edna Massae Yokoo","doi":"10.1016/j.cnd.2026.08.090","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To estimate the correlation between the Dietary Inflammatory Index (DII) and body fat indicators with the lipid profile and glycemia in adult women followed by the Family Medical Program (FMP) of Niterói.</div></div><div>To estimate the correlation between the Dietary Inflammatory Index (DII) and body fat indicators with the lipid profile and glycemia in adult women followed by the Family Medical Program (FMP) of Niterói.</div><div><h3>Methods</h3><div>This is a cross-sectional study, part of the Digitalis Project (CAAE: 0077.0.258.000-10). Adult women aged between 18 and 64 years followed by the Family Medical Program of Niterói were evaluated. Lipid indicators (total cholesterol, HDL, non-HDL, and triglycerides), fasting glycemia, body adiposity indicators (total fat percentage, android fat, gynoid fat, and visceral adipose tissue [VAT]) estimated by DXA, Body Mass Index (BMI), and the DII composed of 28 dietary parameters were analyzed. Data normality was tested using the Shapiro-Wilk test and correlation was estimated using Spearman's test, adopting <em>P</em> <!--><<!--> <!-->0.05.</div></div><div>This is a cross-sectional study, part of the Digitalis Project (CAAE: 0077.0.258.000-10). Adult women aged between 18 and 64 years followed by the Family Medical Program of Niterói were evaluated. Lipid indicators (total cholesterol, HDL, non-HDL, and triglycerides), fasting glycemia, body adiposity indicators (total fat percentage, android fat, gynoid fat, and visceral adipose tissue [VAT]) estimated by DXA, Body Mass Index (BMI), and the DII composed of 28 dietary parameters were analyzed. Data normality was tested using the Shapiro-Wilk test and correlation was estimated using Spearman's test, adopting <em>P</em> <!--><<!--> <!-->0.05.</div><div><h3>Results</h3><div>The sample consisted of 179 women with a median age of 55 years (IQR: 50.0–59.0) and BMI of 28.5<!--> <!-->kg/m<sup>2</sup> (IQR: 25.5–32.6), corresponding to excess weight, and DII with a median of −1.51 (IQR: −2.41–−0.31), characterizing an anti-inflammatory diet. Adiposity markers showed significant positive correlation wth glycemia, being most strongly observed for BMI (<em>r</em> <!-->=<!--> <!-->0.390; <em>P</em> <!--><<!--> <!-->0.001), VAT (<em>r</em> <!-->=<!--> <!-->0.320; <em>P</em> <!--><<!--> <!-->0.001), android fat percentage (<em>r</em> <!-->=<!--> <!-->0.304; <em>P</em> <!--><<!--> <!-->0.001), and total fat percentage (<em>r</em> <!-->=<!--> <!-->0.269; <em>P</em> <!--><<!--> <!-->0.001). Gynoid fat percentage did not correlate significantly with glycemia (<em>r</em> <!-->=<!--> <!-->0.086; <em>P</em> <!-->=<!--> <!-->0.251). Regarding the lipid profile, only VAT showed significant positive correlation, exclusively with triglycerides (<em>r</em> <!-->=<!--> <!-->0.171; <em>P</em> <!-->=<!--> <!-->0.023). The DII did not correlate significantly with glycemia (<em>r</em> <!-->=<!--> <!-->0.096; <em>P</em> <!-->=<!--> <!-->0.202) nor with the lipid profile (TG: <em>r</em> <!-->=<!--> <!-->−0.032; <em>P</em> <!-->=<!--> <!-->0.675; HDL: <em>r</em> <!-->=<!--> <!-->0.052; <em>P</em> <!-->=<!--> <!-->0.486; total cholesterol: <em>r</em> <!-->=<!--> <!-->0.038; <em>P</em> <!-->=<!--> <!-->0.616; non-HDL cholesterol: <em>r</em> <!-->=<!--> <!-->0.101; <em>P</em> <!-->=<!--> <!-->0.180).</div></div><div>The sample consisted of 179 women with a median age of 55 years (IQR: 50.0–59.0) and BMI of 28.5<!--> <!-->kg/m<sup>2</sup> (IQR: 25.5–32.6), corresponding to excess weight, and DII with a median of −1.51 (IQR: −2.41–−0.31), characterizing an anti-inflammatory diet. Adiposity markers showed significant positive correlation wth glycemia, being most strongly observed for BMI (<em>r</em> <!-->=<!--> <!-->0.390; <em>P</em> <!--><<!--> <!-->0.001), VAT (<em>r</em> <!-->=<!--> <!-->0.320; <em>P</em> <!--><<!--> <!-->0.001), android fat percentage (<em>r</em> <!-->=<!--> <!-->0.304; <em>P</em> <!--><<!--> <!-->0.001), and total fat percentage (<em>r</em> <!-->=<!--> <!-->0.269; <em>P</em> <!--><<!--> <!-->0.001). Gynoid fat percentage did not correlate significantly with glycemia (<em>r</em> <!-->=<!--> <!-->0.086; <em>P</em> <!-->=<!--> <!-->0.251). Regarding the lipid profile, only VAT showed significant positive correlation, exclusively with triglycerides (<em>r</em> <!-->=<!--> <!-->0.171; <em>P</em> <!-->=<!--> <!-->0.023). The DII did not correlate significantly with glycemia (<em>r</em> <!-->=<!--> <!-->0.096; <em>P</em> <!-->=<!--> <!-->0.202) nor with the lipid profile (TG: <em>r</em> <!-->=<!--> <!-->−0.032; <em>P</em> <!-->=<!--> <!-->0.675; HDL: <em>r</em> <!-->=<!--> <!-->0.052; <em>P</em> <!-->=<!--> <!-->0.486; total cholesterol: <em>r</em> <!-->=<!--> <!-->0.038; <em>P</em> <!-->=<!--> <!-->0.616; non-HDL cholesterol: <em>r</em> <!-->=<!--> <!-->0.101; <em>P</em> <!-->=<!--> <!-->0.180).</div><div><h3>Conclusion</h3><div>Women in this study presented an anti-inflammatory diet, with no significant correlation with the metabolic profile. However, BMI and central fat, especially VAT, positively correlated with glycemia and triglycerides. These findings reinforce the importance of assessing anthropometric and central adiposity indicators in women when considering the cardiometabolic profile and health outcomes.</div></div><div>Women in this study presented an anti-inflammatory diet, with no significant correlation with the metabolic profile. However, BMI and central fat, especially VAT, positively correlated with glycemia and triglycerides. These findings reinforce the importance of assessing anthropometric and central adiposity indicators in women when considering the cardiometabolic profile and health outcomes.</div>","PeriodicalId":43722,"journal":{"name":"CAHIERS DE NUTRITION ET DE DIETETIQUE","volume":"61 ","pages":"Pages e48-e49"},"PeriodicalIF":0.3000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CAHIERS DE NUTRITION ET DE DIETETIQUE","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0007996026001665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/24 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To estimate the correlation between the Dietary Inflammatory Index (DII) and body fat indicators with the lipid profile and glycemia in adult women followed by the Family Medical Program (FMP) of Niterói.
To estimate the correlation between the Dietary Inflammatory Index (DII) and body fat indicators with the lipid profile and glycemia in adult women followed by the Family Medical Program (FMP) of Niterói.
Methods
This is a cross-sectional study, part of the Digitalis Project (CAAE: 0077.0.258.000-10). Adult women aged between 18 and 64 years followed by the Family Medical Program of Niterói were evaluated. Lipid indicators (total cholesterol, HDL, non-HDL, and triglycerides), fasting glycemia, body adiposity indicators (total fat percentage, android fat, gynoid fat, and visceral adipose tissue [VAT]) estimated by DXA, Body Mass Index (BMI), and the DII composed of 28 dietary parameters were analyzed. Data normality was tested using the Shapiro-Wilk test and correlation was estimated using Spearman's test, adopting P < 0.05.
This is a cross-sectional study, part of the Digitalis Project (CAAE: 0077.0.258.000-10). Adult women aged between 18 and 64 years followed by the Family Medical Program of Niterói were evaluated. Lipid indicators (total cholesterol, HDL, non-HDL, and triglycerides), fasting glycemia, body adiposity indicators (total fat percentage, android fat, gynoid fat, and visceral adipose tissue [VAT]) estimated by DXA, Body Mass Index (BMI), and the DII composed of 28 dietary parameters were analyzed. Data normality was tested using the Shapiro-Wilk test and correlation was estimated using Spearman's test, adopting P < 0.05.
Results
The sample consisted of 179 women with a median age of 55 years (IQR: 50.0–59.0) and BMI of 28.5 kg/m2 (IQR: 25.5–32.6), corresponding to excess weight, and DII with a median of −1.51 (IQR: −2.41–−0.31), characterizing an anti-inflammatory diet. Adiposity markers showed significant positive correlation wth glycemia, being most strongly observed for BMI (r = 0.390; P < 0.001), VAT (r = 0.320; P < 0.001), android fat percentage (r = 0.304; P < 0.001), and total fat percentage (r = 0.269; P < 0.001). Gynoid fat percentage did not correlate significantly with glycemia (r = 0.086; P = 0.251). Regarding the lipid profile, only VAT showed significant positive correlation, exclusively with triglycerides (r = 0.171; P = 0.023). The DII did not correlate significantly with glycemia (r = 0.096; P = 0.202) nor with the lipid profile (TG: r = −0.032; P = 0.675; HDL: r = 0.052; P = 0.486; total cholesterol: r = 0.038; P = 0.616; non-HDL cholesterol: r = 0.101; P = 0.180).
The sample consisted of 179 women with a median age of 55 years (IQR: 50.0–59.0) and BMI of 28.5 kg/m2 (IQR: 25.5–32.6), corresponding to excess weight, and DII with a median of −1.51 (IQR: −2.41–−0.31), characterizing an anti-inflammatory diet. Adiposity markers showed significant positive correlation wth glycemia, being most strongly observed for BMI (r = 0.390; P < 0.001), VAT (r = 0.320; P < 0.001), android fat percentage (r = 0.304; P < 0.001), and total fat percentage (r = 0.269; P < 0.001). Gynoid fat percentage did not correlate significantly with glycemia (r = 0.086; P = 0.251). Regarding the lipid profile, only VAT showed significant positive correlation, exclusively with triglycerides (r = 0.171; P = 0.023). The DII did not correlate significantly with glycemia (r = 0.096; P = 0.202) nor with the lipid profile (TG: r = −0.032; P = 0.675; HDL: r = 0.052; P = 0.486; total cholesterol: r = 0.038; P = 0.616; non-HDL cholesterol: r = 0.101; P = 0.180).
Conclusion
Women in this study presented an anti-inflammatory diet, with no significant correlation with the metabolic profile. However, BMI and central fat, especially VAT, positively correlated with glycemia and triglycerides. These findings reinforce the importance of assessing anthropometric and central adiposity indicators in women when considering the cardiometabolic profile and health outcomes.
Women in this study presented an anti-inflammatory diet, with no significant correlation with the metabolic profile. However, BMI and central fat, especially VAT, positively correlated with glycemia and triglycerides. These findings reinforce the importance of assessing anthropometric and central adiposity indicators in women when considering the cardiometabolic profile and health outcomes.
期刊介绍:
Les Cahiers de nutrition et de diététique sont le lieu de communication reconnu pour les médecins spécialistes de la nutrition, les diététiciens, les professionnels et les chercheurs de agro-alimentaire, les enseignants et les étudiants. Les Cahiers de nutrition et de diététique abordent les sujets se rapportant à la biologie générale, à la médecine et à la nutrition, aux aliments, aux comportements alimentaires, à la diététique pratique, ainsi que des thèmes variés : activité physique, apports nutritionnels conseillés, dénutrition, alcool, obésité de enfant, aliments à effet santé, plaisir alimentaire, restauration collective, goûters et collations, allergies alimentaires...