Relationship between the Dietary Inflammatory Index (DII), body adiposity indicators, and the metabolic profile of women

IF 0.3 Q4 NUTRITION & DIETETICS
CAHIERS DE NUTRITION ET DE DIETETIQUE Pub Date : 2026-08-01 Epub Date: 2026-09-24 DOI:10.1016/j.cnd.2026.08.090
Luma de Sousa Silva, Natalia Cardoso da Silva, Edna Massae Yokoo
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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> <!-->&lt;<!--> <!-->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> <!-->&lt;<!--> <!-->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> <!-->&lt;<!--> <!-->0.001), VAT (<em>r</em> <!-->=<!--> <!-->0.320; <em>P</em> <!-->&lt;<!--> <!-->0.001), android fat percentage (<em>r</em> <!-->=<!--> <!-->0.304; <em>P</em> <!-->&lt;<!--> <!-->0.001), and total fat percentage (<em>r</em> <!-->=<!--> <!-->0.269; <em>P</em> <!-->&lt;<!--> <!-->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> <!-->&lt;<!--> <!-->0.001), VAT (<em>r</em> <!-->=<!--> <!-->0.320; <em>P</em> <!-->&lt;<!--> <!-->0.001), android fat percentage (<em>r</em> <!-->=<!--> <!-->0.304; <em>P</em> <!-->&lt;<!--> <!-->0.001), and total fat percentage (<em>r</em> <!-->=<!--> <!-->0.269; <em>P</em> <!-->&lt;<!--> <!-->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.
膳食炎症指数(DII)、体脂指标与女性代谢谱之间的关系
目的通过Niterói家庭医疗计划(Family Medical Program, FMP)评估成年女性膳食炎症指数(Dietary Inflammatory Index, DII)和体脂指标与血脂和血糖的相关性。通过Niterói家庭医疗计划(FMP)评估成年女性膳食炎症指数(DII)和体脂指标与血脂和血糖的相关性。方法本研究为洋地黄项目(CAAE: 0077.0.258.000-10)的一部分。对年龄在18至64岁之间的成年妇女进行了评估,随后进行了Niterói家庭医疗计划。分析由DXA、体重指数(BMI)和28个膳食参数组成的DII估算的脂质指标(总胆固醇、高密度脂蛋白、非高密度脂蛋白和甘油三酯)、空腹血糖、体脂指标(总脂肪百分比、android脂肪、gynoid脂肪和内脏脂肪组织[VAT])。数据正态性采用Shapiro-Wilk检验,相关性采用Spearman检验,采用P <; 0.05。这是一项横断面研究,是洋地黄项目(CAAE: 0077.0.258.000-10)的一部分。对年龄在18至64岁之间的成年妇女进行了评估,随后进行了Niterói家庭医疗计划。分析由DXA、体重指数(BMI)和28个膳食参数组成的DII估算的脂质指标(总胆固醇、高密度脂蛋白、非高密度脂蛋白和甘油三酯)、空腹血糖、体脂指标(总脂肪百分比、android脂肪、gynoid脂肪和内脏脂肪组织[VAT])。数据正态性采用Shapiro-Wilk检验,相关性采用Spearman检验,采用P <; 0.05。结果179名女性,中位年龄为55岁(IQR: 50.0-59.0), BMI为28.5 kg/m2 (IQR: 25.5-32.6),对应于超重,DII中位为- 1.51 (IQR: - 2.41 - - 0.31),表征为抗炎饮食。肥胖指标与血糖呈显著正相关,其中BMI (r = 0.390; P < 0.001)、VAT (r = 0.320; P < 0.001)、android脂肪率(r = 0.304; P < 0.001)和总脂肪率(r = 0.269; P < 0.001)最为显著。女性脂肪百分比与血糖无显著相关(r = 0.086; P = 0.251)。在脂质方面,只有VAT与甘油三酯呈显著正相关(r = 0.171; P = 0.023)。DII与血糖(r = 0.096; P = 0.202)和血脂(TG: r = - 0.032; P = 0.675; HDL: r = 0.052; P = 0.486;总胆固醇:r = 0.038; P = 0.616;非HDL胆固醇:r = 0.101; P = 0.180)无显著相关性。样本包括179名女性,中位年龄为55岁(IQR: 50.0-59.0), BMI为28.5 kg/m2 (IQR: 25.5-32.6),对应于超重,DII中位为- 1.51 (IQR: - 2.41 - - 0.31),表征为抗炎饮食。肥胖指标与血糖呈显著正相关,其中BMI (r = 0.390; P < 0.001)、VAT (r = 0.320; P < 0.001)、android脂肪率(r = 0.304; P < 0.001)和总脂肪率(r = 0.269; P < 0.001)最为显著。女性脂肪百分比与血糖无显著相关(r = 0.086; P = 0.251)。在脂质方面,只有VAT与甘油三酯呈显著正相关(r = 0.171; P = 0.023)。DII与血糖(r = 0.096; P = 0.202)和血脂(TG: r = - 0.032; P = 0.675; HDL: r = 0.052; P = 0.486;总胆固醇:r = 0.038; P = 0.616;非HDL胆固醇:r = 0.101; P = 0.180)无显著相关性。结论本研究中的女性饮食具有抗炎作用,与代谢谱无显著相关性。然而,BMI和中心脂肪,尤其是VAT,与血糖和甘油三酯呈正相关。这些发现强化了在考虑心脏代谢特征和健康结果时评估女性人体测量和中心肥胖指标的重要性。本研究中的女性采用抗炎饮食,与代谢谱无显著相关性。然而,BMI和中心脂肪,尤其是VAT,与血糖和甘油三酯呈正相关。这些发现强化了在考虑心脏代谢特征和健康结果时评估女性人体测量和中心肥胖指标的重要性。
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来源期刊
CAHIERS DE NUTRITION ET DE DIETETIQUE
CAHIERS DE NUTRITION ET DE DIETETIQUE NUTRITION & DIETETICS-
CiteScore
0.60
自引率
33.30%
发文量
55
审稿时长
65 days
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...
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