Joanna Kaluza, Lisa Hellerström, Daniel Kaluza, Abbas Chabok, Agneta Åkesson, Karl Michaëlsson, Alicja Wolk
{"title":"实证抗炎饮食指数的发展:一项横断面研究。","authors":"Joanna Kaluza, Lisa Hellerström, Daniel Kaluza, Abbas Chabok, Agneta Åkesson, Karl Michaëlsson, Alicja Wolk","doi":"10.1186/s12937-025-01165-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>There is evidence that some foods and dietary patterns may influence low-grade inflammation status. We aimed to develop a user-friendly empirical Anti-inflammatory Diet Index (eADI) that predicts low-grade chronic inflammation.</p><p><strong>Methods: </strong>In this cross-sectional study of 4,432 men (aged 74 ± 6 years) from the Cohort of Swedish Men-Clinical, inflammatory status was assessed by high-sensitivity C-reactive protein (hsCRP), interleukin 6 (IL-6), tumor necrosis factor receptor 1 (TNF-R1), and tumor necrosis factor receptor 2 (TNF-R2). Dietary intake was assessed using a food frequency questionnaire. The eADI was developed in a randomly chosen Discovery group (n = 2,216) using a 10-fold feature selection with filtering (based on Lasso regression) to select food groups most correlated with inflammatory biomarkers. From the selected foods, the eADI was then constructed based on summed scores of the consumption tertiles (corresponding to 0, 0.5, and 1 point). Next, in the Replication group (n = 2,216), the association of eADI with inflammatory biomarkers was examined using multivariable-adjusted linear regression models.</p><p><strong>Results: </strong>eADI-17 included 17 food groups (11 with anti-inflammatory, 6 with pro-inflammatory potential). In the Replication group, the median of eADI-17 was 9 (range: 2-16) scores and the Spearman correlation coefficients for eADI-17 vs. hsCRP, IL-6, TNF-R1, and TNF-R2 were -0.17, -0.23, -0.28, and -0.26, respectively. Each increment by 4.5-point eADI-17 (2 SD) was associated with concentrations that were 12% lower for hsCRP, 6% lower for IL-6, 8% lower for TNF-R1, and 9% lower for TNF-R2. These results obtained for the Replication group were robust as they were essentially the same as those of the Discovery group.</p><p><strong>Conclusions: </strong>The eADI-17 is a validated, robust and user-friendly anti-inflammatory diet index developed to predict low-grade chronic inflammation. This index has the potential to further refine future dietary guidelines and to be used in personalized nutrition. However, its predictive validity should be further evaluated in diverse populations.</p>","PeriodicalId":19203,"journal":{"name":"Nutrition Journal","volume":"24 1","pages":"97"},"PeriodicalIF":3.8000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12183828/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development of empirical anti-inflammatory diet index: a cross-sectional study.\",\"authors\":\"Joanna Kaluza, Lisa Hellerström, Daniel Kaluza, Abbas Chabok, Agneta Åkesson, Karl Michaëlsson, Alicja Wolk\",\"doi\":\"10.1186/s12937-025-01165-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>There is evidence that some foods and dietary patterns may influence low-grade inflammation status. We aimed to develop a user-friendly empirical Anti-inflammatory Diet Index (eADI) that predicts low-grade chronic inflammation.</p><p><strong>Methods: </strong>In this cross-sectional study of 4,432 men (aged 74 ± 6 years) from the Cohort of Swedish Men-Clinical, inflammatory status was assessed by high-sensitivity C-reactive protein (hsCRP), interleukin 6 (IL-6), tumor necrosis factor receptor 1 (TNF-R1), and tumor necrosis factor receptor 2 (TNF-R2). Dietary intake was assessed using a food frequency questionnaire. The eADI was developed in a randomly chosen Discovery group (n = 2,216) using a 10-fold feature selection with filtering (based on Lasso regression) to select food groups most correlated with inflammatory biomarkers. From the selected foods, the eADI was then constructed based on summed scores of the consumption tertiles (corresponding to 0, 0.5, and 1 point). Next, in the Replication group (n = 2,216), the association of eADI with inflammatory biomarkers was examined using multivariable-adjusted linear regression models.</p><p><strong>Results: </strong>eADI-17 included 17 food groups (11 with anti-inflammatory, 6 with pro-inflammatory potential). In the Replication group, the median of eADI-17 was 9 (range: 2-16) scores and the Spearman correlation coefficients for eADI-17 vs. hsCRP, IL-6, TNF-R1, and TNF-R2 were -0.17, -0.23, -0.28, and -0.26, respectively. Each increment by 4.5-point eADI-17 (2 SD) was associated with concentrations that were 12% lower for hsCRP, 6% lower for IL-6, 8% lower for TNF-R1, and 9% lower for TNF-R2. These results obtained for the Replication group were robust as they were essentially the same as those of the Discovery group.</p><p><strong>Conclusions: </strong>The eADI-17 is a validated, robust and user-friendly anti-inflammatory diet index developed to predict low-grade chronic inflammation. This index has the potential to further refine future dietary guidelines and to be used in personalized nutrition. 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Development of empirical anti-inflammatory diet index: a cross-sectional study.
Background: There is evidence that some foods and dietary patterns may influence low-grade inflammation status. We aimed to develop a user-friendly empirical Anti-inflammatory Diet Index (eADI) that predicts low-grade chronic inflammation.
Methods: In this cross-sectional study of 4,432 men (aged 74 ± 6 years) from the Cohort of Swedish Men-Clinical, inflammatory status was assessed by high-sensitivity C-reactive protein (hsCRP), interleukin 6 (IL-6), tumor necrosis factor receptor 1 (TNF-R1), and tumor necrosis factor receptor 2 (TNF-R2). Dietary intake was assessed using a food frequency questionnaire. The eADI was developed in a randomly chosen Discovery group (n = 2,216) using a 10-fold feature selection with filtering (based on Lasso regression) to select food groups most correlated with inflammatory biomarkers. From the selected foods, the eADI was then constructed based on summed scores of the consumption tertiles (corresponding to 0, 0.5, and 1 point). Next, in the Replication group (n = 2,216), the association of eADI with inflammatory biomarkers was examined using multivariable-adjusted linear regression models.
Results: eADI-17 included 17 food groups (11 with anti-inflammatory, 6 with pro-inflammatory potential). In the Replication group, the median of eADI-17 was 9 (range: 2-16) scores and the Spearman correlation coefficients for eADI-17 vs. hsCRP, IL-6, TNF-R1, and TNF-R2 were -0.17, -0.23, -0.28, and -0.26, respectively. Each increment by 4.5-point eADI-17 (2 SD) was associated with concentrations that were 12% lower for hsCRP, 6% lower for IL-6, 8% lower for TNF-R1, and 9% lower for TNF-R2. These results obtained for the Replication group were robust as they were essentially the same as those of the Discovery group.
Conclusions: The eADI-17 is a validated, robust and user-friendly anti-inflammatory diet index developed to predict low-grade chronic inflammation. This index has the potential to further refine future dietary guidelines and to be used in personalized nutrition. However, its predictive validity should be further evaluated in diverse populations.
期刊介绍:
Nutrition Journal publishes surveillance, epidemiologic, and intervention research that sheds light on i) influences (e.g., familial, environmental) on eating patterns; ii) associations between eating patterns and health, and iii) strategies to improve eating patterns among populations. The journal also welcomes manuscripts reporting on the psychometric properties (e.g., validity, reliability) and feasibility of methods (e.g., for assessing dietary intake) for human nutrition research. In addition, study protocols for controlled trials and cohort studies, with an emphasis on methods for assessing dietary exposures and outcomes as well as intervention components, will be considered.
Manuscripts that consider eating patterns holistically, as opposed to solely reductionist approaches that focus on specific dietary components in isolation, are encouraged. Also encouraged are papers that take a holistic or systems perspective in attempting to understand possible compensatory and differential effects of nutrition interventions. The journal does not consider animal studies.
In addition to the influence of eating patterns for human health, we also invite research providing insights into the environmental sustainability of dietary practices. Again, a holistic perspective is encouraged, for example, through the consideration of how eating patterns might maximize both human and planetary health.