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Dietary inflammatory index and prevalence of overweight and obesity in Brazilian graduates from the Cohort of Universities of Minas Gerais (CUME project)
The aim of this study was to evaluate the independent association of the dietary inflammatory index (DII®) score with overweight and obesity in Brazilian participants of the Cohort of Universities of Minas Gerais (CUME project). This was a cross-sectional study consisting of 3,151 graduates and post...
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Published in: | Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2020-03, Vol.71, p.110635-110635, Article 110635 |
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creator | Oliveira, Thatianne Moreira Silva Bressan, Josefina Pimenta, Adriano Marçal Martínez-González, Miguel-Ángel Shivappa, Nitin Hébert, James R. Hermsdorff, Helen Hermana Miranda |
description | The aim of this study was to evaluate the independent association of the dietary inflammatory index (DII®) score with overweight and obesity in Brazilian participants of the Cohort of Universities of Minas Gerais (CUME project).
This was a cross-sectional study consisting of 3,151 graduates and postgraduates (2197 women) with a mean (SD) age of 36.3 y (±9.4 y). Sociodemographic characteristics, lifestyle, and anthropometric data were assessed via online self-reported questionnaire. Additionally, a validated food frequency questionnaire with 144 food items was used to generate energy-adjusted DII (E-DIITM) scores, which evaluated the inflammatory potential of the diet.
The prevalence of overweight and obesity were 28.2% and 11%, respectively. Participants in the highest E-DII quartile (most proinflammatory diet) were more likely to be smokers/former smokers; sedentary; and consumers of red and ultra-processed meats, fats and oils (excluding olive oil), bottled fruit juices and soft drinks, sugars, sweets, and higher overall caloric intake, compared with the first quartile of E-DII. Both men and women in the fourth E-DII quartile had the highest prevalence of overweight and obesity (prevalence ratio [PR], 1.35; 95% confidence interval [CI], 1.14–1.59 and PR, 1.97; 95% CI, 1.20–3.22, respectively, in men; PR, 1.38; 95% CI, 1.17 to 1.65 and PR, 1.95; 95% CI, 1.31–2.90, respectively, in women).
The most proinflammatory dietary pattern was associated with a higher prevalence of overweight and obesity and other unhealthy lifestyles including being sedentary, smoking, and consuming a obesogenic diet.
•The most proinflammatory diet was independently associated with a higher prevalence of overweight and obesity in individuals with high scholarity.•A proinflammatory dietary pattern is accompanied by other unhealthy lifestyles that are risk factors for obesity and chronic diseases.•The study of the dietary pattern index can be useful in establishing risk association as well as in prevention strategies for obesity and related chronic diseases. |
doi_str_mv | 10.1016/j.nut.2019.110635 |
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This was a cross-sectional study consisting of 3,151 graduates and postgraduates (2197 women) with a mean (SD) age of 36.3 y (±9.4 y). Sociodemographic characteristics, lifestyle, and anthropometric data were assessed via online self-reported questionnaire. Additionally, a validated food frequency questionnaire with 144 food items was used to generate energy-adjusted DII (E-DIITM) scores, which evaluated the inflammatory potential of the diet.
The prevalence of overweight and obesity were 28.2% and 11%, respectively. Participants in the highest E-DII quartile (most proinflammatory diet) were more likely to be smokers/former smokers; sedentary; and consumers of red and ultra-processed meats, fats and oils (excluding olive oil), bottled fruit juices and soft drinks, sugars, sweets, and higher overall caloric intake, compared with the first quartile of E-DII. Both men and women in the fourth E-DII quartile had the highest prevalence of overweight and obesity (prevalence ratio [PR], 1.35; 95% confidence interval [CI], 1.14–1.59 and PR, 1.97; 95% CI, 1.20–3.22, respectively, in men; PR, 1.38; 95% CI, 1.17 to 1.65 and PR, 1.95; 95% CI, 1.31–2.90, respectively, in women).
The most proinflammatory dietary pattern was associated with a higher prevalence of overweight and obesity and other unhealthy lifestyles including being sedentary, smoking, and consuming a obesogenic diet.
•The most proinflammatory diet was independently associated with a higher prevalence of overweight and obesity in individuals with high scholarity.•A proinflammatory dietary pattern is accompanied by other unhealthy lifestyles that are risk factors for obesity and chronic diseases.•The study of the dietary pattern index can be useful in establishing risk association as well as in prevention strategies for obesity and related chronic diseases.</description><identifier>ISSN: 0899-9007</identifier><identifier>EISSN: 1873-1244</identifier><identifier>DOI: 10.1016/j.nut.2019.110635</identifier><identifier>PMID: 31881508</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Age ; Anthropometry ; Beverages ; Biomarkers ; Body mass index ; Body weight ; Brazil - epidemiology ; Chronic illnesses ; Cohort Studies ; Confidence intervals ; Cross-Sectional Studies ; Diet ; Diet - adverse effects ; Diet Surveys ; Diet, Healthy - statistics & numerical data ; Dietary inflammatory index ; Energy ; Evaluation ; Fats ; Female ; Flavonoids ; Food ; Fruit juices ; Gastrointestinal surgery ; Graduates ; Humans ; Inflammation ; Male ; Metabolism ; Obesity ; Obesity - epidemiology ; Obesity - etiology ; Oils & fats ; Olive oil ; Overweight ; Overweight - epidemiology ; Overweight - etiology ; Population ; Prevalence ; Questionnaires ; Smoking ; Sociodemographics ; Soft drinks ; Specialty products ; Sugar ; Tumor necrosis factor-TNF ; Universities</subject><ispartof>Nutrition (Burbank, Los Angeles County, Calif.), 2020-03, Vol.71, p.110635-110635, Article 110635</ispartof><rights>2019 Elsevier Inc.</rights><rights>Copyright © 2019 Elsevier Inc. All rights reserved.</rights><rights>2019. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-9354cb5ed7da0f3838b2ecab1daa177b35c431e35b85bd1c05cfe303454e02353</citedby><cites>FETCH-LOGICAL-c424t-9354cb5ed7da0f3838b2ecab1daa177b35c431e35b85bd1c05cfe303454e02353</cites><orcidid>0000-0002-4441-6572</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31881508$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oliveira, Thatianne Moreira Silva</creatorcontrib><creatorcontrib>Bressan, Josefina</creatorcontrib><creatorcontrib>Pimenta, Adriano Marçal</creatorcontrib><creatorcontrib>Martínez-González, Miguel-Ángel</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Hébert, James R.</creatorcontrib><creatorcontrib>Hermsdorff, Helen Hermana Miranda</creatorcontrib><title>Dietary inflammatory index and prevalence of overweight and obesity in Brazilian graduates from the Cohort of Universities of Minas Gerais (CUME project)</title><title>Nutrition (Burbank, Los Angeles County, Calif.)</title><addtitle>Nutrition</addtitle><description>The aim of this study was to evaluate the independent association of the dietary inflammatory index (DII®) score with overweight and obesity in Brazilian participants of the Cohort of Universities of Minas Gerais (CUME project).
This was a cross-sectional study consisting of 3,151 graduates and postgraduates (2197 women) with a mean (SD) age of 36.3 y (±9.4 y). Sociodemographic characteristics, lifestyle, and anthropometric data were assessed via online self-reported questionnaire. Additionally, a validated food frequency questionnaire with 144 food items was used to generate energy-adjusted DII (E-DIITM) scores, which evaluated the inflammatory potential of the diet.
The prevalence of overweight and obesity were 28.2% and 11%, respectively. Participants in the highest E-DII quartile (most proinflammatory diet) were more likely to be smokers/former smokers; sedentary; and consumers of red and ultra-processed meats, fats and oils (excluding olive oil), bottled fruit juices and soft drinks, sugars, sweets, and higher overall caloric intake, compared with the first quartile of E-DII. Both men and women in the fourth E-DII quartile had the highest prevalence of overweight and obesity (prevalence ratio [PR], 1.35; 95% confidence interval [CI], 1.14–1.59 and PR, 1.97; 95% CI, 1.20–3.22, respectively, in men; PR, 1.38; 95% CI, 1.17 to 1.65 and PR, 1.95; 95% CI, 1.31–2.90, respectively, in women).
The most proinflammatory dietary pattern was associated with a higher prevalence of overweight and obesity and other unhealthy lifestyles including being sedentary, smoking, and consuming a obesogenic diet.
•The most proinflammatory diet was independently associated with a higher prevalence of overweight and obesity in individuals with high scholarity.•A proinflammatory dietary pattern is accompanied by other unhealthy lifestyles that are risk factors for obesity and chronic diseases.•The study of the dietary pattern index can be useful in establishing risk association as well as in prevention strategies for obesity and related chronic diseases.</description><subject>Adult</subject><subject>Age</subject><subject>Anthropometry</subject><subject>Beverages</subject><subject>Biomarkers</subject><subject>Body mass index</subject><subject>Body weight</subject><subject>Brazil - epidemiology</subject><subject>Chronic illnesses</subject><subject>Cohort Studies</subject><subject>Confidence intervals</subject><subject>Cross-Sectional Studies</subject><subject>Diet</subject><subject>Diet - adverse effects</subject><subject>Diet Surveys</subject><subject>Diet, Healthy - statistics & numerical data</subject><subject>Dietary inflammatory index</subject><subject>Energy</subject><subject>Evaluation</subject><subject>Fats</subject><subject>Female</subject><subject>Flavonoids</subject><subject>Food</subject><subject>Fruit juices</subject><subject>Gastrointestinal surgery</subject><subject>Graduates</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Male</subject><subject>Metabolism</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Obesity - etiology</subject><subject>Oils & fats</subject><subject>Olive oil</subject><subject>Overweight</subject><subject>Overweight - epidemiology</subject><subject>Overweight - etiology</subject><subject>Population</subject><subject>Prevalence</subject><subject>Questionnaires</subject><subject>Smoking</subject><subject>Sociodemographics</subject><subject>Soft drinks</subject><subject>Specialty products</subject><subject>Sugar</subject><subject>Tumor necrosis factor-TNF</subject><subject>Universities</subject><issn>0899-9007</issn><issn>1873-1244</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kcFu1DAURS0EokPhA9ggS2zKIoMd2xNHrGAoBakVG2ZtOfZLx1FiF9sZaP-Ev8XpFBYsWFlP79z7rHsReknJmhK6eTus_ZzXNaHtmlKyYeIRWlHZsIrWnD9GKyLbtmoJaU7Qs5QGQgq5aZ-iE0alpILIFfr10UHW8RY73496mnQO94OFn1h7i28iHPQI3gAOPQ4HiD_AXe_z_TJ0kFxecPwh6js3Ou3xddR21hkS7mOYcN4D3oZ9iHkx2HlXLIrIlX2Zr5zXCV9A1C7hs-3u6rxcDAOY_OY5etLrMcGLh_cU7T6df9t-ri6_XnzZvr-sDK95rlomuOkE2MZq0jPJZFeD0R21WtOm6ZgwnFFgopOis9QQYXpghHHBgdRMsFN0dvQth7_PkLKaXDIwjtpDmJOqGaO1EFzygr7-Bx3CHH35XaFETXgj6qZQ9EiZGFKK0Kub6KaSsaJELb2pQZXe1NKbOvZWNK8enOduAvtX8aeoArw7AlCiODiIKhm31GJdLGkpG9x_7H8DCrSqAg</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Oliveira, Thatianne Moreira Silva</creator><creator>Bressan, Josefina</creator><creator>Pimenta, Adriano Marçal</creator><creator>Martínez-González, Miguel-Ángel</creator><creator>Shivappa, Nitin</creator><creator>Hébert, James R.</creator><creator>Hermsdorff, Helen Hermana Miranda</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RQ</scope><scope>7RV</scope><scope>7TS</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4441-6572</orcidid></search><sort><creationdate>202003</creationdate><title>Dietary inflammatory index and prevalence of overweight and obesity in Brazilian graduates from the Cohort of Universities of Minas Gerais (CUME project)</title><author>Oliveira, Thatianne Moreira Silva ; Bressan, Josefina ; Pimenta, Adriano Marçal ; Martínez-González, Miguel-Ángel ; Shivappa, Nitin ; Hébert, James R. ; Hermsdorff, Helen Hermana Miranda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-9354cb5ed7da0f3838b2ecab1daa177b35c431e35b85bd1c05cfe303454e02353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Age</topic><topic>Anthropometry</topic><topic>Beverages</topic><topic>Biomarkers</topic><topic>Body mass index</topic><topic>Body weight</topic><topic>Brazil - epidemiology</topic><topic>Chronic illnesses</topic><topic>Cohort Studies</topic><topic>Confidence intervals</topic><topic>Cross-Sectional Studies</topic><topic>Diet</topic><topic>Diet - adverse effects</topic><topic>Diet Surveys</topic><topic>Diet, Healthy - statistics & numerical data</topic><topic>Dietary inflammatory index</topic><topic>Energy</topic><topic>Evaluation</topic><topic>Fats</topic><topic>Female</topic><topic>Flavonoids</topic><topic>Food</topic><topic>Fruit juices</topic><topic>Gastrointestinal surgery</topic><topic>Graduates</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Male</topic><topic>Metabolism</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Obesity - etiology</topic><topic>Oils & fats</topic><topic>Olive oil</topic><topic>Overweight</topic><topic>Overweight - epidemiology</topic><topic>Overweight - etiology</topic><topic>Population</topic><topic>Prevalence</topic><topic>Questionnaires</topic><topic>Smoking</topic><topic>Sociodemographics</topic><topic>Soft drinks</topic><topic>Specialty products</topic><topic>Sugar</topic><topic>Tumor necrosis factor-TNF</topic><topic>Universities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oliveira, Thatianne Moreira Silva</creatorcontrib><creatorcontrib>Bressan, Josefina</creatorcontrib><creatorcontrib>Pimenta, Adriano Marçal</creatorcontrib><creatorcontrib>Martínez-González, Miguel-Ángel</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Hébert, James R.</creatorcontrib><creatorcontrib>Hermsdorff, Helen Hermana Miranda</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>PML(ProQuest Medical Library)</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oliveira, Thatianne Moreira Silva</au><au>Bressan, Josefina</au><au>Pimenta, Adriano Marçal</au><au>Martínez-González, Miguel-Ángel</au><au>Shivappa, Nitin</au><au>Hébert, James R.</au><au>Hermsdorff, Helen Hermana Miranda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dietary inflammatory index and prevalence of overweight and obesity in Brazilian graduates from the Cohort of Universities of Minas Gerais (CUME project)</atitle><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle><addtitle>Nutrition</addtitle><date>2020-03</date><risdate>2020</risdate><volume>71</volume><spage>110635</spage><epage>110635</epage><pages>110635-110635</pages><artnum>110635</artnum><issn>0899-9007</issn><eissn>1873-1244</eissn><abstract>The aim of this study was to evaluate the independent association of the dietary inflammatory index (DII®) score with overweight and obesity in Brazilian participants of the Cohort of Universities of Minas Gerais (CUME project).
This was a cross-sectional study consisting of 3,151 graduates and postgraduates (2197 women) with a mean (SD) age of 36.3 y (±9.4 y). Sociodemographic characteristics, lifestyle, and anthropometric data were assessed via online self-reported questionnaire. Additionally, a validated food frequency questionnaire with 144 food items was used to generate energy-adjusted DII (E-DIITM) scores, which evaluated the inflammatory potential of the diet.
The prevalence of overweight and obesity were 28.2% and 11%, respectively. Participants in the highest E-DII quartile (most proinflammatory diet) were more likely to be smokers/former smokers; sedentary; and consumers of red and ultra-processed meats, fats and oils (excluding olive oil), bottled fruit juices and soft drinks, sugars, sweets, and higher overall caloric intake, compared with the first quartile of E-DII. Both men and women in the fourth E-DII quartile had the highest prevalence of overweight and obesity (prevalence ratio [PR], 1.35; 95% confidence interval [CI], 1.14–1.59 and PR, 1.97; 95% CI, 1.20–3.22, respectively, in men; PR, 1.38; 95% CI, 1.17 to 1.65 and PR, 1.95; 95% CI, 1.31–2.90, respectively, in women).
The most proinflammatory dietary pattern was associated with a higher prevalence of overweight and obesity and other unhealthy lifestyles including being sedentary, smoking, and consuming a obesogenic diet.
•The most proinflammatory diet was independently associated with a higher prevalence of overweight and obesity in individuals with high scholarity.•A proinflammatory dietary pattern is accompanied by other unhealthy lifestyles that are risk factors for obesity and chronic diseases.•The study of the dietary pattern index can be useful in establishing risk association as well as in prevention strategies for obesity and related chronic diseases.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>31881508</pmid><doi>10.1016/j.nut.2019.110635</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-4441-6572</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Anthropometry Beverages Biomarkers Body mass index Body weight Brazil - epidemiology Chronic illnesses Cohort Studies Confidence intervals Cross-Sectional Studies Diet Diet - adverse effects Diet Surveys Diet, Healthy - statistics & numerical data Dietary inflammatory index Energy Evaluation Fats Female Flavonoids Food Fruit juices Gastrointestinal surgery Graduates Humans Inflammation Male Metabolism Obesity Obesity - epidemiology Obesity - etiology Oils & fats Olive oil Overweight Overweight - epidemiology Overweight - etiology Population Prevalence Questionnaires Smoking Sociodemographics Soft drinks Specialty products Sugar Tumor necrosis factor-TNF Universities |
title | Dietary inflammatory index and prevalence of overweight and obesity in Brazilian graduates from the Cohort of Universities of Minas Gerais (CUME project) |
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