Diet during pregnancy: Ultra-processed foods and the inflammatory potential of diet
•Ultra-processed foods were considerably present in the diet of pregnant women.•Dietary Inflammatory Index score was associated with food processing.•Associating food processing with Dietary Inflammatory Index scores could help establishing dietary guidelines. The aim of this study was to evaluate t...
Gespeichert in:
Veröffentlicht in: | Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2022-05, Vol.97, p.111603-111603, Article 111603 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 111603 |
---|---|
container_issue | |
container_start_page | 111603 |
container_title | Nutrition (Burbank, Los Angeles County, Calif.) |
container_volume | 97 |
creator | Silva, Cecília Augusta Moraes Oliveira de Souza, Julia Magalhães Ferreira, Larissa Bueno Souza, Rafaela Cristina Vieira Shivappa, Nitin Hébert, James R. Santos, Luana Caroline |
description | •Ultra-processed foods were considerably present in the diet of pregnant women.•Dietary Inflammatory Index score was associated with food processing.•Associating food processing with Dietary Inflammatory Index scores could help establishing dietary guidelines.
The aim of this study was to evaluate the association between the food consumption of pregnant women and the degree of industrial processing using the Energy-Adjusted Dietary Inflammatory Index (E-DII).
This was a cross-sectional study of 237 women in the immediate postpartum period, ages 19 to 43. Sociodemographic, anthropometric, and food consumption information related to the gestational period were collected. A semiquantitative food frequency questionnaire was used to determine the contribution of each food processing category to the energetic consumption. Using the calculation of the E-DII score (divided into quartiles), 27 dietary parameters were considered. Kruskal–Wallis, Mann–Whitney, and χ2 tests, as well as ordinal multinomial logistic regression models, were used.
The increase in E-DII score was associated with an increase in the consumption of ultra-processed foods (quartile 1: 10.42% [0.00%–44.63%] < quartile 4: 34.17% [2.72%–74.90%]; P < 0.001) and a reduction in the consumption of unprocessed and minimally processed foods (quartile 1: 64.59% [34.08%–88.32%] > quartile 4: 44.64% [16.15%–70.59%]; P < 0.001). In the final regression model, women classified in the fourth quartile (most proinflammatory) were more likely to have a higher consumption of ultra-processed (odds ratio: 1.15; 95% confidence interval, 1.10–1.20) and processed products (odds ratio: 1.07; 95% confidence interval, 1.02–1.13). There was no association with gestational, sociodemographic, and maternal nutritional status information.
The increase in the consumption of foods with a higher degree of processing is associated with a more proinflammatory potential of the maternal diet. |
doi_str_mv | 10.1016/j.nut.2022.111603 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2640996213</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0899900722000168</els_id><sourcerecordid>2640996213</sourcerecordid><originalsourceid>FETCH-LOGICAL-c381t-54da38e51c4245e857d15773ea8a591e1057ae9cbf4f8f149bf2e6ee515e5ea23</originalsourceid><addsrcrecordid>eNp9kL1uFDEURi0EIkvgAWiQJRqaWXz9MzOGCgUCSJEoILXlte8Er2bsxfYg7dvj1QaKFFS3Od_R1SHkJbAtMOjf7rdxrVvOON8CQM_EI7KBcRAdcCkfkw0bte40Y8MFeVbKnjEGutdPyYVQginB5YZ8_xiwUr_mEO_oIeNdtNEd39HbuWbbHXJyWAp6OqXkC7XR0_oTaYjTbJfF1pSP9JAqxhrsTNNEfdM9J08mOxd8cX8vye31px9XX7qbb5-_Xn246ZwYoXZKeitGVOAklwpHNXhQwyDQjlZpQGBqsKjdbpLTOIHUu4ljj22gUKHl4pK8OXvbm79WLNUsoTicZxsxrcXwXjKtew6ioa8foPu05ti-O1EjsBZjaBScKZdTKRknc8hhsflogJlTcbM3rbg5FTfn4m3z6t687hb0_xZ_Ezfg_RnAluJ3wGyKCxgd-pDRVeNT-I_-D48rkH4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2648103247</pqid></control><display><type>article</type><title>Diet during pregnancy: Ultra-processed foods and the inflammatory potential of diet</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><source>ProQuest Central UK/Ireland</source><creator>Silva, Cecília Augusta Moraes Oliveira ; de Souza, Julia Magalhães ; Ferreira, Larissa Bueno ; Souza, Rafaela Cristina Vieira ; Shivappa, Nitin ; Hébert, James R. ; Santos, Luana Caroline</creator><creatorcontrib>Silva, Cecília Augusta Moraes Oliveira ; de Souza, Julia Magalhães ; Ferreira, Larissa Bueno ; Souza, Rafaela Cristina Vieira ; Shivappa, Nitin ; Hébert, James R. ; Santos, Luana Caroline</creatorcontrib><description>•Ultra-processed foods were considerably present in the diet of pregnant women.•Dietary Inflammatory Index score was associated with food processing.•Associating food processing with Dietary Inflammatory Index scores could help establishing dietary guidelines.
The aim of this study was to evaluate the association between the food consumption of pregnant women and the degree of industrial processing using the Energy-Adjusted Dietary Inflammatory Index (E-DII).
This was a cross-sectional study of 237 women in the immediate postpartum period, ages 19 to 43. Sociodemographic, anthropometric, and food consumption information related to the gestational period were collected. A semiquantitative food frequency questionnaire was used to determine the contribution of each food processing category to the energetic consumption. Using the calculation of the E-DII score (divided into quartiles), 27 dietary parameters were considered. Kruskal–Wallis, Mann–Whitney, and χ2 tests, as well as ordinal multinomial logistic regression models, were used.
The increase in E-DII score was associated with an increase in the consumption of ultra-processed foods (quartile 1: 10.42% [0.00%–44.63%] < quartile 4: 34.17% [2.72%–74.90%]; P < 0.001) and a reduction in the consumption of unprocessed and minimally processed foods (quartile 1: 64.59% [34.08%–88.32%] > quartile 4: 44.64% [16.15%–70.59%]; P < 0.001). In the final regression model, women classified in the fourth quartile (most proinflammatory) were more likely to have a higher consumption of ultra-processed (odds ratio: 1.15; 95% confidence interval, 1.10–1.20) and processed products (odds ratio: 1.07; 95% confidence interval, 1.02–1.13). There was no association with gestational, sociodemographic, and maternal nutritional status information.
The increase in the consumption of foods with a higher degree of processing is associated with a more proinflammatory potential of the maternal diet.</description><identifier>ISSN: 0899-9007</identifier><identifier>EISSN: 1873-1244</identifier><identifier>DOI: 10.1016/j.nut.2022.111603</identifier><identifier>PMID: 35305324</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Age ; Body mass index ; Confidence intervals ; Cross-Sectional Studies ; Diet ; Dietary inflammatory index ; E-DII ; Education ; Energy ; Family income ; Fast Foods - adverse effects ; Female ; Food ; Food consumption ; Food Handling ; Food processing ; Humans ; Inflammation ; Maternal Nutritional Physiological Phenomena ; Nutrition research ; Nutritional status ; Postpartum period ; Pregnancy ; Pregnant women ; Processed foods ; Quartiles ; Questionnaires ; Regression analysis ; Regression models ; Sociodemographics ; Software ; Statistical analysis ; Ultra-processed food ; Values ; Womens health ; Young Adult</subject><ispartof>Nutrition (Burbank, Los Angeles County, Calif.), 2022-05, Vol.97, p.111603-111603, Article 111603</ispartof><rights>2022 Elsevier Inc.</rights><rights>Copyright © 2022 Elsevier Inc. All rights reserved.</rights><rights>2022. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-54da38e51c4245e857d15773ea8a591e1057ae9cbf4f8f149bf2e6ee515e5ea23</citedby><cites>FETCH-LOGICAL-c381t-54da38e51c4245e857d15773ea8a591e1057ae9cbf4f8f149bf2e6ee515e5ea23</cites><orcidid>0000-0002-2123-4311</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2648103247?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35305324$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Silva, Cecília Augusta Moraes Oliveira</creatorcontrib><creatorcontrib>de Souza, Julia Magalhães</creatorcontrib><creatorcontrib>Ferreira, Larissa Bueno</creatorcontrib><creatorcontrib>Souza, Rafaela Cristina Vieira</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Hébert, James R.</creatorcontrib><creatorcontrib>Santos, Luana Caroline</creatorcontrib><title>Diet during pregnancy: Ultra-processed foods and the inflammatory potential of diet</title><title>Nutrition (Burbank, Los Angeles County, Calif.)</title><addtitle>Nutrition</addtitle><description>•Ultra-processed foods were considerably present in the diet of pregnant women.•Dietary Inflammatory Index score was associated with food processing.•Associating food processing with Dietary Inflammatory Index scores could help establishing dietary guidelines.
The aim of this study was to evaluate the association between the food consumption of pregnant women and the degree of industrial processing using the Energy-Adjusted Dietary Inflammatory Index (E-DII).
This was a cross-sectional study of 237 women in the immediate postpartum period, ages 19 to 43. Sociodemographic, anthropometric, and food consumption information related to the gestational period were collected. A semiquantitative food frequency questionnaire was used to determine the contribution of each food processing category to the energetic consumption. Using the calculation of the E-DII score (divided into quartiles), 27 dietary parameters were considered. Kruskal–Wallis, Mann–Whitney, and χ2 tests, as well as ordinal multinomial logistic regression models, were used.
The increase in E-DII score was associated with an increase in the consumption of ultra-processed foods (quartile 1: 10.42% [0.00%–44.63%] < quartile 4: 34.17% [2.72%–74.90%]; P < 0.001) and a reduction in the consumption of unprocessed and minimally processed foods (quartile 1: 64.59% [34.08%–88.32%] > quartile 4: 44.64% [16.15%–70.59%]; P < 0.001). In the final regression model, women classified in the fourth quartile (most proinflammatory) were more likely to have a higher consumption of ultra-processed (odds ratio: 1.15; 95% confidence interval, 1.10–1.20) and processed products (odds ratio: 1.07; 95% confidence interval, 1.02–1.13). There was no association with gestational, sociodemographic, and maternal nutritional status information.
The increase in the consumption of foods with a higher degree of processing is associated with a more proinflammatory potential of the maternal diet.</description><subject>Adult</subject><subject>Age</subject><subject>Body mass index</subject><subject>Confidence intervals</subject><subject>Cross-Sectional Studies</subject><subject>Diet</subject><subject>Dietary inflammatory index</subject><subject>E-DII</subject><subject>Education</subject><subject>Energy</subject><subject>Family income</subject><subject>Fast Foods - adverse effects</subject><subject>Female</subject><subject>Food</subject><subject>Food consumption</subject><subject>Food Handling</subject><subject>Food processing</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Maternal Nutritional Physiological Phenomena</subject><subject>Nutrition research</subject><subject>Nutritional status</subject><subject>Postpartum period</subject><subject>Pregnancy</subject><subject>Pregnant women</subject><subject>Processed foods</subject><subject>Quartiles</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Sociodemographics</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Ultra-processed food</subject><subject>Values</subject><subject>Womens health</subject><subject>Young Adult</subject><issn>0899-9007</issn><issn>1873-1244</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kL1uFDEURi0EIkvgAWiQJRqaWXz9MzOGCgUCSJEoILXlte8Er2bsxfYg7dvj1QaKFFS3Od_R1SHkJbAtMOjf7rdxrVvOON8CQM_EI7KBcRAdcCkfkw0bte40Y8MFeVbKnjEGutdPyYVQginB5YZ8_xiwUr_mEO_oIeNdtNEd39HbuWbbHXJyWAp6OqXkC7XR0_oTaYjTbJfF1pSP9JAqxhrsTNNEfdM9J08mOxd8cX8vye31px9XX7qbb5-_Xn246ZwYoXZKeitGVOAklwpHNXhQwyDQjlZpQGBqsKjdbpLTOIHUu4ljj22gUKHl4pK8OXvbm79WLNUsoTicZxsxrcXwXjKtew6ioa8foPu05ti-O1EjsBZjaBScKZdTKRknc8hhsflogJlTcbM3rbg5FTfn4m3z6t687hb0_xZ_Ezfg_RnAluJ3wGyKCxgd-pDRVeNT-I_-D48rkH4</recordid><startdate>202205</startdate><enddate>202205</enddate><creator>Silva, Cecília Augusta Moraes Oliveira</creator><creator>de Souza, Julia Magalhães</creator><creator>Ferreira, Larissa Bueno</creator><creator>Souza, Rafaela Cristina Vieira</creator><creator>Shivappa, Nitin</creator><creator>Hébert, James R.</creator><creator>Santos, Luana Caroline</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>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2123-4311</orcidid></search><sort><creationdate>202205</creationdate><title>Diet during pregnancy: Ultra-processed foods and the inflammatory potential of diet</title><author>Silva, Cecília Augusta Moraes Oliveira ; de Souza, Julia Magalhães ; Ferreira, Larissa Bueno ; Souza, Rafaela Cristina Vieira ; Shivappa, Nitin ; Hébert, James R. ; Santos, Luana Caroline</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-54da38e51c4245e857d15773ea8a591e1057ae9cbf4f8f149bf2e6ee515e5ea23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adult</topic><topic>Age</topic><topic>Body mass index</topic><topic>Confidence intervals</topic><topic>Cross-Sectional Studies</topic><topic>Diet</topic><topic>Dietary inflammatory index</topic><topic>E-DII</topic><topic>Education</topic><topic>Energy</topic><topic>Family income</topic><topic>Fast Foods - adverse effects</topic><topic>Female</topic><topic>Food</topic><topic>Food consumption</topic><topic>Food Handling</topic><topic>Food processing</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Maternal Nutritional Physiological Phenomena</topic><topic>Nutrition research</topic><topic>Nutritional status</topic><topic>Postpartum period</topic><topic>Pregnancy</topic><topic>Pregnant women</topic><topic>Processed foods</topic><topic>Quartiles</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Sociodemographics</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Ultra-processed food</topic><topic>Values</topic><topic>Womens health</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva, Cecília Augusta Moraes Oliveira</creatorcontrib><creatorcontrib>de Souza, Julia Magalhães</creatorcontrib><creatorcontrib>Ferreira, Larissa Bueno</creatorcontrib><creatorcontrib>Souza, Rafaela Cristina Vieira</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Hébert, James R.</creatorcontrib><creatorcontrib>Santos, Luana Caroline</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>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</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</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 Edition)</collection><collection>ProQuest Central UK/Ireland</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 Korea</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>Medical Database</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 China</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>Silva, Cecília Augusta Moraes Oliveira</au><au>de Souza, Julia Magalhães</au><au>Ferreira, Larissa Bueno</au><au>Souza, Rafaela Cristina Vieira</au><au>Shivappa, Nitin</au><au>Hébert, James R.</au><au>Santos, Luana Caroline</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diet during pregnancy: Ultra-processed foods and the inflammatory potential of diet</atitle><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle><addtitle>Nutrition</addtitle><date>2022-05</date><risdate>2022</risdate><volume>97</volume><spage>111603</spage><epage>111603</epage><pages>111603-111603</pages><artnum>111603</artnum><issn>0899-9007</issn><eissn>1873-1244</eissn><abstract>•Ultra-processed foods were considerably present in the diet of pregnant women.•Dietary Inflammatory Index score was associated with food processing.•Associating food processing with Dietary Inflammatory Index scores could help establishing dietary guidelines.
The aim of this study was to evaluate the association between the food consumption of pregnant women and the degree of industrial processing using the Energy-Adjusted Dietary Inflammatory Index (E-DII).
This was a cross-sectional study of 237 women in the immediate postpartum period, ages 19 to 43. Sociodemographic, anthropometric, and food consumption information related to the gestational period were collected. A semiquantitative food frequency questionnaire was used to determine the contribution of each food processing category to the energetic consumption. Using the calculation of the E-DII score (divided into quartiles), 27 dietary parameters were considered. Kruskal–Wallis, Mann–Whitney, and χ2 tests, as well as ordinal multinomial logistic regression models, were used.
The increase in E-DII score was associated with an increase in the consumption of ultra-processed foods (quartile 1: 10.42% [0.00%–44.63%] < quartile 4: 34.17% [2.72%–74.90%]; P < 0.001) and a reduction in the consumption of unprocessed and minimally processed foods (quartile 1: 64.59% [34.08%–88.32%] > quartile 4: 44.64% [16.15%–70.59%]; P < 0.001). In the final regression model, women classified in the fourth quartile (most proinflammatory) were more likely to have a higher consumption of ultra-processed (odds ratio: 1.15; 95% confidence interval, 1.10–1.20) and processed products (odds ratio: 1.07; 95% confidence interval, 1.02–1.13). There was no association with gestational, sociodemographic, and maternal nutritional status information.
The increase in the consumption of foods with a higher degree of processing is associated with a more proinflammatory potential of the maternal diet.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>35305324</pmid><doi>10.1016/j.nut.2022.111603</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-2123-4311</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0899-9007 |
ispartof | Nutrition (Burbank, Los Angeles County, Calif.), 2022-05, Vol.97, p.111603-111603, Article 111603 |
issn | 0899-9007 1873-1244 |
language | eng |
recordid | cdi_proquest_miscellaneous_2640996213 |
source | MEDLINE; Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland |
subjects | Adult Age Body mass index Confidence intervals Cross-Sectional Studies Diet Dietary inflammatory index E-DII Education Energy Family income Fast Foods - adverse effects Female Food Food consumption Food Handling Food processing Humans Inflammation Maternal Nutritional Physiological Phenomena Nutrition research Nutritional status Postpartum period Pregnancy Pregnant women Processed foods Quartiles Questionnaires Regression analysis Regression models Sociodemographics Software Statistical analysis Ultra-processed food Values Womens health Young Adult |
title | Diet during pregnancy: Ultra-processed foods and the inflammatory potential of diet |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T01%3A49%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diet%20during%20pregnancy:%20Ultra-processed%20foods%20and%20the%20inflammatory%20potential%20of%20diet&rft.jtitle=Nutrition%20(Burbank,%20Los%20Angeles%20County,%20Calif.)&rft.au=Silva,%20Cec%C3%ADlia%20Augusta%20Moraes%20Oliveira&rft.date=2022-05&rft.volume=97&rft.spage=111603&rft.epage=111603&rft.pages=111603-111603&rft.artnum=111603&rft.issn=0899-9007&rft.eissn=1873-1244&rft_id=info:doi/10.1016/j.nut.2022.111603&rft_dat=%3Cproquest_cross%3E2640996213%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2648103247&rft_id=info:pmid/35305324&rft_els_id=S0899900722000168&rfr_iscdi=true |