Loading…
Association between Diet and Adiposity in Adults: Influence of Sedentary Behavior Patterns
This study analyzed the influence of sedentary behavior (SB) on the association between dietary patterns and adiposity in community-dwelling adults. Eight hundred and forty-three adults (age: 56.5 ± 18.3 years) participated in this cross-sectional epidemiological study. Dietary patterns were evaluat...
Saved in:
Published in: | Healthcare (Basel) 2023-04, Vol.11 (8), p.1157 |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c498t-2006dbd9981f0dd16887dfd0a5e3b95312567a3d818eb2c62af8be0dfd09c193 |
---|---|
cites | cdi_FETCH-LOGICAL-c498t-2006dbd9981f0dd16887dfd0a5e3b95312567a3d818eb2c62af8be0dfd09c193 |
container_end_page | |
container_issue | 8 |
container_start_page | 1157 |
container_title | Healthcare (Basel) |
container_volume | 11 |
creator | Beretta, Victor Spiandor Tebar, William Rodrigues Scarabottolo, Catarina Covolo Delfino, Leandro Dragueta Saraiva, Bruna Thamyres Ciccotti Santos, Amanda Barbosa Antunes, Ewerton Pegorelli Leoci, Isabella Cristina Ferrari, Gerson Christofaro, Diego Giulliano Destro |
description | This study analyzed the influence of sedentary behavior (SB) on the association between dietary patterns and adiposity in community-dwelling adults. Eight hundred and forty-three adults (age: 56.5 ± 18.3 years) participated in this cross-sectional epidemiological study. Dietary patterns were evaluated using self-report questions regarding the weekly frequency of consumption of certain foods. Adiposity was determined using anthropometric measurements of weight, waist circumference, and height. SB was evaluated according to the time spent on screen devices. The usual physical activity level and socioeconomic status were considered confounding factors. Associations were determined using multivariate linear models with simultaneous adjustments for confounding variables. A statistical analysis indicated that fruit consumption was negatively related to the body mass index, regardless of the adjustment for SB domains. Red meat consumption was positively related to the body mass index, and fried food consumption was positively related to the waist-to-height ratio, regardless of the adjustment for SB domains. The consumption of fried food was positively associated with global and central adiposity after the adjustments for confounding factors and time spent on screen devices. We concluded that dietary habits are related to adiposity in adults. However, SB domains seem to influence the relationship between body adiposity and dietary habits, mainly regarding the consumption of fried foods. |
doi_str_mv | 10.3390/healthcare11081157 |
format | article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10138045</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A747445368</galeid><sourcerecordid>A747445368</sourcerecordid><originalsourceid>FETCH-LOGICAL-c498t-2006dbd9981f0dd16887dfd0a5e3b95312567a3d818eb2c62af8be0dfd09c193</originalsourceid><addsrcrecordid>eNptksluHCEQhlGUKLYmfoEcLCRfchmHpRfwJRo7iy1ZcqT4lAuiofBg9cAEaFt--zDyvsCB7fv_KkqF0GdK9jmX5OsS9FiWRieglAhK2_4d2maM9XNJOHv_ZL-FdnK-JHVIygVvP6It3lPSS0m20d9FztF4XXwMeIByDRDwdw8F62Dxwvp1zL7cYB_qYRpLPsAnwY0TBAM4OvwHLISi0w0-hKW-8jHh37oUSCF_Qh-cHjPs3K0zdP7zx_nR8fz07NfJ0eJ0bhopypwR0tnBSimoI9bSTojeOkt0C3yQLaes7XrNraACBmY6pp0YgGwQaajkM_Tt1nY9DSuwpqaT9KjWya9qWipqr56_BL9UF_FKUVLLQZq2Ony5c0jx3wS5qJXPBsZRB4hTVkzUYtGWVX6G9l6gl3FKoX5vQ3Vtwynnj9SFHkH54GINbDamatE3fVNjdqJS-29QdVpYeRMDOF_vnwnYrcCkmHMC9_BJStSmKdTrpqii3afleZDctwD_D_OntDo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2806543133</pqid></control><display><type>article</type><title>Association between Diet and Adiposity in Adults: Influence of Sedentary Behavior Patterns</title><source>Publicly Available Content (ProQuest)</source><source>PubMed Central</source><source>Coronavirus Research Database</source><creator>Beretta, Victor Spiandor ; Tebar, William Rodrigues ; Scarabottolo, Catarina Covolo ; Delfino, Leandro Dragueta ; Saraiva, Bruna Thamyres Ciccotti ; Santos, Amanda Barbosa ; Antunes, Ewerton Pegorelli ; Leoci, Isabella Cristina ; Ferrari, Gerson ; Christofaro, Diego Giulliano Destro</creator><creatorcontrib>Beretta, Victor Spiandor ; Tebar, William Rodrigues ; Scarabottolo, Catarina Covolo ; Delfino, Leandro Dragueta ; Saraiva, Bruna Thamyres Ciccotti ; Santos, Amanda Barbosa ; Antunes, Ewerton Pegorelli ; Leoci, Isabella Cristina ; Ferrari, Gerson ; Christofaro, Diego Giulliano Destro</creatorcontrib><description>This study analyzed the influence of sedentary behavior (SB) on the association between dietary patterns and adiposity in community-dwelling adults. Eight hundred and forty-three adults (age: 56.5 ± 18.3 years) participated in this cross-sectional epidemiological study. Dietary patterns were evaluated using self-report questions regarding the weekly frequency of consumption of certain foods. Adiposity was determined using anthropometric measurements of weight, waist circumference, and height. SB was evaluated according to the time spent on screen devices. The usual physical activity level and socioeconomic status were considered confounding factors. Associations were determined using multivariate linear models with simultaneous adjustments for confounding variables. A statistical analysis indicated that fruit consumption was negatively related to the body mass index, regardless of the adjustment for SB domains. Red meat consumption was positively related to the body mass index, and fried food consumption was positively related to the waist-to-height ratio, regardless of the adjustment for SB domains. The consumption of fried food was positively associated with global and central adiposity after the adjustments for confounding factors and time spent on screen devices. We concluded that dietary habits are related to adiposity in adults. However, SB domains seem to influence the relationship between body adiposity and dietary habits, mainly regarding the consumption of fried foods.</description><identifier>ISSN: 2227-9032</identifier><identifier>EISSN: 2227-9032</identifier><identifier>DOI: 10.3390/healthcare11081157</identifier><identifier>PMID: 37107990</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adipose tissues ; Body mass index ; Confounding (Statistics) ; Dairy products ; Data collection ; Diet ; Health aspects ; Influence ; Measurement ; Meat ; Mortality ; Obesity ; Overweight ; Questionnaires ; Sedentary behavior ; Socioeconomic factors ; Soft drinks</subject><ispartof>Healthcare (Basel), 2023-04, Vol.11 (8), p.1157</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c498t-2006dbd9981f0dd16887dfd0a5e3b95312567a3d818eb2c62af8be0dfd09c193</citedby><cites>FETCH-LOGICAL-c498t-2006dbd9981f0dd16887dfd0a5e3b95312567a3d818eb2c62af8be0dfd09c193</cites><orcidid>0000-0003-1141-245X ; 0000-0002-4640-7733 ; 0000-0002-6192-4667 ; 0000-0002-0902-0433 ; 0000-0003-3177-6576</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2806543133/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2806543133?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,38493,43871,44566,53766,53768,74155,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37107990$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Beretta, Victor Spiandor</creatorcontrib><creatorcontrib>Tebar, William Rodrigues</creatorcontrib><creatorcontrib>Scarabottolo, Catarina Covolo</creatorcontrib><creatorcontrib>Delfino, Leandro Dragueta</creatorcontrib><creatorcontrib>Saraiva, Bruna Thamyres Ciccotti</creatorcontrib><creatorcontrib>Santos, Amanda Barbosa</creatorcontrib><creatorcontrib>Antunes, Ewerton Pegorelli</creatorcontrib><creatorcontrib>Leoci, Isabella Cristina</creatorcontrib><creatorcontrib>Ferrari, Gerson</creatorcontrib><creatorcontrib>Christofaro, Diego Giulliano Destro</creatorcontrib><title>Association between Diet and Adiposity in Adults: Influence of Sedentary Behavior Patterns</title><title>Healthcare (Basel)</title><addtitle>Healthcare (Basel)</addtitle><description>This study analyzed the influence of sedentary behavior (SB) on the association between dietary patterns and adiposity in community-dwelling adults. Eight hundred and forty-three adults (age: 56.5 ± 18.3 years) participated in this cross-sectional epidemiological study. Dietary patterns were evaluated using self-report questions regarding the weekly frequency of consumption of certain foods. Adiposity was determined using anthropometric measurements of weight, waist circumference, and height. SB was evaluated according to the time spent on screen devices. The usual physical activity level and socioeconomic status were considered confounding factors. Associations were determined using multivariate linear models with simultaneous adjustments for confounding variables. A statistical analysis indicated that fruit consumption was negatively related to the body mass index, regardless of the adjustment for SB domains. Red meat consumption was positively related to the body mass index, and fried food consumption was positively related to the waist-to-height ratio, regardless of the adjustment for SB domains. The consumption of fried food was positively associated with global and central adiposity after the adjustments for confounding factors and time spent on screen devices. We concluded that dietary habits are related to adiposity in adults. However, SB domains seem to influence the relationship between body adiposity and dietary habits, mainly regarding the consumption of fried foods.</description><subject>Adipose tissues</subject><subject>Body mass index</subject><subject>Confounding (Statistics)</subject><subject>Dairy products</subject><subject>Data collection</subject><subject>Diet</subject><subject>Health aspects</subject><subject>Influence</subject><subject>Measurement</subject><subject>Meat</subject><subject>Mortality</subject><subject>Obesity</subject><subject>Overweight</subject><subject>Questionnaires</subject><subject>Sedentary behavior</subject><subject>Socioeconomic factors</subject><subject>Soft drinks</subject><issn>2227-9032</issn><issn>2227-9032</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><recordid>eNptksluHCEQhlGUKLYmfoEcLCRfchmHpRfwJRo7iy1ZcqT4lAuiofBg9cAEaFt--zDyvsCB7fv_KkqF0GdK9jmX5OsS9FiWRieglAhK2_4d2maM9XNJOHv_ZL-FdnK-JHVIygVvP6It3lPSS0m20d9FztF4XXwMeIByDRDwdw8F62Dxwvp1zL7cYB_qYRpLPsAnwY0TBAM4OvwHLISi0w0-hKW-8jHh37oUSCF_Qh-cHjPs3K0zdP7zx_nR8fz07NfJ0eJ0bhopypwR0tnBSimoI9bSTojeOkt0C3yQLaes7XrNraACBmY6pp0YgGwQaajkM_Tt1nY9DSuwpqaT9KjWya9qWipqr56_BL9UF_FKUVLLQZq2Ony5c0jx3wS5qJXPBsZRB4hTVkzUYtGWVX6G9l6gl3FKoX5vQ3Vtwynnj9SFHkH54GINbDamatE3fVNjdqJS-29QdVpYeRMDOF_vnwnYrcCkmHMC9_BJStSmKdTrpqii3afleZDctwD_D_OntDo</recordid><startdate>20230418</startdate><enddate>20230418</enddate><creator>Beretta, Victor Spiandor</creator><creator>Tebar, William Rodrigues</creator><creator>Scarabottolo, Catarina Covolo</creator><creator>Delfino, Leandro Dragueta</creator><creator>Saraiva, Bruna Thamyres Ciccotti</creator><creator>Santos, Amanda Barbosa</creator><creator>Antunes, Ewerton Pegorelli</creator><creator>Leoci, Isabella Cristina</creator><creator>Ferrari, Gerson</creator><creator>Christofaro, Diego Giulliano Destro</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>KB0</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1141-245X</orcidid><orcidid>https://orcid.org/0000-0002-4640-7733</orcidid><orcidid>https://orcid.org/0000-0002-6192-4667</orcidid><orcidid>https://orcid.org/0000-0002-0902-0433</orcidid><orcidid>https://orcid.org/0000-0003-3177-6576</orcidid></search><sort><creationdate>20230418</creationdate><title>Association between Diet and Adiposity in Adults: Influence of Sedentary Behavior Patterns</title><author>Beretta, Victor Spiandor ; Tebar, William Rodrigues ; Scarabottolo, Catarina Covolo ; Delfino, Leandro Dragueta ; Saraiva, Bruna Thamyres Ciccotti ; Santos, Amanda Barbosa ; Antunes, Ewerton Pegorelli ; Leoci, Isabella Cristina ; Ferrari, Gerson ; Christofaro, Diego Giulliano Destro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c498t-2006dbd9981f0dd16887dfd0a5e3b95312567a3d818eb2c62af8be0dfd09c193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adipose tissues</topic><topic>Body mass index</topic><topic>Confounding (Statistics)</topic><topic>Dairy products</topic><topic>Data collection</topic><topic>Diet</topic><topic>Health aspects</topic><topic>Influence</topic><topic>Measurement</topic><topic>Meat</topic><topic>Mortality</topic><topic>Obesity</topic><topic>Overweight</topic><topic>Questionnaires</topic><topic>Sedentary behavior</topic><topic>Socioeconomic factors</topic><topic>Soft drinks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Beretta, Victor Spiandor</creatorcontrib><creatorcontrib>Tebar, William Rodrigues</creatorcontrib><creatorcontrib>Scarabottolo, Catarina Covolo</creatorcontrib><creatorcontrib>Delfino, Leandro Dragueta</creatorcontrib><creatorcontrib>Saraiva, Bruna Thamyres Ciccotti</creatorcontrib><creatorcontrib>Santos, Amanda Barbosa</creatorcontrib><creatorcontrib>Antunes, Ewerton Pegorelli</creatorcontrib><creatorcontrib>Leoci, Isabella Cristina</creatorcontrib><creatorcontrib>Ferrari, Gerson</creatorcontrib><creatorcontrib>Christofaro, Diego Giulliano Destro</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Public Health Database</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>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</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>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content (ProQuest)</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Healthcare (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Beretta, Victor Spiandor</au><au>Tebar, William Rodrigues</au><au>Scarabottolo, Catarina Covolo</au><au>Delfino, Leandro Dragueta</au><au>Saraiva, Bruna Thamyres Ciccotti</au><au>Santos, Amanda Barbosa</au><au>Antunes, Ewerton Pegorelli</au><au>Leoci, Isabella Cristina</au><au>Ferrari, Gerson</au><au>Christofaro, Diego Giulliano Destro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between Diet and Adiposity in Adults: Influence of Sedentary Behavior Patterns</atitle><jtitle>Healthcare (Basel)</jtitle><addtitle>Healthcare (Basel)</addtitle><date>2023-04-18</date><risdate>2023</risdate><volume>11</volume><issue>8</issue><spage>1157</spage><pages>1157-</pages><issn>2227-9032</issn><eissn>2227-9032</eissn><abstract>This study analyzed the influence of sedentary behavior (SB) on the association between dietary patterns and adiposity in community-dwelling adults. Eight hundred and forty-three adults (age: 56.5 ± 18.3 years) participated in this cross-sectional epidemiological study. Dietary patterns were evaluated using self-report questions regarding the weekly frequency of consumption of certain foods. Adiposity was determined using anthropometric measurements of weight, waist circumference, and height. SB was evaluated according to the time spent on screen devices. The usual physical activity level and socioeconomic status were considered confounding factors. Associations were determined using multivariate linear models with simultaneous adjustments for confounding variables. A statistical analysis indicated that fruit consumption was negatively related to the body mass index, regardless of the adjustment for SB domains. Red meat consumption was positively related to the body mass index, and fried food consumption was positively related to the waist-to-height ratio, regardless of the adjustment for SB domains. The consumption of fried food was positively associated with global and central adiposity after the adjustments for confounding factors and time spent on screen devices. We concluded that dietary habits are related to adiposity in adults. However, SB domains seem to influence the relationship between body adiposity and dietary habits, mainly regarding the consumption of fried foods.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>37107990</pmid><doi>10.3390/healthcare11081157</doi><orcidid>https://orcid.org/0000-0003-1141-245X</orcidid><orcidid>https://orcid.org/0000-0002-4640-7733</orcidid><orcidid>https://orcid.org/0000-0002-6192-4667</orcidid><orcidid>https://orcid.org/0000-0002-0902-0433</orcidid><orcidid>https://orcid.org/0000-0003-3177-6576</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2227-9032 |
ispartof | Healthcare (Basel), 2023-04, Vol.11 (8), p.1157 |
issn | 2227-9032 2227-9032 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10138045 |
source | Publicly Available Content (ProQuest); PubMed Central; Coronavirus Research Database |
subjects | Adipose tissues Body mass index Confounding (Statistics) Dairy products Data collection Diet Health aspects Influence Measurement Meat Mortality Obesity Overweight Questionnaires Sedentary behavior Socioeconomic factors Soft drinks |
title | Association between Diet and Adiposity in Adults: Influence of Sedentary Behavior Patterns |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T02%3A24%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Association%20between%20Diet%20and%20Adiposity%20in%20Adults:%20Influence%20of%20Sedentary%20Behavior%20Patterns&rft.jtitle=Healthcare%20(Basel)&rft.au=Beretta,%20Victor%20Spiandor&rft.date=2023-04-18&rft.volume=11&rft.issue=8&rft.spage=1157&rft.pages=1157-&rft.issn=2227-9032&rft.eissn=2227-9032&rft_id=info:doi/10.3390/healthcare11081157&rft_dat=%3Cgale_pubme%3EA747445368%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c498t-2006dbd9981f0dd16887dfd0a5e3b95312567a3d818eb2c62af8be0dfd09c193%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2806543133&rft_id=info:pmid/37107990&rft_galeid=A747445368&rfr_iscdi=true |