Association of Dietary Patterns, C -Reactive Protein, and Risk of Obesity Among Children Aged 9-17 Years in Guangzhou, China: A Cross-Sectional Mediation Study
Childhood obesity is a major public health challenge in the 21st century, and diet is one of the key modifiable factors in its prevention. This study examined the link between dietary patterns of children and general and central obesity, including the role of -reactive protein (CRP). This study enro...
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description | Childhood obesity is a major public health challenge in the 21st century, and diet is one of the key modifiable factors in its prevention. This study examined the link between dietary patterns of children and general and central obesity, including the role of
-reactive protein (CRP).
This study enrolled 2413 children aged 9-17. Anthropometric measurements, CRP levels, and dietary data were collected. Factor analysis identified dietary patterns, and logistic regression examined the association between CRP levels and childhood obesity. Multiple linear regression determined the correlation between dietary patterns and CRP. Mediation analysis assessed the role of CRP in the link between dietary patterns and childhood obesity.
Three dietary patterns were identified. The rice and meat pattern was significantly correlated to the risk of childhood obesity (OR = 1.166, 95%CI: 1.000, 1.359 for general obesity; OR = 1.215, 95%CI: 1.071, 1.377 for central obesity). CRP was positively correlated with childhood obesity risk (OR = 2.301, 95%CI: 1.776, 2.982 for general obesity; OR = 2.165, 95%CI: 1.738, 2.697 for central obesity). The fruit and vegetable pattern was inversely related to CRP (β= -0.059, 95%CI: -0.081, -0.036), while the snack pattern was positively correlated (β= 0.043, 95%CI: 0.020, 0.065). CRP had a suppressive effect on the association between the fruit and vegetable pattern and snack pattern with childhood obesity.
This study revealed the rice and meat pattern as a risk factor for childhood obesity, and cross-sectional evidence linked the fruit and vegetable pattern and snack pattern to childhood obesity risk, mediated by CRP. |
doi_str_mv | 10.3390/nu16223835 |
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-reactive protein (CRP).
This study enrolled 2413 children aged 9-17. Anthropometric measurements, CRP levels, and dietary data were collected. Factor analysis identified dietary patterns, and logistic regression examined the association between CRP levels and childhood obesity. Multiple linear regression determined the correlation between dietary patterns and CRP. Mediation analysis assessed the role of CRP in the link between dietary patterns and childhood obesity.
Three dietary patterns were identified. The rice and meat pattern was significantly correlated to the risk of childhood obesity (OR = 1.166, 95%CI: 1.000, 1.359 for general obesity; OR = 1.215, 95%CI: 1.071, 1.377 for central obesity). CRP was positively correlated with childhood obesity risk (OR = 2.301, 95%CI: 1.776, 2.982 for general obesity; OR = 2.165, 95%CI: 1.738, 2.697 for central obesity). The fruit and vegetable pattern was inversely related to CRP (β= -0.059, 95%CI: -0.081, -0.036), while the snack pattern was positively correlated (β= 0.043, 95%CI: 0.020, 0.065). CRP had a suppressive effect on the association between the fruit and vegetable pattern and snack pattern with childhood obesity.
This study revealed the rice and meat pattern as a risk factor for childhood obesity, and cross-sectional evidence linked the fruit and vegetable pattern and snack pattern to childhood obesity risk, mediated by CRP.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu16223835</identifier><identifier>PMID: 39599620</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adolescent ; Body mass index ; C-reactive protein ; C-Reactive Protein - analysis ; C-Reactive Protein - metabolism ; Cardiovascular disease ; Child ; Children ; Children & youth ; China - epidemiology ; Cross-Sectional Studies ; Diabetes ; Diet ; Dietary guidelines ; Dietary Patterns ; Exercise ; Feeding Behavior ; Female ; Food ; Food habits ; Fruit ; Gender ; Health aspects ; Humans ; Hypertension ; Male ; Mediation ; Mediation Analysis ; Middle schools ; Nutrition research ; Obesity ; Obesity in children ; Pediatric Obesity - blood ; Pediatric Obesity - epidemiology ; Questionnaires ; Risk Factors ; Screen time ; Secondary school students ; Secondary schools ; Systematic review ; Type 2 diabetes ; Vegetables ; Weight control</subject><ispartof>Nutrients, 2024-11, Vol.16 (22), p.3835</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 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>2024 by the authors. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c363t-f0fc350b23d3d1860b1ebdd7a44b1c7266dfc6672e045352ab16f0a8eaa992653</cites><orcidid>0009-0003-4004-1990 ; 0000-0003-4851-4660</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11597664/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11597664/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39599620$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Su, Zheng</creatorcontrib><creatorcontrib>Zeng, Chunzi</creatorcontrib><creatorcontrib>Huang, Jie</creatorcontrib><creatorcontrib>Luo, Shiyun</creatorcontrib><creatorcontrib>Guo, Jiaying</creatorcontrib><creatorcontrib>Fu, Jinhan</creatorcontrib><creatorcontrib>Zhang, Weiwei</creatorcontrib><creatorcontrib>Zhang, Zhoubin</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><title>Association of Dietary Patterns, C -Reactive Protein, and Risk of Obesity Among Children Aged 9-17 Years in Guangzhou, China: A Cross-Sectional Mediation Study</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>Childhood obesity is a major public health challenge in the 21st century, and diet is one of the key modifiable factors in its prevention. This study examined the link between dietary patterns of children and general and central obesity, including the role of
-reactive protein (CRP).
This study enrolled 2413 children aged 9-17. Anthropometric measurements, CRP levels, and dietary data were collected. Factor analysis identified dietary patterns, and logistic regression examined the association between CRP levels and childhood obesity. Multiple linear regression determined the correlation between dietary patterns and CRP. Mediation analysis assessed the role of CRP in the link between dietary patterns and childhood obesity.
Three dietary patterns were identified. The rice and meat pattern was significantly correlated to the risk of childhood obesity (OR = 1.166, 95%CI: 1.000, 1.359 for general obesity; OR = 1.215, 95%CI: 1.071, 1.377 for central obesity). CRP was positively correlated with childhood obesity risk (OR = 2.301, 95%CI: 1.776, 2.982 for general obesity; OR = 2.165, 95%CI: 1.738, 2.697 for central obesity). The fruit and vegetable pattern was inversely related to CRP (β= -0.059, 95%CI: -0.081, -0.036), while the snack pattern was positively correlated (β= 0.043, 95%CI: 0.020, 0.065). CRP had a suppressive effect on the association between the fruit and vegetable pattern and snack pattern with childhood obesity.
This study revealed the rice and meat pattern as a risk factor for childhood obesity, and cross-sectional evidence linked the fruit and vegetable pattern and snack pattern to childhood obesity risk, mediated by CRP.</description><subject>Adolescent</subject><subject>Body mass index</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - analysis</subject><subject>C-Reactive Protein - metabolism</subject><subject>Cardiovascular disease</subject><subject>Child</subject><subject>Children</subject><subject>Children & youth</subject><subject>China - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diet</subject><subject>Dietary guidelines</subject><subject>Dietary Patterns</subject><subject>Exercise</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Food</subject><subject>Food habits</subject><subject>Fruit</subject><subject>Gender</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Male</subject><subject>Mediation</subject><subject>Mediation Analysis</subject><subject>Middle schools</subject><subject>Nutrition research</subject><subject>Obesity</subject><subject>Obesity in children</subject><subject>Pediatric Obesity - blood</subject><subject>Pediatric Obesity - epidemiology</subject><subject>Questionnaires</subject><subject>Risk Factors</subject><subject>Screen time</subject><subject>Secondary school students</subject><subject>Secondary schools</subject><subject>Systematic review</subject><subject>Type 2 diabetes</subject><subject>Vegetables</subject><subject>Weight control</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkstu1DAUhiMEotXQDQ-ALLFBaFJ8SZyYTRUNUJCKWrWwYGU59smMS8YutlNp-jJ9VRLNMLQIe-Ej-zu33yfLXhJ8zJjA79xAOKWsZuWT7JDiiuacF-zpA_sgO4rxGk-rwhVnz7MDJkohOMWH2X0To9dWJesd8h36YCGpsEEXKiUILs7RAuWXoHSyt4Augk9g3RwpZ9CljT8nl_MWok0b1Ky9W6LFyvYmgEPNEgwSOanQD1AhIuvQ6aDc8m7lh_mEOfUeNWgRfIz5FeipAtWjr2B21VylwWxeZM861Uc42p2z7Punj98Wn_Oz89Mvi-Ys14yzlHe406zELWWGGVJz3BJojalUUbREV5Rz02nOKwq4KFlJVUt4h1UNSglBeclm2ck27s3QrsFocCmoXt4Eux7lkF5Z-fjF2ZVc-ltJSCmqSeZZ9mYXIfhfA8Qk1zZq6HvlwA9RMsJYUQqKp2Sv_0Gv_RDG7rcUEaQYP3RPLVUP0rrOj4n1FFQ2NakLXpFajNTxf6hxG1hb7R10drx_5PB266An5QN0-yYJltNIyb8jNcKvHsqyR_8MEPsNbd_Emw</recordid><startdate>20241108</startdate><enddate>20241108</enddate><creator>Su, Zheng</creator><creator>Zeng, Chunzi</creator><creator>Huang, Jie</creator><creator>Luo, Shiyun</creator><creator>Guo, Jiaying</creator><creator>Fu, Jinhan</creator><creator>Zhang, Weiwei</creator><creator>Zhang, Zhoubin</creator><creator>Zhang, Bo</creator><creator>Li, Yan</creator><general>MDPI AG</general><general>MDPI</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>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0003-4004-1990</orcidid><orcidid>https://orcid.org/0000-0003-4851-4660</orcidid></search><sort><creationdate>20241108</creationdate><title>Association of Dietary Patterns, C -Reactive Protein, and Risk of Obesity Among Children Aged 9-17 Years in Guangzhou, China: A Cross-Sectional Mediation Study</title><author>Su, Zheng ; Zeng, Chunzi ; Huang, Jie ; Luo, Shiyun ; Guo, Jiaying ; Fu, Jinhan ; Zhang, Weiwei ; Zhang, Zhoubin ; Zhang, Bo ; Li, Yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-f0fc350b23d3d1860b1ebdd7a44b1c7266dfc6672e045352ab16f0a8eaa992653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adolescent</topic><topic>Body mass index</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - analysis</topic><topic>C-Reactive Protein - metabolism</topic><topic>Cardiovascular disease</topic><topic>Child</topic><topic>Children</topic><topic>Children & youth</topic><topic>China - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diet</topic><topic>Dietary guidelines</topic><topic>Dietary Patterns</topic><topic>Exercise</topic><topic>Feeding Behavior</topic><topic>Female</topic><topic>Food</topic><topic>Food habits</topic><topic>Fruit</topic><topic>Gender</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Male</topic><topic>Mediation</topic><topic>Mediation Analysis</topic><topic>Middle schools</topic><topic>Nutrition research</topic><topic>Obesity</topic><topic>Obesity in children</topic><topic>Pediatric Obesity - blood</topic><topic>Pediatric Obesity - epidemiology</topic><topic>Questionnaires</topic><topic>Risk Factors</topic><topic>Screen time</topic><topic>Secondary school students</topic><topic>Secondary schools</topic><topic>Systematic review</topic><topic>Type 2 diabetes</topic><topic>Vegetables</topic><topic>Weight control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Su, Zheng</creatorcontrib><creatorcontrib>Zeng, Chunzi</creatorcontrib><creatorcontrib>Huang, Jie</creatorcontrib><creatorcontrib>Luo, Shiyun</creatorcontrib><creatorcontrib>Guo, Jiaying</creatorcontrib><creatorcontrib>Fu, Jinhan</creatorcontrib><creatorcontrib>Zhang, Weiwei</creatorcontrib><creatorcontrib>Zhang, Zhoubin</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Li, Yan</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>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Su, Zheng</au><au>Zeng, Chunzi</au><au>Huang, Jie</au><au>Luo, Shiyun</au><au>Guo, Jiaying</au><au>Fu, Jinhan</au><au>Zhang, Weiwei</au><au>Zhang, Zhoubin</au><au>Zhang, Bo</au><au>Li, Yan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of Dietary Patterns, C -Reactive Protein, and Risk of Obesity Among Children Aged 9-17 Years in Guangzhou, China: A Cross-Sectional Mediation Study</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2024-11-08</date><risdate>2024</risdate><volume>16</volume><issue>22</issue><spage>3835</spage><pages>3835-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>Childhood obesity is a major public health challenge in the 21st century, and diet is one of the key modifiable factors in its prevention. This study examined the link between dietary patterns of children and general and central obesity, including the role of
-reactive protein (CRP).
This study enrolled 2413 children aged 9-17. Anthropometric measurements, CRP levels, and dietary data were collected. Factor analysis identified dietary patterns, and logistic regression examined the association between CRP levels and childhood obesity. Multiple linear regression determined the correlation between dietary patterns and CRP. Mediation analysis assessed the role of CRP in the link between dietary patterns and childhood obesity.
Three dietary patterns were identified. The rice and meat pattern was significantly correlated to the risk of childhood obesity (OR = 1.166, 95%CI: 1.000, 1.359 for general obesity; OR = 1.215, 95%CI: 1.071, 1.377 for central obesity). CRP was positively correlated with childhood obesity risk (OR = 2.301, 95%CI: 1.776, 2.982 for general obesity; OR = 2.165, 95%CI: 1.738, 2.697 for central obesity). The fruit and vegetable pattern was inversely related to CRP (β= -0.059, 95%CI: -0.081, -0.036), while the snack pattern was positively correlated (β= 0.043, 95%CI: 0.020, 0.065). CRP had a suppressive effect on the association between the fruit and vegetable pattern and snack pattern with childhood obesity.
This study revealed the rice and meat pattern as a risk factor for childhood obesity, and cross-sectional evidence linked the fruit and vegetable pattern and snack pattern to childhood obesity risk, mediated by CRP.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39599620</pmid><doi>10.3390/nu16223835</doi><orcidid>https://orcid.org/0009-0003-4004-1990</orcidid><orcidid>https://orcid.org/0000-0003-4851-4660</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Body mass index C-reactive protein C-Reactive Protein - analysis C-Reactive Protein - metabolism Cardiovascular disease Child Children Children & youth China - epidemiology Cross-Sectional Studies Diabetes Diet Dietary guidelines Dietary Patterns Exercise Feeding Behavior Female Food Food habits Fruit Gender Health aspects Humans Hypertension Male Mediation Mediation Analysis Middle schools Nutrition research Obesity Obesity in children Pediatric Obesity - blood Pediatric Obesity - epidemiology Questionnaires Risk Factors Screen time Secondary school students Secondary schools Systematic review Type 2 diabetes Vegetables Weight control |
title | Association of Dietary Patterns, C -Reactive Protein, and Risk of Obesity Among Children Aged 9-17 Years in Guangzhou, China: A Cross-Sectional Mediation Study |
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