Association of sugar-sweetened beverage intake with risk of metabolic syndrome among children and adolescents in urban China
High sugar-sweetened beverage (SSB) intake has been shown to correlate with a higher risk for CVD and metabolic disorders, while the association between SSB intake and the risk of metabolic syndrome (MetS) remains unclear. The present study aimed to explore the association between SSB intake and Met...
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| Veröffentlicht in: | Public health nutrition 2020-10, Vol.23 (15), p.2770-2780 |
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| creator | Li, Shuyi Cao, Muqing Yang, Chen Zheng, Hao Zhu, Yanna |
| description | High sugar-sweetened beverage (SSB) intake has been shown to correlate with a higher risk for CVD and metabolic disorders, while the association between SSB intake and the risk of metabolic syndrome (MetS) remains unclear. The present study aimed to explore the association between SSB intake and MetS among children and adolescents in urban China.
A cross-sectional study involving 7143 children and adolescents was conducted in urban China. MetS definition proposed by the International Diabetes Federation was adopted. Data on SSB intake, diet, physical activity and family environment factors were obtained through questionnaires. Logistic regression models with multivariable adjustment were adopted to analyse the association between SSB intake and the risk of MetS and its components.
Primary and secondary schools in three urban cities of China.
Children and adolescents (n 5258) aged 7-18 years.
Among the participants, 29·9 % of them had high SSB intake (at least 0·3 servings/d) and the overall MetS prevalence was 2·7 %. Participants with high SSB intake were at higher risk for MetS (OR = 1·60; 95 % CI 1·03, 2·54) and abdominal obesity (OR = 1·55; 95 % CI 1·28, 1·83) compared with their counterparts with no SSB intake (0 servings/d).
High SSB intake is significantly associated with increased MetS and abdominal obesity risk among children and adolescents in urban China. These results suggest that strong policies focusing on controlling SSB intake might be effective in preventing MetS and abdominal obesity. |
| doi_str_mv | 10.1017/S1368980019003653 |
| format | Article |
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A cross-sectional study involving 7143 children and adolescents was conducted in urban China. MetS definition proposed by the International Diabetes Federation was adopted. Data on SSB intake, diet, physical activity and family environment factors were obtained through questionnaires. Logistic regression models with multivariable adjustment were adopted to analyse the association between SSB intake and the risk of MetS and its components.
Primary and secondary schools in three urban cities of China.
Children and adolescents (n 5258) aged 7-18 years.
Among the participants, 29·9 % of them had high SSB intake (at least 0·3 servings/d) and the overall MetS prevalence was 2·7 %. Participants with high SSB intake were at higher risk for MetS (OR = 1·60; 95 % CI 1·03, 2·54) and abdominal obesity (OR = 1·55; 95 % CI 1·28, 1·83) compared with their counterparts with no SSB intake (0 servings/d).
High SSB intake is significantly associated with increased MetS and abdominal obesity risk among children and adolescents in urban China. These results suggest that strong policies focusing on controlling SSB intake might be effective in preventing MetS and abdominal obesity.</description><identifier>ISSN: 1368-9800</identifier><identifier>EISSN: 1475-2727</identifier><identifier>DOI: 10.1017/S1368980019003653</identifier><identifier>PMID: 31915093</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adolescent ; Adolescents ; Beverages ; Blood pressure ; Caregivers ; Child ; Children ; China - epidemiology ; Cross-Sectional Studies ; Dairy products ; Diabetes ; Diabetes mellitus ; Food ; Fruits ; Humans ; Lifestyles ; Metabolic disorders ; Metabolic syndrome ; Metabolic Syndrome - epidemiology ; Nutritional Epidemiology ; Obesity ; Obesity, Abdominal - epidemiology ; Physical activity ; Public health ; Questionnaires ; Regression analysis ; Regression models ; Research Paper ; Researchers ; Risk ; Sample size ; Schools ; Students ; Sugar ; Sugar-Sweetened Beverages ; Teenagers ; Urban Population ; Validity</subject><ispartof>Public health nutrition, 2020-10, Vol.23 (15), p.2770-2780</ispartof><rights>The Authors 2020</rights><rights>The Authors 2020 2020 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c472t-7c6b82f0a558e7c2208673531bc5a2c2fbab360d8eac194ca03df78d580148373</citedby><cites>FETCH-LOGICAL-c472t-7c6b82f0a558e7c2208673531bc5a2c2fbab360d8eac194ca03df78d580148373</cites><orcidid>0000-0003-4160-3695</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/PMC10200451/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200451/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31915093$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Shuyi</creatorcontrib><creatorcontrib>Cao, Muqing</creatorcontrib><creatorcontrib>Yang, Chen</creatorcontrib><creatorcontrib>Zheng, Hao</creatorcontrib><creatorcontrib>Zhu, Yanna</creatorcontrib><title>Association of sugar-sweetened beverage intake with risk of metabolic syndrome among children and adolescents in urban China</title><title>Public health nutrition</title><addtitle>Public Health Nutr</addtitle><description>High sugar-sweetened beverage (SSB) intake has been shown to correlate with a higher risk for CVD and metabolic disorders, while the association between SSB intake and the risk of metabolic syndrome (MetS) remains unclear. The present study aimed to explore the association between SSB intake and MetS among children and adolescents in urban China.
A cross-sectional study involving 7143 children and adolescents was conducted in urban China. MetS definition proposed by the International Diabetes Federation was adopted. Data on SSB intake, diet, physical activity and family environment factors were obtained through questionnaires. Logistic regression models with multivariable adjustment were adopted to analyse the association between SSB intake and the risk of MetS and its components.
Primary and secondary schools in three urban cities of China.
Children and adolescents (n 5258) aged 7-18 years.
Among the participants, 29·9 % of them had high SSB intake (at least 0·3 servings/d) and the overall MetS prevalence was 2·7 %. Participants with high SSB intake were at higher risk for MetS (OR = 1·60; 95 % CI 1·03, 2·54) and abdominal obesity (OR = 1·55; 95 % CI 1·28, 1·83) compared with their counterparts with no SSB intake (0 servings/d).
High SSB intake is significantly associated with increased MetS and abdominal obesity risk among children and adolescents in urban China. These results suggest that strong policies focusing on controlling SSB intake might be effective in preventing MetS and abdominal obesity.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Beverages</subject><subject>Blood pressure</subject><subject>Caregivers</subject><subject>Child</subject><subject>Children</subject><subject>China - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Dairy products</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Food</subject><subject>Fruits</subject><subject>Humans</subject><subject>Lifestyles</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Nutritional Epidemiology</subject><subject>Obesity</subject><subject>Obesity, Abdominal - epidemiology</subject><subject>Physical activity</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Research Paper</subject><subject>Researchers</subject><subject>Risk</subject><subject>Sample size</subject><subject>Schools</subject><subject>Students</subject><subject>Sugar</subject><subject>Sugar-Sweetened Beverages</subject><subject>Teenagers</subject><subject>Urban Population</subject><subject>Validity</subject><issn>1368-9800</issn><issn>1475-2727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kUtv1TAQhSMEoqXwA9ggS2zYBMZ2HCcrVF2Vh1SJBbC2JvYk121iFztpVYkfT6JeykusPNL55niOTlE85_CaA9dvPnNZN20DwFsAWSv5oDjmlVal0EI_XOdVLjf9qHiS8wUAKK314-JI8pYraOVx8f0052g9zj4GFnuWlwFTmW-IZgrkWEfXlHAg5sOMl8Ru_LxnyefLDZ5oxi6O3rJ8G1yKEzGcYhiY3fvRJQoMg2Po4kjZUpjz6sKW1GFgu70P-LR41OOY6dnhPSm-vjv7svtQnn96_3F3el7aSou51LbuGtEDKtWQtkJAU2upJO-sQmFF32Ena3ANoeVtZRGk63XjVAO8aqSWJ8XbO9-rpZvIbackHM1V8hOmWxPRmz-V4PdmiNeGgwCoFF8dXh0cUvy2UJ7N5NdI44iB4pKNkFJxzSvY0Jd_oRdxSWHNZ0QlW8VrUcFK8TvKpphzov7-Gg5mK9f8U-668-L3GPcbP9tcAXkwxalL3g306-__2_4A0eWwbA</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Li, Shuyi</creator><creator>Cao, Muqing</creator><creator>Yang, Chen</creator><creator>Zheng, Hao</creator><creator>Zhu, Yanna</creator><general>Cambridge University Press</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>7QP</scope><scope>7RQ</scope><scope>7RV</scope><scope>7T2</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4160-3695</orcidid></search><sort><creationdate>20201001</creationdate><title>Association of sugar-sweetened beverage intake with risk of metabolic syndrome among children and adolescents in urban China</title><author>Li, Shuyi ; Cao, Muqing ; Yang, Chen ; Zheng, Hao ; Zhu, Yanna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c472t-7c6b82f0a558e7c2208673531bc5a2c2fbab360d8eac194ca03df78d580148373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Beverages</topic><topic>Blood pressure</topic><topic>Caregivers</topic><topic>Child</topic><topic>Children</topic><topic>China - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Dairy products</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Food</topic><topic>Fruits</topic><topic>Humans</topic><topic>Lifestyles</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Nutritional Epidemiology</topic><topic>Obesity</topic><topic>Obesity, Abdominal - epidemiology</topic><topic>Physical activity</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Research Paper</topic><topic>Researchers</topic><topic>Risk</topic><topic>Sample size</topic><topic>Schools</topic><topic>Students</topic><topic>Sugar</topic><topic>Sugar-Sweetened Beverages</topic><topic>Teenagers</topic><topic>Urban Population</topic><topic>Validity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Shuyi</creatorcontrib><creatorcontrib>Cao, Muqing</creatorcontrib><creatorcontrib>Yang, Chen</creatorcontrib><creatorcontrib>Zheng, Hao</creatorcontrib><creatorcontrib>Zhu, Yanna</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>Calcium & Calcified Tissue Abstracts</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental 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>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Public health nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Shuyi</au><au>Cao, Muqing</au><au>Yang, Chen</au><au>Zheng, Hao</au><au>Zhu, Yanna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of sugar-sweetened beverage intake with risk of metabolic syndrome among children and adolescents in urban China</atitle><jtitle>Public health nutrition</jtitle><addtitle>Public Health Nutr</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>23</volume><issue>15</issue><spage>2770</spage><epage>2780</epage><pages>2770-2780</pages><issn>1368-9800</issn><eissn>1475-2727</eissn><abstract>High sugar-sweetened beverage (SSB) intake has been shown to correlate with a higher risk for CVD and metabolic disorders, while the association between SSB intake and the risk of metabolic syndrome (MetS) remains unclear. The present study aimed to explore the association between SSB intake and MetS among children and adolescents in urban China.
A cross-sectional study involving 7143 children and adolescents was conducted in urban China. MetS definition proposed by the International Diabetes Federation was adopted. Data on SSB intake, diet, physical activity and family environment factors were obtained through questionnaires. Logistic regression models with multivariable adjustment were adopted to analyse the association between SSB intake and the risk of MetS and its components.
Primary and secondary schools in three urban cities of China.
Children and adolescents (n 5258) aged 7-18 years.
Among the participants, 29·9 % of them had high SSB intake (at least 0·3 servings/d) and the overall MetS prevalence was 2·7 %. Participants with high SSB intake were at higher risk for MetS (OR = 1·60; 95 % CI 1·03, 2·54) and abdominal obesity (OR = 1·55; 95 % CI 1·28, 1·83) compared with their counterparts with no SSB intake (0 servings/d).
High SSB intake is significantly associated with increased MetS and abdominal obesity risk among children and adolescents in urban China. These results suggest that strong policies focusing on controlling SSB intake might be effective in preventing MetS and abdominal obesity.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>31915093</pmid><doi>10.1017/S1368980019003653</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-4160-3695</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adolescents Beverages Blood pressure Caregivers Child Children China - epidemiology Cross-Sectional Studies Dairy products Diabetes Diabetes mellitus Food Fruits Humans Lifestyles Metabolic disorders Metabolic syndrome Metabolic Syndrome - epidemiology Nutritional Epidemiology Obesity Obesity, Abdominal - epidemiology Physical activity Public health Questionnaires Regression analysis Regression models Research Paper Researchers Risk Sample size Schools Students Sugar Sugar-Sweetened Beverages Teenagers Urban Population Validity |
| title | Association of sugar-sweetened beverage intake with risk of metabolic syndrome among children and adolescents in urban China |
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