Overweight modifies the longitudinal association between uric acid and some components of the metabolic syndrome: The Tromsø Study
Elevated uric acid (UA) is associated with the presence of the metabolic syndrome (MetS). In a prospective cohort study, we assessed whether baseline and longitudinal change in UA were risk factors for development of MetS and its individual components. We included 3087 women and 2996 men who had UA...
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| description | Elevated uric acid (UA) is associated with the presence of the metabolic syndrome (MetS). In a prospective cohort study, we assessed whether baseline and longitudinal change in UA were risk factors for development of MetS and its individual components.
We included 3087 women and 2996 men who had UA measured in the population based Tromsø Study 1994-95. The participants were stratified according to body mass index (BMI). Endpoints were MetS and each component of the syndrome after 7 years, according to the revised National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATP III) definition.
Multiple logistic regression analyses showed that higher baseline UA was associated with higher odds of developing elevated blood pressure in overweight subjects (BMI ≥ 25 kg/m(2), odds ratio [OR] per 59 μmol/L UA increase 1.44, 95 % confidence interval [CI] = 1.17-1.77, P = 0.001), but not in normal-weight subjects (BMI < 25 kg/m(2), P for interaction = 0.04). Overweight also modified the association between baseline UA and the development of elevated fasting glucose (P for interaction = 0.01). UA was a predictor of MetS in all subjects (OR per 59 μmol/L UA increase 1.29, 95 % CI 1.18-1.41, P < 0.001). Furthermore, longitudinal UA change was independently associated with the development of MetS in all subjects (OR per 59 μmol/L UA increase over 7 years 1.28, 95 % CI 1.16-1.42, P < 0.001).
Increased levels of baseline UA independently predicted development of elevated blood pressure and higher fasting glycemia in the overweight, but not the normal-weight subjects. Baseline UA and longitudinal increase in UA over 7 years was associated with the development of MetS in all subjects. Whether increased UA should be treated differently in normal-weight and overweight persons needs further study. |
| doi_str_mv | 10.1186/s12872-016-0265-8 |
| format | Article |
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We included 3087 women and 2996 men who had UA measured in the population based Tromsø Study 1994-95. The participants were stratified according to body mass index (BMI). Endpoints were MetS and each component of the syndrome after 7 years, according to the revised National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATP III) definition.
Multiple logistic regression analyses showed that higher baseline UA was associated with higher odds of developing elevated blood pressure in overweight subjects (BMI ≥ 25 kg/m(2), odds ratio [OR] per 59 μmol/L UA increase 1.44, 95 % confidence interval [CI] = 1.17-1.77, P = 0.001), but not in normal-weight subjects (BMI < 25 kg/m(2), P for interaction = 0.04). Overweight also modified the association between baseline UA and the development of elevated fasting glucose (P for interaction = 0.01). UA was a predictor of MetS in all subjects (OR per 59 μmol/L UA increase 1.29, 95 % CI 1.18-1.41, P < 0.001). Furthermore, longitudinal UA change was independently associated with the development of MetS in all subjects (OR per 59 μmol/L UA increase over 7 years 1.28, 95 % CI 1.16-1.42, P < 0.001).
Increased levels of baseline UA independently predicted development of elevated blood pressure and higher fasting glycemia in the overweight, but not the normal-weight subjects. Baseline UA and longitudinal increase in UA over 7 years was associated with the development of MetS in all subjects. Whether increased UA should be treated differently in normal-weight and overweight persons needs further study.</description><identifier>ISSN: 1471-2261</identifier><identifier>EISSN: 1471-2261</identifier><identifier>DOI: 10.1186/s12872-016-0265-8</identifier><identifier>PMID: 27165776</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Aged ; Biomarkers - blood ; Blood Glucose - analysis ; Blood Pressure ; Body Mass Index ; Cardiovascular risk ; Chi-Square Distribution ; Clinical medical disciplines: 750 ; Cohort ; Female ; Humans ; Hyperglycemia - blood ; Hyperglycemia - epidemiology ; Hypertension ; Hypertension - epidemiology ; Hypertension - physiopathology ; Hyperuricemia - blood ; Hyperuricemia - diagnosis ; Hyperuricemia - epidemiology ; Insulin resistance ; Klinisk medisinske fag: 750 ; Linear Models ; Logistic Models ; Longitudinal ; Longitudinal Studies ; Male ; Medical disciplines: 700 ; Medisinske Fag: 700 ; Metabolic syndrome ; Metabolic Syndrome - blood ; Metabolic Syndrome - diagnosis ; Metabolic Syndrome - epidemiology ; Metabolic Syndrome - physiopathology ; Middle Aged ; Multivariate Analysis ; Norway - epidemiology ; Obesity ; Obesity - diagnosis ; Obesity - epidemiology ; Obesity - physiopathology ; Odds Ratio ; Overweight ; Prospective ; Prospective Studies ; Risk Assessment ; Risk Factors ; Time Factors ; Up-Regulation ; Uric acid ; Uric Acid - blood ; VDP</subject><ispartof>BMC cardiovascular disorders, 2016-05, Vol.16 (1), p.85-85, Article 85</ispartof><rights>Copyright BioMed Central 2016</rights><rights>info:eu-repo/semantics/openAccess</rights><rights>Norvik et al. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-8f9223f55bfcd93c42adf2ab38d792018bea9150bc4d20bd840b06202af7f1563</citedby><cites>FETCH-LOGICAL-c451t-8f9223f55bfcd93c42adf2ab38d792018bea9150bc4d20bd840b06202af7f1563</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4862215/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4862215/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,26567,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27165776$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Norvik, Jon V</creatorcontrib><creatorcontrib>Storhaug, Hilde M</creatorcontrib><creatorcontrib>Ytrehus, Kirsti</creatorcontrib><creatorcontrib>Jenssen, Trond G</creatorcontrib><creatorcontrib>Zykova, Svetlana N</creatorcontrib><creatorcontrib>Eriksen, Bjørn O</creatorcontrib><creatorcontrib>Solbu, Marit D</creatorcontrib><title>Overweight modifies the longitudinal association between uric acid and some components of the metabolic syndrome: The Tromsø Study</title><title>BMC cardiovascular disorders</title><addtitle>BMC Cardiovasc Disord</addtitle><description>Elevated uric acid (UA) is associated with the presence of the metabolic syndrome (MetS). In a prospective cohort study, we assessed whether baseline and longitudinal change in UA were risk factors for development of MetS and its individual components.
We included 3087 women and 2996 men who had UA measured in the population based Tromsø Study 1994-95. The participants were stratified according to body mass index (BMI). Endpoints were MetS and each component of the syndrome after 7 years, according to the revised National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATP III) definition.
Multiple logistic regression analyses showed that higher baseline UA was associated with higher odds of developing elevated blood pressure in overweight subjects (BMI ≥ 25 kg/m(2), odds ratio [OR] per 59 μmol/L UA increase 1.44, 95 % confidence interval [CI] = 1.17-1.77, P = 0.001), but not in normal-weight subjects (BMI < 25 kg/m(2), P for interaction = 0.04). Overweight also modified the association between baseline UA and the development of elevated fasting glucose (P for interaction = 0.01). UA was a predictor of MetS in all subjects (OR per 59 μmol/L UA increase 1.29, 95 % CI 1.18-1.41, P < 0.001). Furthermore, longitudinal UA change was independently associated with the development of MetS in all subjects (OR per 59 μmol/L UA increase over 7 years 1.28, 95 % CI 1.16-1.42, P < 0.001).
Increased levels of baseline UA independently predicted development of elevated blood pressure and higher fasting glycemia in the overweight, but not the normal-weight subjects. Baseline UA and longitudinal increase in UA over 7 years was associated with the development of MetS in all subjects. Whether increased UA should be treated differently in normal-weight and overweight persons needs further study.</description><subject>Aged</subject><subject>Biomarkers - blood</subject><subject>Blood Glucose - analysis</subject><subject>Blood Pressure</subject><subject>Body Mass Index</subject><subject>Cardiovascular risk</subject><subject>Chi-Square Distribution</subject><subject>Clinical medical disciplines: 750</subject><subject>Cohort</subject><subject>Female</subject><subject>Humans</subject><subject>Hyperglycemia - blood</subject><subject>Hyperglycemia - epidemiology</subject><subject>Hypertension</subject><subject>Hypertension - epidemiology</subject><subject>Hypertension - physiopathology</subject><subject>Hyperuricemia - blood</subject><subject>Hyperuricemia - diagnosis</subject><subject>Hyperuricemia - epidemiology</subject><subject>Insulin resistance</subject><subject>Klinisk medisinske fag: 750</subject><subject>Linear Models</subject><subject>Logistic Models</subject><subject>Longitudinal</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical disciplines: 700</subject><subject>Medisinske Fag: 700</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - blood</subject><subject>Metabolic Syndrome - diagnosis</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Metabolic Syndrome - physiopathology</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Norway - epidemiology</subject><subject>Obesity</subject><subject>Obesity - diagnosis</subject><subject>Obesity - epidemiology</subject><subject>Obesity - physiopathology</subject><subject>Odds Ratio</subject><subject>Overweight</subject><subject>Prospective</subject><subject>Prospective Studies</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Time Factors</subject><subject>Up-Regulation</subject><subject>Uric acid</subject><subject>Uric Acid - blood</subject><subject>VDP</subject><issn>1471-2261</issn><issn>1471-2261</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</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><sourceid>3HK</sourceid><recordid>eNpdksluFDEQhlsIRBZ4AC5giQuXBpe7vTQHJBSxSZFyYDhbbi8zjrrtwXYnmjMvxZ0Xi4dJosDFLrk-_1V2_U3zAvBbAMHeZSCCkxYDazFhtBWPmmPoObSEMHj8ID5qTnK-xBi4wMPT5ohwYJRzdtz8uriy6dr69aagORrvvM2obCyaYlj7shgf1IRUzlF7VXwMaLTl2tqAluQ1UtobpIJBOc4W6ThvY7ChZBTdX5XZFjXGqZJ5F0yq0Hu0querGuY_v9H3WmH3rHni1JTt89v9tPnx-dPq7Gt7fvHl29nH81b3FEor3EBI5ygdnTZDp3uijCNq7IThA8EgRqsGoHjUvSF4NKLHI2YEE-W4A8q60-bDQXe7jLM1ujaa1CS3yc8q7WRUXv6bCX4j1_FK9oIRArQKvDoI6ORz8UGGmJQEjDte174nlXhzWyLFn4vNRc4-aztNKti4ZFkHIGjHYeAVff0fehmXVH97T9U8ZpjsKbgrGXNO1t23C1juTSAPJpDVBHJvAinqnZcP33l_427q3Q3oz69y</recordid><startdate>20160510</startdate><enddate>20160510</enddate><creator>Norvik, Jon V</creator><creator>Storhaug, Hilde M</creator><creator>Ytrehus, Kirsti</creator><creator>Jenssen, Trond G</creator><creator>Zykova, Svetlana N</creator><creator>Eriksen, Bjørn O</creator><creator>Solbu, Marit D</creator><general>BioMed Central</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>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>3HK</scope><scope>5PM</scope></search><sort><creationdate>20160510</creationdate><title>Overweight modifies the longitudinal association between uric acid and some components of the metabolic syndrome: The Tromsø Study</title><author>Norvik, Jon V ; Storhaug, Hilde M ; Ytrehus, Kirsti ; Jenssen, Trond G ; Zykova, Svetlana N ; Eriksen, Bjørn O ; Solbu, Marit D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-8f9223f55bfcd93c42adf2ab38d792018bea9150bc4d20bd840b06202af7f1563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Biomarkers - blood</topic><topic>Blood Glucose - analysis</topic><topic>Blood Pressure</topic><topic>Body Mass Index</topic><topic>Cardiovascular risk</topic><topic>Chi-Square Distribution</topic><topic>Clinical medical disciplines: 750</topic><topic>Cohort</topic><topic>Female</topic><topic>Humans</topic><topic>Hyperglycemia - blood</topic><topic>Hyperglycemia - epidemiology</topic><topic>Hypertension</topic><topic>Hypertension - epidemiology</topic><topic>Hypertension - physiopathology</topic><topic>Hyperuricemia - blood</topic><topic>Hyperuricemia - diagnosis</topic><topic>Hyperuricemia - epidemiology</topic><topic>Insulin resistance</topic><topic>Klinisk medisinske fag: 750</topic><topic>Linear Models</topic><topic>Logistic Models</topic><topic>Longitudinal</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical disciplines: 700</topic><topic>Medisinske Fag: 700</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - blood</topic><topic>Metabolic Syndrome - diagnosis</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic Syndrome - physiopathology</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Norway - epidemiology</topic><topic>Obesity</topic><topic>Obesity - diagnosis</topic><topic>Obesity - epidemiology</topic><topic>Obesity - physiopathology</topic><topic>Odds Ratio</topic><topic>Overweight</topic><topic>Prospective</topic><topic>Prospective Studies</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Time Factors</topic><topic>Up-Regulation</topic><topic>Uric acid</topic><topic>Uric Acid - blood</topic><topic>VDP</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Norvik, Jon V</creatorcontrib><creatorcontrib>Storhaug, Hilde M</creatorcontrib><creatorcontrib>Ytrehus, Kirsti</creatorcontrib><creatorcontrib>Jenssen, Trond G</creatorcontrib><creatorcontrib>Zykova, Svetlana N</creatorcontrib><creatorcontrib>Eriksen, Bjørn O</creatorcontrib><creatorcontrib>Solbu, Marit D</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>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>Access via ProQuest (Open Access)</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>NORA - Norwegian Open Research Archives</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC cardiovascular disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Norvik, Jon V</au><au>Storhaug, Hilde M</au><au>Ytrehus, Kirsti</au><au>Jenssen, Trond G</au><au>Zykova, Svetlana N</au><au>Eriksen, Bjørn O</au><au>Solbu, Marit D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Overweight modifies the longitudinal association between uric acid and some components of the metabolic syndrome: The Tromsø Study</atitle><jtitle>BMC cardiovascular disorders</jtitle><addtitle>BMC Cardiovasc Disord</addtitle><date>2016-05-10</date><risdate>2016</risdate><volume>16</volume><issue>1</issue><spage>85</spage><epage>85</epage><pages>85-85</pages><artnum>85</artnum><issn>1471-2261</issn><eissn>1471-2261</eissn><abstract>Elevated uric acid (UA) is associated with the presence of the metabolic syndrome (MetS). In a prospective cohort study, we assessed whether baseline and longitudinal change in UA were risk factors for development of MetS and its individual components.
We included 3087 women and 2996 men who had UA measured in the population based Tromsø Study 1994-95. The participants were stratified according to body mass index (BMI). Endpoints were MetS and each component of the syndrome after 7 years, according to the revised National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATP III) definition.
Multiple logistic regression analyses showed that higher baseline UA was associated with higher odds of developing elevated blood pressure in overweight subjects (BMI ≥ 25 kg/m(2), odds ratio [OR] per 59 μmol/L UA increase 1.44, 95 % confidence interval [CI] = 1.17-1.77, P = 0.001), but not in normal-weight subjects (BMI < 25 kg/m(2), P for interaction = 0.04). Overweight also modified the association between baseline UA and the development of elevated fasting glucose (P for interaction = 0.01). UA was a predictor of MetS in all subjects (OR per 59 μmol/L UA increase 1.29, 95 % CI 1.18-1.41, P < 0.001). Furthermore, longitudinal UA change was independently associated with the development of MetS in all subjects (OR per 59 μmol/L UA increase over 7 years 1.28, 95 % CI 1.16-1.42, P < 0.001).
Increased levels of baseline UA independently predicted development of elevated blood pressure and higher fasting glycemia in the overweight, but not the normal-weight subjects. Baseline UA and longitudinal increase in UA over 7 years was associated with the development of MetS in all subjects. Whether increased UA should be treated differently in normal-weight and overweight persons needs further study.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>27165776</pmid><doi>10.1186/s12872-016-0265-8</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Biomarkers - blood Blood Glucose - analysis Blood Pressure Body Mass Index Cardiovascular risk Chi-Square Distribution Clinical medical disciplines: 750 Cohort Female Humans Hyperglycemia - blood Hyperglycemia - epidemiology Hypertension Hypertension - epidemiology Hypertension - physiopathology Hyperuricemia - blood Hyperuricemia - diagnosis Hyperuricemia - epidemiology Insulin resistance Klinisk medisinske fag: 750 Linear Models Logistic Models Longitudinal Longitudinal Studies Male Medical disciplines: 700 Medisinske Fag: 700 Metabolic syndrome Metabolic Syndrome - blood Metabolic Syndrome - diagnosis Metabolic Syndrome - epidemiology Metabolic Syndrome - physiopathology Middle Aged Multivariate Analysis Norway - epidemiology Obesity Obesity - diagnosis Obesity - epidemiology Obesity - physiopathology Odds Ratio Overweight Prospective Prospective Studies Risk Assessment Risk Factors Time Factors Up-Regulation Uric acid Uric Acid - blood VDP |
| title | Overweight modifies the longitudinal association between uric acid and some components of the metabolic syndrome: The Tromsø Study |
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