Associations between urinary hydration markers and metabolic dysfunction: a cross-sectional analysis of NHANES data, 2008–2010
Purpose Growing evidence suggests hydration plays a role in metabolic dysfunction, however data in humans are scarce. This study examined the cross-sectional association between hydration and metabolic dysfunction in a representative sample of the US population. Methods Data from 3961 adult NHANES (...
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| Veröffentlicht in: | European journal of nutrition 2021-12, Vol.60 (8), p.4229-4241 |
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| creator | Vanhaecke, Tiphaine Dolci, Alberto Fulgoni, Victor L. Lieberman, Harris R. |
| description | Purpose
Growing evidence suggests hydration plays a role in metabolic dysfunction, however data in humans are scarce. This study examined the cross-sectional association between hydration and metabolic dysfunction in a representative sample of the US population.
Methods
Data from 3961 adult NHANES (National Health and Nutrition Examination Survey) participants (49.8% female; age 46.3 ± 0.5 years) were grouped by quartile of urine specific gravity (
U
SG
, 2007–2008 cohort) or urine osmolality (
U
Osm
, 2009–2010 cohort) as measures of hydration. Metabolic dysfunction was assessed by glycemic and insulinemic endpoints and by components of the metabolic syndrome. Multivariate-adjusted linear and logistic regression models were used.
Results
Increasing quartiles of
U
SG
but not
U
Osm
was associated with higher fasting plasma glucose (FPG), glycated hemoglobin (all
P
|
| doi_str_mv | 10.1007/s00394-021-02575-3 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8572195</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2593954628</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-d638c51c693a1661d8c59284a874f094e487deb4ac9a5818c690edacece2c6913</originalsourceid><addsrcrecordid>eNp9kc1u1DAQxy0EoqXwAhyQJS4cCPgzcTggrarSVqrKAThbs_akTcnaxU5a5dZ34A15Ery7Zfk4cLA89vzmb8_8CXnO2RvOWPM2MyZbVTHBy9KNruQDss-VrKtacP1wF7NmjzzJ-YoxJmTNH5M9qUqplGKf3C1yjq6HsY8h0yWOt4iBTqkPkGZ6Ofu0SdEVpK-YMoXg6QpHWMahd9TPuZuCWxPvKFCXYs5Vxs0FDAWGYc59prGj5yeL86NP1MMIr6lgzPy4-y4YZ0_Jow6GjM_u9wPy5cPR58OT6uzj8enh4qxyqlFj5WtpnOaubiXwuua-nFphFJhGdaxVqEzjcanAtaANNwVk6MGhQ1FiLg_I-63u9bRcoXcYxgSDvU59aW22EXr7dyb0l_Yi3lijG8FbXQRe3Quk-G3CPNpVnx0OAwSMU7ZCC2OEVEoV9OU_6FWcUhnGmmplq1UtTKHEltqMLWG3-wxndm2w3Rpsi8F2Y7CVpejFn23sSn45WgC5BXJJhQtMv9_-j-xPkpCymw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2593954628</pqid></control><display><type>article</type><title>Associations between urinary hydration markers and metabolic dysfunction: a cross-sectional analysis of NHANES data, 2008–2010</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Vanhaecke, Tiphaine ; Dolci, Alberto ; Fulgoni, Victor L. ; Lieberman, Harris R.</creator><creatorcontrib>Vanhaecke, Tiphaine ; Dolci, Alberto ; Fulgoni, Victor L. ; Lieberman, Harris R.</creatorcontrib><description>Purpose
Growing evidence suggests hydration plays a role in metabolic dysfunction, however data in humans are scarce. This study examined the cross-sectional association between hydration and metabolic dysfunction in a representative sample of the US population.
Methods
Data from 3961 adult NHANES (National Health and Nutrition Examination Survey) participants (49.8% female; age 46.3 ± 0.5 years) were grouped by quartile of urine specific gravity (
U
SG
, 2007–2008 cohort) or urine osmolality (
U
Osm
, 2009–2010 cohort) as measures of hydration. Metabolic dysfunction was assessed by glycemic and insulinemic endpoints and by components of the metabolic syndrome. Multivariate-adjusted linear and logistic regression models were used.
Results
Increasing quartiles of
U
SG
but not
U
Osm
was associated with higher fasting plasma glucose (FPG), glycated hemoglobin (all
P
< 0.01), HOMA-IR and elevated insulin (all
P
< 0.05). Compared with the lowest quartile, those with the highest
U
SG
but not
U
Osm
had greater risk of metabolic syndrome (Q4 vs. Q1, OR (99% CI): 1.6 (1.0, 2.7),
P
= 0.01) and diabetes (Q4 vs. Q1, OR: 1.8 (1.0, 3.4),
P
< 0.05). Additionally, those with
U
SG
> 1.013 or
U
Osm
> 500 mOsm/kg, common cut-off values for optimal hydration based on retrospective analyses of existing data, had less favorable metabolic markers. In a subset of participants free from diabetes mellitus, impaired kidney function, hypertension and diuretic medication,
U
SG
remained positively associated with FPG (
P
< 0.01) and elevated FPG (
P
< 0.05).
Conclusion
These analyses provide population-based evidence that
U
SG
as a proxy for hydration is associated with glucose homeostasis in NHANES 2007–2008. The same association was not significant when
U
Osm
was used as a proxy for hydration in the 2009–2010 wave.
Clinical trial registry
Not applicable, as this was a reanalysis of existing NHANES data.</description><identifier>ISSN: 1436-6207</identifier><identifier>EISSN: 1436-6215</identifier><identifier>DOI: 10.1007/s00394-021-02575-3</identifier><identifier>PMID: 34003332</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Biomarkers ; Chemistry ; Chemistry and Materials Science ; Cross-Sectional Studies ; Diabetes ; Diabetes mellitus ; Diuretics ; Female ; Hemoglobin ; Homeostasis ; Humans ; Hydration ; Insulin ; Male ; Metabolic syndrome ; Middle Aged ; Nutrition ; Nutrition Surveys ; Original Contribution ; Osmolar Concentration ; Regression analysis ; Retrospective Studies</subject><ispartof>European journal of nutrition, 2021-12, Vol.60 (8), p.4229-4241</ispartof><rights>The Author(s) 2021</rights><rights>2021. The Author(s).</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-d638c51c693a1661d8c59284a874f094e487deb4ac9a5818c690edacece2c6913</citedby><cites>FETCH-LOGICAL-c474t-d638c51c693a1661d8c59284a874f094e487deb4ac9a5818c690edacece2c6913</cites><orcidid>0000-0001-9980-1657</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00394-021-02575-3$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00394-021-02575-3$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34003332$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vanhaecke, Tiphaine</creatorcontrib><creatorcontrib>Dolci, Alberto</creatorcontrib><creatorcontrib>Fulgoni, Victor L.</creatorcontrib><creatorcontrib>Lieberman, Harris R.</creatorcontrib><title>Associations between urinary hydration markers and metabolic dysfunction: a cross-sectional analysis of NHANES data, 2008–2010</title><title>European journal of nutrition</title><addtitle>Eur J Nutr</addtitle><addtitle>Eur J Nutr</addtitle><description>Purpose
Growing evidence suggests hydration plays a role in metabolic dysfunction, however data in humans are scarce. This study examined the cross-sectional association between hydration and metabolic dysfunction in a representative sample of the US population.
Methods
Data from 3961 adult NHANES (National Health and Nutrition Examination Survey) participants (49.8% female; age 46.3 ± 0.5 years) were grouped by quartile of urine specific gravity (
U
SG
, 2007–2008 cohort) or urine osmolality (
U
Osm
, 2009–2010 cohort) as measures of hydration. Metabolic dysfunction was assessed by glycemic and insulinemic endpoints and by components of the metabolic syndrome. Multivariate-adjusted linear and logistic regression models were used.
Results
Increasing quartiles of
U
SG
but not
U
Osm
was associated with higher fasting plasma glucose (FPG), glycated hemoglobin (all
P
< 0.01), HOMA-IR and elevated insulin (all
P
< 0.05). Compared with the lowest quartile, those with the highest
U
SG
but not
U
Osm
had greater risk of metabolic syndrome (Q4 vs. Q1, OR (99% CI): 1.6 (1.0, 2.7),
P
= 0.01) and diabetes (Q4 vs. Q1, OR: 1.8 (1.0, 3.4),
P
< 0.05). Additionally, those with
U
SG
> 1.013 or
U
Osm
> 500 mOsm/kg, common cut-off values for optimal hydration based on retrospective analyses of existing data, had less favorable metabolic markers. In a subset of participants free from diabetes mellitus, impaired kidney function, hypertension and diuretic medication,
U
SG
remained positively associated with FPG (
P
< 0.01) and elevated FPG (
P
< 0.05).
Conclusion
These analyses provide population-based evidence that
U
SG
as a proxy for hydration is associated with glucose homeostasis in NHANES 2007–2008. The same association was not significant when
U
Osm
was used as a proxy for hydration in the 2009–2010 wave.
Clinical trial registry
Not applicable, as this was a reanalysis of existing NHANES data.</description><subject>Adult</subject><subject>Biomarkers</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diuretics</subject><subject>Female</subject><subject>Hemoglobin</subject><subject>Homeostasis</subject><subject>Humans</subject><subject>Hydration</subject><subject>Insulin</subject><subject>Male</subject><subject>Metabolic syndrome</subject><subject>Middle Aged</subject><subject>Nutrition</subject><subject>Nutrition Surveys</subject><subject>Original Contribution</subject><subject>Osmolar Concentration</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><issn>1436-6207</issn><issn>1436-6215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kc1u1DAQxy0EoqXwAhyQJS4cCPgzcTggrarSVqrKAThbs_akTcnaxU5a5dZ34A15Ery7Zfk4cLA89vzmb8_8CXnO2RvOWPM2MyZbVTHBy9KNruQDss-VrKtacP1wF7NmjzzJ-YoxJmTNH5M9qUqplGKf3C1yjq6HsY8h0yWOt4iBTqkPkGZ6Ofu0SdEVpK-YMoXg6QpHWMahd9TPuZuCWxPvKFCXYs5Vxs0FDAWGYc59prGj5yeL86NP1MMIr6lgzPy4-y4YZ0_Jow6GjM_u9wPy5cPR58OT6uzj8enh4qxyqlFj5WtpnOaubiXwuua-nFphFJhGdaxVqEzjcanAtaANNwVk6MGhQ1FiLg_I-63u9bRcoXcYxgSDvU59aW22EXr7dyb0l_Yi3lijG8FbXQRe3Quk-G3CPNpVnx0OAwSMU7ZCC2OEVEoV9OU_6FWcUhnGmmplq1UtTKHEltqMLWG3-wxndm2w3Rpsi8F2Y7CVpejFn23sSn45WgC5BXJJhQtMv9_-j-xPkpCymw</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Vanhaecke, Tiphaine</creator><creator>Dolci, Alberto</creator><creator>Fulgoni, Victor L.</creator><creator>Lieberman, Harris R.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><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>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</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>K9.</scope><scope>KB0</scope><scope>M0R</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/0000-0001-9980-1657</orcidid></search><sort><creationdate>20211201</creationdate><title>Associations between urinary hydration markers and metabolic dysfunction: a cross-sectional analysis of NHANES data, 2008–2010</title><author>Vanhaecke, Tiphaine ; Dolci, Alberto ; Fulgoni, Victor L. ; Lieberman, Harris R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-d638c51c693a1661d8c59284a874f094e487deb4ac9a5818c690edacece2c6913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Biomarkers</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diuretics</topic><topic>Female</topic><topic>Hemoglobin</topic><topic>Homeostasis</topic><topic>Humans</topic><topic>Hydration</topic><topic>Insulin</topic><topic>Male</topic><topic>Metabolic syndrome</topic><topic>Middle Aged</topic><topic>Nutrition</topic><topic>Nutrition Surveys</topic><topic>Original Contribution</topic><topic>Osmolar Concentration</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vanhaecke, Tiphaine</creatorcontrib><creatorcontrib>Dolci, Alberto</creatorcontrib><creatorcontrib>Fulgoni, Victor L.</creatorcontrib><creatorcontrib>Lieberman, Harris R.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><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>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>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>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>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health 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>European journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vanhaecke, Tiphaine</au><au>Dolci, Alberto</au><au>Fulgoni, Victor L.</au><au>Lieberman, Harris R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations between urinary hydration markers and metabolic dysfunction: a cross-sectional analysis of NHANES data, 2008–2010</atitle><jtitle>European journal of nutrition</jtitle><stitle>Eur J Nutr</stitle><addtitle>Eur J Nutr</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>60</volume><issue>8</issue><spage>4229</spage><epage>4241</epage><pages>4229-4241</pages><issn>1436-6207</issn><eissn>1436-6215</eissn><abstract>Purpose
Growing evidence suggests hydration plays a role in metabolic dysfunction, however data in humans are scarce. This study examined the cross-sectional association between hydration and metabolic dysfunction in a representative sample of the US population.
Methods
Data from 3961 adult NHANES (National Health and Nutrition Examination Survey) participants (49.8% female; age 46.3 ± 0.5 years) were grouped by quartile of urine specific gravity (
U
SG
, 2007–2008 cohort) or urine osmolality (
U
Osm
, 2009–2010 cohort) as measures of hydration. Metabolic dysfunction was assessed by glycemic and insulinemic endpoints and by components of the metabolic syndrome. Multivariate-adjusted linear and logistic regression models were used.
Results
Increasing quartiles of
U
SG
but not
U
Osm
was associated with higher fasting plasma glucose (FPG), glycated hemoglobin (all
P
< 0.01), HOMA-IR and elevated insulin (all
P
< 0.05). Compared with the lowest quartile, those with the highest
U
SG
but not
U
Osm
had greater risk of metabolic syndrome (Q4 vs. Q1, OR (99% CI): 1.6 (1.0, 2.7),
P
= 0.01) and diabetes (Q4 vs. Q1, OR: 1.8 (1.0, 3.4),
P
< 0.05). Additionally, those with
U
SG
> 1.013 or
U
Osm
> 500 mOsm/kg, common cut-off values for optimal hydration based on retrospective analyses of existing data, had less favorable metabolic markers. In a subset of participants free from diabetes mellitus, impaired kidney function, hypertension and diuretic medication,
U
SG
remained positively associated with FPG (
P
< 0.01) and elevated FPG (
P
< 0.05).
Conclusion
These analyses provide population-based evidence that
U
SG
as a proxy for hydration is associated with glucose homeostasis in NHANES 2007–2008. The same association was not significant when
U
Osm
was used as a proxy for hydration in the 2009–2010 wave.
Clinical trial registry
Not applicable, as this was a reanalysis of existing NHANES data.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34003332</pmid><doi>10.1007/s00394-021-02575-3</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-9980-1657</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1436-6207 |
| ispartof | European journal of nutrition, 2021-12, Vol.60 (8), p.4229-4241 |
| issn | 1436-6207 1436-6215 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8572195 |
| source | MEDLINE; SpringerLink Journals |
| subjects | Adult Biomarkers Chemistry Chemistry and Materials Science Cross-Sectional Studies Diabetes Diabetes mellitus Diuretics Female Hemoglobin Homeostasis Humans Hydration Insulin Male Metabolic syndrome Middle Aged Nutrition Nutrition Surveys Original Contribution Osmolar Concentration Regression analysis Retrospective Studies |
| title | Associations between urinary hydration markers and metabolic dysfunction: a cross-sectional analysis of NHANES data, 2008–2010 |
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