HbA1c, fasting and 2 h plasma glucose in current, ex- and never-smokers: a meta-analysis
Aims/Hypothesis The relationships between smoking and glycaemic variables have not been well explored. We compared HbA 1c , fasting plasma glucose (FPG) and 2 h plasma glucose (2H-PG) in current, ex- and never-smokers. Methods This meta-analysis used individual data from 16,886 men and 18,539 women...
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creator | Soulimane, Soraya Simon, Dominique Herman, William H. Lange, Celine Lee, Crystal M. Y. Colagiuri, Stephen Shaw, Jonathan E. Zimmet, Paul Z. Magliano, Dianna Ferreira, Sandra R. G. Dong, Yanghu Zhang, Lei Jorgensen, Torben Tuomilehto, Jaakko Mohan, Viswanathan Christensen, Dirk L. Kaduka, Lydia Dekker, Jacqueline M. Nijpels, Giel Stehouwer, Coen D. A. Lantieri, Olivier Fujimoto, Wilfred Y. Leonetti, Donna L. McNeely, Marguerite J. Borch-Johnsen, Knut Boyko, Edward J. Vistisen, Dorte Balkau, Beverley |
description | Aims/Hypothesis
The relationships between smoking and glycaemic variables have not been well explored. We compared HbA
1c
, fasting plasma glucose (FPG) and 2 h plasma glucose (2H-PG) in current, ex- and never-smokers.
Methods
This meta-analysis used individual data from 16,886 men and 18,539 women without known diabetes in 12 DETECT-2 consortium studies and in the French Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) and Telecom studies. Means of three glycaemic variables in current, ex- and never-smokers were modelled by linear regression, with study as a random factor. The
I
2
statistic was used to evaluate heterogeneity among studies.
Results
HbA
1c
was 0.10% (95% CI 0.08, 0.12) (1.1 mmol/mol [0.9, 1.3]) higher in current smokers and 0.03% (0.01, 0.05) (0.3 mmol/mol [0.1, 0.5]) higher in ex-smokers, compared with never-smokers. For FPG, there was no significant difference between current and never-smokers (−0.004 mmol/l [−0.03, 0.02]) but FPG was higher in ex-smokers (0.12 mmol/l [0.09, 0.14]). In comparison with never-smokers, 2H-PG was lower (−0.44 mmol/l [−0.52, −0.37]) in current smokers, with no difference for ex-smokers (0.02 mmol/l [−0.06, 0.09]). There was a large and unexplained heterogeneity among studies, with
I
2
always above 50%;
I
2
was little changed after stratification by sex and adjustment for age and BMI. In this study population, current smokers had a prevalence of diabetes that was 1.30% higher as screened by HbA
1c
and 0.52% lower as screened by 2H-PG, in comparison with never-smokers.
Conclusion/interpretation
Across this heterogeneous group of studies, current smokers had a higher HbA
1c
and lower 2H-PG than never-smokers. This will affect the chances of smokers being diagnosed with diabetes. |
doi_str_mv | 10.1007/s00125-013-3058-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1466373749</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1466373749</sourcerecordid><originalsourceid>FETCH-LOGICAL-c483t-d36c850a13e709781190313863bd73e8369849b6b150b552227b1f2734cd22da3</originalsourceid><addsrcrecordid>eNp9kEGO1DAQRS0EYpqBA7BB3iCxGIPLZTsOu9EIGKSR2IAEK8txnCZD4jSuBNG34SycjDTdwI5VLf77v6TH2GOQz0HK6gVJCcoICShQGif2d9gGNCohtXJ32eYQC3D24xl7QHQrpUSj7X12prS0Bgxu2Kfr5hLiBe8CzX3e8pBbrn7--Mx3Q6Ax8O2wxIkS7zOPSykpzxc8fRe_uZy-pSJonL6kQi954GOagwg5DHvq6SG714WB0qPTPWcfXr96f3Utbt69eXt1eSOidjiLFm10RgbAVMm6cgC1REBnsWkrTA5t7XTd2AaMbIxRSlUNdKpCHVul2oDn7Nlxd1emr0ui2Y89xTQMIadpIQ_aWqyw0vWKwhGNZSIqqfO70o-h7D1IfzDqj0b9atQfjPr92nlyml-aMbV_G38UrsDTExAohqErIcee_nHO1NqCXTl15GiN8jYVfzstZZVF__n-C7n5i_8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1466373749</pqid></control><display><type>article</type><title>HbA1c, fasting and 2 h plasma glucose in current, ex- and never-smokers: a meta-analysis</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Soulimane, Soraya ; Simon, Dominique ; Herman, William H. ; Lange, Celine ; Lee, Crystal M. Y. ; Colagiuri, Stephen ; Shaw, Jonathan E. ; Zimmet, Paul Z. ; Magliano, Dianna ; Ferreira, Sandra R. G. ; Dong, Yanghu ; Zhang, Lei ; Jorgensen, Torben ; Tuomilehto, Jaakko ; Mohan, Viswanathan ; Christensen, Dirk L. ; Kaduka, Lydia ; Dekker, Jacqueline M. ; Nijpels, Giel ; Stehouwer, Coen D. A. ; Lantieri, Olivier ; Fujimoto, Wilfred Y. ; Leonetti, Donna L. ; McNeely, Marguerite J. ; Borch-Johnsen, Knut ; Boyko, Edward J. ; Vistisen, Dorte ; Balkau, Beverley</creator><creatorcontrib>Soulimane, Soraya ; Simon, Dominique ; Herman, William H. ; Lange, Celine ; Lee, Crystal M. Y. ; Colagiuri, Stephen ; Shaw, Jonathan E. ; Zimmet, Paul Z. ; Magliano, Dianna ; Ferreira, Sandra R. G. ; Dong, Yanghu ; Zhang, Lei ; Jorgensen, Torben ; Tuomilehto, Jaakko ; Mohan, Viswanathan ; Christensen, Dirk L. ; Kaduka, Lydia ; Dekker, Jacqueline M. ; Nijpels, Giel ; Stehouwer, Coen D. A. ; Lantieri, Olivier ; Fujimoto, Wilfred Y. ; Leonetti, Donna L. ; McNeely, Marguerite J. ; Borch-Johnsen, Knut ; Boyko, Edward J. ; Vistisen, Dorte ; Balkau, Beverley ; DETECT-2 Study Group ; DESIR Study Group ; on behalf of the DETECT-2 Study Group</creatorcontrib><description>Aims/Hypothesis
The relationships between smoking and glycaemic variables have not been well explored. We compared HbA
1c
, fasting plasma glucose (FPG) and 2 h plasma glucose (2H-PG) in current, ex- and never-smokers.
Methods
This meta-analysis used individual data from 16,886 men and 18,539 women without known diabetes in 12 DETECT-2 consortium studies and in the French Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) and Telecom studies. Means of three glycaemic variables in current, ex- and never-smokers were modelled by linear regression, with study as a random factor. The
I
2
statistic was used to evaluate heterogeneity among studies.
Results
HbA
1c
was 0.10% (95% CI 0.08, 0.12) (1.1 mmol/mol [0.9, 1.3]) higher in current smokers and 0.03% (0.01, 0.05) (0.3 mmol/mol [0.1, 0.5]) higher in ex-smokers, compared with never-smokers. For FPG, there was no significant difference between current and never-smokers (−0.004 mmol/l [−0.03, 0.02]) but FPG was higher in ex-smokers (0.12 mmol/l [0.09, 0.14]). In comparison with never-smokers, 2H-PG was lower (−0.44 mmol/l [−0.52, −0.37]) in current smokers, with no difference for ex-smokers (0.02 mmol/l [−0.06, 0.09]). There was a large and unexplained heterogeneity among studies, with
I
2
always above 50%;
I
2
was little changed after stratification by sex and adjustment for age and BMI. In this study population, current smokers had a prevalence of diabetes that was 1.30% higher as screened by HbA
1c
and 0.52% lower as screened by 2H-PG, in comparison with never-smokers.
Conclusion/interpretation
Across this heterogeneous group of studies, current smokers had a higher HbA
1c
and lower 2H-PG than never-smokers. This will affect the chances of smokers being diagnosed with diabetes.</description><identifier>ISSN: 0012-186X</identifier><identifier>EISSN: 1432-0428</identifier><identifier>DOI: 10.1007/s00125-013-3058-y</identifier><identifier>PMID: 24065153</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biological and medical sciences ; Blood Glucose - metabolism ; Diabetes. Impaired glucose tolerance ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Etiopathogenesis. Screening. Investigations. Target tissue resistance ; Fasting - blood ; Glycated Hemoglobin A - metabolism ; Human Physiology ; Humans ; Internal Medicine ; Medical sciences ; Medicine ; Medicine & Public Health ; Meta-Analysis ; Metabolic Diseases ; Smoking - blood ; Smoking - metabolism</subject><ispartof>Diabetologia, 2014-01, Vol.57 (1), p.30-39</ispartof><rights>Springer-Verlag Berlin Heidelberg 2013</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-d36c850a13e709781190313863bd73e8369849b6b150b552227b1f2734cd22da3</citedby><cites>FETCH-LOGICAL-c483t-d36c850a13e709781190313863bd73e8369849b6b150b552227b1f2734cd22da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00125-013-3058-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00125-013-3058-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28594616$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24065153$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Soulimane, Soraya</creatorcontrib><creatorcontrib>Simon, Dominique</creatorcontrib><creatorcontrib>Herman, William H.</creatorcontrib><creatorcontrib>Lange, Celine</creatorcontrib><creatorcontrib>Lee, Crystal M. Y.</creatorcontrib><creatorcontrib>Colagiuri, Stephen</creatorcontrib><creatorcontrib>Shaw, Jonathan E.</creatorcontrib><creatorcontrib>Zimmet, Paul Z.</creatorcontrib><creatorcontrib>Magliano, Dianna</creatorcontrib><creatorcontrib>Ferreira, Sandra R. G.</creatorcontrib><creatorcontrib>Dong, Yanghu</creatorcontrib><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Jorgensen, Torben</creatorcontrib><creatorcontrib>Tuomilehto, Jaakko</creatorcontrib><creatorcontrib>Mohan, Viswanathan</creatorcontrib><creatorcontrib>Christensen, Dirk L.</creatorcontrib><creatorcontrib>Kaduka, Lydia</creatorcontrib><creatorcontrib>Dekker, Jacqueline M.</creatorcontrib><creatorcontrib>Nijpels, Giel</creatorcontrib><creatorcontrib>Stehouwer, Coen D. A.</creatorcontrib><creatorcontrib>Lantieri, Olivier</creatorcontrib><creatorcontrib>Fujimoto, Wilfred Y.</creatorcontrib><creatorcontrib>Leonetti, Donna L.</creatorcontrib><creatorcontrib>McNeely, Marguerite J.</creatorcontrib><creatorcontrib>Borch-Johnsen, Knut</creatorcontrib><creatorcontrib>Boyko, Edward J.</creatorcontrib><creatorcontrib>Vistisen, Dorte</creatorcontrib><creatorcontrib>Balkau, Beverley</creatorcontrib><creatorcontrib>DETECT-2 Study Group</creatorcontrib><creatorcontrib>DESIR Study Group</creatorcontrib><creatorcontrib>on behalf of the DETECT-2 Study Group</creatorcontrib><title>HbA1c, fasting and 2 h plasma glucose in current, ex- and never-smokers: a meta-analysis</title><title>Diabetologia</title><addtitle>Diabetologia</addtitle><addtitle>Diabetologia</addtitle><description>Aims/Hypothesis
The relationships between smoking and glycaemic variables have not been well explored. We compared HbA
1c
, fasting plasma glucose (FPG) and 2 h plasma glucose (2H-PG) in current, ex- and never-smokers.
Methods
This meta-analysis used individual data from 16,886 men and 18,539 women without known diabetes in 12 DETECT-2 consortium studies and in the French Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) and Telecom studies. Means of three glycaemic variables in current, ex- and never-smokers were modelled by linear regression, with study as a random factor. The
I
2
statistic was used to evaluate heterogeneity among studies.
Results
HbA
1c
was 0.10% (95% CI 0.08, 0.12) (1.1 mmol/mol [0.9, 1.3]) higher in current smokers and 0.03% (0.01, 0.05) (0.3 mmol/mol [0.1, 0.5]) higher in ex-smokers, compared with never-smokers. For FPG, there was no significant difference between current and never-smokers (−0.004 mmol/l [−0.03, 0.02]) but FPG was higher in ex-smokers (0.12 mmol/l [0.09, 0.14]). In comparison with never-smokers, 2H-PG was lower (−0.44 mmol/l [−0.52, −0.37]) in current smokers, with no difference for ex-smokers (0.02 mmol/l [−0.06, 0.09]). There was a large and unexplained heterogeneity among studies, with
I
2
always above 50%;
I
2
was little changed after stratification by sex and adjustment for age and BMI. In this study population, current smokers had a prevalence of diabetes that was 1.30% higher as screened by HbA
1c
and 0.52% lower as screened by 2H-PG, in comparison with never-smokers.
Conclusion/interpretation
Across this heterogeneous group of studies, current smokers had a higher HbA
1c
and lower 2H-PG than never-smokers. This will affect the chances of smokers being diagnosed with diabetes.</description><subject>Biological and medical sciences</subject><subject>Blood Glucose - metabolism</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Etiopathogenesis. Screening. Investigations. Target tissue resistance</subject><subject>Fasting - blood</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>Human Physiology</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Meta-Analysis</subject><subject>Metabolic Diseases</subject><subject>Smoking - blood</subject><subject>Smoking - metabolism</subject><issn>0012-186X</issn><issn>1432-0428</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEGO1DAQRS0EYpqBA7BB3iCxGIPLZTsOu9EIGKSR2IAEK8txnCZD4jSuBNG34SycjDTdwI5VLf77v6TH2GOQz0HK6gVJCcoICShQGif2d9gGNCohtXJ32eYQC3D24xl7QHQrpUSj7X12prS0Bgxu2Kfr5hLiBe8CzX3e8pBbrn7--Mx3Q6Ax8O2wxIkS7zOPSykpzxc8fRe_uZy-pSJonL6kQi954GOagwg5DHvq6SG714WB0qPTPWcfXr96f3Utbt69eXt1eSOidjiLFm10RgbAVMm6cgC1REBnsWkrTA5t7XTd2AaMbIxRSlUNdKpCHVul2oDn7Nlxd1emr0ui2Y89xTQMIadpIQ_aWqyw0vWKwhGNZSIqqfO70o-h7D1IfzDqj0b9atQfjPr92nlyml-aMbV_G38UrsDTExAohqErIcee_nHO1NqCXTl15GiN8jYVfzstZZVF__n-C7n5i_8</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Soulimane, Soraya</creator><creator>Simon, Dominique</creator><creator>Herman, William H.</creator><creator>Lange, Celine</creator><creator>Lee, Crystal M. Y.</creator><creator>Colagiuri, Stephen</creator><creator>Shaw, Jonathan E.</creator><creator>Zimmet, Paul Z.</creator><creator>Magliano, Dianna</creator><creator>Ferreira, Sandra R. G.</creator><creator>Dong, Yanghu</creator><creator>Zhang, Lei</creator><creator>Jorgensen, Torben</creator><creator>Tuomilehto, Jaakko</creator><creator>Mohan, Viswanathan</creator><creator>Christensen, Dirk L.</creator><creator>Kaduka, Lydia</creator><creator>Dekker, Jacqueline M.</creator><creator>Nijpels, Giel</creator><creator>Stehouwer, Coen D. A.</creator><creator>Lantieri, Olivier</creator><creator>Fujimoto, Wilfred Y.</creator><creator>Leonetti, Donna L.</creator><creator>McNeely, Marguerite J.</creator><creator>Borch-Johnsen, Knut</creator><creator>Boyko, Edward J.</creator><creator>Vistisen, Dorte</creator><creator>Balkau, Beverley</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</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>7X8</scope></search><sort><creationdate>20140101</creationdate><title>HbA1c, fasting and 2 h plasma glucose in current, ex- and never-smokers: a meta-analysis</title><author>Soulimane, Soraya ; Simon, Dominique ; Herman, William H. ; Lange, Celine ; Lee, Crystal M. Y. ; Colagiuri, Stephen ; Shaw, Jonathan E. ; Zimmet, Paul Z. ; Magliano, Dianna ; Ferreira, Sandra R. G. ; Dong, Yanghu ; Zhang, Lei ; Jorgensen, Torben ; Tuomilehto, Jaakko ; Mohan, Viswanathan ; Christensen, Dirk L. ; Kaduka, Lydia ; Dekker, Jacqueline M. ; Nijpels, Giel ; Stehouwer, Coen D. A. ; Lantieri, Olivier ; Fujimoto, Wilfred Y. ; Leonetti, Donna L. ; McNeely, Marguerite J. ; Borch-Johnsen, Knut ; Boyko, Edward J. ; Vistisen, Dorte ; Balkau, Beverley</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-d36c850a13e709781190313863bd73e8369849b6b150b552227b1f2734cd22da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biological and medical sciences</topic><topic>Blood Glucose - metabolism</topic><topic>Diabetes. Impaired glucose tolerance</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Etiopathogenesis. Screening. Investigations. Target tissue resistance</topic><topic>Fasting - blood</topic><topic>Glycated Hemoglobin A - metabolism</topic><topic>Human Physiology</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Meta-Analysis</topic><topic>Metabolic Diseases</topic><topic>Smoking - blood</topic><topic>Smoking - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soulimane, Soraya</creatorcontrib><creatorcontrib>Simon, Dominique</creatorcontrib><creatorcontrib>Herman, William H.</creatorcontrib><creatorcontrib>Lange, Celine</creatorcontrib><creatorcontrib>Lee, Crystal M. Y.</creatorcontrib><creatorcontrib>Colagiuri, Stephen</creatorcontrib><creatorcontrib>Shaw, Jonathan E.</creatorcontrib><creatorcontrib>Zimmet, Paul Z.</creatorcontrib><creatorcontrib>Magliano, Dianna</creatorcontrib><creatorcontrib>Ferreira, Sandra R. G.</creatorcontrib><creatorcontrib>Dong, Yanghu</creatorcontrib><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Jorgensen, Torben</creatorcontrib><creatorcontrib>Tuomilehto, Jaakko</creatorcontrib><creatorcontrib>Mohan, Viswanathan</creatorcontrib><creatorcontrib>Christensen, Dirk L.</creatorcontrib><creatorcontrib>Kaduka, Lydia</creatorcontrib><creatorcontrib>Dekker, Jacqueline M.</creatorcontrib><creatorcontrib>Nijpels, Giel</creatorcontrib><creatorcontrib>Stehouwer, Coen D. A.</creatorcontrib><creatorcontrib>Lantieri, Olivier</creatorcontrib><creatorcontrib>Fujimoto, Wilfred Y.</creatorcontrib><creatorcontrib>Leonetti, Donna L.</creatorcontrib><creatorcontrib>McNeely, Marguerite J.</creatorcontrib><creatorcontrib>Borch-Johnsen, Knut</creatorcontrib><creatorcontrib>Boyko, Edward J.</creatorcontrib><creatorcontrib>Vistisen, Dorte</creatorcontrib><creatorcontrib>Balkau, Beverley</creatorcontrib><creatorcontrib>DETECT-2 Study Group</creatorcontrib><creatorcontrib>DESIR Study Group</creatorcontrib><creatorcontrib>on behalf of the DETECT-2 Study Group</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soulimane, Soraya</au><au>Simon, Dominique</au><au>Herman, William H.</au><au>Lange, Celine</au><au>Lee, Crystal M. Y.</au><au>Colagiuri, Stephen</au><au>Shaw, Jonathan E.</au><au>Zimmet, Paul Z.</au><au>Magliano, Dianna</au><au>Ferreira, Sandra R. G.</au><au>Dong, Yanghu</au><au>Zhang, Lei</au><au>Jorgensen, Torben</au><au>Tuomilehto, Jaakko</au><au>Mohan, Viswanathan</au><au>Christensen, Dirk L.</au><au>Kaduka, Lydia</au><au>Dekker, Jacqueline M.</au><au>Nijpels, Giel</au><au>Stehouwer, Coen D. A.</au><au>Lantieri, Olivier</au><au>Fujimoto, Wilfred Y.</au><au>Leonetti, Donna L.</au><au>McNeely, Marguerite J.</au><au>Borch-Johnsen, Knut</au><au>Boyko, Edward J.</au><au>Vistisen, Dorte</au><au>Balkau, Beverley</au><aucorp>DETECT-2 Study Group</aucorp><aucorp>DESIR Study Group</aucorp><aucorp>on behalf of the DETECT-2 Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>HbA1c, fasting and 2 h plasma glucose in current, ex- and never-smokers: a meta-analysis</atitle><jtitle>Diabetologia</jtitle><stitle>Diabetologia</stitle><addtitle>Diabetologia</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>57</volume><issue>1</issue><spage>30</spage><epage>39</epage><pages>30-39</pages><issn>0012-186X</issn><eissn>1432-0428</eissn><abstract>Aims/Hypothesis
The relationships between smoking and glycaemic variables have not been well explored. We compared HbA
1c
, fasting plasma glucose (FPG) and 2 h plasma glucose (2H-PG) in current, ex- and never-smokers.
Methods
This meta-analysis used individual data from 16,886 men and 18,539 women without known diabetes in 12 DETECT-2 consortium studies and in the French Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) and Telecom studies. Means of three glycaemic variables in current, ex- and never-smokers were modelled by linear regression, with study as a random factor. The
I
2
statistic was used to evaluate heterogeneity among studies.
Results
HbA
1c
was 0.10% (95% CI 0.08, 0.12) (1.1 mmol/mol [0.9, 1.3]) higher in current smokers and 0.03% (0.01, 0.05) (0.3 mmol/mol [0.1, 0.5]) higher in ex-smokers, compared with never-smokers. For FPG, there was no significant difference between current and never-smokers (−0.004 mmol/l [−0.03, 0.02]) but FPG was higher in ex-smokers (0.12 mmol/l [0.09, 0.14]). In comparison with never-smokers, 2H-PG was lower (−0.44 mmol/l [−0.52, −0.37]) in current smokers, with no difference for ex-smokers (0.02 mmol/l [−0.06, 0.09]). There was a large and unexplained heterogeneity among studies, with
I
2
always above 50%;
I
2
was little changed after stratification by sex and adjustment for age and BMI. In this study population, current smokers had a prevalence of diabetes that was 1.30% higher as screened by HbA
1c
and 0.52% lower as screened by 2H-PG, in comparison with never-smokers.
Conclusion/interpretation
Across this heterogeneous group of studies, current smokers had a higher HbA
1c
and lower 2H-PG than never-smokers. This will affect the chances of smokers being diagnosed with diabetes.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>24065153</pmid><doi>10.1007/s00125-013-3058-y</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
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ispartof | Diabetologia, 2014-01, Vol.57 (1), p.30-39 |
issn | 0012-186X 1432-0428 |
language | eng |
recordid | cdi_proquest_miscellaneous_1466373749 |
source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Biological and medical sciences Blood Glucose - metabolism Diabetes. Impaired glucose tolerance Endocrine pancreas. Apud cells (diseases) Endocrinopathies Etiopathogenesis. Screening. Investigations. Target tissue resistance Fasting - blood Glycated Hemoglobin A - metabolism Human Physiology Humans Internal Medicine Medical sciences Medicine Medicine & Public Health Meta-Analysis Metabolic Diseases Smoking - blood Smoking - metabolism |
title | HbA1c, fasting and 2 h plasma glucose in current, ex- and never-smokers: a meta-analysis |
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