Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study
Background: The impact of smoking on morbidity is well known, but in Romania, limited data are available regarding the smoking prevalence and relationship with cardiometabolic profile and kidney function. Objectives: To assess the association of smoking with cardiometabolic traits and kidney functio...
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creator | Popa, Simona Georgiana Moţa, Maria Mihălţan, Florin Dumitru Popa, Adina Munteanu, Ioana Moţa, Eugen Serafinceanu, Cristian Guja, Cristian Hâncu, Nicolae Catrinoiu, Doina Lichiardopol, Radu Bala, Cornelia Mihai, Bogdan Radulian, Gabriela Roman, Gabriela Timar, Romulus |
description | Background: The impact of smoking on morbidity is well known, but in Romania, limited data are available regarding the smoking prevalence and relationship with cardiometabolic profile and kidney function.
Objectives: To assess the association of smoking with cardiometabolic traits and kidney function, in a Romanian population-based sample from the PREDATORR study.
Methods: PREDATORR was an epidemiological cross-sectional study. Between 2012 and 2014, participants were randomly selected from the lists of general practitioners and enrolled if they were aged 20 to 79 years, born and living in the past 10 years in Romania. Sociodemographic and lifestyle characteristics were collected through interviewer-administered questionnaires.
Results: Overall, 2704 participants were included in the analysis, 18% of them being current smokers and 30.8% former smokers. Current smokers compared to non-smokers had higher total cholesterol (220.6 ± 50.4 versus 213.9 ± 86.8 mg/dl, P = 0.017), LDL-cholesterol (137.8 ± 45.2 versus 130.7 ± 83.7 mg/dl, P = 0.004) and glomerular filtration rate (96.9 ± 16.8 versus 90.7 ± 19.1 ml/min/1.73 m
2
, P |
doi_str_mv | 10.1080/13814788.2017.1324844 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmed_primary_28595498</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_784b867778134a96a922f0b81cab41dc</doaj_id><sourcerecordid>1908432310</sourcerecordid><originalsourceid>FETCH-LOGICAL-c562t-5210edac749764d34553bec21c3e3afa596a6c5fa8dc3295aa622265653f5333</originalsourceid><addsrcrecordid>eNp9kstu1DAUhiMEomXgEUCW2LDJ4GvsbBCjUqBSpaLR7K0Tx57xkNiDnbTqi_C8ZC6tKAtWtuzvfPY5-oviLcFzghX-SJgiXCo1p5jIOWGUK86fFedEClISjunzaT8x5R46K17lvMWYV5Lgl8UZVaIWvFbnxe9FztF4GHwMGUWHch9_-rBGd37YIAOp9bG3AzSx8wbtUnS-swhCi5IN0CE3BrOvRT4gQMvYQ_AQ0C7uxu4gLRvItkUZ-t1U6FLs0bCx6Mfy8stidbNcIpNizmW2B81kzMPY3r8uXjjosn1zWmfF6uvl6uJ7eX3z7epicV0aUdGhFJRg24KRvJYVbxkXgjXWUGKYZeBA1BVURjhQrWG0FgAVpbQSlWBOMMZmxdVR20bY6l3yPaR7HcHrw0FMaw1p8KazWireqEpKqQjjMHlrSh1uFDHQcDLpZ8Wno2s3Nr1tjQ1Dgu6J9OlN8Bu9jrdaSMmpqCfBh5MgxV-jzYPufTa26yDYOGZNaqw4o4zgCX3_D7qNY5qmlzUltaC0xnzfnThShxEn6x4_Q7Deh0g_hEjvQ6RPIZrq3v3dyWPVQ2om4PMR8MHF1MNdTF2rB7jvYnIJgvFZs_-_8QeCDdhs</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2195229043</pqid></control><display><type>article</type><title>Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study</title><source>Taylor & Francis Open Access</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Popa, Simona Georgiana ; Moţa, Maria ; Mihălţan, Florin Dumitru ; Popa, Adina ; Munteanu, Ioana ; Moţa, Eugen ; Serafinceanu, Cristian ; Guja, Cristian ; Hâncu, Nicolae ; Catrinoiu, Doina ; Lichiardopol, Radu ; Bala, Cornelia ; Mihai, Bogdan ; Radulian, Gabriela ; Roman, Gabriela ; Timar, Romulus</creator><creatorcontrib>Popa, Simona Georgiana ; Moţa, Maria ; Mihălţan, Florin Dumitru ; Popa, Adina ; Munteanu, Ioana ; Moţa, Eugen ; Serafinceanu, Cristian ; Guja, Cristian ; Hâncu, Nicolae ; Catrinoiu, Doina ; Lichiardopol, Radu ; Bala, Cornelia ; Mihai, Bogdan ; Radulian, Gabriela ; Roman, Gabriela ; Timar, Romulus</creatorcontrib><description>Background: The impact of smoking on morbidity is well known, but in Romania, limited data are available regarding the smoking prevalence and relationship with cardiometabolic profile and kidney function.
Objectives: To assess the association of smoking with cardiometabolic traits and kidney function, in a Romanian population-based sample from the PREDATORR study.
Methods: PREDATORR was an epidemiological cross-sectional study. Between 2012 and 2014, participants were randomly selected from the lists of general practitioners and enrolled if they were aged 20 to 79 years, born and living in the past 10 years in Romania. Sociodemographic and lifestyle characteristics were collected through interviewer-administered questionnaires.
Results: Overall, 2704 participants were included in the analysis, 18% of them being current smokers and 30.8% former smokers. Current smokers compared to non-smokers had higher total cholesterol (220.6 ± 50.4 versus 213.9 ± 86.8 mg/dl, P = 0.017), LDL-cholesterol (137.8 ± 45.2 versus 130.7 ± 83.7 mg/dl, P = 0.004) and glomerular filtration rate (96.9 ± 16.8 versus 90.7 ± 19.1 ml/min/1.73 m
2
, P <0.001) in women and higher triglycerides (170.7 ± 129.8 versus 144.3 ± 94.2 mg/dl, P = 0.007), glomerular filtration rate (97.6 ± 17 versus 90.3 ± 18 ml/min/1.73 m
2
, P < 0.001) and lower HDL-cholesterol (48 ± 15.5 versus 50.4 ± 14.1 mg/dl, P = 0.002) in men. Active smoking was associated with hypercholesterolaemia [OR: 1.40 (95% CI: 1.01-1.96), P = 0.04] and low HDL-cholesterolaemia [OR: 1.39 (95% CI: 1.01-1.91), P = 0.04] and negatively associated with overweight/obesity [OR: 0.67 (95% CI: 0.48-0.94), P = 0.02]. Male former smokers had higher prevalence of abdominal obesity (82.4% versus 76.4%, P = 0.02), hypertriglyceridaemia (43.6% versus 35.6%, P = 0.01), hypertension (64% versus 56.4%, P = 0.01) and ischaemic vascular disease (40.5% versus 30.9%, P = 0.003) than male non-smokers.
Conclusion: The PREDATORR study showed a high prevalence of smoking in the adult Romanian population providing data on the association of smoking with cardiometabolic traits.</description><identifier>ISSN: 1381-4788</identifier><identifier>EISSN: 1751-1402</identifier><identifier>DOI: 10.1080/13814788.2017.1324844</identifier><identifier>PMID: 28595498</identifier><language>eng</language><publisher>England: Taylor & Francis</publisher><subject>Adult ; Aged ; Blood Glucose - metabolism ; cardiometabolic risk factors ; Cholesterol ; Cholesterol - blood ; Cholesterol, HDL - blood ; Cholesterol, LDL - blood ; Cross-Sectional Studies ; Epidemiology ; Female ; Glomerular Filtration Rate ; Glycated Hemoglobin - metabolism ; Humans ; Hypercholesterolemia - blood ; Hypercholesterolemia - epidemiology ; Hypertriglyceridemia - blood ; Hypertriglyceridemia - epidemiology ; Male ; Middle Aged ; Obesity - blood ; Obesity - epidemiology ; Original ; Population-based studies ; PREDATORR study ; Prevalence ; Romania - epidemiology ; Sex Factors ; smoking ; Smoking - epidemiology ; Smoking Cessation ; Triglycerides - blood ; Vascular Diseases - epidemiology</subject><ispartof>The European journal of general practice, 2017-12, Vol.23 (1), p.165-171</ispartof><rights>2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2017</rights><rights>2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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><rights>2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2017 The Author(s).</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c562t-5210edac749764d34553bec21c3e3afa596a6c5fa8dc3295aa622265653f5333</citedby><cites>FETCH-LOGICAL-c562t-5210edac749764d34553bec21c3e3afa596a6c5fa8dc3295aa622265653f5333</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/PMC5774259/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774259/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,27479,27901,27902,53766,53768,59116,59117</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28595498$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Popa, Simona Georgiana</creatorcontrib><creatorcontrib>Moţa, Maria</creatorcontrib><creatorcontrib>Mihălţan, Florin Dumitru</creatorcontrib><creatorcontrib>Popa, Adina</creatorcontrib><creatorcontrib>Munteanu, Ioana</creatorcontrib><creatorcontrib>Moţa, Eugen</creatorcontrib><creatorcontrib>Serafinceanu, Cristian</creatorcontrib><creatorcontrib>Guja, Cristian</creatorcontrib><creatorcontrib>Hâncu, Nicolae</creatorcontrib><creatorcontrib>Catrinoiu, Doina</creatorcontrib><creatorcontrib>Lichiardopol, Radu</creatorcontrib><creatorcontrib>Bala, Cornelia</creatorcontrib><creatorcontrib>Mihai, Bogdan</creatorcontrib><creatorcontrib>Radulian, Gabriela</creatorcontrib><creatorcontrib>Roman, Gabriela</creatorcontrib><creatorcontrib>Timar, Romulus</creatorcontrib><title>Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study</title><title>The European journal of general practice</title><addtitle>Eur J Gen Pract</addtitle><description>Background: The impact of smoking on morbidity is well known, but in Romania, limited data are available regarding the smoking prevalence and relationship with cardiometabolic profile and kidney function.
Objectives: To assess the association of smoking with cardiometabolic traits and kidney function, in a Romanian population-based sample from the PREDATORR study.
Methods: PREDATORR was an epidemiological cross-sectional study. Between 2012 and 2014, participants were randomly selected from the lists of general practitioners and enrolled if they were aged 20 to 79 years, born and living in the past 10 years in Romania. Sociodemographic and lifestyle characteristics were collected through interviewer-administered questionnaires.
Results: Overall, 2704 participants were included in the analysis, 18% of them being current smokers and 30.8% former smokers. Current smokers compared to non-smokers had higher total cholesterol (220.6 ± 50.4 versus 213.9 ± 86.8 mg/dl, P = 0.017), LDL-cholesterol (137.8 ± 45.2 versus 130.7 ± 83.7 mg/dl, P = 0.004) and glomerular filtration rate (96.9 ± 16.8 versus 90.7 ± 19.1 ml/min/1.73 m
2
, P <0.001) in women and higher triglycerides (170.7 ± 129.8 versus 144.3 ± 94.2 mg/dl, P = 0.007), glomerular filtration rate (97.6 ± 17 versus 90.3 ± 18 ml/min/1.73 m
2
, P < 0.001) and lower HDL-cholesterol (48 ± 15.5 versus 50.4 ± 14.1 mg/dl, P = 0.002) in men. Active smoking was associated with hypercholesterolaemia [OR: 1.40 (95% CI: 1.01-1.96), P = 0.04] and low HDL-cholesterolaemia [OR: 1.39 (95% CI: 1.01-1.91), P = 0.04] and negatively associated with overweight/obesity [OR: 0.67 (95% CI: 0.48-0.94), P = 0.02]. Male former smokers had higher prevalence of abdominal obesity (82.4% versus 76.4%, P = 0.02), hypertriglyceridaemia (43.6% versus 35.6%, P = 0.01), hypertension (64% versus 56.4%, P = 0.01) and ischaemic vascular disease (40.5% versus 30.9%, P = 0.003) than male non-smokers.
Conclusion: The PREDATORR study showed a high prevalence of smoking in the adult Romanian population providing data on the association of smoking with cardiometabolic traits.</description><subject>Adult</subject><subject>Aged</subject><subject>Blood Glucose - metabolism</subject><subject>cardiometabolic risk factors</subject><subject>Cholesterol</subject><subject>Cholesterol - blood</subject><subject>Cholesterol, HDL - blood</subject><subject>Cholesterol, LDL - blood</subject><subject>Cross-Sectional Studies</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Glycated Hemoglobin - metabolism</subject><subject>Humans</subject><subject>Hypercholesterolemia - blood</subject><subject>Hypercholesterolemia - epidemiology</subject><subject>Hypertriglyceridemia - blood</subject><subject>Hypertriglyceridemia - epidemiology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Obesity - blood</subject><subject>Obesity - epidemiology</subject><subject>Original</subject><subject>Population-based studies</subject><subject>PREDATORR study</subject><subject>Prevalence</subject><subject>Romania - epidemiology</subject><subject>Sex Factors</subject><subject>smoking</subject><subject>Smoking - epidemiology</subject><subject>Smoking Cessation</subject><subject>Triglycerides - blood</subject><subject>Vascular Diseases - epidemiology</subject><issn>1381-4788</issn><issn>1751-1402</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><sourceid>DOA</sourceid><recordid>eNp9kstu1DAUhiMEomXgEUCW2LDJ4GvsbBCjUqBSpaLR7K0Tx57xkNiDnbTqi_C8ZC6tKAtWtuzvfPY5-oviLcFzghX-SJgiXCo1p5jIOWGUK86fFedEClISjunzaT8x5R46K17lvMWYV5Lgl8UZVaIWvFbnxe9FztF4GHwMGUWHch9_-rBGd37YIAOp9bG3AzSx8wbtUnS-swhCi5IN0CE3BrOvRT4gQMvYQ_AQ0C7uxu4gLRvItkUZ-t1U6FLs0bCx6Mfy8stidbNcIpNizmW2B81kzMPY3r8uXjjosn1zWmfF6uvl6uJ7eX3z7epicV0aUdGhFJRg24KRvJYVbxkXgjXWUGKYZeBA1BVURjhQrWG0FgAVpbQSlWBOMMZmxdVR20bY6l3yPaR7HcHrw0FMaw1p8KazWireqEpKqQjjMHlrSh1uFDHQcDLpZ8Wno2s3Nr1tjQ1Dgu6J9OlN8Bu9jrdaSMmpqCfBh5MgxV-jzYPufTa26yDYOGZNaqw4o4zgCX3_D7qNY5qmlzUltaC0xnzfnThShxEn6x4_Q7Deh0g_hEjvQ6RPIZrq3v3dyWPVQ2om4PMR8MHF1MNdTF2rB7jvYnIJgvFZs_-_8QeCDdhs</recordid><startdate>201712</startdate><enddate>201712</enddate><creator>Popa, Simona Georgiana</creator><creator>Moţa, Maria</creator><creator>Mihălţan, Florin Dumitru</creator><creator>Popa, Adina</creator><creator>Munteanu, Ioana</creator><creator>Moţa, Eugen</creator><creator>Serafinceanu, Cristian</creator><creator>Guja, Cristian</creator><creator>Hâncu, Nicolae</creator><creator>Catrinoiu, Doina</creator><creator>Lichiardopol, Radu</creator><creator>Bala, Cornelia</creator><creator>Mihai, Bogdan</creator><creator>Radulian, Gabriela</creator><creator>Roman, Gabriela</creator><creator>Timar, Romulus</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>0YH</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>7XB</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>201712</creationdate><title>Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study</title><author>Popa, Simona Georgiana ; Moţa, Maria ; Mihălţan, Florin Dumitru ; Popa, Adina ; Munteanu, Ioana ; Moţa, Eugen ; Serafinceanu, Cristian ; Guja, Cristian ; Hâncu, Nicolae ; Catrinoiu, Doina ; Lichiardopol, Radu ; Bala, Cornelia ; Mihai, Bogdan ; Radulian, Gabriela ; Roman, Gabriela ; Timar, Romulus</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c562t-5210edac749764d34553bec21c3e3afa596a6c5fa8dc3295aa622265653f5333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Blood Glucose - metabolism</topic><topic>cardiometabolic risk factors</topic><topic>Cholesterol</topic><topic>Cholesterol - blood</topic><topic>Cholesterol, HDL - blood</topic><topic>Cholesterol, LDL - blood</topic><topic>Cross-Sectional Studies</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Glycated Hemoglobin - metabolism</topic><topic>Humans</topic><topic>Hypercholesterolemia - blood</topic><topic>Hypercholesterolemia - epidemiology</topic><topic>Hypertriglyceridemia - blood</topic><topic>Hypertriglyceridemia - epidemiology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Obesity - blood</topic><topic>Obesity - epidemiology</topic><topic>Original</topic><topic>Population-based studies</topic><topic>PREDATORR study</topic><topic>Prevalence</topic><topic>Romania - epidemiology</topic><topic>Sex Factors</topic><topic>smoking</topic><topic>Smoking - epidemiology</topic><topic>Smoking Cessation</topic><topic>Triglycerides - blood</topic><topic>Vascular Diseases - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Popa, Simona Georgiana</creatorcontrib><creatorcontrib>Moţa, Maria</creatorcontrib><creatorcontrib>Mihălţan, Florin Dumitru</creatorcontrib><creatorcontrib>Popa, Adina</creatorcontrib><creatorcontrib>Munteanu, Ioana</creatorcontrib><creatorcontrib>Moţa, Eugen</creatorcontrib><creatorcontrib>Serafinceanu, Cristian</creatorcontrib><creatorcontrib>Guja, Cristian</creatorcontrib><creatorcontrib>Hâncu, Nicolae</creatorcontrib><creatorcontrib>Catrinoiu, Doina</creatorcontrib><creatorcontrib>Lichiardopol, Radu</creatorcontrib><creatorcontrib>Bala, Cornelia</creatorcontrib><creatorcontrib>Mihai, Bogdan</creatorcontrib><creatorcontrib>Radulian, Gabriela</creatorcontrib><creatorcontrib>Roman, Gabriela</creatorcontrib><creatorcontrib>Timar, Romulus</creatorcontrib><collection>Taylor & Francis Open Access</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>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</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>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>The European journal of general practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Popa, Simona Georgiana</au><au>Moţa, Maria</au><au>Mihălţan, Florin Dumitru</au><au>Popa, Adina</au><au>Munteanu, Ioana</au><au>Moţa, Eugen</au><au>Serafinceanu, Cristian</au><au>Guja, Cristian</au><au>Hâncu, Nicolae</au><au>Catrinoiu, Doina</au><au>Lichiardopol, Radu</au><au>Bala, Cornelia</au><au>Mihai, Bogdan</au><au>Radulian, Gabriela</au><au>Roman, Gabriela</au><au>Timar, Romulus</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study</atitle><jtitle>The European journal of general practice</jtitle><addtitle>Eur J Gen Pract</addtitle><date>2017-12</date><risdate>2017</risdate><volume>23</volume><issue>1</issue><spage>165</spage><epage>171</epage><pages>165-171</pages><issn>1381-4788</issn><eissn>1751-1402</eissn><abstract>Background: The impact of smoking on morbidity is well known, but in Romania, limited data are available regarding the smoking prevalence and relationship with cardiometabolic profile and kidney function.
Objectives: To assess the association of smoking with cardiometabolic traits and kidney function, in a Romanian population-based sample from the PREDATORR study.
Methods: PREDATORR was an epidemiological cross-sectional study. Between 2012 and 2014, participants were randomly selected from the lists of general practitioners and enrolled if they were aged 20 to 79 years, born and living in the past 10 years in Romania. Sociodemographic and lifestyle characteristics were collected through interviewer-administered questionnaires.
Results: Overall, 2704 participants were included in the analysis, 18% of them being current smokers and 30.8% former smokers. Current smokers compared to non-smokers had higher total cholesterol (220.6 ± 50.4 versus 213.9 ± 86.8 mg/dl, P = 0.017), LDL-cholesterol (137.8 ± 45.2 versus 130.7 ± 83.7 mg/dl, P = 0.004) and glomerular filtration rate (96.9 ± 16.8 versus 90.7 ± 19.1 ml/min/1.73 m
2
, P <0.001) in women and higher triglycerides (170.7 ± 129.8 versus 144.3 ± 94.2 mg/dl, P = 0.007), glomerular filtration rate (97.6 ± 17 versus 90.3 ± 18 ml/min/1.73 m
2
, P < 0.001) and lower HDL-cholesterol (48 ± 15.5 versus 50.4 ± 14.1 mg/dl, P = 0.002) in men. Active smoking was associated with hypercholesterolaemia [OR: 1.40 (95% CI: 1.01-1.96), P = 0.04] and low HDL-cholesterolaemia [OR: 1.39 (95% CI: 1.01-1.91), P = 0.04] and negatively associated with overweight/obesity [OR: 0.67 (95% CI: 0.48-0.94), P = 0.02]. Male former smokers had higher prevalence of abdominal obesity (82.4% versus 76.4%, P = 0.02), hypertriglyceridaemia (43.6% versus 35.6%, P = 0.01), hypertension (64% versus 56.4%, P = 0.01) and ischaemic vascular disease (40.5% versus 30.9%, P = 0.003) than male non-smokers.
Conclusion: The PREDATORR study showed a high prevalence of smoking in the adult Romanian population providing data on the association of smoking with cardiometabolic traits.</abstract><cop>England</cop><pub>Taylor & Francis</pub><pmid>28595498</pmid><doi>10.1080/13814788.2017.1324844</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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source | Taylor & Francis Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
subjects | Adult Aged Blood Glucose - metabolism cardiometabolic risk factors Cholesterol Cholesterol - blood Cholesterol, HDL - blood Cholesterol, LDL - blood Cross-Sectional Studies Epidemiology Female Glomerular Filtration Rate Glycated Hemoglobin - metabolism Humans Hypercholesterolemia - blood Hypercholesterolemia - epidemiology Hypertriglyceridemia - blood Hypertriglyceridemia - epidemiology Male Middle Aged Obesity - blood Obesity - epidemiology Original Population-based studies PREDATORR study Prevalence Romania - epidemiology Sex Factors smoking Smoking - epidemiology Smoking Cessation Triglycerides - blood Vascular Diseases - epidemiology |
title | Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study |
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