The associations between smoking and obesity in northeast China: a quantile regression analysis
Obesity is a risk factors of chronic diseases, and smoking is associated with both chronic diseases and obesity. There were some controversies about the associations between smoking and obesity. Thus, our study aimed to explore the associations of smoking with obesity, using body mass index (BMI) an...
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| Veröffentlicht in: | Scientific reports 2019-03, Vol.9 (1), p.3732, Article 3732 |
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| description | Obesity is a risk factors of chronic diseases, and smoking is associated with both chronic diseases and obesity. There were some controversies about the associations between smoking and obesity. Thus, our study aimed to explore the associations of smoking with obesity, using body mass index (BMI) and waist circumference (WC) as obesity indices in northeast China. We enrolled a sample of 16,412 participants in Jilin province aged 18–79 in this study, which were derived from a cross-sectional survey in 2012. We used quantile regression (QR) models to identify the associations of smoking with obesity in different quantiles of BMI (or WC) by genders. The differences of BMI and WC by genders were statistically significant (
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| doi_str_mv | 10.1038/s41598-019-39425-6 |
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p
< 0.05). In conclusion, compared with current non-smokers, current smokers had lower BMI but higher WC. As increasing of WC, the association of WC with smoking was getting stronger, especially in females.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-019-39425-6</identifier><identifier>PMID: 30872597</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/499 ; 692/700 ; Adolescent ; Adult ; Aged ; Aged, 80 and over ; Body Mass Index ; China ; Chronic illnesses ; Cross-Sectional Studies ; Female ; Humanities and Social Sciences ; Humans ; Male ; Middle Aged ; multidisciplinary ; Obesity ; Obesity - etiology ; Obesity - physiopathology ; Regression Analysis ; Risk Factors ; Science ; Science (multidisciplinary) ; Sex differences ; Smoking ; Statistical analysis ; Tobacco Smoking - adverse effects ; Waist Circumference - physiology ; Young Adult</subject><ispartof>Scientific reports, 2019-03, Vol.9 (1), p.3732, Article 3732</ispartof><rights>The Author(s) 2019</rights><rights>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-c588t-39c8ab8d8b0491415d6d5fa43a60cd125997662948e8d15783677e812460d2cc3</citedby><cites>FETCH-LOGICAL-c588t-39c8ab8d8b0491415d6d5fa43a60cd125997662948e8d15783677e812460d2cc3</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/PMC6418137/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418137/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30872597$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sun, Mengzi</creatorcontrib><creatorcontrib>Jiang, Yan</creatorcontrib><creatorcontrib>Sun, Chong</creatorcontrib><creatorcontrib>Li, Jiagen</creatorcontrib><creatorcontrib>Guo, Xin</creatorcontrib><creatorcontrib>Lv, Yaogai</creatorcontrib><creatorcontrib>Yu, Yaqin</creatorcontrib><creatorcontrib>Yao, Yan</creatorcontrib><creatorcontrib>Jin, Lina</creatorcontrib><title>The associations between smoking and obesity in northeast China: a quantile regression analysis</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Obesity is a risk factors of chronic diseases, and smoking is associated with both chronic diseases and obesity. There were some controversies about the associations between smoking and obesity. Thus, our study aimed to explore the associations of smoking with obesity, using body mass index (BMI) and waist circumference (WC) as obesity indices in northeast China. We enrolled a sample of 16,412 participants in Jilin province aged 18–79 in this study, which were derived from a cross-sectional survey in 2012. We used quantile regression (QR) models to identify the associations of smoking with obesity in different quantiles of BMI (or WC) by genders. The differences of BMI and WC by genders were statistically significant (
p
< 0.05). In conclusion, compared with current non-smokers, current smokers had lower BMI but higher WC. As increasing of WC, the association of WC with smoking was getting stronger, especially in females.</description><subject>692/499</subject><subject>692/700</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Body Mass Index</subject><subject>China</subject><subject>Chronic illnesses</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Obesity</subject><subject>Obesity - etiology</subject><subject>Obesity - physiopathology</subject><subject>Regression Analysis</subject><subject>Risk Factors</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Sex differences</subject><subject>Smoking</subject><subject>Statistical analysis</subject><subject>Tobacco Smoking - adverse effects</subject><subject>Waist Circumference - physiology</subject><subject>Young Adult</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kT9vFDEQxS0EIlHIF6BAlmhoNvj_2hRI6AQBKRJNqC2vd-7OYc9OPLtB9-0xuRACBW5saX7zZp4fIS85O-NM2reouHa2Y9x10imhO_OEHAumdCekEE8fvY_IKeIVa0cLp7h7To4ks73Qrj8m_nILNCCWmMKcSkY6wPwDIFPcle8pb2jIIy0DYJr3NGWaS523EHCmq23K4R0N9GYJeU4T0AqbCohNpnWFaY8JX5Bn6zAhnN7fJ-Tbp4-Xq8_dxdfzL6sPF13U1s7NQrRhsKMdmHK8WRvNqNdByWBYHHnb1fXGtPUt2JHr3krT92C5UIaNIkZ5Qt4fdK-XYQdjhDzXMPnrmnah7n0Jyf9dyWnrN-XWG8Utl30TeHMvUMvNAjj7XcII0xQylAW94E5yo5zgDX39D3pVltoM31Fctm-2ulHiQMVaECusH5bhzP-K0B8i9C1CfxehN63p1WMbDy2_A2uAPADYSnkD9c_s_8j-BJ0Gp2g</recordid><startdate>20190314</startdate><enddate>20190314</enddate><creator>Sun, Mengzi</creator><creator>Jiang, Yan</creator><creator>Sun, Chong</creator><creator>Li, Jiagen</creator><creator>Guo, Xin</creator><creator>Lv, Yaogai</creator><creator>Yu, Yaqin</creator><creator>Yao, Yan</creator><creator>Jin, Lina</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</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>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190314</creationdate><title>The associations between smoking and obesity in northeast China: a quantile regression analysis</title><author>Sun, Mengzi ; 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There were some controversies about the associations between smoking and obesity. Thus, our study aimed to explore the associations of smoking with obesity, using body mass index (BMI) and waist circumference (WC) as obesity indices in northeast China. We enrolled a sample of 16,412 participants in Jilin province aged 18–79 in this study, which were derived from a cross-sectional survey in 2012. We used quantile regression (QR) models to identify the associations of smoking with obesity in different quantiles of BMI (or WC) by genders. The differences of BMI and WC by genders were statistically significant (
p
< 0.05). In conclusion, compared with current non-smokers, current smokers had lower BMI but higher WC. As increasing of WC, the association of WC with smoking was getting stronger, especially in females.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30872597</pmid><doi>10.1038/s41598-019-39425-6</doi><oa>free_for_read</oa></addata></record> |
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| subjects | 692/499 692/700 Adolescent Adult Aged Aged, 80 and over Body Mass Index China Chronic illnesses Cross-Sectional Studies Female Humanities and Social Sciences Humans Male Middle Aged multidisciplinary Obesity Obesity - etiology Obesity - physiopathology Regression Analysis Risk Factors Science Science (multidisciplinary) Sex differences Smoking Statistical analysis Tobacco Smoking - adverse effects Waist Circumference - physiology Young Adult |
| title | The associations between smoking and obesity in northeast China: a quantile regression analysis |
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