Age Differences in the Relationship between Secondhand Smoke Exposure and Risk of Metabolic Syndrome: A Meta-Analysis
Secondhand smoke (SHS), a common environmental exposure factor, has become a serious public health problem. Metabolic syndrome is another worldwide clinical challenge. Our study tried to determine the age differences in the relationship between SHS and the risk of metabolic syndrome. Studies were se...
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| Veröffentlicht in: | International journal of environmental research and public health 2019-04, Vol.16 (8), p.1409 |
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| creator | Chen, Hui-Jian Li, Gai-Ling Sun, Ao Peng, Dang-Sheng Zhang, Wan-Xia Yan, You-E |
| description | Secondhand smoke (SHS), a common environmental exposure factor, has become a serious public health problem. Metabolic syndrome is another worldwide clinical challenge. Our study tried to determine the age differences in the relationship between SHS and the risk of metabolic syndrome. Studies were searched in PubMed and Web of Science from 11 November to 30 November 2018. Eighteen studies were finally included based on inclusion and exclusion criteria. The relationship between SHS and the risk indicators of metabolic syndrome was analyzed. The weighted mean difference (WMD) of fasting plasma glucose (FPG), insulin, body mass index (BMI), and waist circumference (WC), and the standard mean difference (SMD) of total cholesterol, triglycerides, and low- and high-density lipoprotein-cholesterol (LDL-C, HDL-C) were calculated in a meta-analysis. SHS was positively associated with the level of insulin and WC. According to the subgroup analysis based on age difference, SHS was positively associated with FPG in the upper age group, and positively associated with LDL-C and negatively associated with HDL-C in the lower age group. BMI showed a more obvious positive correlation in the adults group than in the children and the teenagers group. In conclusion, the association of metabolic syndrome with SHS varies with age. When exposed to SHS, older people may be more susceptible to glucose metabolic disorder, but younger people may be more susceptible to lipid metabolic disorder. |
| doi_str_mv | 10.3390/ijerph16081409 |
| format | Article |
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Metabolic syndrome is another worldwide clinical challenge. Our study tried to determine the age differences in the relationship between SHS and the risk of metabolic syndrome. Studies were searched in PubMed and Web of Science from 11 November to 30 November 2018. Eighteen studies were finally included based on inclusion and exclusion criteria. The relationship between SHS and the risk indicators of metabolic syndrome was analyzed. The weighted mean difference (WMD) of fasting plasma glucose (FPG), insulin, body mass index (BMI), and waist circumference (WC), and the standard mean difference (SMD) of total cholesterol, triglycerides, and low- and high-density lipoprotein-cholesterol (LDL-C, HDL-C) were calculated in a meta-analysis. SHS was positively associated with the level of insulin and WC. According to the subgroup analysis based on age difference, SHS was positively associated with FPG in the upper age group, and positively associated with LDL-C and negatively associated with HDL-C in the lower age group. BMI showed a more obvious positive correlation in the adults group than in the children and the teenagers group. In conclusion, the association of metabolic syndrome with SHS varies with age. When exposed to SHS, older people may be more susceptible to glucose metabolic disorder, but younger people may be more susceptible to lipid metabolic disorder.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph16081409</identifier><identifier>PMID: 31010129</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adults ; Age differences ; Age groups ; Body mass ; Body mass index ; Body size ; Cardiovascular diseases ; Cholesterol ; Coronary artery disease ; Diabetes mellitus ; Exposure ; Health risks ; Heart diseases ; High density lipoprotein ; Insulin ; Lipids ; Low density lipoprotein ; Lung cancer ; Lung diseases ; Meta-analysis ; Metabolic disorders ; Metabolic syndrome ; Passive smoking ; Public health ; Quality ; Risk analysis ; Risk factors ; Risk management ; Smoking ; Standard deviation ; Statistical analysis ; Studies ; Subgroups ; Tobacco smoke ; Triglycerides ; Young adults</subject><ispartof>International journal of environmental research and public health, 2019-04, Vol.16 (8), p.1409</ispartof><rights>2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). 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According to the subgroup analysis based on age difference, SHS was positively associated with FPG in the upper age group, and positively associated with LDL-C and negatively associated with HDL-C in the lower age group. BMI showed a more obvious positive correlation in the adults group than in the children and the teenagers group. In conclusion, the association of metabolic syndrome with SHS varies with age. When exposed to SHS, older people may be more susceptible to glucose metabolic disorder, but younger people may be more susceptible to lipid metabolic disorder.</description><subject>Adults</subject><subject>Age differences</subject><subject>Age groups</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiovascular diseases</subject><subject>Cholesterol</subject><subject>Coronary artery disease</subject><subject>Diabetes mellitus</subject><subject>Exposure</subject><subject>Health risks</subject><subject>Heart diseases</subject><subject>High density lipoprotein</subject><subject>Insulin</subject><subject>Lipids</subject><subject>Low density lipoprotein</subject><subject>Lung cancer</subject><subject>Lung diseases</subject><subject>Meta-analysis</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Passive smoking</subject><subject>Public health</subject><subject>Quality</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Risk management</subject><subject>Smoking</subject><subject>Standard deviation</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Subgroups</subject><subject>Tobacco smoke</subject><subject>Triglycerides</subject><subject>Young adults</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdkctv1DAQxi0Eog-49lhZ4tJLil9xbA5Iq9IHUhFSF86W15k03iZ2aiel-983S0vVojnMaOY3n2b0IXRAyTHnmnz2a0hDSyVRVBD9Bu1SKUkhJKFvX9Q7aC_nNSFcCanfox1OyRxM76JpcQ34m28aSBAcZOwDHlvAV9DZ0ceQWz_gFYx_AAJegouhbm2o8bKPN4BP74eYpwR427ry-QbHBv-A0a5i5x1ebkKdYg9f8OJvt1gE222yzx_Qu8Z2GT4-5X30--z018lFcfnz_PvJ4rJwQomxqICIciWb2rma17Kqdclco8Aqq0rLHJFgRQPAK1ESqZkGpQUjlpRCVk5Rvo--PuoO06qH2kEYk-3MkHxv08ZE683rSfCtuY53RpZUkVLNAkdPAineTpBH0_vsoOtsgDhlwxjldGZLMaOf_kPXcUrzwzPFmWZMVGpLHT9SLsWcEzTPx1Bito6a147OC4cvX3jG_1nIHwADq55R</recordid><startdate>20190419</startdate><enddate>20190419</enddate><creator>Chen, Hui-Jian</creator><creator>Li, Gai-Ling</creator><creator>Sun, Ao</creator><creator>Peng, Dang-Sheng</creator><creator>Zhang, Wan-Xia</creator><creator>Yan, You-E</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9509-8693</orcidid></search><sort><creationdate>20190419</creationdate><title>Age Differences in the Relationship between Secondhand Smoke Exposure and Risk of Metabolic Syndrome: A Meta-Analysis</title><author>Chen, Hui-Jian ; Li, Gai-Ling ; Sun, Ao ; Peng, Dang-Sheng ; Zhang, Wan-Xia ; Yan, You-E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-7e045b6fdccd3d67d952cf8ea8a85a2c06ea4fee374506929e89420a05467c813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adults</topic><topic>Age differences</topic><topic>Age groups</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cardiovascular diseases</topic><topic>Cholesterol</topic><topic>Coronary artery disease</topic><topic>Diabetes mellitus</topic><topic>Exposure</topic><topic>Health risks</topic><topic>Heart diseases</topic><topic>High density lipoprotein</topic><topic>Insulin</topic><topic>Lipids</topic><topic>Low density lipoprotein</topic><topic>Lung cancer</topic><topic>Lung diseases</topic><topic>Meta-analysis</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Passive smoking</topic><topic>Public health</topic><topic>Quality</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Risk management</topic><topic>Smoking</topic><topic>Standard deviation</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Subgroups</topic><topic>Tobacco smoke</topic><topic>Triglycerides</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Hui-Jian</creatorcontrib><creatorcontrib>Li, Gai-Ling</creatorcontrib><creatorcontrib>Sun, Ao</creatorcontrib><creatorcontrib>Peng, Dang-Sheng</creatorcontrib><creatorcontrib>Zhang, Wan-Xia</creatorcontrib><creatorcontrib>Yan, You-E</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</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>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Hui-Jian</au><au>Li, Gai-Ling</au><au>Sun, Ao</au><au>Peng, Dang-Sheng</au><au>Zhang, Wan-Xia</au><au>Yan, You-E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Age Differences in the Relationship between Secondhand Smoke Exposure and Risk of Metabolic Syndrome: A Meta-Analysis</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2019-04-19</date><risdate>2019</risdate><volume>16</volume><issue>8</issue><spage>1409</spage><pages>1409-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>Secondhand smoke (SHS), a common environmental exposure factor, has become a serious public health problem. Metabolic syndrome is another worldwide clinical challenge. Our study tried to determine the age differences in the relationship between SHS and the risk of metabolic syndrome. Studies were searched in PubMed and Web of Science from 11 November to 30 November 2018. Eighteen studies were finally included based on inclusion and exclusion criteria. The relationship between SHS and the risk indicators of metabolic syndrome was analyzed. The weighted mean difference (WMD) of fasting plasma glucose (FPG), insulin, body mass index (BMI), and waist circumference (WC), and the standard mean difference (SMD) of total cholesterol, triglycerides, and low- and high-density lipoprotein-cholesterol (LDL-C, HDL-C) were calculated in a meta-analysis. SHS was positively associated with the level of insulin and WC. According to the subgroup analysis based on age difference, SHS was positively associated with FPG in the upper age group, and positively associated with LDL-C and negatively associated with HDL-C in the lower age group. BMI showed a more obvious positive correlation in the adults group than in the children and the teenagers group. In conclusion, the association of metabolic syndrome with SHS varies with age. When exposed to SHS, older people may be more susceptible to glucose metabolic disorder, but younger people may be more susceptible to lipid metabolic disorder.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>31010129</pmid><doi>10.3390/ijerph16081409</doi><orcidid>https://orcid.org/0000-0001-9509-8693</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adults Age differences Age groups Body mass Body mass index Body size Cardiovascular diseases Cholesterol Coronary artery disease Diabetes mellitus Exposure Health risks Heart diseases High density lipoprotein Insulin Lipids Low density lipoprotein Lung cancer Lung diseases Meta-analysis Metabolic disorders Metabolic syndrome Passive smoking Public health Quality Risk analysis Risk factors Risk management Smoking Standard deviation Statistical analysis Studies Subgroups Tobacco smoke Triglycerides Young adults |
| title | Age Differences in the Relationship between Secondhand Smoke Exposure and Risk of Metabolic Syndrome: A Meta-Analysis |
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