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Low dose organochlorine pesticides and polychlorinated biphenyls predict obesity, dyslipidemia, and insulin resistance among people free of diabetes
There is emerging evidence that background exposure to persistent organic pollutants (POPs) are important in the development of conditions predisposing to diabetes as well as of type 2 diabetes itself. We recently reported that low dose POPs predicted incident type 2 diabetes in a nested case-contro...
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Published in: | PloS one 2011-01, Vol.6 (1), p.e15977 |
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description | There is emerging evidence that background exposure to persistent organic pollutants (POPs) are important in the development of conditions predisposing to diabetes as well as of type 2 diabetes itself. We recently reported that low dose POPs predicted incident type 2 diabetes in a nested case-control study. The current study examined if low dose POPs predicted future adiposity, dyslipidemia, and insulin resistance among controls without diabetes in that study.
The 90 controls were diabetes-free during 20 years follow-up. They were a stratified random sample, enriched with overweight and obese persons. POPs measured in 1987-88 (year 2) sera included 8 organochlorine (OC) pesticides, 22 polychlorinated biphenyls (PCBs), and 1 polybrominated biphenyl (PBB). Body mass index (BMI), triglycerides, HDL-cholesterol, LDL-cholesterol, and homeostasis model assessment value for insulin resistance (HOMA-IR) were study outcomes at 2005-06 (year 20). The evolution of study outcomes during 18 years by categories of serum concentrations of POPs at year 2 was evaluated by adjusting for the baseline values of outcomes plus potential confounders. Parallel to prediction of type 2 diabetes, many statistically significant associations of POPs with dysmetabolic conditions appeared at low dose, forming inverted U-shaped dose-response relations. Among OC pesticides, p,p'-DDE most consistently predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 after adjusting for baseline values. Oxychlordane, trans-nonachlor, and hexachlorobenzene also significantly predicted higher triglycerides. Persistent PCBs with ≥7 chlorides predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 with similar dose-response curves.
Simultaneous exposure to various POPs in the general population may contribute to development of obesity, dyslipidemia, and insulin resistance, common precursors of type 2 diabetes and cardiovascular diseases. Although obesity is a primary cause of these metabolic abnormalities, POPs exposure may contribute to excess adiposity and other features of dysmetabolism. |
doi_str_mv | 10.1371/journal.pone.0015977 |
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The 90 controls were diabetes-free during 20 years follow-up. They were a stratified random sample, enriched with overweight and obese persons. POPs measured in 1987-88 (year 2) sera included 8 organochlorine (OC) pesticides, 22 polychlorinated biphenyls (PCBs), and 1 polybrominated biphenyl (PBB). Body mass index (BMI), triglycerides, HDL-cholesterol, LDL-cholesterol, and homeostasis model assessment value for insulin resistance (HOMA-IR) were study outcomes at 2005-06 (year 20). The evolution of study outcomes during 18 years by categories of serum concentrations of POPs at year 2 was evaluated by adjusting for the baseline values of outcomes plus potential confounders. Parallel to prediction of type 2 diabetes, many statistically significant associations of POPs with dysmetabolic conditions appeared at low dose, forming inverted U-shaped dose-response relations. Among OC pesticides, p,p'-DDE most consistently predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 after adjusting for baseline values. Oxychlordane, trans-nonachlor, and hexachlorobenzene also significantly predicted higher triglycerides. Persistent PCBs with ≥7 chlorides predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 with similar dose-response curves.
Simultaneous exposure to various POPs in the general population may contribute to development of obesity, dyslipidemia, and insulin resistance, common precursors of type 2 diabetes and cardiovascular diseases. Although obesity is a primary cause of these metabolic abnormalities, POPs exposure may contribute to excess adiposity and other features of dysmetabolism.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0015977</identifier><identifier>PMID: 21298090</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abnormalities ; Adipose tissue ; Adult ; Agrochemicals ; Biphenyl ; Bisphenol-A ; Blood ; Blood cholesterol ; Body mass ; Body mass index ; Body size ; Body weight ; Cardiorespiratory ; Cardiovascular diseases ; Case-Control Studies ; Chlorides ; Chlorinated solvents ; Cholesterol ; DDE ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus, Type 2 ; Diabetes therapy ; Dyslipidemia ; Dyslipidemias - etiology ; Environmental Exposure - adverse effects ; Environmental Pollutants - blood ; Environmental Pollutants - toxicity ; Evaluation ; Exposure ; Female ; Health risk assessment ; Heart diseases ; Hexachlorobenzene ; High density lipoprotein ; Homeostasis ; Hormones ; Humans ; Hydrocarbons, Chlorinated - toxicity ; Insulin ; Insulin Resistance ; Low density lipoprotein ; Low density lipoproteins ; Male ; Measurement ; Medicine ; Metabolic disorders ; Nitrous oxide ; Obesity ; Obesity - etiology ; Organic compounds ; Organochlorine pesticides ; Overweight ; Oxychlordane ; PCB ; PCB compounds ; Persistent organic pollutants ; Pesticides ; Pesticides - blood ; Pesticides - toxicity ; Pollutants ; Polychlorinated biphenyls ; Polychlorinated Biphenyls - blood ; Polychlorinated Biphenyls - toxicity ; Predictive control ; Risk Factors ; Statistical analysis ; Statistics ; Triglycerides ; Type 2 diabetes ; Young Adult</subject><ispartof>PloS one, 2011-01, Vol.6 (1), p.e15977</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>2011 Lee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Lee et al. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c7057-a23ed90d153b9eae3cbd7bb59d7d258090b0c010113cee3ea062a23a55a07db23</citedby><cites>FETCH-LOGICAL-c7057-a23ed90d153b9eae3cbd7bb59d7d258090b0c010113cee3ea062a23a55a07db23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1294308303/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1294308303?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21298090$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Pan, Xiaoping</contributor><creatorcontrib>Lee, Duk-Hee</creatorcontrib><creatorcontrib>Steffes, Michael W</creatorcontrib><creatorcontrib>Sjödin, Andreas</creatorcontrib><creatorcontrib>Jones, Richard S</creatorcontrib><creatorcontrib>Needham, Larry L</creatorcontrib><creatorcontrib>Jacobs, Jr, David R</creatorcontrib><title>Low dose organochlorine pesticides and polychlorinated biphenyls predict obesity, dyslipidemia, and insulin resistance among people free of diabetes</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>There is emerging evidence that background exposure to persistent organic pollutants (POPs) are important in the development of conditions predisposing to diabetes as well as of type 2 diabetes itself. We recently reported that low dose POPs predicted incident type 2 diabetes in a nested case-control study. The current study examined if low dose POPs predicted future adiposity, dyslipidemia, and insulin resistance among controls without diabetes in that study.
The 90 controls were diabetes-free during 20 years follow-up. They were a stratified random sample, enriched with overweight and obese persons. POPs measured in 1987-88 (year 2) sera included 8 organochlorine (OC) pesticides, 22 polychlorinated biphenyls (PCBs), and 1 polybrominated biphenyl (PBB). Body mass index (BMI), triglycerides, HDL-cholesterol, LDL-cholesterol, and homeostasis model assessment value for insulin resistance (HOMA-IR) were study outcomes at 2005-06 (year 20). The evolution of study outcomes during 18 years by categories of serum concentrations of POPs at year 2 was evaluated by adjusting for the baseline values of outcomes plus potential confounders. Parallel to prediction of type 2 diabetes, many statistically significant associations of POPs with dysmetabolic conditions appeared at low dose, forming inverted U-shaped dose-response relations. Among OC pesticides, p,p'-DDE most consistently predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 after adjusting for baseline values. Oxychlordane, trans-nonachlor, and hexachlorobenzene also significantly predicted higher triglycerides. Persistent PCBs with ≥7 chlorides predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 with similar dose-response curves.
Simultaneous exposure to various POPs in the general population may contribute to development of obesity, dyslipidemia, and insulin resistance, common precursors of type 2 diabetes and cardiovascular diseases. Although obesity is a primary cause of these metabolic abnormalities, POPs exposure may contribute to excess adiposity and other features of dysmetabolism.</description><subject>Abnormalities</subject><subject>Adipose tissue</subject><subject>Adult</subject><subject>Agrochemicals</subject><subject>Biphenyl</subject><subject>Bisphenol-A</subject><subject>Blood</subject><subject>Blood cholesterol</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Cardiorespiratory</subject><subject>Cardiovascular diseases</subject><subject>Case-Control Studies</subject><subject>Chlorides</subject><subject>Chlorinated solvents</subject><subject>Cholesterol</subject><subject>DDE</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus, Type 2</subject><subject>Diabetes therapy</subject><subject>Dyslipidemia</subject><subject>Dyslipidemias - etiology</subject><subject>Environmental Exposure - adverse effects</subject><subject>Environmental Pollutants - blood</subject><subject>Environmental Pollutants - toxicity</subject><subject>Evaluation</subject><subject>Exposure</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Heart diseases</subject><subject>Hexachlorobenzene</subject><subject>High density lipoprotein</subject><subject>Homeostasis</subject><subject>Hormones</subject><subject>Humans</subject><subject>Hydrocarbons, Chlorinated - toxicity</subject><subject>Insulin</subject><subject>Insulin Resistance</subject><subject>Low density lipoprotein</subject><subject>Low density lipoproteins</subject><subject>Male</subject><subject>Measurement</subject><subject>Medicine</subject><subject>Metabolic disorders</subject><subject>Nitrous oxide</subject><subject>Obesity</subject><subject>Obesity - etiology</subject><subject>Organic compounds</subject><subject>Organochlorine pesticides</subject><subject>Overweight</subject><subject>Oxychlordane</subject><subject>PCB</subject><subject>PCB compounds</subject><subject>Persistent organic pollutants</subject><subject>Pesticides</subject><subject>Pesticides - blood</subject><subject>Pesticides - toxicity</subject><subject>Pollutants</subject><subject>Polychlorinated biphenyls</subject><subject>Polychlorinated Biphenyls - blood</subject><subject>Polychlorinated Biphenyls - toxicity</subject><subject>Predictive control</subject><subject>Risk Factors</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Triglycerides</subject><subject>Type 2 diabetes</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QDgijsjPlom-mNsCx-DAws-HUb0uR0JkMm6SatOv_DH2y6012mshfSi5b0ed_T856eLHtO8JwwTt5tfR-ctPPWO5hjTIqK8wfZKakYnZUUs4dHzyfZkxi3GBdsUZaPsxNKaLXAFT7N_qz8L6R9BOTDWjqvNtYH4wC1EDujjIaIpNOo9XY_vpMdaFSbdgNubyNqA2ijOuRriKbbnyO9j9a0Sbkz8vxGbFzsrXEoJCJ20ilAcufdOhXxrQXUBEj1G6SNrKGD-DR71Egb4dl4P8u-f_zw7fLzbHX1aXl5sZopjgs-k5SBrrAmBasrkMBUrXldF5XmmhZDfzVWmGBCmAJgIHFJk0YWhcRc15SdZS8Pvq31UYyBRpHCyRleMMwSsTwQ2sutaIPZybAXXhpxc5AyEzKknCyIhdK4rMpc5w3JF7SqOKZFqTAt87zguU5e78dqfb0DrcB1QdqJ6fSNMxux9j8Fw5SXtEwGb0aD4K_7NB-xM1GBtdKB79N3p07TZHOWJ_TVP-j93Y3UWqYGjGt8qqsGU3GR87LCJV8MKc3vodI1TFilv68x6XwieDsRJKaD391a9jGK5dcv_89e_Ziyr4_YDUjbbaK3fWe8i1MwP4Aq-BgDNHchEyyG5blNQwzLI8blSbIXxwO6E91uC_sL3ksWnw</recordid><startdate>20110126</startdate><enddate>20110126</enddate><creator>Lee, Duk-Hee</creator><creator>Steffes, Michael W</creator><creator>Sjödin, Andreas</creator><creator>Jones, Richard S</creator><creator>Needham, Larry L</creator><creator>Jacobs, Jr, David R</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7TS</scope><scope>7U7</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20110126</creationdate><title>Low dose organochlorine pesticides and polychlorinated biphenyls predict obesity, dyslipidemia, and insulin resistance among people free of diabetes</title><author>Lee, Duk-Hee ; Steffes, Michael W ; Sjödin, Andreas ; Jones, Richard S ; Needham, Larry L ; Jacobs, Jr, David R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c7057-a23ed90d153b9eae3cbd7bb59d7d258090b0c010113cee3ea062a23a55a07db23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Abnormalities</topic><topic>Adipose tissue</topic><topic>Adult</topic><topic>Agrochemicals</topic><topic>Biphenyl</topic><topic>Bisphenol-A</topic><topic>Blood</topic><topic>Blood cholesterol</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Cardiorespiratory</topic><topic>Cardiovascular diseases</topic><topic>Case-Control Studies</topic><topic>Chlorides</topic><topic>Chlorinated solvents</topic><topic>Cholesterol</topic><topic>DDE</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus, Type 2</topic><topic>Diabetes therapy</topic><topic>Dyslipidemia</topic><topic>Dyslipidemias - 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Duk-Hee</au><au>Steffes, Michael W</au><au>Sjödin, Andreas</au><au>Jones, Richard S</au><au>Needham, Larry L</au><au>Jacobs, Jr, David R</au><au>Pan, Xiaoping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Low dose organochlorine pesticides and polychlorinated biphenyls predict obesity, dyslipidemia, and insulin resistance among people free of diabetes</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2011-01-26</date><risdate>2011</risdate><volume>6</volume><issue>1</issue><spage>e15977</spage><pages>e15977-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>There is emerging evidence that background exposure to persistent organic pollutants (POPs) are important in the development of conditions predisposing to diabetes as well as of type 2 diabetes itself. We recently reported that low dose POPs predicted incident type 2 diabetes in a nested case-control study. The current study examined if low dose POPs predicted future adiposity, dyslipidemia, and insulin resistance among controls without diabetes in that study.
The 90 controls were diabetes-free during 20 years follow-up. They were a stratified random sample, enriched with overweight and obese persons. POPs measured in 1987-88 (year 2) sera included 8 organochlorine (OC) pesticides, 22 polychlorinated biphenyls (PCBs), and 1 polybrominated biphenyl (PBB). Body mass index (BMI), triglycerides, HDL-cholesterol, LDL-cholesterol, and homeostasis model assessment value for insulin resistance (HOMA-IR) were study outcomes at 2005-06 (year 20). The evolution of study outcomes during 18 years by categories of serum concentrations of POPs at year 2 was evaluated by adjusting for the baseline values of outcomes plus potential confounders. Parallel to prediction of type 2 diabetes, many statistically significant associations of POPs with dysmetabolic conditions appeared at low dose, forming inverted U-shaped dose-response relations. Among OC pesticides, p,p'-DDE most consistently predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 after adjusting for baseline values. Oxychlordane, trans-nonachlor, and hexachlorobenzene also significantly predicted higher triglycerides. Persistent PCBs with ≥7 chlorides predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 with similar dose-response curves.
Simultaneous exposure to various POPs in the general population may contribute to development of obesity, dyslipidemia, and insulin resistance, common precursors of type 2 diabetes and cardiovascular diseases. Although obesity is a primary cause of these metabolic abnormalities, POPs exposure may contribute to excess adiposity and other features of dysmetabolism.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21298090</pmid><doi>10.1371/journal.pone.0015977</doi><tpages>e15977</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2011-01, Vol.6 (1), p.e15977 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1294308303 |
source | Publicly Available Content Database; PubMed Central |
subjects | Abnormalities Adipose tissue Adult Agrochemicals Biphenyl Bisphenol-A Blood Blood cholesterol Body mass Body mass index Body size Body weight Cardiorespiratory Cardiovascular diseases Case-Control Studies Chlorides Chlorinated solvents Cholesterol DDE Diabetes Diabetes mellitus Diabetes Mellitus, Type 2 Diabetes therapy Dyslipidemia Dyslipidemias - etiology Environmental Exposure - adverse effects Environmental Pollutants - blood Environmental Pollutants - toxicity Evaluation Exposure Female Health risk assessment Heart diseases Hexachlorobenzene High density lipoprotein Homeostasis Hormones Humans Hydrocarbons, Chlorinated - toxicity Insulin Insulin Resistance Low density lipoprotein Low density lipoproteins Male Measurement Medicine Metabolic disorders Nitrous oxide Obesity Obesity - etiology Organic compounds Organochlorine pesticides Overweight Oxychlordane PCB PCB compounds Persistent organic pollutants Pesticides Pesticides - blood Pesticides - toxicity Pollutants Polychlorinated biphenyls Polychlorinated Biphenyls - blood Polychlorinated Biphenyls - toxicity Predictive control Risk Factors Statistical analysis Statistics Triglycerides Type 2 diabetes Young Adult |
title | Low dose organochlorine pesticides and polychlorinated biphenyls predict obesity, dyslipidemia, and insulin resistance among people free of diabetes |
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