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Stunted at 10 Years. Linear Growth Trajectories and Stunting from Birth to Pre-Adolescence in a Rural Bangladeshi Cohort
Few studies in low-income settings analyse linear growth trajectories from foetal life to pre-adolescence. The aim of this study is to describe linear growth and stunting from birth to 10 years in rural Bangladesh and to analyse whether maternal and environmental determinants at conception are assoc...
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| Published in: | PloS one 2016-03, Vol.11 (3), p.e0149700 |
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| container_start_page | e0149700 |
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| creator | Svefors, Pernilla Rahman, Anisur Ekström, Eva-Charlotte Khan, Ashraful Islam Lindström, Emma Persson, Lars Åke Ekholm Selling, Katarina |
| description | Few studies in low-income settings analyse linear growth trajectories from foetal life to pre-adolescence. The aim of this study is to describe linear growth and stunting from birth to 10 years in rural Bangladesh and to analyse whether maternal and environmental determinants at conception are associated with linear growth throughout childhood and stunting at 10 years.
Pregnant women participating in the MINIMat trial were identified in early pregnancy and a birth cohort (n = 1054) was followed with 19 growth measurements from birth to 10 years. Analyses of baseline predictors and mean height-for-age Z-scores (HAZ) over time were modelled using GLMM. Logistic regression analysis was used to investigate the associations between baseline predictors and stunting (HAZ |
| doi_str_mv | 10.1371/journal.pone.0149700 |
| format | article |
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Pregnant women participating in the MINIMat trial were identified in early pregnancy and a birth cohort (n = 1054) was followed with 19 growth measurements from birth to 10 years. Analyses of baseline predictors and mean height-for-age Z-scores (HAZ) over time were modelled using GLMM. Logistic regression analysis was used to investigate the associations between baseline predictors and stunting (HAZ<-2) at 10 years. HAZ decreased to 2 years, followed by an increase up to 10 years, while the average height-for-age difference in cm (HAD) to the WHO reference median continued to increase up to 10 years. Prevalence of stunting was highest at 2 years (50%) decreasing to 29% at 10 years. Maternal height, maternal educational level and season of conception were all independent predictors of HAZ from birth to pre-adolescence (p<0.001) and stunting at 10 years. The highest probability to be stunted at 10 years was for children born by short mothers (<147.5 cm) (ORadj 2.93, 95% CI: 2.06-4.20), mothers with no education (ORadj 1.74, 95% CI 1.17-2.81) or those conceived in the pre-monsoon season (ORadj 1.94, 95% CI 1.37-2.77).
Height growth trajectories and prevalence of stunting in pre-adolescence showed strong intergenerational associations, social differentials, and environmental influence from foetal life. Targeting women before and during pregnancy is needed for the prevention of impaired child growth.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0149700</identifier><identifier>PMID: 26934484</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescence ; Adolescent ; Adolescents ; Adult ; Age ; Anemia ; Bangladesh - epidemiology ; Biology and Life Sciences ; Body Height - physiology ; Body measurements ; Child ; Child development ; Child, Preschool ; Childbirth & labor ; Children ; Children & youth ; Childrens health ; Cognitive development ; Demographic aspects ; Differentials ; Disease ; Education ; Ethnicity ; Female ; Follow-Up Studies ; Food ; Growth ; Growth Disorders - epidemiology ; Health surveillance ; Heat affected zone ; Humans ; Identification methods ; Infant ; Infant, Newborn ; Male ; Malnutrition ; Maternal & child health ; Medicine and Health Sciences ; Monsoons ; Mortality ; Mothers ; Nutrition ; Parent educational background ; People and Places ; Physical growth ; Physiological aspects ; Physiological Phenomena - physiology ; Pregnancy ; Prevalence ; Public health ; Regression analysis ; Risk factors ; Rural environments ; Rural Population ; Social Sciences ; Society ; Socioeconomic Factors ; Statistical analysis ; Studies ; Surveillance ; Teenagers ; Trajectory analysis ; Womens health</subject><ispartof>PloS one, 2016-03, Vol.11 (3), p.e0149700</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Svefors et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://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>2016 Svefors et al 2016 Svefors et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c729t-73f3124758b75588aba889f5ad818e34dcfe030e5b84dc95c67090145a3836be3</citedby><cites>FETCH-LOGICAL-c729t-73f3124758b75588aba889f5ad818e34dcfe030e5b84dc95c67090145a3836be3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1769997862/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1769997862?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26934484$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280082$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Carpenter, David O.</contributor><creatorcontrib>Svefors, Pernilla</creatorcontrib><creatorcontrib>Rahman, Anisur</creatorcontrib><creatorcontrib>Ekström, Eva-Charlotte</creatorcontrib><creatorcontrib>Khan, Ashraful Islam</creatorcontrib><creatorcontrib>Lindström, Emma</creatorcontrib><creatorcontrib>Persson, Lars Åke</creatorcontrib><creatorcontrib>Ekholm Selling, Katarina</creatorcontrib><title>Stunted at 10 Years. Linear Growth Trajectories and Stunting from Birth to Pre-Adolescence in a Rural Bangladeshi Cohort</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Few studies in low-income settings analyse linear growth trajectories from foetal life to pre-adolescence. The aim of this study is to describe linear growth and stunting from birth to 10 years in rural Bangladesh and to analyse whether maternal and environmental determinants at conception are associated with linear growth throughout childhood and stunting at 10 years.
Pregnant women participating in the MINIMat trial were identified in early pregnancy and a birth cohort (n = 1054) was followed with 19 growth measurements from birth to 10 years. Analyses of baseline predictors and mean height-for-age Z-scores (HAZ) over time were modelled using GLMM. Logistic regression analysis was used to investigate the associations between baseline predictors and stunting (HAZ<-2) at 10 years. HAZ decreased to 2 years, followed by an increase up to 10 years, while the average height-for-age difference in cm (HAD) to the WHO reference median continued to increase up to 10 years. Prevalence of stunting was highest at 2 years (50%) decreasing to 29% at 10 years. Maternal height, maternal educational level and season of conception were all independent predictors of HAZ from birth to pre-adolescence (p<0.001) and stunting at 10 years. The highest probability to be stunted at 10 years was for children born by short mothers (<147.5 cm) (ORadj 2.93, 95% CI: 2.06-4.20), mothers with no education (ORadj 1.74, 95% CI 1.17-2.81) or those conceived in the pre-monsoon season (ORadj 1.94, 95% CI 1.37-2.77).
Height growth trajectories and prevalence of stunting in pre-adolescence showed strong intergenerational associations, social differentials, and environmental influence from foetal life. Targeting women before and during pregnancy is needed for the prevention of impaired child growth.</description><subject>Adolescence</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adult</subject><subject>Age</subject><subject>Anemia</subject><subject>Bangladesh - epidemiology</subject><subject>Biology and Life Sciences</subject><subject>Body Height - physiology</subject><subject>Body measurements</subject><subject>Child</subject><subject>Child development</subject><subject>Child, Preschool</subject><subject>Childbirth & labor</subject><subject>Children</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Cognitive development</subject><subject>Demographic aspects</subject><subject>Differentials</subject><subject>Disease</subject><subject>Education</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Food</subject><subject>Growth</subject><subject>Growth Disorders - epidemiology</subject><subject>Health surveillance</subject><subject>Heat affected zone</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Malnutrition</subject><subject>Maternal & child health</subject><subject>Medicine and Health Sciences</subject><subject>Monsoons</subject><subject>Mortality</subject><subject>Mothers</subject><subject>Nutrition</subject><subject>Parent educational background</subject><subject>People and Places</subject><subject>Physical growth</subject><subject>Physiological aspects</subject><subject>Physiological Phenomena - physiology</subject><subject>Pregnancy</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Rural environments</subject><subject>Rural Population</subject><subject>Social Sciences</subject><subject>Society</subject><subject>Socioeconomic Factors</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Surveillance</subject><subject>Teenagers</subject><subject>Trajectory analysis</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk-Fr1DAYxosobk7_A9GAIAjemTZpmnwRblPnwcFkmwM_hTR928vRa84kdfO_N3fXjSsoSD7kJfk9T5KHvEnyMsXTlBTph5XtXafa6cZ2MMUpFQXGj5LjVJBswjJMHh_UR8kz71cY54Qz9jQ5ypgglHJ6nNxdhb4LUCEVUIrRD1DOT9HCdLFA587ehiW6dmoFOlhnwCPVVWinMV2DamfX6NS4CAWLvjmYzCrbgtfQaUCmQwpd9k616FR1Tasq8EuDzuzSuvA8eVKr1sOLYT5Jvn_5fH32dbK4OJ-fzRYTXWQiTApSkzSjRc7LIs85V6XiXNS5qnjKgdBK14AJhrzksRa5ZgUWMY1cEU5YCeQkeb333bTWyyE0L9OCCSEKzrJIzPdEZdVKbpxZK_dbWmXkbsG6RioXjG5BkpJBKpQALDQl8SIMGHCOMVW5LmsWvd7vvfwtbPpy5PbJ3Mx2bn0vs6jh26M_DpfryzVUMbYQ0xqpxjudWcrG_pK0KHKc0WjwZjBw9mcPPvzjhQPVqPgI09U2mum18VrOaPwHBU351mv6FyqOCtZGx19Wm7g-ErwbCSIT4C40qvdezq8u_5-9uBmzbw_YJag2LL1t-2Bs58cg3YPaWe8d1A_JpVhum-Q-DbltEjk0SZS9Okz9QXTfFeQPb6sL0w</recordid><startdate>20160302</startdate><enddate>20160302</enddate><creator>Svefors, Pernilla</creator><creator>Rahman, Anisur</creator><creator>Ekström, Eva-Charlotte</creator><creator>Khan, Ashraful Islam</creator><creator>Lindström, Emma</creator><creator>Persson, Lars Åke</creator><creator>Ekholm Selling, Katarina</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>5PM</scope><scope>ACNBI</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>DF2</scope><scope>ZZAVC</scope><scope>DOA</scope></search><sort><creationdate>20160302</creationdate><title>Stunted at 10 Years. Linear Growth Trajectories and Stunting from Birth to Pre-Adolescence in a Rural Bangladeshi Cohort</title><author>Svefors, Pernilla ; Rahman, Anisur ; Ekström, Eva-Charlotte ; Khan, Ashraful Islam ; Lindström, Emma ; Persson, Lars Åke ; Ekholm Selling, Katarina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c729t-73f3124758b75588aba889f5ad818e34dcfe030e5b84dc95c67090145a3836be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescence</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adult</topic><topic>Age</topic><topic>Anemia</topic><topic>Bangladesh - epidemiology</topic><topic>Biology and Life Sciences</topic><topic>Body Height - physiology</topic><topic>Body measurements</topic><topic>Child</topic><topic>Child development</topic><topic>Child, Preschool</topic><topic>Childbirth & labor</topic><topic>Children</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Cognitive development</topic><topic>Demographic aspects</topic><topic>Differentials</topic><topic>Disease</topic><topic>Education</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Food</topic><topic>Growth</topic><topic>Growth Disorders - epidemiology</topic><topic>Health surveillance</topic><topic>Heat affected zone</topic><topic>Humans</topic><topic>Identification methods</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Malnutrition</topic><topic>Maternal & child health</topic><topic>Medicine and Health Sciences</topic><topic>Monsoons</topic><topic>Mortality</topic><topic>Mothers</topic><topic>Nutrition</topic><topic>Parent educational background</topic><topic>People and Places</topic><topic>Physical growth</topic><topic>Physiological aspects</topic><topic>Physiological Phenomena - physiology</topic><topic>Pregnancy</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Rural environments</topic><topic>Rural Population</topic><topic>Social Sciences</topic><topic>Society</topic><topic>Socioeconomic Factors</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Surveillance</topic><topic>Teenagers</topic><topic>Trajectory analysis</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Svefors, Pernilla</creatorcontrib><creatorcontrib>Rahman, Anisur</creatorcontrib><creatorcontrib>Ekström, Eva-Charlotte</creatorcontrib><creatorcontrib>Khan, Ashraful Islam</creatorcontrib><creatorcontrib>Lindström, Emma</creatorcontrib><creatorcontrib>Persson, Lars Åke</creatorcontrib><creatorcontrib>Ekholm Selling, Katarina</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints database</collection><collection>Science in Context</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database (ProQuest)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - 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Linear Growth Trajectories and Stunting from Birth to Pre-Adolescence in a Rural Bangladeshi Cohort</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-03-02</date><risdate>2016</risdate><volume>11</volume><issue>3</issue><spage>e0149700</spage><pages>e0149700-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Few studies in low-income settings analyse linear growth trajectories from foetal life to pre-adolescence. The aim of this study is to describe linear growth and stunting from birth to 10 years in rural Bangladesh and to analyse whether maternal and environmental determinants at conception are associated with linear growth throughout childhood and stunting at 10 years.
Pregnant women participating in the MINIMat trial were identified in early pregnancy and a birth cohort (n = 1054) was followed with 19 growth measurements from birth to 10 years. Analyses of baseline predictors and mean height-for-age Z-scores (HAZ) over time were modelled using GLMM. Logistic regression analysis was used to investigate the associations between baseline predictors and stunting (HAZ<-2) at 10 years. HAZ decreased to 2 years, followed by an increase up to 10 years, while the average height-for-age difference in cm (HAD) to the WHO reference median continued to increase up to 10 years. Prevalence of stunting was highest at 2 years (50%) decreasing to 29% at 10 years. Maternal height, maternal educational level and season of conception were all independent predictors of HAZ from birth to pre-adolescence (p<0.001) and stunting at 10 years. The highest probability to be stunted at 10 years was for children born by short mothers (<147.5 cm) (ORadj 2.93, 95% CI: 2.06-4.20), mothers with no education (ORadj 1.74, 95% CI 1.17-2.81) or those conceived in the pre-monsoon season (ORadj 1.94, 95% CI 1.37-2.77).
Height growth trajectories and prevalence of stunting in pre-adolescence showed strong intergenerational associations, social differentials, and environmental influence from foetal life. Targeting women before and during pregnancy is needed for the prevention of impaired child growth.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26934484</pmid><doi>10.1371/journal.pone.0149700</doi><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | PubMed Central; ProQuest Publicly Available Content database |
| subjects | Adolescence Adolescent Adolescents Adult Age Anemia Bangladesh - epidemiology Biology and Life Sciences Body Height - physiology Body measurements Child Child development Child, Preschool Childbirth & labor Children Children & youth Childrens health Cognitive development Demographic aspects Differentials Disease Education Ethnicity Female Follow-Up Studies Food Growth Growth Disorders - epidemiology Health surveillance Heat affected zone Humans Identification methods Infant Infant, Newborn Male Malnutrition Maternal & child health Medicine and Health Sciences Monsoons Mortality Mothers Nutrition Parent educational background People and Places Physical growth Physiological aspects Physiological Phenomena - physiology Pregnancy Prevalence Public health Regression analysis Risk factors Rural environments Rural Population Social Sciences Society Socioeconomic Factors Statistical analysis Studies Surveillance Teenagers Trajectory analysis Womens health |
| title | Stunted at 10 Years. Linear Growth Trajectories and Stunting from Birth to Pre-Adolescence in a Rural Bangladeshi Cohort |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T08%3A38%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Stunted%20at%2010%20Years.%20Linear%20Growth%20Trajectories%20and%20Stunting%20from%20Birth%20to%20Pre-Adolescence%20in%20a%20Rural%20Bangladeshi%20Cohort&rft.jtitle=PloS%20one&rft.au=Svefors,%20Pernilla&rft.date=2016-03-02&rft.volume=11&rft.issue=3&rft.spage=e0149700&rft.pages=e0149700-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0149700&rft_dat=%3Cgale_plos_%3EA444874184%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c729t-73f3124758b75588aba889f5ad818e34dcfe030e5b84dc95c67090145a3836be3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1769997862&rft_id=info:pmid/26934484&rft_galeid=A444874184&rfr_iscdi=true |