The trend of lead poisoning rate in Chinese population aged 0-18 years old: a meta-analysis
Childhood lead poisoning is a public health problem gained widely attention for the health damage caused by lead exposure. Pediatrics defines lead poisoning as BLL of or higher than 10 μg/dL, which leads to harmful effects in nervous system, hematological system and urinary system. This study invest...
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description | Childhood lead poisoning is a public health problem gained widely attention for the health damage caused by lead exposure. Pediatrics defines lead poisoning as BLL of or higher than 10 μg/dL, which leads to harmful effects in nervous system, hematological system and urinary system. This study investigates the percentage of 0-18 year old Chinese population with blood lead level (BLL) ≥10 μg/dL during 1990-2012 by searching epidemiologic studies from electronic database focused on BLL in mainland China.
Epidemiologic studies about BLL in China mainland between January 1990 and October 2012 were searched from electronic databases including CNKI, CBM disc, Wanfang Data, Pubmed and Medline. Data extraction, data analysis and risk of bias assessments were performed.
Fifty-five articles were included in analysis containing 200,002 subjects, covering 19 provinces, autonomous regions and municipalities. The corrected pooled rate by trim and fill method under random effect model was 9 % (95 CI: 6 %, 12 %). The corrected pooled lead poisoning rate by trim and fill method was 28.1 % (95 % CI: 21.6 %, 34.6 %) from data published during 1990-2000, much higher than the rate during 2001-2005 (10.5 %, 95 % CI: 6.4 %, 14.5 %) and the rate during 2006-2012 (5.3 %, 95 % CI: 3.7 %, 7 %). The corrected pooled lead poisoning percentage in eastern zone (4.3 %, 95 % CI: 2 %, 6.6 %) was slightly lower than that in western zone (5.8 %, 95 % CI: 3.2 %, 8.5 %) and much lower than in central zone (8.5 %, 95 % CI: 4.9 %, 12.1 %). The corrected pooled rate of population living around mining area (70 %, 95 % CI: 62.7 %, 77.3 %) was much higher than that of population in urban area (9.6 %, 95 % CI: 7.1 %, 12.1 %), suburban area (23.6 %, 95 % CI: 17 %, 30.3 %), rural area (23.8 %, 95 % CI: 6.7 %, 40.9 %) and industrial area (57.5 %, 95 % CI: 28 %, 86.9 %). In male population, the corrected pooled rate (10 %, 95 % CI: 7 %, 13 %) was slightly higher than that in female population (7.7 %, 95 % CI: 5 %, 10.4 %). Considering different age groups, the lead poisoning prevalence gradually rose with the increase of age and reached peak level at preschool age, then declined slightly with age.
This meta-analysis revealed lead exposure situation of Chinese population in recent decades which provide robust evidence for policy making. |
doi_str_mv | 10.1186/s12889-015-2103-9 |
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Epidemiologic studies about BLL in China mainland between January 1990 and October 2012 were searched from electronic databases including CNKI, CBM disc, Wanfang Data, Pubmed and Medline. Data extraction, data analysis and risk of bias assessments were performed.
Fifty-five articles were included in analysis containing 200,002 subjects, covering 19 provinces, autonomous regions and municipalities. The corrected pooled rate by trim and fill method under random effect model was 9 % (95 CI: 6 %, 12 %). The corrected pooled lead poisoning rate by trim and fill method was 28.1 % (95 % CI: 21.6 %, 34.6 %) from data published during 1990-2000, much higher than the rate during 2001-2005 (10.5 %, 95 % CI: 6.4 %, 14.5 %) and the rate during 2006-2012 (5.3 %, 95 % CI: 3.7 %, 7 %). The corrected pooled lead poisoning percentage in eastern zone (4.3 %, 95 % CI: 2 %, 6.6 %) was slightly lower than that in western zone (5.8 %, 95 % CI: 3.2 %, 8.5 %) and much lower than in central zone (8.5 %, 95 % CI: 4.9 %, 12.1 %). The corrected pooled rate of population living around mining area (70 %, 95 % CI: 62.7 %, 77.3 %) was much higher than that of population in urban area (9.6 %, 95 % CI: 7.1 %, 12.1 %), suburban area (23.6 %, 95 % CI: 17 %, 30.3 %), rural area (23.8 %, 95 % CI: 6.7 %, 40.9 %) and industrial area (57.5 %, 95 % CI: 28 %, 86.9 %). In male population, the corrected pooled rate (10 %, 95 % CI: 7 %, 13 %) was slightly higher than that in female population (7.7 %, 95 % CI: 5 %, 10.4 %). Considering different age groups, the lead poisoning prevalence gradually rose with the increase of age and reached peak level at preschool age, then declined slightly with age.
This meta-analysis revealed lead exposure situation of Chinese population in recent decades which provide robust evidence for policy making.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-015-2103-9</identifier><identifier>PMID: 26245199</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject><![CDATA[Adult ; Analysis ; Asian People - statistics & numerical data ; Child ; Child Welfare - statistics & numerical data ; China - epidemiology ; Environmental Exposure - statistics & numerical data ; Environmental Monitoring - statistics & numerical data ; Female ; Forecasts and trends ; Humans ; Infant ; Infant, Newborn ; Information management ; Lead poisoning ; Lead Poisoning - diagnosis ; Lead Poisoning - epidemiology ; Male ; Middle Aged ; Prevalence ; Public health ; Rural Population - statistics & numerical data ; Urban Population - statistics & numerical data]]></subject><ispartof>BMC public health, 2015-08, Vol.15 (1), p.756, Article 756</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2015</rights><rights>Li et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-bc4037ccb5b8281631772ffc20f13930ee66656a0eaa7f98ae6c51381e50ff173</citedby><cites>FETCH-LOGICAL-c494t-bc4037ccb5b8281631772ffc20f13930ee66656a0eaa7f98ae6c51381e50ff173</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/PMC4527361/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4527361/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26245199$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Min-ming</creatorcontrib><creatorcontrib>Cao, Jia</creatorcontrib><creatorcontrib>Gao, Zhen-yan</creatorcontrib><creatorcontrib>Shen, Xiao-ming</creatorcontrib><creatorcontrib>Yan, Chong-huai</creatorcontrib><title>The trend of lead poisoning rate in Chinese population aged 0-18 years old: a meta-analysis</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Childhood lead poisoning is a public health problem gained widely attention for the health damage caused by lead exposure. Pediatrics defines lead poisoning as BLL of or higher than 10 μg/dL, which leads to harmful effects in nervous system, hematological system and urinary system. This study investigates the percentage of 0-18 year old Chinese population with blood lead level (BLL) ≥10 μg/dL during 1990-2012 by searching epidemiologic studies from electronic database focused on BLL in mainland China.
Epidemiologic studies about BLL in China mainland between January 1990 and October 2012 were searched from electronic databases including CNKI, CBM disc, Wanfang Data, Pubmed and Medline. Data extraction, data analysis and risk of bias assessments were performed.
Fifty-five articles were included in analysis containing 200,002 subjects, covering 19 provinces, autonomous regions and municipalities. The corrected pooled rate by trim and fill method under random effect model was 9 % (95 CI: 6 %, 12 %). The corrected pooled lead poisoning rate by trim and fill method was 28.1 % (95 % CI: 21.6 %, 34.6 %) from data published during 1990-2000, much higher than the rate during 2001-2005 (10.5 %, 95 % CI: 6.4 %, 14.5 %) and the rate during 2006-2012 (5.3 %, 95 % CI: 3.7 %, 7 %). The corrected pooled lead poisoning percentage in eastern zone (4.3 %, 95 % CI: 2 %, 6.6 %) was slightly lower than that in western zone (5.8 %, 95 % CI: 3.2 %, 8.5 %) and much lower than in central zone (8.5 %, 95 % CI: 4.9 %, 12.1 %). The corrected pooled rate of population living around mining area (70 %, 95 % CI: 62.7 %, 77.3 %) was much higher than that of population in urban area (9.6 %, 95 % CI: 7.1 %, 12.1 %), suburban area (23.6 %, 95 % CI: 17 %, 30.3 %), rural area (23.8 %, 95 % CI: 6.7 %, 40.9 %) and industrial area (57.5 %, 95 % CI: 28 %, 86.9 %). In male population, the corrected pooled rate (10 %, 95 % CI: 7 %, 13 %) was slightly higher than that in female population (7.7 %, 95 % CI: 5 %, 10.4 %). Considering different age groups, the lead poisoning prevalence gradually rose with the increase of age and reached peak level at preschool age, then declined slightly with age.
This meta-analysis revealed lead exposure situation of Chinese population in recent decades which provide robust evidence for policy making.</description><subject>Adult</subject><subject>Analysis</subject><subject>Asian People - statistics & numerical data</subject><subject>Child</subject><subject>Child Welfare - statistics & numerical data</subject><subject>China - epidemiology</subject><subject>Environmental Exposure - statistics & numerical data</subject><subject>Environmental Monitoring - statistics & numerical data</subject><subject>Female</subject><subject>Forecasts and trends</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Information management</subject><subject>Lead poisoning</subject><subject>Lead Poisoning - diagnosis</subject><subject>Lead Poisoning - epidemiology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Rural Population - statistics & numerical data</subject><subject>Urban Population - statistics & numerical data</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><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>eNptkU2LFDEQhhtR3A_9AV4k4DlrKl-d9iAsg67Cgpf15CFk0pWZLN3JmPQszL83y6zrLkgOCVXv-1KVp-veAbsAMPpjBW7MQBkoyoEJOrzoTkH2QLlU5uWT90l3VustY9AbxV93J1y3KgzDaffrZotkKZhGkgOZ0I1kl2PNKaYNKW5BEhNZbWPCiq2z209uiTkRt8GRMAqGHNCVSvI0fiKOzLg46pKbDjXWN92r4KaKbx_u8-7n1y83q2_0-sfV99XlNfVykAtde8lE7_1arQ03oAX0PQ_BcxZADIIhaq2Vdgyd68NgHGqvQBhAxUKAXpx3n4-5u_16xtFjWoqb7K7E2ZWDzS7a550Ut3aT76xUvBcaWsCHh4CSf--xLvY270vbotr2Y0wwqRn_p9q4CW1MIbcwP8fq7aWSIEGANk118R9VOyPO0eeEIbb6MwMcDb7kWguGx8GB2XvM9ojZNsz2HrMdmuf9040fHX-5ij8m1KD6</recordid><startdate>20150806</startdate><enddate>20150806</enddate><creator>Li, Min-ming</creator><creator>Cao, Jia</creator><creator>Gao, Zhen-yan</creator><creator>Shen, Xiao-ming</creator><creator>Yan, Chong-huai</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>5PM</scope></search><sort><creationdate>20150806</creationdate><title>The trend of lead poisoning rate in Chinese population aged 0-18 years old: a meta-analysis</title><author>Li, Min-ming ; Cao, Jia ; Gao, Zhen-yan ; Shen, Xiao-ming ; Yan, Chong-huai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c494t-bc4037ccb5b8281631772ffc20f13930ee66656a0eaa7f98ae6c51381e50ff173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Analysis</topic><topic>Asian People - statistics & numerical data</topic><topic>Child</topic><topic>Child Welfare - statistics & numerical data</topic><topic>China - epidemiology</topic><topic>Environmental Exposure - statistics & numerical data</topic><topic>Environmental Monitoring - statistics & numerical data</topic><topic>Female</topic><topic>Forecasts and trends</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Information management</topic><topic>Lead poisoning</topic><topic>Lead Poisoning - diagnosis</topic><topic>Lead Poisoning - epidemiology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Rural Population - statistics & numerical data</topic><topic>Urban Population - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Min-ming</creatorcontrib><creatorcontrib>Cao, Jia</creatorcontrib><creatorcontrib>Gao, Zhen-yan</creatorcontrib><creatorcontrib>Shen, Xiao-ming</creatorcontrib><creatorcontrib>Yan, Chong-huai</creatorcontrib><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>Health and Safety Science Abstracts (Full archive)</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>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</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 Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Access via ProQuest (Open Access)</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>PubMed Central (Full Participant titles)</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Min-ming</au><au>Cao, Jia</au><au>Gao, Zhen-yan</au><au>Shen, Xiao-ming</au><au>Yan, Chong-huai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The trend of lead poisoning rate in Chinese population aged 0-18 years old: a meta-analysis</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2015-08-06</date><risdate>2015</risdate><volume>15</volume><issue>1</issue><spage>756</spage><pages>756-</pages><artnum>756</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Childhood lead poisoning is a public health problem gained widely attention for the health damage caused by lead exposure. Pediatrics defines lead poisoning as BLL of or higher than 10 μg/dL, which leads to harmful effects in nervous system, hematological system and urinary system. This study investigates the percentage of 0-18 year old Chinese population with blood lead level (BLL) ≥10 μg/dL during 1990-2012 by searching epidemiologic studies from electronic database focused on BLL in mainland China.
Epidemiologic studies about BLL in China mainland between January 1990 and October 2012 were searched from electronic databases including CNKI, CBM disc, Wanfang Data, Pubmed and Medline. Data extraction, data analysis and risk of bias assessments were performed.
Fifty-five articles were included in analysis containing 200,002 subjects, covering 19 provinces, autonomous regions and municipalities. The corrected pooled rate by trim and fill method under random effect model was 9 % (95 CI: 6 %, 12 %). The corrected pooled lead poisoning rate by trim and fill method was 28.1 % (95 % CI: 21.6 %, 34.6 %) from data published during 1990-2000, much higher than the rate during 2001-2005 (10.5 %, 95 % CI: 6.4 %, 14.5 %) and the rate during 2006-2012 (5.3 %, 95 % CI: 3.7 %, 7 %). The corrected pooled lead poisoning percentage in eastern zone (4.3 %, 95 % CI: 2 %, 6.6 %) was slightly lower than that in western zone (5.8 %, 95 % CI: 3.2 %, 8.5 %) and much lower than in central zone (8.5 %, 95 % CI: 4.9 %, 12.1 %). The corrected pooled rate of population living around mining area (70 %, 95 % CI: 62.7 %, 77.3 %) was much higher than that of population in urban area (9.6 %, 95 % CI: 7.1 %, 12.1 %), suburban area (23.6 %, 95 % CI: 17 %, 30.3 %), rural area (23.8 %, 95 % CI: 6.7 %, 40.9 %) and industrial area (57.5 %, 95 % CI: 28 %, 86.9 %). In male population, the corrected pooled rate (10 %, 95 % CI: 7 %, 13 %) was slightly higher than that in female population (7.7 %, 95 % CI: 5 %, 10.4 %). Considering different age groups, the lead poisoning prevalence gradually rose with the increase of age and reached peak level at preschool age, then declined slightly with age.
This meta-analysis revealed lead exposure situation of Chinese population in recent decades which provide robust evidence for policy making.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26245199</pmid><doi>10.1186/s12889-015-2103-9</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Analysis Asian People - statistics & numerical data Child Child Welfare - statistics & numerical data China - epidemiology Environmental Exposure - statistics & numerical data Environmental Monitoring - statistics & numerical data Female Forecasts and trends Humans Infant Infant, Newborn Information management Lead poisoning Lead Poisoning - diagnosis Lead Poisoning - epidemiology Male Middle Aged Prevalence Public health Rural Population - statistics & numerical data Urban Population - statistics & numerical data |
title | The trend of lead poisoning rate in Chinese population aged 0-18 years old: a meta-analysis |
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