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Geo-mapping of caries risk in children and adolescents - a novel approach for allocation of preventive care
Dental caries in children is unevenly distributed within populations with a higher burden in low socio-economy groups. Thus, tools are needed to allocate resources and establish evidence-based programs that meet the needs of those at risk. The aim of the study was to apply a novel concept for presen...
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Published in: | BMC oral health 2011-09, Vol.11 (1), p.26-26, Article 26 |
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description | Dental caries in children is unevenly distributed within populations with a higher burden in low socio-economy groups. Thus, tools are needed to allocate resources and establish evidence-based programs that meet the needs of those at risk. The aim of the study was to apply a novel concept for presenting epidemiological data based on caries risk in the region of Halland in southwest Sweden, using geo-maps.
The study population consisted of 46,536 individuals between 3-19 years of age (75% of the eligible population) from whom caries data were reported in 2010. Reported dmfs/DMFS>0 for an individual was considered as the primary caries outcome. Each study individual was geo-coded with respect to his/her residence parish. A parish-specific relative risk (RR) was calculated as the observed-to-expected ratio, where the expected number of individuals with dmfs/DMFS>0 was obtained from the age- and sex-specific caries (dmfs/DMFS>0) rates for the total study population. Smoothed caries risk geo-maps, along with corresponding statistical certainty geo-maps, were produced by using the free software Rapid Inquiry Facility and the ESRI® ArcGIS system.
The geo-maps of preschool children (3-6 years), schoolchildren (7-11 years) and adolescents (12-19 years) displayed obvious geographical variations in caries risk, albeit most marked among the preschoolers. Among the preschool children the smoothed relative risk (SmRR) varied from 0.33 to 2.37 in different parishes. With increasing age, the contrasts seemed to diminish although the gross geographical risk pattern persisted also among the adolescents (SmRR range 0.75-1.20).
Geo-maps based on caries risk may provide a novel option to allocate resources and tailor supportive and preventive measures within regions with sections of the population with relatively high caries rates. |
doi_str_mv | 10.1186/1472-6831-11-26 |
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The study population consisted of 46,536 individuals between 3-19 years of age (75% of the eligible population) from whom caries data were reported in 2010. Reported dmfs/DMFS>0 for an individual was considered as the primary caries outcome. Each study individual was geo-coded with respect to his/her residence parish. A parish-specific relative risk (RR) was calculated as the observed-to-expected ratio, where the expected number of individuals with dmfs/DMFS>0 was obtained from the age- and sex-specific caries (dmfs/DMFS>0) rates for the total study population. Smoothed caries risk geo-maps, along with corresponding statistical certainty geo-maps, were produced by using the free software Rapid Inquiry Facility and the ESRI® ArcGIS system.
The geo-maps of preschool children (3-6 years), schoolchildren (7-11 years) and adolescents (12-19 years) displayed obvious geographical variations in caries risk, albeit most marked among the preschoolers. Among the preschool children the smoothed relative risk (SmRR) varied from 0.33 to 2.37 in different parishes. With increasing age, the contrasts seemed to diminish although the gross geographical risk pattern persisted also among the adolescents (SmRR range 0.75-1.20).
Geo-maps based on caries risk may provide a novel option to allocate resources and tailor supportive and preventive measures within regions with sections of the population with relatively high caries rates.</description><identifier>ISSN: 1472-6831</identifier><identifier>EISSN: 1472-6831</identifier><identifier>DOI: 10.1186/1472-6831-11-26</identifier><identifier>PMID: 21943023</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adolescent ; Age Factors ; Bayes Theorem ; caries ; Child ; Child, Preschool ; children ; Chronic diseases ; Data Collection ; Dental Caries - epidemiology ; Dental Caries - prevention & control ; Dental Caries Susceptibility ; Dentistry ; DMF Index ; Educational Status ; Female ; geo-mapping ; Geographic Information Systems ; Health aspects ; Humans ; Male ; Oral health ; Prevention ; Resource Allocation - statistics & numerical data ; Risk ; Risk Assessment ; Sex Factors ; Social Class ; Sweden - epidemiology ; Teenagers ; Tooth, Deciduous - pathology ; Young Adult ; Youth</subject><ispartof>BMC oral health, 2011-09, Vol.11 (1), p.26-26, Article 26</ispartof><rights>COPYRIGHT 2011 BioMed Central Ltd.</rights><rights>2011 Strömberg et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright ©2011 Strömberg et al; licensee BioMed Central Ltd. 2011 Strömberg et al; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b751t-b65732e0de515e1e2b76341c10a5be591353affe943e6f992f3c361ef4d281b83</citedby><cites>FETCH-LOGICAL-b751t-b65732e0de515e1e2b76341c10a5be591353affe943e6f992f3c361ef4d281b83</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/PMC3198761/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/902212809?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21943023$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Strömberg, Ulf</creatorcontrib><creatorcontrib>Magnusson, Kerstin</creatorcontrib><creatorcontrib>Holmén, Anders</creatorcontrib><creatorcontrib>Twetman, Svante</creatorcontrib><title>Geo-mapping of caries risk in children and adolescents - a novel approach for allocation of preventive care</title><title>BMC oral health</title><addtitle>BMC Oral Health</addtitle><description>Dental caries in children is unevenly distributed within populations with a higher burden in low socio-economy groups. Thus, tools are needed to allocate resources and establish evidence-based programs that meet the needs of those at risk. The aim of the study was to apply a novel concept for presenting epidemiological data based on caries risk in the region of Halland in southwest Sweden, using geo-maps.
The study population consisted of 46,536 individuals between 3-19 years of age (75% of the eligible population) from whom caries data were reported in 2010. Reported dmfs/DMFS>0 for an individual was considered as the primary caries outcome. Each study individual was geo-coded with respect to his/her residence parish. A parish-specific relative risk (RR) was calculated as the observed-to-expected ratio, where the expected number of individuals with dmfs/DMFS>0 was obtained from the age- and sex-specific caries (dmfs/DMFS>0) rates for the total study population. Smoothed caries risk geo-maps, along with corresponding statistical certainty geo-maps, were produced by using the free software Rapid Inquiry Facility and the ESRI® ArcGIS system.
The geo-maps of preschool children (3-6 years), schoolchildren (7-11 years) and adolescents (12-19 years) displayed obvious geographical variations in caries risk, albeit most marked among the preschoolers. Among the preschool children the smoothed relative risk (SmRR) varied from 0.33 to 2.37 in different parishes. With increasing age, the contrasts seemed to diminish although the gross geographical risk pattern persisted also among the adolescents (SmRR range 0.75-1.20).
Geo-maps based on caries risk may provide a novel option to allocate resources and tailor supportive and preventive measures within regions with sections of the population with relatively high caries rates.</description><subject>Adolescent</subject><subject>Age Factors</subject><subject>Bayes Theorem</subject><subject>caries</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>children</subject><subject>Chronic diseases</subject><subject>Data Collection</subject><subject>Dental Caries - epidemiology</subject><subject>Dental Caries - prevention & control</subject><subject>Dental Caries Susceptibility</subject><subject>Dentistry</subject><subject>DMF Index</subject><subject>Educational Status</subject><subject>Female</subject><subject>geo-mapping</subject><subject>Geographic Information Systems</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Male</subject><subject>Oral health</subject><subject>Prevention</subject><subject>Resource Allocation - statistics & numerical data</subject><subject>Risk</subject><subject>Risk Assessment</subject><subject>Sex Factors</subject><subject>Social Class</subject><subject>Sweden - epidemiology</subject><subject>Teenagers</subject><subject>Tooth, Deciduous - pathology</subject><subject>Young Adult</subject><subject>Youth</subject><issn>1472-6831</issn><issn>1472-6831</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1kkFv1DAQhSMEoqVw5oYsOHBK67EdJ7kglQpKpUpc4Gw5znjX28Re7OxK_fc4pKy6qMgHW-M33_jNuCjeAj0HaOQFiJqVsuFQApRMPitOD5Hnj84nxauUNpRC3Qjxsjhh0ApOGT8t7q4xlKPebp1fkWCJ0dFhItGlO-I8MWs39BE90b4nug8DJoN-SqQkmviwx4Hk3Bi0WRMbItHDEIyeXPAzbBtxn9VujzMXXxcvrB4SvnnYz4qfX7_8uPpW3n6_vrm6vC27uoKp7GRVc4a0xwoqBGRdLbkAA1RXHVYt8IprazFbQGnbllluuAS0omcNdA0_K24Wbh_0Rm2jG3W8V0E79ScQ4krpODkzoLKCd7UArmtWCay1lkb0-QG9EaKSbZtZnxbWdteN2M_mox6OoMc33q3VKuwVh7apJWTA5wXQufAfwPGNCaOaB6fmwSkAxWSGfHx4RQy_dpgmNbo8iGHQHsMuqZZSyRvK53Lv_1Fuwi763O4sYgxYQ2dTHxbRSuceOG9DrmxmpLpkNRW0bWBGnT-hyqvH0Zng0bocP0q4WBJMDClFtAeXQNX8XZ_w9e5xdw_6v_-T_wbaK-QV</recordid><startdate>20110926</startdate><enddate>20110926</enddate><creator>Strömberg, Ulf</creator><creator>Magnusson, Kerstin</creator><creator>Holmén, Anders</creator><creator>Twetman, Svante</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>7QP</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20110926</creationdate><title>Geo-mapping of caries risk in children and adolescents - a novel approach for allocation of preventive care</title><author>Strömberg, Ulf ; 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Thus, tools are needed to allocate resources and establish evidence-based programs that meet the needs of those at risk. The aim of the study was to apply a novel concept for presenting epidemiological data based on caries risk in the region of Halland in southwest Sweden, using geo-maps.
The study population consisted of 46,536 individuals between 3-19 years of age (75% of the eligible population) from whom caries data were reported in 2010. Reported dmfs/DMFS>0 for an individual was considered as the primary caries outcome. Each study individual was geo-coded with respect to his/her residence parish. A parish-specific relative risk (RR) was calculated as the observed-to-expected ratio, where the expected number of individuals with dmfs/DMFS>0 was obtained from the age- and sex-specific caries (dmfs/DMFS>0) rates for the total study population. Smoothed caries risk geo-maps, along with corresponding statistical certainty geo-maps, were produced by using the free software Rapid Inquiry Facility and the ESRI® ArcGIS system.
The geo-maps of preschool children (3-6 years), schoolchildren (7-11 years) and adolescents (12-19 years) displayed obvious geographical variations in caries risk, albeit most marked among the preschoolers. Among the preschool children the smoothed relative risk (SmRR) varied from 0.33 to 2.37 in different parishes. With increasing age, the contrasts seemed to diminish although the gross geographical risk pattern persisted also among the adolescents (SmRR range 0.75-1.20).
Geo-maps based on caries risk may provide a novel option to allocate resources and tailor supportive and preventive measures within regions with sections of the population with relatively high caries rates.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>21943023</pmid><doi>10.1186/1472-6831-11-26</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Age Factors Bayes Theorem caries Child Child, Preschool children Chronic diseases Data Collection Dental Caries - epidemiology Dental Caries - prevention & control Dental Caries Susceptibility Dentistry DMF Index Educational Status Female geo-mapping Geographic Information Systems Health aspects Humans Male Oral health Prevention Resource Allocation - statistics & numerical data Risk Risk Assessment Sex Factors Social Class Sweden - epidemiology Teenagers Tooth, Deciduous - pathology Young Adult Youth |
title | Geo-mapping of caries risk in children and adolescents - a novel approach for allocation of preventive care |
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