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A High-Precision Protocol for Identification of Preschool Children at Risk for Persisting Obesity

Publication Date: June 20, 2007
Journal: PLOS ONE
Authors: Toomas Timpka, Marianne Angbratt, Per Bolme, Göran Hermansson, et al
Volume: 2
Issue: 6
Pages: e535
DOI: https://dx.plos.org/10.1371/journal.pone.0000535
Publisher URL: http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0000535
PubMed: http://www.ncbi.nlm.nih.gov/pubmed/17579709
PubMed Central: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1888725
Europe PMC: http://europepmc.org/abstract/MED/17579709
Web of Science: 000207451700003
Scopus: 38849147598
Mendeley: http://www.mendeley.com/research/highprecision-protocol-identification-preschool-children-risk-persisting-obesity

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{"title"=>"A high-precision protocol for identification of preschool children at risk for persisting obesity", "type"=>"journal", "authors"=>[{"first_name"=>"Toomas", "last_name"=>"Timpka", "scopus_author_id"=>"7004996206"}, {"first_name"=>"Marianne", "last_name"=>"Angbratt", "scopus_author_id"=>"6505945270"}, {"first_name"=>"Per", "last_name"=>"Bolme", "scopus_author_id"=>"7006759104"}, {"first_name"=>"Göran", "last_name"=>"Hermansson", "scopus_author_id"=>"6701584015"}, {"first_name"=>"Anders", "last_name"=>"Häger", "scopus_author_id"=>"7005597215"}, {"first_name"=>"Lars", "last_name"=>"Valter", "scopus_author_id"=>"23487102000"}], "year"=>2007, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"38849147598", "doi"=>"10.1371/journal.pone.0000535", "pui"=>"351194009", "pmid"=>"17579709", "scopus"=>"2-s2.0-38849147598", "issn"=>"19326203", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)"}, "id"=>"f65868f2-3909-3cd2-ac15-6ae70728a442", "abstract"=>"BACKGROUND: Recent studies suggest that adolescent adiposity is established already in preadolescence. Earlier studies have confirmed a strong tracking of obesity from adolescence to adulthood. Our aim was to examine the diagnostic accuracy of a population-derived protocol for identification of preschool children at risk for obesity in preadolescence.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: We analysed data obtained for child health surveillance up to age 5 from 5778 children born in a Swedish county in 1991. The basic data set included age, sex, and weight and height measurements from the regular checkups between ages 1.5 and 5. Data not routinely collected in the child health centre setting were disregarded. The children were at age 10 randomly assigned to protocol derivation and validation cohorts and assessed for obesity according to IOTF criteria. The accuracy of predicting obesity in the validation cohort was measured using decision precision, specificity, and sensitivity. The decision protocol selected 1.4% of preschool children as being at obesity risk. The precision of the protocol at age 10 was 82% for girls and 80% for boys, and the specificity was 100% for both boys and girls. The sensitivity was higher for girls (41%) than for boys (21%). The relative risk for obesity at age 10 estimated by the odds ratio for individuals selected by the protocol compared to non-selected peers was 212.6 (95% confidence interval 56.6 to 798.4) for girls and 120.3 (95% CI 24.5 to 589.9) for boys.\\n\\nCONCLUSION/SIGNIFICANCE: A simple and inexpensive decision protocol based on BMI values proved to have high precision and specificity for identification of preschool children at risk for obesity persisting into adolescence, while the sensitivity was low especially for boys. Implementation and further evaluations of the protocol in child health centre settings are warranted.", "link"=>"http://www.mendeley.com/research/highprecision-protocol-identification-preschool-children-risk-persisting-obesity", "reader_count"=>13, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>2, "Researcher"=>4, "Student > Ph. D. Student"=>2, "Student > Master"=>2, "Student > Postgraduate"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>2, "Researcher"=>4, "Student > Ph. D. Student"=>2, "Student > Master"=>2, "Student > Postgraduate"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>4, "Sports and Recreations"=>1, "Social Sciences"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Social Sciences"=>{"Social Sciences"=>3}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"Egypt"=>1, "United Kingdom"=>1}, "group_count"=>1}

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Figshare 10927 Apr 23:31 UTC

Figshare

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PMC Usage Stats 94417 Nov 14:22 UTC

PMC Usage Stats | Further Information

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Relative Metric 249734110 May 16:20 UTC

Relative Metric

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F1000Prime04 Dec 11:40 UTC

F1000Prime

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