Overweight in Adolescence Can Be Predicted at Age 6 Years: A CART Analysis in German Cohorts
Publication Date
March 27, 2014
Journal
PLOS ONE
Authors
Christina Riedel, Rüdiger Von Kries, Anette E. Buyken, Katharina Diethelm, et al
Volume
9
Issue
3
Pages
e93581
DOI
https://dx.plos.org/10.1371/journal.pone.0093581
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0093581
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24676281
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968156
Europe PMC
http://europepmc.org/abstract/MED/24676281
Web of Science
000333677500141
Scopus
84899907339
Mendeley
http://www.mendeley.com/research/overweight-adolescence-predicted-age-6-years-cart-analysis-german-cohorts
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Mendeley | Further Information

{"title"=>"Overweight in adolescence can be predicted at age 6 years: A CART analysis in German cohorts", "type"=>"journal", "authors"=>[{"first_name"=>"Christina", "last_name"=>"Riedel", "scopus_author_id"=>"7005981312"}, {"first_name"=>"Rüdiger", "last_name"=>"Von Kries", "scopus_author_id"=>"7006438130"}, {"first_name"=>"Anette E.", "last_name"=>"Buyken", "scopus_author_id"=>"57190079189"}, {"first_name"=>"Katharina", "last_name"=>"Diethelm", "scopus_author_id"=>"33067660700"}, {"first_name"=>"Thomas", "last_name"=>"Keil", "scopus_author_id"=>"35292287200"}, {"first_name"=>"Linus", "last_name"=>"Grabenhenrich", "scopus_author_id"=>"25227608500"}, {"first_name"=>"Manfred J.", "last_name"=>"Müller", "scopus_author_id"=>"7404689295"}, {"first_name"=>"Sandra", "last_name"=>"Plachta-Danielzik", "scopus_author_id"=>"23568570000"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84899907339", "pmid"=>"24676281", "isbn"=>"1932-6203", "pui"=>"373039704", "issn"=>"19326203", "scopus"=>"2-s2.0-84899907339", "doi"=>"10.1371/journal.pone.0093581"}, "id"=>"f45cbefe-25a9-3947-8b70-5692dc159d3d", "abstract"=>"OBJECTIVE: To examine, whether overweight in adolescents can be predicted from the body mass index (BMI) category, at the age of 6, the mother's education level and mother's obesity and to quantify the proportion of overweight at the age of 14 that can be explained by these predictors.\\n\\nMETHOD: Pooled data from three German cohorts providing anthropometric and other relevant data to a total of 1 287 children. We used a classification and regression tree (CART) approach to identify the contribution of BMI category at the age of 6 (obese: BMI > 97th percentile (P97); overweight: P90 < BMI ≤ P97; high normal weight: P75<BMI ≤ P90; third quartile: P50<BMI ≤ P75; below the median: ≤ P50), maternal education level and maternal obesity for prediction of overweight/obesity (BMI>P90) at the age of 14.\\n\\nRESULTS: While 4.8% [95%CI: 3.2;7.0] of 651 boys and 4.1% [95%CI: 2.6;6.2] of 636 girls with a BMI<P75 at age 6 were overweight/obese in adolescence, prevalence increased to 41.3% [95%CI: 31.9;51.1] and 42.5% [95%CI: 33.8;51.6], respectively, in those with BMI ≥ P75. The lowest prevalence was 1.9% [95%CI: 0.8;3.8] in boys with a BMI ≤ P50 and the highest prevalence 91.7% [95%CI: 61.5;99.8] with a BMI>P97 (similar results for girls). BM I ≥ P75 at the age of 6 explained 63.5% [95%CI: 51.1;74.5]) and 72.0% [95%CI: 60.4;81.8] of overweight/obesity at the age of 14 in boys and girls, respectively.\\n\\nCONCLUSIONS: Overweight/obesity in adolescence can be predicted by BMI category at the age of 6 allowing for parent counselling or risk guided interventions in children with BMI ≥ P75, who accounted for >2/3 of overweight/obesity in adolescents.", "link"=>"http://www.mendeley.com/research/overweight-adolescence-predicted-age-6-years-cart-analysis-german-cohorts", "reader_count"=>29, "reader_count_by_academic_status"=>{"Unspecified"=>5, "Professor > Associate Professor"=>1, "Researcher"=>3, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>8, "Other"=>1, "Student > Bachelor"=>3, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>5, "Professor > Associate Professor"=>1, "Researcher"=>3, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>8, "Other"=>1, "Student > Bachelor"=>3, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Environmental Science"=>1, "Nursing and Health Professions"=>3, "Mathematics"=>2, "Medicine and Dentistry"=>5, "Agricultural and Biological Sciences"=>2, "Business, Management and Accounting"=>1, "Veterinary Science and Veterinary Medicine"=>1, "Psychology"=>4, "Social Sciences"=>2, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Social Sciences"=>{"Social Sciences"=>2}, "Psychology"=>{"Psychology"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Czech Republic"=>1}, "group_count"=>6}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1438590", "https://ndownloader.figshare.com/files/1438591"], "description"=>"<div><p>Objective</p><p>To examine, whether overweight in adolescents can be predicted from the body mass index (BMI) category, at the age of 6, the mother's education level and mother's obesity and to quantify the proportion of overweight at the age of 14 that can be explained by these predictors.</p><p>Method</p><p>Pooled data from three German cohorts providing anthropometric and other relevant data to a total of 1 287 children. We used a classification and regression tree (CART) approach to identify the contribution of BMI category at the age of 6 (obese: BMI>97<sup>th</sup> percentile (P97); overweight: P90P90) at the age of 14.</p><p>Results</p><p>While 4.8% [95%CI: 3.2;7.0] of 651 boys and 4.1% [95%CI: 2.6;6.2] of 636 girls with a BMIP97 (similar results for girls). BMI≥P75 at the age of 6 explained 63.5% [95%CI: 51.1;74.5]) and 72.0% [95%CI: 60.4;81.8] of overweight/obesity at the age of 14 in boys and girls, respectively.</p><p>Conclusions</p><p>Overweight/obesity in adolescence can be predicted by BMI category at the age of 6 allowing for parent counselling or risk guided interventions in children with BMI≥P75, who accounted for >2/3 of overweight/obesity in adolescents.</p></div>", "links"=>[], "tags"=>["physiology", "Physiological parameters", "Body weight", "obesity", "nutrition", "epidemiology", "Social epidemiology", "health care", "Socioeconomic aspects of health", "pediatrics", "Child development", "Child health", "Public and occupational health", "mathematics", "Statistics (mathematics)", "Biostatistics", "adolescence", "german"], "article_id"=>977086, "categories"=>["Biological Sciences"], "users"=>["Christina Riedel", "Rüdiger von Kries", "Anette E. Buyken", "Katharina Diethelm", "Thomas Keil", "Linus Grabenhenrich", "Manfred J. Müller", "Sandra Plachta-Danielzik"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0093581.s001", "https://dx.doi.org/10.1371/journal.pone.0093581.s002"], "stats"=>{"downloads"=>37, "page_views"=>31, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Overweight_in_Adolescence_Can_Be_Predicted_at_Age_6_Years_A_CART_Analysis_in_German_Cohorts_/977086", "title"=>"Overweight in Adolescence Can Be Predicted at Age 6 Years: A CART Analysis in German Cohorts", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-03-27 03:39:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/1438584"], "description"=>"<p>Cumulative explained proportions of overweight/obesity at the age of 14 years by different BMI categories at the age of 6 years in 71 overweight/obese boys (Panel A) and 75 overweight/obese girls (Panel B) in adolescence. The numbers show the cumulative number of boys and girls that are overweight/obesity at the age of 14 years (e.g. 64 boys who are overweight/obese at the age of 14 years lie in the group of BMI >P50 at the age of 6 years; only 7 boys who are overweight/obese at the age of 14 years (71–64) had a BMI≤P50 at the age of 6 years).</p>", "links"=>[], "tags"=>["physiology", "Physiological parameters", "Body weight", "obesity", "nutrition", "epidemiology", "Social epidemiology", "health care", "Socioeconomic aspects of health", "pediatrics", "Child development", "Child health", "Public and occupational health", "mathematics", "Statistics (mathematics)", "Biostatistics", "explained", "proportions", "14"], "article_id"=>977081, "categories"=>["Biological Sciences"], "users"=>["Christina Riedel", "Rüdiger von Kries", "Anette E. Buyken", "Katharina Diethelm", "Thomas Keil", "Linus Grabenhenrich", "Manfred J. Müller", "Sandra Plachta-Danielzik"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0093581.g002", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cumulative_explained_proportions_of_overweight_obesity_at_the_age_of_14_years_/977081", "title"=>"Cumulative explained proportions of overweight/obesity at the age of 14 years.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-27 03:39:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/1438585"], "description"=>"a<p>ANOVA for test of equality of means.</p>b<p>Test for equality of proportions.</p>c<p>P values for comparison of characteristics of KOPS, MAS and DONALD.</p>", "links"=>[], "tags"=>["physiology", "Physiological parameters", "Body weight", "obesity", "nutrition", "epidemiology", "Social epidemiology", "health care", "Socioeconomic aspects of health", "pediatrics", "Child development", "Child health", "Public and occupational health", "mathematics", "Statistics (mathematics)", "Biostatistics", "german", "children", "cohorts", "included"], "article_id"=>977082, "categories"=>["Biological Sciences"], "users"=>["Christina Riedel", "Rüdiger von Kries", "Anette E. Buyken", "Katharina Diethelm", "Thomas Keil", "Linus Grabenhenrich", "Manfred J. Müller", "Sandra Plachta-Danielzik"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0093581.t001", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Participant_characteristics_of_the_3_German_children_cohorts_included_in_the_combined_data_analyses_/977082", "title"=>"Participant characteristics of the 3 German children cohorts included in the combined data analyses.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-27 03:39:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/1438582"], "description"=>"<p>Classification tree for overweight/obese boys (Panel A) and girls (Panel B) at the age of 14 years. by different BMI categories at the age of 6, maternal obesity and education level. The numbers represent the number of overweight/obese boys and the total number in each knot as well as the prevalence of overweight/obesity in adolescence with 95% CI's.</p>", "links"=>[], "tags"=>["physiology", "Physiological parameters", "Body weight", "obesity", "nutrition", "epidemiology", "Social epidemiology", "health care", "Socioeconomic aspects of health", "pediatrics", "Child development", "Child health", "Public and occupational health", "mathematics", "Statistics (mathematics)", "Biostatistics", "boys", "girls", "14"], "article_id"=>977079, "categories"=>["Biological Sciences"], "users"=>["Christina Riedel", "Rüdiger von Kries", "Anette E. Buyken", "Katharina Diethelm", "Thomas Keil", "Linus Grabenhenrich", "Manfred J. Müller", "Sandra Plachta-Danielzik"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0093581.g001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Classification_tree_for_overweight_obese_boys_Panel_A_and_girls_Panel_B_at_the_age_of_14_years_/977079", "title"=>"Classification tree for overweight/obese boys (Panel A) and girls (Panel B) at the age of 14 years.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-27 03:39:47"}

PMC Usage Stats | Further Information

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Relative Metric

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