Defining Body Fatness in Adolescents: A Proposal of the Afad-A Classification
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{"title"=>"Defining Body Fatness in Adolescents: A Proposal of the Afad-A Classification", "type"=>"journal", "authors"=>[{"first_name"=>"María del Mar", "last_name"=>"Bibiloni", "scopus_author_id"=>"35344548500"}, {"first_name"=>"Antoni", "last_name"=>"Pons", "scopus_author_id"=>"55314402500"}, {"first_name"=>"Josep A.", "last_name"=>"Tur", "scopus_author_id"=>"7003446022"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84873540109", "pmid"=>"23405220", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pui"=>"368304308", "issn"=>"19326203", "scopus"=>"2-s2.0-84873540109", "doi"=>"10.1371/journal.pone.0055849"}, "id"=>"5c719826-2796-3dbe-8c43-c85cf8411ff4", "abstract"=>"<sec><title>Aims</title><p>Body mass index (BMI) shows several limitations as indicator of fatness. Using the International Obesity Task Force (IOTF) reference and the World Health Organization (WHO) standard 2007 on the same dataset yielded widely different rates. At higher levels, BMI and the BMI cut-offs may be help in informing a clinical judgement, but at levels near the norm additional criteria may be needed. This study compares the prevalence of overweight and obesity using IOTF and WHO-2007 references and interprets body composition by comparing measures of BMI and body fatness (fat mass index, FMI; and waist-to-height ratio, WHtR) among an adolescent population.</p></sec><sec><title>Methods and Results</title><p>A random sample (n = 1231) of adolescent population (12–17 years old) was interviewed. Weight, height, waist circumference, triceps and subscapular skinfolds were used to calculate BMI, FMI, and WHtR. The prevalence of overweight and obesity were 12.3% and 15.4% (WHO standards) and 18.6% and 6.1% (IOTF definition). Despite that IOTF cut-offs misclassified less often than WHO standards, BMI categories were combined with FMI and WHtR resulting in the Adiposity &amp; Fat Distribution for adolescents (AFAD-A) classification, which identified the following groups normal-weight normal-fat (73.2%), normal-weight overfat (2.1%), overweight normal-fat (6.7%), overweight overfat (11.9%) and obesity (6.1%), and also classified overweight at risk and obese adolescents into type-I (9.5% and 1.3%, respectively) and type-II (2.3% and 4.9%, respectively) depending if they had or not abdominal fatness.</p></sec><sec><title>Conclusions</title><p>There are differences between IOTF and WHO-2007 international references and there is a misclassification when adiposity is considered. The BMI limitations, especially for overweight identification, could be reduced by adding an estimate of both adiposity (FMI) and fat distribution (WHtR). The AFAD-A classification could be useful in clinical and population health to identify overfat adolescent and those who have greater risk of developing weight-related cardiovascular diseases according to the BMI category.</p></sec>", "link"=>"http://www.mendeley.com/research/defining-body-fatness-adolescents-proposal-afada-classification", "reader_count"=>45, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Doctoral Student"=>6, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>3, "Student > Master"=>14, "Other"=>2, "Student > Bachelor"=>6}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Doctoral Student"=>6, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>3, "Student > Master"=>14, "Other"=>2, "Student > Bachelor"=>6}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>16, "Agricultural and Biological Sciences"=>8, "Arts and Humanities"=>2, "Sports and Recreations"=>8, "Business, Management and Accounting"=>1, "Psychology"=>3, "Chemistry"=>1, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>16}, "Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>8}, "Psychology"=>{"Psychology"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>8}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>4}, "Arts and Humanities"=>{"Arts and Humanities"=>2}}, "reader_count_by_country"=>{"Czech Republic"=>1, "United Kingdom"=>1, "Italy"=>1}, "group_count"=>2}

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  • {"files"=>["https://ndownloader.figshare.com/files/495056"], "description"=>"<p>Abbreviations: BMI, body mass index; FMI, fat mass index; WHtR, waist-to-height ratio; IOTF, International Obesity Taskforce; WHO, World Health Organization. Significant differences (boys vs. girls) by χ<sup>2</sup>. NS: not significant.</p>", "links"=>[], "tags"=>["overweight", "obesity", "adiposity", "abdominal", "balearic", "spain"], "article_id"=>165572, "categories"=>["Physiology", "Medicine", "Biotechnology"], "users"=>["María del Mar Bibiloni", "Antoni Pons", "Josep A. Tur"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055849.t001", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalence_of_overweight_and_obesity_by_BMI_adiposity_by_FMI_and_abdominal_obesity_by_WHtR_among_the_Balearic_Islands_8217_adolescents_Spain_2007_8211_2008_/165572", "title"=>"Prevalence (%) of overweight and obesity (by BMI), adiposity (by FMI) and abdominal obesity (by WHtR) among the Balearic Islands’ adolescents, Spain (2007–2008).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 15:56:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/494854"], "description"=>"<p>BMI, WC, WHtR, %BF and FMI (mean values ± SD) by the AFAD-A classification. Analysis was adjusted by age.</p>", "links"=>[], "tags"=>["FMI", "afad-a", "was", "adjusted"], "article_id"=>165369, "categories"=>["Physiology", "Medicine", "Biotechnology"], "users"=>["María del Mar Bibiloni", "Antoni Pons", "Josep A. Tur"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055849.g001", "stats"=>{"downloads"=>1, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_BMI_WC_WHtR_BF_and_FMI_mean_values_177_SD_by_the_AFAD_A_classification_Analysis_was_adjusted_by_age_/165369", "title"=>"BMI, WC, WHtR, %BF and FMI (mean values ± SD) by the AFAD-A classification. Analysis was adjusted by age.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 15:55:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/495091"], "description"=>"<p>Abbreviations: BMI, body mass index; FMI, fat mass index; WHtR, waist-to-height ratio. <sup>1</sup>The AFAD-A classification was developed using the International Obesity Task Force (IOTF) cut-offs for BMI categories <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055849#pone.0055849-Cole1\" target=\"_blank\">[3]</a>.</p>", "links"=>[], "tags"=>["classification", "adolescents", "adiposity"], "article_id"=>165610, "categories"=>["Physiology", "Medicine", "Biotechnology"], "users"=>["María del Mar Bibiloni", "Antoni Pons", "Josep A. Tur"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055849.t003", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_proposal_classification_of_adolescents_according_to_their_body_weight_BMI_adiposity_FMI_and_fat_distribution_WHtR_the_Adiposity_Fat_Distribution_classification_for_adolescents_AFAD_A_classification_1_/165610", "title"=>"A proposal classification of adolescents according to their body weight (BMI), adiposity (FMI) and fat distribution (WHtR): the Adiposity & Fat Distribution classification for adolescents (AFAD-A classification)<sup>1</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 15:56:20"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Anatomy and physiology", "average_usage"=>[256, 428]}, {"subject_area"=>"/Biology and life sciences/Physical anthropology", "average_usage"=>[425, 580, 768, 980, 1109, 1229, 1353, 1449, 1554, 1650, 1702, 1817, 1923]}, {"subject_area"=>"/Biology and life sciences/Physiology", "average_usage"=>[256, 449, 572, 676, 775, 866, 955, 1041, 1127, 1213, 1290, 1370, 1437]}, {"subject_area"=>"/Medicine and health sciences/Anatomy and physiology", "average_usage"=>[253, 430]}, {"subject_area"=>"/Medicine and health sciences/Physiology", "average_usage"=>[258, 449, 572, 679, 775, 866, 956, 1041, 1124, 1211, 1291, 1371, 1437]}, {"subject_area"=>"/Medicine and health sciences/Public and occupational health", "average_usage"=>[291, 491, 610, 723, 817, 906, 991, 1071, 1153, 1238, 1324, 1411, 1478]}, {"subject_area"=>"/People and places/Population groupings", "average_usage"=>[265, 456, 578, 682, 782, 881, 965, 1053, 1133, 1223, 1310, 1391, 1457]}, {"subject_area"=>"/Social sciences", "average_usage"=>[289, 475, 593, 703, 805, 902, 990, 1078, 1158, 1250, 1336, 1417, 1482]}]}
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