The Sex and Race Specific Relationship between Anthropometry and Body Fat Composition Determined from Computed Tomography: Evidence from the Multi-Ethnic Study of Atherosclerosis
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{"title"=>"The sex and race specific relationship between anthropometry and body fat composition determined from computed tomography: Evidence from the multi-ethnic study of atherosclerosis", "type"=>"journal", "authors"=>[{"first_name"=>"Morgana", "last_name"=>"Mongraw-Chaffin", "scopus_author_id"=>"23485950300"}, {"first_name"=>"Sherita Hill", "last_name"=>"Golden", "scopus_author_id"=>"7102653518"}, {"first_name"=>"Matthew A.", "last_name"=>"Allison", "scopus_author_id"=>"7102381732"}, {"first_name"=>"Jingzhong", "last_name"=>"Ding", "scopus_author_id"=>"7402608341"}, {"first_name"=>"Pamela", "last_name"=>"Ouyang", "scopus_author_id"=>"7006178388"}, {"first_name"=>"Pamela J.", "last_name"=>"Schreiner", "scopus_author_id"=>"7102780030"}, {"first_name"=>"Moyses", "last_name"=>"Szklo", "scopus_author_id"=>"7006672198"}, {"first_name"=>"Mark", "last_name"=>"Woodward", "scopus_author_id"=>"7102510958"}, {"first_name"=>"Jeffery Hunter", "last_name"=>"Young", "scopus_author_id"=>"7408525242"}, {"first_name"=>"Cheryl A.M.", "last_name"=>"Anderson", "scopus_author_id"=>"26423548700"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"26448048", "doi"=>"10.1371/journal.pone.0139559", "pui"=>"607096723", "issn"=>"19326203", "sgr"=>"84948653403", "scopus"=>"2-s2.0-84948653403"}, "id"=>"1d921b4f-18d4-3386-83af-2ea8bd8bcab9", "abstract"=>"BACKGROUND: Few studies have investigated the relationship of anthropometric measurements with computed tomography (CT) body fat composition, and even fewer determined if these relationships differ by sex and race. METHODS: CT scans from 1,851 participants in the population based Multi-Ethnic Study of Atherosclerosis were assessed for visceral and subcutaneous fat areas by semi-automated segmentation of body compartments. Regression models were used to investigate relationships for anthropometry with visceral and subcutaneous fat separately by sex and race/ethnicity. RESULTS: Participants were 50% female, 41% Caucasian, 13% Asian, 21% African American, and 25% Hispanic. For visceral fat, the positive relationship with weight (p = 0.028), waist circumference (p<0.001), waist to hip ratio (p<0.001), and waist to height ratio (p = 0.05) differed by sex, with a steeper slope for men. That is, across the range of these anthropometric measures the rise in visceral fat is faster for men than for women. Additionally, there were differences by race/ethnicity in the relationship with height (p<0.001), weight (p<0.001), waist circumference (p<0.001), hip circumference (p = 0.006), and waist to hip ratio (p = 0.001) with the Hispanic group having shallower slopes. For subcutaneous fat, interaction by sex was found for all anthropometric indices at p<0.05, but not for race/ethnicity. CONCLUSION: The relationship between anthropometry and underlying adiposity differs by sex and race/ethnicity. When anthropometry is used as a proxy for visceral fat in research, sex-specific models should be used.", "link"=>"http://www.mendeley.com/research/sex-race-specific-relationship-between-anthropometry-body-fat-composition-determined-computed-tomogr", "reader_count"=>13, "reader_count_by_academic_status"=>{"Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Other"=>1, "Student > Master"=>2, "Student > Bachelor"=>4, "Professor"=>2}, "reader_count_by_user_role"=>{"Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Other"=>1, "Student > Master"=>2, "Student > Bachelor"=>4, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Nursing and Health Professions"=>2, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>6, "Agricultural and Biological Sciences"=>1, "Neuroscience"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Neuroscience"=>{"Neuroscience"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>2}}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2353515"], "description"=>"<p>Lowess of Visceral Fat and Subcutaneous Fat by Sex in 1851 Adults in the MESA Body Composition ancillary Study.</p>", "links"=>[], "tags"=>["anthropometric", "race", "subcutaneou", "circumference", "anthropometry", "Atherosclerosis BackgroundFew studies", "relationship", "hip ratio", "ct", "Body Fat Composition", "waist"], "article_id"=>1570516, "categories"=>["Uncategorised"], "users"=>["Morgana Mongraw-Chaffin", "Sherita Hill Golden", "Matthew A. Allison", "Jingzhong Ding", "Pamela Ouyang", "Pamela J. Schreiner", "Moyses Szklo", "Mark Woodward", "Jeffery Hunter Young", "Cheryl A. M. Anderson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0139559.g001", "stats"=>{"downloads"=>0, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Lowess_of_Visceral_Fat_and_Subcutaneous_Fat_by_Sex_in_1851_Adults_in_the_MESA_Body_Composition_ancillary_Study_/1570516", "title"=>"Lowess of Visceral Fat and Subcutaneous Fat by Sex in 1851 Adults in the MESA Body Composition ancillary Study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-08 03:59:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/2353516"], "description"=>"<p>Lowess of ln Visceral Fat and Anthropometry by Sex in1851 Adults in the MESA Body Composition Ancillary Study.</p>", "links"=>[], "tags"=>["anthropometric", "race", "subcutaneou", "circumference", "anthropometry", "Atherosclerosis BackgroundFew studies", "relationship", "hip ratio", "ct", "Body Fat Composition", "waist"], "article_id"=>1570517, "categories"=>["Uncategorised"], "users"=>["Morgana Mongraw-Chaffin", "Sherita Hill Golden", "Matthew A. Allison", "Jingzhong Ding", "Pamela Ouyang", "Pamela J. Schreiner", "Moyses Szklo", "Mark Woodward", "Jeffery Hunter Young", "Cheryl A. M. Anderson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0139559.g002", "stats"=>{"downloads"=>2, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Lowess_of_ln_Visceral_Fat_and_Anthropometry_by_Sex_in1851_Adults_in_the_MESA_Body_Composition_Ancillary_Study_/1570517", "title"=>"Lowess of ln Visceral Fat and Anthropometry by Sex in1851 Adults in the MESA Body Composition Ancillary Study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-08 03:59:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/2353517"], "description"=>"<p>a. Participants on Thiazolidinediones and observations with Cook's Distance >0.025 excluded.</p><p>b. Quartile cutoffs are equivalent to 97.7, 138.2, 193.6 cm<sup>2</sup> visceral fat170.7, 235.1, 311.1 cm<sup>2</sup> subcutaneous fat on the original scale</p><p>c. Diabetes diagnosed as ≥126 mg/dl fasting glucose</p><p>Characteristics (Mean (SD) or Percentile) of 1851 Adults<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139559#t001fn001\" target=\"_blank\"><sup>a</sup></a> Aged 45–84 in the MESA Body Composition Ancillary Study by Body Composition Quartile<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139559#t001fn002\" target=\"_blank\"><sup>b</sup></a>.</p>", "links"=>[], "tags"=>["anthropometric", "race", "subcutaneou", "circumference", "anthropometry", "Atherosclerosis BackgroundFew studies", "relationship", "hip ratio", "ct", "Body Fat Composition", "waist"], "article_id"=>1570518, "categories"=>["Uncategorised"], "users"=>["Morgana Mongraw-Chaffin", "Sherita Hill Golden", "Matthew A. Allison", "Jingzhong Ding", "Pamela Ouyang", "Pamela J. Schreiner", "Moyses Szklo", "Mark Woodward", "Jeffery Hunter Young", "Cheryl A. M. Anderson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0139559.t001", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_Mean_SD_or_Percentile_of_1851_Adults_a_Aged_45_84_in_the_MESA_Body_Composition_Ancillary_Study_by_Body_Composition_Quartile_b_/1570518", "title"=>"Characteristics (Mean (SD) or Percentile) of 1851 Adults<sup>a</sup> Aged 45–84 in the MESA Body Composition Ancillary Study by Body Composition Quartile<sup>b</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-10-08 03:59:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/2353518"], "description"=>"<p>Regression equation for body fat composition by anthropometry and sex: Ln body fat composition = β0<sub>1</sub> + β0<sub>2</sub>(sex) + β1(X) + β2(X<sup>2</sup>) + β3(sex*X). Intercept = β0<sub>1</sub> + β0<sub>2</sub>, Linear = β1 <b>+</b> β3, Quadratic = β2, P-value for difference by sex = p-value for β3. Centering: height—160cm, weight—50kg, BMI—20 kg/m<sup>2</sup>, waist—100cm, hip—100cm, waist to hip—0.7, waist to height—0.4.</p><p>Association between body fat composition measures and anthropometry by sex in MESA.</p>", "links"=>[], "tags"=>["anthropometric", "race", "subcutaneou", "circumference", "anthropometry", "Atherosclerosis BackgroundFew studies", "relationship", "hip ratio", "ct", "Body Fat Composition", "waist"], "article_id"=>1570519, "categories"=>["Uncategorised"], "users"=>["Morgana Mongraw-Chaffin", "Sherita Hill Golden", "Matthew A. Allison", "Jingzhong Ding", "Pamela Ouyang", "Pamela J. Schreiner", "Moyses Szklo", "Mark Woodward", "Jeffery Hunter Young", "Cheryl A. M. Anderson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0139559.t002", "stats"=>{"downloads"=>0, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_body_fat_composition_measures_and_anthropometry_by_sex_in_MESA_/1570519", "title"=>"Association between body fat composition measures and anthropometry by sex in MESA.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-10-08 03:59:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/2353522"], "description"=>"<p>Regression equation for body fat composition by anthropometry and race/ethnicity: Ln body fat composition = β0<sub>1</sub> + β0<sub>2</sub>(race) + β1(X) + β2(X<sup>2</sup>) + β3(race*X). Intercept = β0<sub>1</sub> + β0<sub>2</sub>, Linear = β1 <b>+</b> β3, Quadratic = β2, P-value for difference by race = <i>P</i>-value for overall F-test. Centering: height—160cm, weight—50kg, BMI—20 kg/m<sup>2</sup>, waist—100cm, hip—100cm, waist to hip—0.7, waist to height—0.4.</p><p>Association Between Body Fat Composition Measures and Anthropometry by Race/Ethnicity in MESA.</p>", "links"=>[], "tags"=>["anthropometric", "race", "subcutaneou", "circumference", "anthropometry", "Atherosclerosis BackgroundFew studies", "relationship", "hip ratio", "ct", "Body Fat Composition", "waist"], "article_id"=>1570521, "categories"=>["Uncategorised"], "users"=>["Morgana Mongraw-Chaffin", "Sherita Hill Golden", "Matthew A. Allison", "Jingzhong Ding", "Pamela Ouyang", "Pamela J. Schreiner", "Moyses Szklo", "Mark Woodward", "Jeffery Hunter Young", "Cheryl A. M. Anderson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0139559.t003", "stats"=>{"downloads"=>1, "page_views"=>24, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_Between_Body_Fat_Composition_Measures_and_Anthropometry_by_Race_Ethnicity_in_MESA_/1570521", "title"=>"Association Between Body Fat Composition Measures and Anthropometry by Race/Ethnicity in MESA.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-10-08 03:59:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/2353528", "https://ndownloader.figshare.com/files/2353529", "https://ndownloader.figshare.com/files/2353530", "https://ndownloader.figshare.com/files/2353531"], "description"=>"<div><p>Background</p><p>Few studies have investigated the relationship of anthropometric measurements with computed tomography (CT) body fat composition, and even fewer determined if these relationships differ by sex and race.</p><p>Methods</p><p>CT scans from 1,851 participants in the population based Multi-Ethnic Study of Atherosclerosis were assessed for visceral and subcutaneous fat areas by semi-automated segmentation of body compartments. Regression models were used to investigate relationships for anthropometry with visceral and subcutaneous fat separately by sex and race/ethnicity.</p><p>Results</p><p>Participants were 50% female, 41% Caucasian, 13% Asian, 21% African American, and 25% Hispanic. For visceral fat, the positive relationship with weight (p = 0.028), waist circumference (p<0.001), waist to hip ratio (p<0.001), and waist to height ratio (p = 0.05) differed by sex, with a steeper slope for men. That is, across the range of these anthropometric measures the rise in visceral fat is faster for men than for women. Additionally, there were differences by race/ethnicity in the relationship with height (p<0.001), weight (p<0.001), waist circumference (p<0.001), hip circumference (p = 0.006), and waist to hip ratio (p = 0.001) with the Hispanic group having shallower slopes. For subcutaneous fat, interaction by sex was found for all anthropometric indices at p<0.05, but not for race/ethnicity.</p><p>Conclusion</p><p>The relationship between anthropometry and underlying adiposity differs by sex and race/ethnicity. When anthropometry is used as a proxy for visceral fat in research, sex-specific models should be used.</p></div>", "links"=>[], "tags"=>["anthropometric", "race", "subcutaneou", "circumference", "anthropometry", "Atherosclerosis BackgroundFew studies", "relationship", "hip ratio", "ct", "Body Fat Composition", "waist"], "article_id"=>1570522, "categories"=>["Uncategorised"], "users"=>["Morgana Mongraw-Chaffin", "Sherita Hill Golden", "Matthew A. Allison", "Jingzhong Ding", "Pamela Ouyang", "Pamela J. Schreiner", "Moyses Szklo", "Mark Woodward", "Jeffery Hunter Young", "Cheryl A. M. Anderson"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0139559.s001", "https://dx.doi.org/10.1371/journal.pone.0139559.s002", "https://dx.doi.org/10.1371/journal.pone.0139559.s003", "https://dx.doi.org/10.1371/journal.pone.0139559.s004"], "stats"=>{"downloads"=>3, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_Sex_and_Race_Specific_Relationship_between_Anthropometry_and_Body_Fat_Composition_Determined_from_Computed_Tomography_Evidence_from_the_Multi_Ethnic_Study_of_Atherosclerosis_/1570522", "title"=>"The Sex and Race Specific Relationship between Anthropometry and Body Fat Composition Determined from Computed Tomography: Evidence from the Multi-Ethnic Study of Atherosclerosis", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-10-08 03:59:28"}

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{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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