Android Fat Depot Is More Closely Associated with Metabolic Syndrome than Abdominal Visceral Fat in Elderly People
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{"title"=>"Android fat depot is more closely associated with metabolic syndrome than abdominal visceral fat in elderly people", "type"=>"journal", "authors"=>[{"first_name"=>"Seon Mee", "last_name"=>"Kang", "scopus_author_id"=>"36545034800"}, {"first_name"=>"Ji Won", "last_name"=>"Yoon", "scopus_author_id"=>"56663534300"}, {"first_name"=>"Hwa Young", "last_name"=>"Ahn", "scopus_author_id"=>"35114456100"}, {"first_name"=>"So Yeon", "last_name"=>"Kim", "scopus_author_id"=>"57113844700"}, {"first_name"=>"Kyoung Ho", "last_name"=>"Lee", "scopus_author_id"=>"6601910440"}, {"first_name"=>"Hayley", "last_name"=>"Shin", "scopus_author_id"=>"36545228300"}, {"first_name"=>"Sung Hee", "last_name"=>"Choi", "scopus_author_id"=>"56181488400"}, {"first_name"=>"Kyong Soo", "last_name"=>"Park", "scopus_author_id"=>"35243240300"}, {"first_name"=>"Hak Chul", "last_name"=>"Jang", "scopus_author_id"=>"7202135305"}, {"first_name"=>"Soo", "last_name"=>"Lim", "scopus_author_id"=>"26660890200"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"362904747", "sgr"=>"80855133567", "issn"=>"19326203", "pmid"=>"22096613", "scopus"=>"2-s2.0-80855133567", "doi"=>"10.1371/journal.pone.0027694", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)"}, "id"=>"e05f24c0-0bcc-37a4-9f36-b2b564181b38", "abstract"=>"BACKGROUND: Fat accumulation in android compartments may confer increased metabolic risk. The incremental utility of measuring regional fat deposition in association with metabolic syndrome (MS) has not been well described particularly in an elderly population.\\n\\nMETHODS AND FINDINGS: As part of the Korean Longitudinal Study on Health and Aging, which is a community-based cohort study of people aged more than 65 years, subjects (287 male, 75.9±8.6 years and 278 female, 76.0±8.8 years) with regional body composition data using Dual energy X-ray absorptiometry for android/gynoid area, computed tomography for visceral/subcutaneous adipose tissue (VAT/SAT), and cardiometabolic markers including adiponectin and high-sensitivity CRP were enrolled. We investigated the relationship between regional body composition and MS in multivariate regression models. Mean VAT and SAT area was 131.4±65.5 cm(2) and 126.9±55.2 cm(2) in men (P = 0.045) and 120.0±46.7 cm(2) and 211.8±65.9 cm(2) in women (P<0.01). Mean android and gynoid fat amount was 1.8±0.8 kg and 2.5±0.8 kg in men and 2.0±0.6 kg and 3.3±0.8 kg in women, respectively (both P<0.01). VAT area and android fat amount was strongly correlated with most metabolic risk factors compared to SAT or gynoid fat. Furthermore, android fat amount was significantly associated with clustering of MS components after adjustment for multiple parameters including age, gender, adiponectin, hsCRP, a surrogate marker of insulin resistance, whole body fat mass and VAT area.\\n\\nCONCLUSIONS: Our findings are consistent with the hypothesized role of android fat as a pathogenic fat depot in the MS. Measurement of android fat may provide a more complete understanding of metabolic risk associated with variations in fat distribution.", "link"=>"http://www.mendeley.com/research/android-fat-depot-more-closely-associated-metabolic-syndrome-abdominal-visceral-fat-elderly-people-6", "reader_count"=>73, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>6, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>19, "Student > Postgraduate"=>4, "Student > Master"=>16, "Other"=>3, "Student > Bachelor"=>16, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>6, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>19, "Student > Postgraduate"=>4, "Student > Master"=>16, "Other"=>3, "Student > Bachelor"=>16, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>7, "Engineering"=>2, "Nursing and Health Professions"=>2, "Biochemistry, Genetics and Molecular Biology"=>2, "Agricultural and Biological Sciences"=>13, "Medicine and Dentistry"=>25, "Neuroscience"=>1, "Sports and Recreations"=>9, "Business, Management and Accounting"=>1, "Psychology"=>1, "Social Sciences"=>3, "Computer Science"=>7}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>25}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>3}, "Sports and Recreations"=>{"Sports and Recreations"=>9}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>13}, "Computer Science"=>{"Computer Science"=>7}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>7}}, "reader_count_by_country"=>{"Netherlands"=>1, "Korea (South)"=>1, "Japan"=>1, "Mexico"=>1, "Indonesia"=>1}, "group_count"=>3}

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  • {"files"=>["https://ndownloader.figshare.com/files/713962"], "description"=>"<p>*HOMA-IR; homeostasis model assessment for insulin resistance.</p>", "links"=>[], "tags"=>["characteristics", "dual", "x-ray", "absorptiometry", "computed", "tomography"], "article_id"=>384315, "categories"=>["Chemistry", "Cell Biology", "Medicine", "Biochemistry", "Biotechnology", "Physiology", "Genetics"], "users"=>["Seon Mee Kang", "Ji Won Yoon", "Hwa Young Ahn", "So Yeon Kim", "Kyoung Ho Lee", "Hayley Shin", "Sung Hee Choi", "Kyong Soo Park", "Hak Chul Jang", "Soo Lim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0027694.t001", "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Participants_characteristics_including_body_composition_measured_by_dual_energy_x_ray_absorptiometry_DXA_and_computed_tomography_CT_/384315", "title"=>"Participants characteristics including body composition measured by dual energy x-ray absorptiometry (DXA) and computed tomography (CT).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-11-11 01:11:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/714015"], "description"=>"<p>HOMA-IR: homeostasis model assessment for insulin resistance.</p>", "links"=>[], "tags"=>["linear", "regression", "associations", "parameters", "coronary", "artery"], "article_id"=>384359, "categories"=>["Chemistry", "Cell Biology", "Medicine", "Biochemistry", "Biotechnology", "Physiology", "Genetics"], "users"=>["Seon Mee Kang", "Ji Won Yoon", "Hwa Young Ahn", "So Yeon Kim", "Kyoung Ho Lee", "Hayley Shin", "Sung Hee Choi", "Kyong Soo Park", "Hak Chul Jang", "Soo Lim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0027694.t004", "stats"=>{"downloads"=>1, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multivariate_linear_regression_analysis_of_associations_of_multiple_parameters_including_body_composition_with_coronary_artery_stenosis_/384359", "title"=>"Multivariate linear regression analysis of associations of multiple parameters including body composition with coronary artery stenosis.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-11-11 01:12:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/713866"], "description"=>"<p>**Correlation is significant at the 0.01 level (2-tailed).</p>", "links"=>[], "tags"=>["adiposity", "indices", "visceral", "subcutaneous", "adipose", "ct", "android", "gynoid", "dxa"], "article_id"=>384212, "categories"=>["Chemistry", "Cell Biology", "Medicine", "Biochemistry", "Biotechnology", "Physiology", "Genetics"], "users"=>["Seon Mee Kang", "Ji Won Yoon", "Hwa Young Ahn", "So Yeon Kim", "Kyoung Ho Lee", "Hayley Shin", "Sung Hee Choi", "Kyong Soo Park", "Hak Chul Jang", "Soo Lim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0027694.t002", "stats"=>{"downloads"=>3, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlation_analysis_between_adiposity_indices_including_visceral_and_subcutaneous_adipose_tissue_VAT_and_SAT_measured_by_CT_and_android_and_gynoid_fat_measured_by_DXA_with_various_variables_/384212", "title"=>"Correlation analysis between adiposity indices including visceral and subcutaneous adipose tissue (VAT and SAT) measured by CT and android and gynoid fat measured by DXA with various variables.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-11-11 01:10:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/713921"], "description"=>"<p>HOMA-IR: homeostasis model assessment for insulin resistance.</p>", "links"=>[], "tags"=>["linear", "regression", "associations", "parameters", "summation", "components", "metabolic"], "article_id"=>384266, "categories"=>["Chemistry", "Cell Biology", "Medicine", "Biochemistry", "Biotechnology", "Physiology", "Genetics"], "users"=>["Seon Mee Kang", "Ji Won Yoon", "Hwa Young Ahn", "So Yeon Kim", "Kyoung Ho Lee", "Hayley Shin", "Sung Hee Choi", "Kyong Soo Park", "Hak Chul Jang", "Soo Lim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0027694.t003", "stats"=>{"downloads"=>1, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multivariate_linear_regression_analysis_of_associations_of_multiple_parameters_including_body_composition_with_summation_of_five_individual_components_of_metabolic_syndrome_/384266", "title"=>"Multivariate linear regression analysis of associations of multiple parameters including body composition with summation of five individual components of metabolic syndrome.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-11-11 01:11:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/361590", "https://ndownloader.figshare.com/files/361628", "https://ndownloader.figshare.com/files/361666"], "description"=>"<div><h3>Background</h3><p>Fat accumulation in android compartments may confer increased metabolic risk. The incremental utility of measuring regional fat deposition in association with metabolic syndrome (MS) has not been well described particularly in an elderly population.</p> <h3>Methods and Findings</h3><p>As part of the Korean Longitudinal Study on Health and Aging, which is a community-based cohort study of people aged more than 65 years, subjects (287 male, 75.9±8.6 years and 278 female, 76.0±8.8 years) with regional body composition data using Dual energy X-ray absorptiometry for android/gynoid area, computed tomography for visceral/subcutaneous adipose tissue (VAT/SAT), and cardiometabolic markers including adiponectin and high-sensitivity CRP were enrolled. We investigated the relationship between regional body composition and MS in multivariate regression models. Mean VAT and SAT area was 131.4±65.5 cm<sup>2</sup> and 126.9±55.2 cm<sup>2</sup> in men (P = 0.045) and 120.0±46.7 cm<sup>2</sup> and 211.8±65.9 cm<sup>2</sup> in women (P<0.01). Mean android and gynoid fat amount was 1.8±0.8 kg and 2.5±0.8 kg in men and 2.0±0.6 kg and 3.3±0.8 kg in women, respectively (both P<0.01). VAT area and android fat amount was strongly correlated with most metabolic risk factors compared to SAT or gynoid fat. Furthermore, android fat amount was significantly associated with clustering of MS components after adjustment for multiple parameters including age, gender, adiponectin, hsCRP, a surrogate marker of insulin resistance, whole body fat mass and VAT area.</p> <h3>Conclusions</h3><p>Our findings are consistent with the hypothesized role of android fat as a pathogenic fat depot in the MS. Measurement of android fat may provide a more complete understanding of metabolic risk associated with variations in fat distribution.</p> </div>", "links"=>[], "tags"=>["android", "depot", "metabolic", "abdominal", "visceral"], "article_id"=>131479, "categories"=>["Chemistry", "Cell Biology", "Medicine", "Biochemistry", "Biotechnology", "Physiology", "Genetics"], "users"=>["Seon Mee Kang", "Ji Won Yoon", "Hwa Young Ahn", "So Yeon Kim", "Kyoung Ho Lee", "Hayley Shin", "Sung Hee Choi", "Kyong Soo Park", "Hak Chul Jang", "Soo Lim"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0027694.s001", "https://dx.doi.org/10.1371/journal.pone.0027694.s002", "https://dx.doi.org/10.1371/journal.pone.0027694.s003"], "stats"=>{"downloads"=>21, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Android_Fat_Depot_Is_More_Closely_Associated_with_Metabolic_Syndrome_than_Abdominal_Visceral_Fat_in_Elderly_People/131479", "title"=>"Android Fat Depot Is More Closely Associated with Metabolic Syndrome than Abdominal Visceral Fat in Elderly People", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2011-11-11 00:24:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/713572"], "description"=>"<p>Regional body composition measurement by DXA (A) and CT (B).</p>", "links"=>[], "tags"=>["dxa", "ct"], "article_id"=>383926, "categories"=>["Chemistry", "Cell Biology", "Medicine", "Biochemistry", "Biotechnology", "Physiology", "Genetics"], "users"=>["Seon Mee Kang", "Ji Won Yoon", "Hwa Young Ahn", "So Yeon Kim", "Kyoung Ho Lee", "Hayley Shin", "Sung Hee Choi", "Kyong Soo Park", "Hak Chul Jang", "Soo Lim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0027694.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regional_body_composition_measurement_by_DXA_A_and_CT_B_/383926", "title"=>"Regional body composition measurement by DXA (A) and CT (B).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-11-11 01:05:26"}

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Relative Metric

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