Greater Abdominal Fat Accumulation Is Associated with Higher Metabolic Risk in Chinese than in White People: An Ethnicity Study
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{"title"=>"Greater Abdominal Fat Accumulation Is Associated with Higher Metabolic Risk in Chinese than in White People: An Ethnicity Study", "type"=>"journal", "authors"=>[{"first_name"=>"Wei", "last_name"=>"He", "scopus_author_id"=>"36078962100"}, {"first_name"=>"Sha", "last_name"=>"Zhang", "scopus_author_id"=>"55624419500"}, {"first_name"=>"Aihua", "last_name"=>"Song", "scopus_author_id"=>"55623964500"}, {"first_name"=>"Min", "last_name"=>"Yang", "scopus_author_id"=>"56274295300"}, {"first_name"=>"Jingjing", "last_name"=>"Jiao", "scopus_author_id"=>"9737789700"}, {"first_name"=>"David B.", "last_name"=>"Allison", "scopus_author_id"=>"7202902345"}, {"first_name"=>"Steven B.", "last_name"=>"Heymsfield", "scopus_author_id"=>"36038154600"}, {"first_name"=>"Shankuan", "last_name"=>"Zhu", "scopus_author_id"=>"7404391225"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84875013808", "doi"=>"10.1371/journal.pone.0058688", "issn"=>"19326203", "pui"=>"368535228", "pmid"=>"23516538", "scopus"=>"2-s2.0-84875013808"}, "id"=>"a6f775e0-3075-3932-93cb-d7e01dc060a5", "abstract"=>"INTRODUCTION: Chinese are reported to have a higher percent body fat (%BF) and a higher percent trunk fat (%TF) than whites for a given body mass index (BMI). However, the associations of these ethnic differences in body composition with metabolic risks remain unknown.\\n\\nMETHODS AND PROCEDURES: A total of 1 029 Chinese from Hangzhou, China, and 207 whites from New York, NY, USA, were recruited in the present study. Body composition was measured using dual-energy X-ray absorptiometry (DXA). Analysis of covariance was used to assess the ethnic differences in fat, fat distribution, and metabolic risk factors.\\n\\nRESULTS: After adjusting for BMI, age, and height, Chinese men had an average of 3.9% more %BF and 12.1% more %TF than white men; Chinese women had an average of 2.3% more %BF and 11.8% more %TF than white women. Compared with whites, higher metabolic risks were detected in Chinese for a given BMI after adjusting for age and height. Further adjustment for %BF did not change these ethnic disparities. However, after adjusting for %TF, the ethnic differences decreased and become insignificant in triglyceride, high-density lipoprotein cholesterol, and blood pressure (except for systolic blood pressure in men). For fasting plasma glucose, the ethnic differences persisted after adjustment for %BF, but decreased significantly from 0.910 to 0.686 mmol/L among men, and from 0.629 to 0.355 mmol/L among women, when the analyses were further controlled for %TF.\\n\\nDISCUSSION: Chinese have both higher %BF and %TF than white people for a given BMI. However, only %TF could in part account for the higher metabolic risk observed in Chinese men and women.", "link"=>"http://www.mendeley.com/research/greater-abdominal-fat-accumulation-associated-higher-metabolic-risk-chinese-white-people-ethnicity-s-1", "reader_count"=>22, "reader_count_by_academic_status"=>{"Unspecified"=>6, "Professor > Associate Professor"=>1, "Researcher"=>2, "Student > Doctoral Student"=>1, "Other"=>4, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>6, "Professor > Associate Professor"=>1, "Researcher"=>2, "Student > Doctoral Student"=>1, "Other"=>4, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Engineering"=>1, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>3, "Agricultural and Biological Sciences"=>4, "Neuroscience"=>1, "Business, Management and Accounting"=>1, "Sports and Recreations"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Psychology"=>1, "Social Sciences"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>6}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"Belgium"=>1, "Nigeria"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/988349"], "description"=>"<p>Error bars represent 95% confidence intervals. Data were analyzed by using analysis of covariance (ANCOVA) with “ethnicity” as the grouping variable and the listed variables as covariates. BMI, body mass index. *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001, for the difference with white men or women, respectively.</p>", "links"=>[], "tags"=>["ethnicity", "men"], "article_id"=>652861, "categories"=>["Chemistry", "Medicine", "Genetics", "Biotechnology"], "users"=>["Wei He", "Sha Zhang", "Aihua Song", "Min Yang", "Jingjing Jiao", "David B. Allison", "Steven B. Heymsfield", "Shankuan Zhu"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0058688.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percentage_body_fat_and_percentage_trunk_fat_by_ethnicity_in_men_and_women_/652861", "title"=>"Percentage body fat and percentage trunk fat by ethnicity in men and women.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-03-15 14:03:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/988351"], "description"=>"<p>Bar heights indicate the mean difference, whereas error bars represent 95% confidence intervals. Data were analyzed by analysis of covariance (ANCOVA) with “ethnicity” as the grouping variable and the listed variables as covariates. Ht, height; BMI, body mass index; %BF, body fat divided by body weight; %TF, trunk fat divided by body fat.</p>", "links"=>[], "tags"=>["differences", "metabolic"], "article_id"=>652863, "categories"=>["Chemistry", "Medicine", "Genetics", "Biotechnology"], "users"=>["Wei He", "Sha Zhang", "Aihua Song", "Min Yang", "Jingjing Jiao", "David B. Allison", "Steven B. Heymsfield", "Shankuan Zhu"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0058688.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ethnic_differences_Chinese_white_in_metabolic_risk_factors_in_men_/652863", "title"=>"Ethnic differences (Chinese - white) in metabolic risk factors in men.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-03-15 14:04:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/988352"], "description"=>"<p>Bar heights indicate the mean difference, whereas error bars represent 95% confidence intervals. Data were analyzed by analysis of covariance (ANCOVA) with “ethnicity” as the grouping variable and the listed variables as covariates. Ht, height; BMI, body mass index; %BF, body fat divided by body weight; %TF, trunk fat divided by body fat.</p>", "links"=>[], "tags"=>["differences", "metabolic"], "article_id"=>652864, "categories"=>["Chemistry", "Medicine", "Genetics", "Biotechnology"], "users"=>["Wei He", "Sha Zhang", "Aihua Song", "Min Yang", "Jingjing Jiao", "David B. Allison", "Steven B. Heymsfield", "Shankuan Zhu"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0058688.g004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ethnic_differences_Chinese_white_in_metabolic_risk_factors_in_women_/652864", "title"=>"Ethnic differences (Chinese - white) in metabolic risk factors in women.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-03-15 14:05:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/988353", "https://ndownloader.figshare.com/files/988354", "https://ndownloader.figshare.com/files/988355"], "description"=>"<div><p>Introduction</p><p>Chinese are reported to have a higher percent body fat (%BF) and a higher percent trunk fat (%TF) than whites for a given body mass index (BMI). However, the associations of these ethnic differences in body composition with metabolic risks remain unknown.</p> <p>Methods and Procedures</p><p>A total of 1 029 Chinese from Hangzhou, China, and 207 whites from New York, NY, USA, were recruited in the present study. Body composition was measured using dual-energy X-ray absorptiometry (DXA). Analysis of covariance was used to assess the ethnic differences in fat, fat distribution, and metabolic risk factors.</p> <p>Results</p><p>After adjusting for BMI, age, and height, Chinese men had an average of 3.9% more %BF and 12.1% more %TF than white men; Chinese women had an average of 2.3% more %BF and 11.8% more %TF than white women. Compared with whites, higher metabolic risks were detected in Chinese for a given BMI after adjusting for age and height. Further adjustment for %BF did not change these ethnic disparities. However, after adjusting for %TF, the ethnic differences decreased and become insignificant in triglyceride, high-density lipoprotein cholesterol, and blood pressure (except for systolic blood pressure in men). For fasting plasma glucose, the ethnic differences persisted after adjustment for %BF, but decreased significantly from 0.910 to 0.686 mmol/L among men, and from 0.629 to 0.355 mmol/L among women, when the analyses were further controlled for %TF.</p> <p>Discussion</p><p>Chinese have both higher %BF and %TF than white people for a given BMI. However, only %TF could in part account for the higher metabolic risk observed in Chinese men and women.</p> </div>", "links"=>[], "tags"=>["abdominal", "accumulation", "higher", "metabolic", "chinese", "ethnicity", "study"], "article_id"=>652865, "categories"=>["Chemistry", "Medicine", "Genetics", "Biotechnology"], "users"=>["Wei He", "Sha Zhang", "Aihua Song", "Min Yang", "Jingjing Jiao", "David B. Allison", "Steven B. Heymsfield", "Shankuan Zhu"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0058688.s001", "https://dx.doi.org/10.1371/journal.pone.0058688.s002", "https://dx.doi.org/10.1371/journal.pone.0058688.s003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Greater_Abdominal_Fat_Accumulation_Is_Associated_with_Higher_Metabolic_Risk_in_Chinese_than_in_White_People_An_Ethnicity_Study__/652865", "title"=>"Greater Abdominal Fat Accumulation Is Associated with Higher Metabolic Risk in Chinese than in White People: An Ethnicity Study", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-03-15 14:06:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1007240"], "description"=>"1<p>All continuous values are presented as means with standard deviations. %BF, body fat divided by body weight; %TF, trunk fat divided by body fat; FPG, fasting plasma glucose; SBP, systolic blood pressure; DBP, diastolic blood pressure; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol. Differences between ethnic groups were tested by using Student’s t-test. <i>P</i> values for the difference between Chinese and white subjects: *<0.05, **<0.01, ***<0.001.</p>2<p>A total of 158 whites (66 men and 92 women) were included for the analysis of TG, HDL-C, and FPG, and 92 whites (41 men and 51 women) were included for the analysis of BP.</p>", "links"=>[], "tags"=>["subjects"], "article_id"=>667862, "categories"=>["Chemistry", "Medicine", "Genetics", "Biotechnology"], "users"=>["Wei He", "Sha Zhang", "Aihua Song", "Min Yang", "Jingjing Jiao", "David B. Allison", "Steven B. Heymsfield", "Shankuan Zhu"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0058688.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_the_subjects_by_gender_and_ethnicity_1_/667862", "title"=>"Characteristics of the subjects by gender and ethnicity<sup>1</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-03-14 02:11:02"}

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Relative Metric

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